HBase Introduction and Facebook Case Study

As we mentioned in our Hadoop Ecosytem blog, HBase is an essential part of our Hadoop ecosystem. So now, I would like to take you through HBase tutorial, where I will introduce you to Apache HBase, and then, we will go through the Facebook Messenger case-study. We are going to cover following topics in this HBase tutorial blog:

  • History of Apache HBase 
  • Introduction of Apache HBase
  • NoSQL Databases and its types
  • HBase vs Cassandra
  • Apache HBase Features
  • HBase vs HDFS
  • Facebook Messenger Case Study

Apache HBase Tutorial: History

Let us start with the history of HBase and know how HBase has evolved over a period of time.

History of HBase - HBase Tutorial - Edureka

  • Apache HBase is modelled after Google’s BigTable, which is used to collect data and serve request for various Google services like Maps, Finance, Earth etc.
  • Apache HBase began as a project by the company Powerset for Natural Language Search, which was handling massive and sparse data sets.
  • Apache HBase was first released in February 2007. Later in January 2008, HBase became a sub project of Apache Hadoop.
  • In 2010, HBase became Apache’s top level project.

Apache HBase Tutorial: Introduction to HBase

HBase is an open source, multidimensional, distributed, scalable and a NoSQL database written in Java. HBase runs on top of HDFS (Hadoop Distributed File System) and provides BigTable like capabilities to Hadoop. It is designed to provide a fault tolerant way of storing large collection of sparse data sets.

Since, HBase achieves high throughput and low latency by providing faster Read/Write Access on huge data sets. Therefore, HBase is the choice for the applications which require fast & random access to large amount of data.

It provides compression, in-memory operations and Bloom filters (data structure which tells whether a value is present in a set or not) to fulfill the requirement of fast and random read-writes.

Let’s understand it through an example: A jet engine generates various types of data from different sensors like pressure sensor, temperature sensor, speed sensor, etc. which indicates the health of the engine. This is very useful to understand the problems and status of the flight. Continuous Engine Operations generates 500 GB data per flight and there are 300 thousand flights per day approximately. So, Engine Analytics applied to such data in near real time can be used to proactively diagnose problems and reduce unplanned downtime. This requires a distributed environment to store large amount of data with fast random reads and writes for real time processing. Here, HBase comes for the rescue. I will talk about HBase Read and Write in detail in my next blog on HBase Architecture.

As we know, HBase is a NoSQL database. So, before understanding more about HBase, lets first discuss about the NoSQL databases and its types.

Apache HBase Tutorial: NoSQL Databases

NoSQL means Not only SQL. NoSQL databases is modeled in a way that it can represent data other than tabular formats, unkile relational databases. It uses different formats to represent data in databases and thus, there are different types of NoSQL databases based on their representation format. Most of NoSQL databases leverages availability and speed over consistency. Now, let us move ahead and understand about the different types of NoSQL databases and their representation formats.   


NoSQL Databases comparision - HBase Tutorial - Edureka

Key-Value stores: 

It is a schema-less database which contains keys and values. Each key, points to a value which is an array of bytes, can be a string, BLOB, XML, etc. e.g. Lamborghini is a key and can point to a value Gallardo, Aventador, Murciélago, Reventón, Diablo, Huracán, Veneno, Centenario etc.

Key-Value stores databases: Aerospike, Couchbase, Dynamo, FairCom c-treeACE, FoundationDB, HyperDex, MemcacheDB, MUMPS, Oracle NoSQL Database, OrientDB, Redis, Riak, Berkeley DB.


Key-value stores handle size well and are good at processing a constant stream of read/write operations with low latency. This makes them perfect for User preference and profile stores, Product recommendations; latest items viewed on a retailer website for driving future customer product recommendations, Ad servicing; customer shopping habits result in customized ads, coupons, etc. for each customer in real-time.

Document Oriented:

It follows the same key value pair, but it is semi structured like XML, JSON, BSON. These structures are considered as documents.

Document Based databases: Apache CouchDB, Clusterpoint, Couchbase, DocumentDB, HyperDex, IBM Domino, MarkLogic, MongoDB, OrientDB, Qizx, RethinkDB.


As document supports flexible schema, fast read write and partitioning makes it suitable for creating user databases in various services like twitter, e-commerce websites etc.

Column Oriented:

In this database, data is stored in cell grouped in column rather than rows. Columns are logically grouped into column families which can be either created during schema definition or at runtime.

These types of databases store all the cell corresponding to a column as continuous disk entry, thus making the access and search much faster.  

Column Based Databases: HBase, Accumulo, Cassandra, Druid, Vertica.


It supports the huge storage and allow faster read write access over it. This makes column oriented databases suitable for storing customer behaviors in e-commerce website, financial systems like Google Finance and stock market data, Google maps etc. 

Graph Oriented:

It is a perfect flexible graphical representation, used unlike SQL. These types of databases easily solve address scalability problems as it contains edges and node which can be extended according to the requirements.

Graph based databases: AllegroGraph, ArangoDB, InfiniteGraph, Apache Giraph, MarkLogic, Neo4J, OrientDB, Virtuoso, Stardog.


This is basically used in Fraud detection, Real-time recommendation engines (in most cases e-commerce), Master data management (MDM), Network and IT operations, Identity and access management (IAM), etc.


HBase and Cassandra are the two famous column oriented databases. So, now talking it to a higher level, let us compare and understand the architectural and working differences between HBase and Cassandra.

HBase Tutorial: HBase VS Cassandra

  • HBase is modelled on BigTable (Google) while Cassandra is based on DynamoDB (Amazon) initially developed by Facebook.
  • HBase leverages Hadoop infrastructure (HDFS, ZooKeeper) while Cassandra evolved separately but you can combine Hadoop and Cassandra as per your needs.
  • HBase has several components which communicate together like HBase HMaster, ZooKeeper, NameNode, Region Severs. While Cassandra is a single node type, in which all nodes are equal and performs all functions. Any node can be the coordinator; this removes Single Point of failure.
  • HBase is optimized for read and supports single writes, which leads to strict consistency. HBase supports Range based scans, which makes scanning process faster. Whereas Cassandra supports single row reads which maintains eventual consistency.
  • Cassandra does not support range based row scans, which slows the scanning process as compared to HBase.
  • HBase supports ordered partitioning, in which rows of a Column Family are stored in RowKey order, whereas in Casandra ordered partitioning is a challenge. Due to RowKey partitioning the scanning process is faster in HBase as compared to Cassandra.
  • HBase does not support read load balancing, one Region Server serves the read request and the replicas are only used in case of failure. While Cassandra supports read load balancing and can read the same data from various nodes. This can compromise the consistency.
  • In CAP (Consistency, Availability & Partition -Tolerance) theorem HBase maintains Consistency and Availability while Cassandra focuses on Availability and Partition -Tolerance.

Now let’s take a deep dive and understand the features of Apache HBase which makes it so popular.

Apache HBase Tutorial: Features of HBase

Features of HBase - HBase Tutorial - Edureka


  • Atomic read and write: On a row level, HBase provides atomic read and write. It can be explained as, during one read or write process, all other processes are prevented from performing any read or write operations.
  • Consistent reads and writes: HBase provides consistent reads and writes due to above feature.
  • Linear and modular scalability: As data sets are distributed over HDFS, thus it is linearly scalable across various nodes, as well as modularly scalable, as it is divided across various nodes.
  • Automatic and configurable sharding of tables: HBase tables are distributed across clusters and these clusters are distributed across regions. These regions and clusters split, and are redistributed as the data grows.
  • Easy to use Java API for client access: It provides easy to use Java API for programmatic access.
  • Thrift gateway and a REST-ful Web services: It also supports Thrift and REST API for non-Java front-ends.
  • Block Cache and Bloom Filters: HBase supports a Block Cache and Bloom Filters for high volume query optimization .
  • Automatic failure support: HBase with HDFS provides WAL (Write Ahead Log) across clusters which provides automatic failure support.
  • Sorted rowkeys: As searching is done on range of rows, HBase stores rowkeys in a lexicographical order. Using these sorted rowkeys and timestamp, we can build an optimized request.

Now moving ahead in this HBase tutorial, let me tell you what are the use-cases and scenarios where HBase can be used and then, I will compare HDFS and HBase.

I would like draw your attention toward the scenarios in which the HBase is the best fit. 

HBase Tutorial: Where we can use HBase?

  • We should use HBase where we have large data sets (millions or billions or rows and columns) and we require fast, random and real time, read and write access over the data.
  • The data sets are distributed across various clusters and we need high scalability to handle data.
  • The data is gathered from various data sources and it is either semi structured or unstructured data or a combination of all. It could be handled easily with HBase.
  • You want to store column oriented data.
  • You have lots of versions of the data sets and you need to store all of them.

Before I jump to Facebook messenger case study, let me tell you what are the differences between HBase and HDFS.

HBase Tutorial: HBase VS HDFS

HDFS is a Java based distributed file system that allows you to store large data across multiple nodes in a Hadoop cluster. So, HDFS is an underlying storage system for storing the data in the distributed environment. HDFS is a file system, whereas HBase is a database (similar as NTFS and MySQL).

As Both HDFS and HBase stores any kind of data (i.e. structured, semi-structured and unstructured) in a distributed environment so lets look at the differences between HDFS file system and HBase, a NoSQL database. 

  • HBase provides low latency access to small amounts of data within large data sets while HDFS provides high latency operations.
  • HBase supports random read and writes while HDFS supports WORM (Write once Read Many or Multiple times).
  • HDFS is basically or primarily accessed through MapReduce jobs while HBase is accessed through shell commands, Java API, REST, Avro or Thrift API.

HDFS stores large data sets in a distributed environment and leverages batch processing on that data. E.g. it would help an e-commerce website to store millions of customer’s data in a distributed environment which grew over a long period of time(might be 4-5 years or more). Then it leverages batch processing over that data and analyze customer behaviors, pattern, requirements. Then the company could find out what type of product, customer purchase in which months. It helps to store archived data and execute batch processing over it. 

While HBase stores data in a column oriented manner where each column is stored together so that, reading becomes faster leveraging real time processing. E.g. in a similar e-commerce environment, it stores millions of product data. So if you search for a product among millions of products, it optimizes the request and search process, producing the result immediately (or you can say in real time). The detailed HBase architectural explanation, I will be covering in my next blog.

As we know HBase is distributed over HDFS, so a combination of both gives us a great opportunity to use the benefits of both, in a tailored solution, as we are going to see in the below Facebook messenger case study.   


HBase Tutorial: Facebook Messenger Case Study

Facebook Messaging Platform shifted from Apache Cassandra to HBase in November 2010.

Facebook Messenger combines Messages, email, chat and SMS into a real-time conversation. Facebook was trying to build a scalable and robust infrastructure to handle set of these services.

At that time the message infrastructure handled over 350 million users sending over 15 billion person-to-person messages per month. The chat service supports over 300 million users who send over 120 billion messages per month.

By monitoring the usage, they found out that, two general data patterns emerged:

  • A short set of temporal data that tends to be volatile
  • An ever-growing set of data that rarely gets accessed

Facebook wanted to find a storage solution for these two usage patterns and they started investigating to find a replacement for the existing Messages infrastructure.

Earlier in 2008, they used open-source database, i.e. Cassandra, which is an eventual-consistency key-value store that was already in production serving traffic for Inbox Search. Their teams had a great knowledge in using and managing a MySQL database, so switching either of the technologies was a serious concern for them.

They spent a few weeks testing different frameworks, to evaluate the clusters of MySQL, Apache Cassandra, Apache HBase and other systems. They ultimately selected HBase.

As MySQL failed to handle the large data sets efficiently, as the indexes and data sets grew large, the performance suffered. They found Cassandra unable to handle difficult pattern to reconcile their new Messages infrastructure.

The major problems were: 

  • Storing the large sets of continuously growing data from various Facebook services.
  • Requires Database which can leverage high processing on it.
  • High performance needed to serve millions of requests.
  • Maintaining consistency in storage and performance.

Facebook Challenges - HBase Tutorial - Edureka

Figure: Challenges faced by Facebook messenger

For all these problems, Facebook came up with a solution i.e. HBase. Facebook adopted HBase for serving Facebook messenger, chat, email, etc.  due to its various features.

HBase comes with very good scalability and performance for this workload with a simpler consistency model than Cassandra. While they found HBase to be the most suitable in terms of their requirements like auto load balancing and failover, compression support, multiple shards per server, etc.

HDFS, which is the underlying file system used by HBase also provided them several needed features such as end-to-end checksums, replication and automatic load re-balancing.

Facebook HBase Solution - HBase Tutorial - Edureka

Figure: HBase as a solution to Facebook messenger

As they adopted HBase, they also focused on committing the results back to HBase itself and started working closely with the Apache community.

Since messages accept data from different sources such as SMS, chats and emails, they wrote an application server to handle all decision making for a user’s message. It interfaces with large number of other services. The attachments are stored in a Haystack (which works on HBase). They also wrote a user discovery service on top of Apache ZooKeeper which talk to other infrastructure services for friend relationships, email account verification, delivery decisions and privacy decisions.

Facebook team spent a lot of time confirming that each of these services is robust, reliable and providing good performance to handle a real-time messaging system.

I hope this HBase tutorial blog is informative and you liked it. In this blog, you got to know the basics of HBase and its features. In my next blog of Hadoop Tutorial Series, I will be explaining the architecture of HBase and working of HBase which makes it popular for fast and random read/write.


Now that you have understood the basics of HBase, check out the Hadoop training by Edureka, a trusted online learning company with a network of more than 250,000 satisfied learners spread across the globe. The Edureka Big Data Hadoop Certification Training course helps learners become expert in HDFS, Yarn, MapReduce, Pig, Hive, HBase, Oozie, Flume and Sqoop using real-time use cases on Retail, Social Media, Aviation, Tourism, Finance domain.

Got a question for us? Please mention it in the comments section and we will get back to you.

HBase Tutorial | NoSQL Databases | Edureka

After knowing about the history of Apache HBase, you would be curious to know what is Apache HBase? Let us move further and take a look.

Original article source at: https://www.edureka.co/

#hbase #facebook #case #study 

HBase Introduction and Facebook Case Study
Maitri Sharma

Maitri Sharma


What is Interconversion of Matter Class 9 Notes by Physics Wallah

The phenomenon of change of matter form one state to another state and back to original state, by altering the conditions of temperature and pressure, is called the interconversion of matter.

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What is Interconversion of Matter Class 9 Notes by Physics Wallah

Webエンジニアの理想と現実 2

🎎 質問回答テンプレ

📙 もくじ
0:00 エンジニアは人と関わらなくて良い
1:18 エンジニアは仕事に困らない
2:28 エンジニアは時間に縛られず働ける
3:56 エンジニアは服装が自由である
4:55 エンジニアは海外でも働きやすい
5:55 チャンネル登録お願いします

🏷️ タグ
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Webエンジニアの理想と現実 2
Cyril  Parisian

Cyril Parisian


How to Build a Guessing Game with C++

Building a guessing game is a great way to get familiar with any new computer programming language. In this tutorial, I’ll walk you through a C++ program that allows the user to guess a secret number.

Our program will pick a secret number at random and the user will get a chance to guess the number. If they choose correctly, we’ll let them know they’ve won the game. Otherwise, we’ll let them know they’ve failed.

I’m assuming you have a C++ compiler installed on your computer. If not, you’ll want to stop now and install a compiler. If you’re on a Windows machine, you can follow our guide to getting started with C++.

Planning the Project

Before getting started with any program, it’s a good idea to plan ahead. Our program is pretty basic, but it still requires several components.

For starters, we need to generate a random number for the computer to guess. We can do that in C++ using the rand() function.

We’ll also need to get input from the user. That’s a bit trickier because we’ll need to validate the input data as well.

Lastly, we’ll need to compare the user input to the secret number and let them know if they’ve guessed correctly or not. Using these instructions, we can start building our guessing game.

Loading Libraries

The first thing we need to do is figure out what C++ libraries we’ll need for our program to work. These will be included at the top of the program. Use **#include **to import a library’s header files.

The first library our program needs is iostream. We’ll use this library to handle the basic input and output of our guessing game.

What is a C++ library?

A C++ library includes codes that will be used in many different programs. Typically, a library contains functions and classes that handle a generic operation that many developers are likely to want. For instance, C++ comes with libraries for handling input and output, a common task in many programs.

Laying out the main() Function

Our m_ain_() function is where our program begins. When we execute the program, the m_ain_() function serves as the entry point.

When the program starts, we want to begin the game. We can do this by calling a function. This function will handle the logic of the game, keeping it outside the m_ain_() function.

#include <iostream>
#include <string>

using namespace std;
void playGame();
int main(){
 return 0;
void playGame(){

If you were to compile this program and run it, nothing would happen. It doesn’t really do anything at this point. The next step is to add some interactivity to the code.

Getting User Input

Now that the m_ain_() function is ready to go, we can move on to getting input from the user. The trick here is to make sure we receive valid input. Because our secret number is within a specific range (1–10), we need to make sure the user enters a number that is within this range.

Getting the input is easy. We can use **cin **to ask the user for a number. Doing so inside a while loop allows us to give the user a second chance to enter a valid number.

To ensure the user gives us a number, we can use stio(). This function is a part of the **string **library, so we’ll need to include it in our program using #include.

#include <string>

The stio() function will convert the user input to an integer, but we still need to ensure the user gave us a number. What if they try to guess a word instead of a number? What we need is a way to force the user to give us only valid data.

We can do that in a number of ways. The standard way is to use a try-block to ensure that the input data is valid.

Writing the Input Function

Because we’re going to be reusing it, our input code should be inside its own logic. This way, if the player gives us bad input, we can ask them to try again.

We’ll also add a special case for exiting the game. Since our guessing range is between 1 and 10, we’ll let the user enter a “0” to quit the game, otherwise they’ll be stuck playing forever.

Before we can write the function, we’ll have to add some global variables. These go at the top of the program.

#include <iostream>
#include <string>

using namespace std;
// Global Variables
string s = "10";
int i = 0;

We’ll use a string to keep up with the user input data. An integer will store the user’s guess after we convert it to an int.

In the g_etInput_() function, we use a try-block to get the user’s guess. We also use conditional statements to handle all the possible cases of user input.

int getInput(){
  // we'll first try to get an integer
  try {
    cout << "--------------------------------------" << endl;
    cout << "Guess a number 1 - 10, or 0 to quit: " << endl;
    cin >> s;
    i = stoi(s); // convert the string to an int
    // make sure the number is in range
    if(i > 10 || i < 0){
      cout << "Out of range." << endl;
    // getting here means we have a valid number
    else {
        cout << "You guessed " << i << endl;
  catch (invalid_argument const &e){
    cout << "Bad input: invalid_argument thrown" << endl;
  catch(out_of_range const &e){
    cout << "Integer overflow" << endl;
return i;

By wrapping this function call inside a while loop in the p_layGame_() function, we’ll ensure the program repeats, asking the user to guess a new number until they quit the game.

void playGame(){

while(s != "0")
    int guess = getInput();

#guides-and-tutorials #programming-tutorials #study #learn-programming #c++

How to Build a Guessing Game with C++
Juanita  Apio

Juanita Apio


Tips for Azure AI-900 Certification

I recently passed the Azure AI Fundamentals certification exam and would like to share a few tips on how to prepare for the exam. I studied for a couple of hours a night for approximately 3 weeks and took Fridays off, because… Friday 😁.

First things first, everything you need to study is available for FREE!

At the bottom of the certification page you can see all of the material you need to study via Microsoft Learn. This is a step by step path for you to master everything needed for the certification.

You can see that the skills measured are in these main topics, click download certification skills outline for a more detailed explanation.

**Tip 1 **— Prepare your study materials

Copy the detailed explanation to a place like OneNote, so you can cross what you have already studied, revisit that before and after your study sessio_ns._

AI-900 study requirements

Spend a few minutes formatting it. I like putting check boxes in front of mine. This allows me to easily mark what I have already studied. You can also do something similar in a spreadsheet if you prefer.

Alright, now that you have what you need to study for the exam, its time to prepare the materials. For this exam I used Microsoft Learn(it has everything that you will need) and YouTube.

Tip 2 — Use more than one learning source

Microsoft Learn is great, easy to use, very well detailed, but even better it has free hands-on exercises that you can, in some lessons, open up a virtual machine that’s preloaded with the materials so you don’t have to install anything on your own.

I like YouTube as well because it helps hearing a different perspective from other people, as well as reinforcing what you have studied so far.

I particularly liked this video from Daniel Baker where he explains the same examples from MS Learn, as well as this playlist with smaller videos from A Guide To Cloud they are a great recap after each module studied.

Tip 3 — Copy down your study materials as you go through them, highlight areas you feel are important and take notes.

I like copying the content I’m studying (in this case from Microsoft Learn) to OneNote, I find it easy to group things as well as search through the materials later on

Microsoft Learn Material Notes

Tip 4 — Review your previous study session.

At the beginning of each study session I take a few moments and skim over the prior session. I’m not rereading it, I’m just looking it over as a quick refresher. This helps me keep what I have already learned fresh in my mind. Specially after a few weeks of study. I really like doing this, specially when I am studying a topic that is not related to my day to day work.

#tips #study #ai

Tips for Azure AI-900 Certification
Carrie Myers

Carrie Myers


Three Top Tips for Concluding an Argument Essay

An argumentative essay is arguably one of the most important parts of the entire writing process. *Like any essay, there are several ways to write them.
However, the most common form of a reasoned essay is primarily an argument or argument with someone else. *
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The fact is that this form of essay is one of the easiest to write and the best for expressing one’s own opinion and justifying a certain position. If you are stuck with any part of this essay, I will give you three basic tips to help you.
First, as with any reasoned essay, the best way to write a conclusion is with a strong thesis. See how our writers do it here https://www.wiseessays.com/college-essay. As always, it is helpful to remember that a reasoned essay should contain an introductory part, a body, and a final conclusion, which you are going to discuss in detail. Any good argument requires a strong thesis to be effective. Without one, your essay will be very weak and most likely won’t hold up to your audience’s attention.
This is image title
A reasoned conclusion gives you the best way to argue your case and justify your position on the best way to reach a certain conclusion. Second, an essay’s reasoned conclusion should always start with a strong closing statement. The last part of your essay should always start with your last statement. This will let readers know what to expect from the following sections. Your conclusion will allow readers to have a good idea of where you want them to end up after reading your entire essay.

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Three Top Tips for Concluding an Argument Essay

Emily Moore


Law Assignment Help at Affordable Price | Myassignmenthelp.com

Any legal system follows a standard set of laws, rules, and regulations, which act as the foundations of the law & order in human society. These customary laws are the common laws & civil laws, uncodified legal rules & statutes that dictate the clauses & conditions. These law sets form the basis of almost every other law under the Sun and form a critical aspect of legal studies. Common law assignment help students understand the precedents & applications of these laws better. However, a good score in these assignments requires solid ideas about all statutes, clauses & conditions within.
This write-up casts a combing glance into the nature of common & civil laws existing in our society. Go through for some interesting insights.

Civil & common laws in any country are based upon a distinctive legal heritage or traditions, a set of deep-rooted rules & regulations with tangible precedents. Civil & common law traditions dictate the nature & the role of law in society and determine the operation & organization of a particular legal system.
Understanding common law traditions are vital for a law student to ascertain the nature of a legal system & its applications & interactions with society. If you find it difficult to wrap your head around common & civil law traditions & their influence, you might be needing some professional law assignment & study help.
Civil Law Traditions
Parliamentary legislation is the primary source of civil laws in a country. Specific legislations include codes, statutes, and ancillaries. Most countries exhibit a hierarchy of rules, with the Constitutions at the top, followed by codes & other legislation, executive decrees, regulations, and local ordinances.
Codification ensures a rational, logical & systematic approach to administering law & order and lies at the heart of civil law traditions. Precedents and codification are given preference over any new interpretation of laws. Typical civil law traditions emphasize that the code contains all the information necessary to decide upon a case.
Common-Law Traditions
The most prominent contrast between the structure & manner of application between civil & common laws is that the former allows for logical analysis & possesses a coherent system. At the same time, the latter is much more chaotic as it looks to resolve concrete problems with immediacy. Common law traditions are much more flexible and creative but draw criticism from many corners regarding their unsystematic nature.
Assignment papers on common law will test students’ grasp of the statutes, besides evaluating their intuition regarding their application. If you are struggling with your documents, drop a ‘write my paper’ request at affordable law assignment paper writing services for quality academic assistance.

Well, that wraps up this little article on common & civil law traditions. Here’s hoping this information helps you out in some way or the other. Remember to comb & analyze any law sets thoroughly for better understanding. And, always look for genuine law assignment help services in case of any assignment trouble.
All the best!

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Lilac Infotech

Lilac Infotech


Masters In UK For Indian Students

Masters in UK for Indian Students.Golden oppurtunity for Indian students to study abroda. Check out the top destinations in UK

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Masters In UK For Indian Students

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Students of colleges and universities encounter a high level of stress to complete their papers. This is why they need Law assignment help to write a flawless assignment. Selecting the best assignment help service in your budget can be tricky.

Dozens of companies are there to provide online solutions for the students who are unable to complete their assignments right before the examination. So, it is a bit difficult to choose the best company which will be trustworthy and perform to match your expectations. You need to follow the following guidelines while selecting a paper writer. Take a look.

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Lilac Infotech

Lilac Infotech


Study In UK And Cost Of Studying In UK For Indian Students

The United Kingdom is always a top preference when it comes to enriching experiences and contemporary environment. Scholars from all over the world wish to study in UK. The country’s legacy and world-renowned education system appeal to students to come and study in the UK. Living and learning in such a beautiful country will add tremendous value to your career and your knowledge.

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Study In UK And Cost Of Studying In UK For Indian Students

Case Study on mobile app : Proclapp- Prismetric

Proclapp application is all about sharing knowledge, asking & answering the questions, writing articles, upload & request the user and expert through voice notes and video, upload and share research papers. It brings all intellectuals and knowledge seekers together to create and share knowledgeable content for the benefit of humanity.

Client Requirement
To develop the mobile app and web application to create a platform to bring together people where they can ask, answer/solve the questions/problem, seek the help of expert through voice & video publish research papers and chat with a friend with followers/following functionalities.

Application features and functionality
➛ View and interact with the category wise questions/answers, articles, voice, video, and research paper posted by the other users.
➛ Able to answer the questions like discuss the articles, carry forward the questions & articles to discuss later/future date, and flash the questions and articles to the connections.
➛ Ask new questions, write new articles, make voice and video notes to request expert and upload the research paper.
➛ View questions/answers, articles, voice & video and uploaded research paper separately.
➛ Search for the questions, article and research paper.
➛ Navigate the other menus.
➛ Able to see the list of experts and profile of them.
➛ Ask questions and seek expert advice from them.
➛ Able to post the advertisement with Description, Images, and links.
➛ Choose the time for the advertisement to stay live and proceed with the payment for that.
➛ View & edit profile details and save the changes.
➛ Add and modify the exciting topics and categories.
➛ View the questions/answers, article, voice, video, and research paper posted by the user.
➛ View number of followers & following and list of it.
➛ Trending topics
➛ List of Expert
➛ View the list of friends and suggestions
➛ Able to add as a friend.
➛ Able to chat with friends one to one
➛ Receive notification for each and every action
➛ On/off functionalities for each and every notification
➛ Change password
➛ Help and Support
➛ Bookmark
➛ Category and Topics

Managing the carryover details of the individual user.
Technical Specification & Implementation
➛ Android: Android Studio with Java
➛ iOS: XCode with Swift
➛ Web Application: PHP
Successfully developed and implemented the web application and mobile application (Android & iOS) where users can ask & answer the questions, upload & share articles, upload video and voice notes, and upload research papers. Moreover, users can chat with friends one to one and also upload the advertisement.

#mobile #app #case #study #on #mobile-app

Case Study on mobile app : Toya - Prismetric

Toya Application will help farmers find the various Tractor and Equipment from Verified Provider locally without going outside the home.

Client Requirement
Toya User
Develop the multi-language mobile application that helps a farmer find the tractors and equipment from various providers.
Toya Provider
Develop the multi-language mobile application that lets the provider list their tractor and equipment in the application.
Application Features And Functionalities – Toya User
Home/Choose Tractor

This feature user will choose the required tractors and equipment from various listed tractors & equipment.
Post Job/Requirement

Through this feature, the users will choose the location, booking date & time, and required duration.
My Booking

The user will able to see the current, upcoming, and complete booking details.
Rating and Review

The user will able to give ratings and reviews to the provider once the service is done.

The user will able to load the amount into the wallet and pay for the services through the wallet
Refer and Earn

The user will able to refer the friend and able to earn money.

Application Feature And Functionalities - Toya Provider
Home/Listing of Vehicle
Through this feature, the service provider will able to list their vehicle in the application.
My Order
The service provider will able to see the received order (accept/reject), current order, upcoming order, and completed order.
The user will able to earn the provided service amount in the wallet and able to withdraw it into the bank account.
Earning Statistics
The service provider will able to see the monthly and yearly earnings.
Refer and Earn
User will able to refer the friend and able to earn money.
Provider Settings
Invite users and prospective customers
Contact Us
Language Selection
Technical Specification & Implementation
Android: Android Studio with Java

#case #study #on #mobile #app #case-study-on-mobile-app

Case Study on mobile app : Toya - Prismetric

Case study on mobile app; DreamG

Dream-G application will allow user to chat, voice calls and video calls to random people through the mobile application. The User can create a profile and perform all these actions in addition to searching for a person using their name.

Client Requirement
The client came with the requirement of developing a unique mobile application for users to chat with others and make voice and video calls. Furthermore, the user should be able to subscribe to the plan by paying a certain amount.

App Features and Functionalities
The User can see the list of the people and able to view the profile of a particular person and able to chat, voice call, and video call.
The user can see the list of entertainers and can chat, Voice call and Video call them.
User can search for any person by entering the name.
Through the chat option, the user can see the past history of the chat with all the users. The user can also open any chat and again send messages.
The user can see the profile details and able to edit or modify the profile photo, name, and other details. The user can see the call log details.
The user can see the number of coins available with them and through these coins, the user will able to make voice and video calls.
The user can purchase the plan listed in the application according to the requirements, and will be able to chat with the people.
The User can refer the mobile application to other people and earn rewarding coins.

To create a unique user experience for the Chat, Voice, and Video Calls.

Technical Specification & Implementation
Integration with the payment Gateway
Android: Android Studio with Java
We successfully developed and implemented the Dream-G mobile application through which the user will able to chat, voice call, and video call to other people. The user will also be able to purchase the subscription plan and refer the application to other people.

Read more: https://www.prismetric.com/work/dreamg-app/

#case #study #case-study-on-mobile-app #mobile-app-case-study

Case study on mobile app; DreamG

How to Pass the Oracle Cloud Infrastructure Foundations 2020 Associate

Hi guys! Previously, I’ve published the 3nd of 4 parts of my study notes useful to pass the Oracle Cloud Infrastructure Foundations 2020 Associate. Today I share with you the 4rd part which speaks about pricing and billing, the free tier and about SLAs and support. But before starting, let me list a review of the sections.

Sections Review

Part 1

  1. Exam structure
  2. Basic Cloud concepts
  3. Oracle Cloud Infrastructure (OCI) Architecture

Part 2

  1. Compute services
  2. Storage services
  3. Networking services

Part 3

  1. OCI Identity and Access Management (IAM)
  2. Database services
  3. Security

Part 4 (today)

  1. Pricing and Billing
  2. Free Tier
  3. SLA and Support

Part 4

4.1 Pricing and Billing

  • arguments : pricing models, examples, billing, cost management, free tier

Image for post

Image for post

Photo by Sharon McCutcheon on Unsplash

Pricing models

  • PAYG (pay as you go) :
    • charged only for the resource consumed
    • no upfront commitment
    • no minimum service period
    • usage metered hourly
    • consumption based model for services like Oracle Functions
    • trades Capex for Opex
  • Monthly flex (Universal Credits)
    • minimum of 1000 $ of monthly charge and minimum of 12 months fixed commitment
    • savings 33–60 % vs PAYG
    • discounts based on size of deal and term of deal
    • usage is consumed from monthly prepaid commitment
  • BYOL (Bring your own license) : not truly a pricing model
    • apply your current on-premises Oracle licenses to equivalent services on IaaS & PaaS in the cloud
    • complete license mobility with on-premises

Factors that impact Pricing

  • resource size : n.CPU, storage space, etc.
  • resource type : VMs vs BMs , BYOL vs managed DBs, VMs vs Functions
  • data transfer :
    • no costs for data incoming into the cloud with OCI
    • pay attention for outcoming data (egress costs)
    • all regions have the same prices
  • OCPU per hour
  • VM and BM are the same price because it is for single CPU, but BM has 52 cpu while with VM you can configure 2,4,8, … cpus

Block volume pricing

  • storage cost (GB/month) : 0.0255 $
  • performance cost (VPU/GB) : VPU = volume performance unit
    • basic : NA
    • balanced : with 10 VPU : 0.0017 $
    • higher performance with 20 VPU : 0.034 $
  • example : 100 GB of block volume
    • basic : 200 IOPS, storage = 0.0255 x 100 $ = 2,55 $ , performance = 0 $ , total = 2.55 $
    • balanced : 6000 IOPS, storage = 2,55 $, performance = 0.17 $ , total = 2.72 $
    • higher performance : 7500 IOPS, storage = 2,55 $, performance = 3.4 $ , total = 5.95 $

#oracle #oracle-cloud #study #cloud-computing #certification

How to Pass the Oracle Cloud Infrastructure Foundations 2020 Associate
Annalise  Hyatt

Annalise Hyatt


Learn R the Right Way in 5 Steps — Learn Data Science at Dataquest

R is an increasingly popular programming language, particularly in the world of data analysis and data science. But learning R can be a frustrating challenge if you’re not sure how to approach it.

If you’ve struggled to learn R or another programming language in the past, you’re definitely not alone. And it’s not a failure on your part, or some inherent problem with the language. Usually, it’s the result of a mismatch between what’s motivating you to learn and how you’re actually learning.

This mismatch causes big problems when you’re learning any programming language, because it takes you straight to a place we like to call the cliff of boring.

learn r for data science - the cliff of boring

What is the cliff of boring? It’s the mountain of boring coding syntax and dry practice problems you’re generally asked to work through before you can get to the good stuff — the stuff you actually want to do.

Nobody signs up to learn a programming language because they love syntax. Yet many learning resources, from textbooks to online courses, are written with the idea that students need to master all of the key areas of R syntax before they can do any real work with it.

That’s where new learners tend to drop off in droves. You get excited about learning a programming language because you want to do something with it, and but then you’re immediately led to this huge wall of complicated, boring stuff that’s between you and what you actually want to be doing. It’s no surprise that lots of students give up or drop off at points along their climb up this “cliff.”

There’s no way around learning syntax, in R or any other programming language. But there is a way to avoid the cliff of boring.

It’s a shame that so many students drop off at the cliff, because R is absolutely worth learning! In fact, R has some big advantages over other language for anyone who’s interested in learning data science:

  • The R tidyverse ecosystem makes all sorts of everyday data science tasks very straightforward.
  • Data visualization in R can be both simple and very powerful.
  • R was built to perform statistical computing.
  • The online R community is one of the friendliest and most inclusive of all programming communities.
  • The RStudio integrated development environment (IDE) is a powerful tool for programming with R because all of your code, results, and visualizations are together in one place. With RStudio Cloud you can program in R using RStudio using your web browser.

#learning and motivation #learn r #r #rstats #study

Learn R the Right Way in 5 Steps — Learn Data Science at Dataquest