Birdie  Zboncak

Birdie Zboncak

1624672668

DefHacks Hackathon Workshop: Introduction to NoSQL

DefHacks | Worldwide 3.0 hackathon is a free 36-hour event for high school and college students. It is a worldwide event in which students of all skill levels around can collaborate to create innovative projects to solve the worlds problems. Students can also participate in workshops to learn new skills, ask questions to top tech minds, participate in fun mini-events, and win amazing prizes!

More information and registration here โ€“ https://defhacks.co/hackathons/worldwide_3.0.html

MATERIALS:
https://github.com/datastaxdevs/workshop-introduction-to-nosql

CREATE YOUR NOSQL DB:
https://dtsx.io/Astra-DefHacks

๐ŸŽฅ BACKUP STREAM - If the stream stops working, head to Twitch:
https://www.twitch.tv/datastaxdevs

๐Ÿ”” Sign up to our event alert:
https://bit.ly/subscribe-datastaxdevs

๐Ÿ’ฌ CHAT = DISCORD, ask questions live:
https://bit.ly/cassandra-workshop

โ“FORUM = QUESTIONS during the week community.datastax.com :
https://community.datastax.com

๐ŸŽ“Certifications Infos
https://www.datastax.com/dev/certifications

๐Ÿง‘โ€๐Ÿคโ€๐Ÿง‘ THE WORKSHOP TEAM

๐Ÿš€ ๐Ÿš€ ENJOY !! ๐Ÿš€ ๐Ÿš€

#nosql #defhacks

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DefHacks Hackathon Workshop: Introduction to NoSQL
Birdie  Zboncak

Birdie Zboncak

1624672668

DefHacks Hackathon Workshop: Introduction to NoSQL

DefHacks | Worldwide 3.0 hackathon is a free 36-hour event for high school and college students. It is a worldwide event in which students of all skill levels around can collaborate to create innovative projects to solve the worlds problems. Students can also participate in workshops to learn new skills, ask questions to top tech minds, participate in fun mini-events, and win amazing prizes!

More information and registration here โ€“ https://defhacks.co/hackathons/worldwide_3.0.html

MATERIALS:
https://github.com/datastaxdevs/workshop-introduction-to-nosql

CREATE YOUR NOSQL DB:
https://dtsx.io/Astra-DefHacks

๐ŸŽฅ BACKUP STREAM - If the stream stops working, head to Twitch:
https://www.twitch.tv/datastaxdevs

๐Ÿ”” Sign up to our event alert:
https://bit.ly/subscribe-datastaxdevs

๐Ÿ’ฌ CHAT = DISCORD, ask questions live:
https://bit.ly/cassandra-workshop

โ“FORUM = QUESTIONS during the week community.datastax.com :
https://community.datastax.com

๐ŸŽ“Certifications Infos
https://www.datastax.com/dev/certifications

๐Ÿง‘โ€๐Ÿคโ€๐Ÿง‘ THE WORKSHOP TEAM

๐Ÿš€ ๐Ÿš€ ENJOY !! ๐Ÿš€ ๐Ÿš€

#nosql #defhacks

Trevor  Russel

Trevor Russel

1618115820

New Hackathon For Data Scientists โ€” Workation Price Prediction Challenge

MachineHack, in association with Analytics India Magazine, has come up with yet another hackathon for the machine learning community โ€” the Workation Price Prediction Challenge.

In the light of the new normal, different websites have started providing packages to work from different locations. The concept of workation โ€” a portmanteau of work and vacationโ€“ is gaining currency. However, it is challenging to find a good place with all the amenities, including high-speed internet and a comfortable stay within the budget.

Thus, to solve the real-world problem of finding the best deals for workations, MachineHack is challenging the machine learning community to build a model for predicting the price per person for workation trips.

To facilitate this, MachineHack has collected workation packages in and around India โ€” starting from Kashmir to Kanyakumari and from Gujarat to Assam. The data has more than 18000+ rows of different packages with details like start location, hotel type, cost per person, destination, itinerary, and many more. Using this dataset, along with the knowledge of machine learning, deep learning, and model building, the participants need to create a model that can efficiently and accurately predict a workation tripโ€™s expense.

#data science hackathon #hackathon #hackathon for data scientists #machine learning hackathon #ml hackathon #predicting workation price #workation price prediction challenge

Edna  Bernhard

Edna Bernhard

1596855420

Melanoma Tumor Size Prediction: Weekend Hackathon

MachineHack welcomes all Data Science and Machine Learning enthusiasts to another exciting weekend hackathon. This weekend, participants must use their data science skills to predict the melanoma tumor size based on a number of factors.

#featured #datascience hackathons #hackathon #machine learning hackathon #machine learning hackathons

Larry  Kessler

Larry Kessler

1617355640

Attend The Full Day Hands-On Workshop On Reinforcement Learning

The Association of Data Scientists (AdaSci), a global professional body of data science and ML practitioners, is holding a full-day workshop on building games using reinforcement learning on Saturday, February 20.

Artificial intelligence systems are outperforming humans at many tasks, starting from driving cars, recognising images and objects, generating voices to imitating art, predicting weather, playing chess etc. AlphaGo, DOTA2, StarCraft II etc are a study in reinforcement learning.

Reinforcement learning enables the agent to learn and perform a task under uncertainty in a complex environment. The machine learning paradigm is currently applied to various fields like robotics, pattern recognition, personalised medical treatment, drug discovery, speech recognition, and more.

With an increase in the exciting applications of reinforcement learning across the industries, the demand for RL experts has soared. Taking the cue, the Association of Data Scientists, in collaboration with Analytics India Magazine, is bringing an extensive workshop on reinforcement learning aimed at developers and machine learning practitioners.

#ai workshops #deep reinforcement learning workshop #future of deep reinforcement learning #reinforcement learning #workshop on a saturday #workshop on deep reinforcement learning

Juanita  Apio

Juanita Apio

1623180540

SQL vs NoSQL and SQL to NoSQL Migration

Overview

Given the choice of a Relational Database (RDBMS) vs a NoSQL database, it has become more important to select the right type of database for storing data. Not all the requirements fit in a NoSQL database or an RDBMS. RDBMSs are mainly related to managing, storing, and manipulating structured data where the data format, columns, data type, attributes, and schema are fixed, and the relationship between entities needs to be consistently maintained.

SQL is a common query language used when dealing with an RDBMS. Using an RDBMS is a choice for storing transactional data or records where the ACID (Atomicity, Consistency, Isolation, Durability) proprieties of transactions must be provided by an underlying database. An RDBMS is also a choice where the security and accessibility of data are of utmost importance. Typical use cases are financial records, financial transactions, OLTP, ERP, CRM systems, e-commerce applications, etc.

NoSQL (sometimes referred to as Not only SQL, non-SQL or non-relational) is a database that is suitable for managing data that is non-relational, i.e. not structured in tabular format or have fixed data type formats and variables that do not possess tabular relationships. There are various types of NoSQL databases that exist, like key-value, document-based, column-based, and graph-based. When it comes to scalability and performance of unstructured data, NoSQL is the obvious choice.

In a recent development, a few graph databases provide the options to store transactions adhering to ACID properties, but they are still in the early phases of adoption. Typical uses cases of NoSQL include data that is largely unstructured and needs flexibility in data models like content management, personalization, web search engines, storing large users profiles from heterogeneous sources, data streams, documents, digital communication (Storing messages, chats), big data, analytics, machine learning, and storing IoT data.

It becomes imperative to choose the right type of database, and, if required, migrate the exiting RDBMS database to NoSQL to meet the new dynamics of business requirements, scalability, and performance aspects. The below section will help in deciding the right database for your requirement.

1. Database Decision Tree

2. Migration From RDBMS Data Sources to NoSQL DBs

If there are existing RDBMS databases that are storing content, documents, files, or have unstructured data, then there are significant advantages in moving such databases to NoSQL databases. Benefits include cost benefits, performance, scalability, future proof for changes, reducing conversion jobs, and extensive supportability for analytics.

2.1 Migration Tools From Traditional RDBMS DB to AWS DynamoDB

AWS Database Migration Service (AWS DMS) can migrate data from most widely-used commercial RDBMSs and open-source databases to similar databases (homogeneous) or different database platforms (heterogeneous) including transforming RDBMS to DynamoDB or Cassandra to DynamoDB or MongoDB to DynamoDB databases.

2.2 Migration Tools for RDBMS DB to Azure Cosmos DB

The Azure Cosmos DB emulator and the Azure Cosmos DB Data Migration tool can be used to migrate from an MSSQL database to Cosmos DB. This tool can also help to migrate if the source data is in CSV or JSON object formats.

Azure Database Migration Service (DMS), Cosmos DB, and the API for MongoDB can be used to migrate MongoDB to CosmosDB.

2.3 Migration From SQL to Google DataStore

Google has NoSQL services, Cloud Datastore, and Bigtable. Cloud Datastore is now being enhanced to recently released service called Firestore.

There are not many tools and documentation support from Google on migration to Firestore or Bigtable from RDBMS databases or different NoSQL platforms. Cloud SQL, a managed RDBMS from Google, has built-in features to migrate some of traditional RDBMS to CloudSQL. Cloud Spanner is another managed RDBMS. Migrations involve mainly manual processes.

#nosql #aws #azure #sql #nosql