Good corporate training and development program should always be dynamic and open to change to meet the needs of the employees and new recruits. Here are the useful tips to build your online corporate training Strategy. Read blog more!
Useful Tips To Build Your Online Corporate Training Strategy
Welcome to my Blog , In this article, you are going to learn the top 10 python tips and tricks.
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Extract, Transform, and Load (ETL) processes have become a necessity in IT today. Being able to move data from one place to another has become a cornerstone in just about every company worldwide. SQL Server provides Integration Services (SSIS) that allow database administrators (DBAs) and Developers alike to create and deploy advanced ETL packages to leverage the data within their organizations.
Introduction on ETL
The data in a Data Warehouse system is loaded with an ETL (Extract, Transform, Load) tool.
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As the name suggests, it performs the following three operations,
Let us assume there is a manufacturing company having multiple departments such as sales, HR, Material Management, EWM, etc. All these departments have separate databases which they use to maintain information w.r.t. their work and each database has a different technology, landscape, table names, columns, etc. Now, if the company wants to analyze historical data and generate reports, all the data from these data sources should be extracted and loaded into a Data Warehouse to save it for analytical work.
An ETL tool extracts the data from all these heterogeneous data sources, transforms the data (like applying calculations, joining fields, keys, removing incorrect data fields, etc.), and loads it into a Data Warehouse. Later, you can use various Business Intelligence (BI) tools to generate meaningful reports, dashboards, and visualizations using this data.
Let us now discuss in a little more detail the key steps involved in an ETL procedure −
Extracting the Data
It involves extracting the data from different heterogeneous data sources. Data extraction from a transactional system varies as per the requirement and the ETL tool in use. It is normally done by running scheduled jobs in off-business hours like running jobs at night or over the weekend.
Transforming the Data
It involves transforming the data into a suitable format that can be easily loaded into a DW system. Data transformation involves applying calculations, joins, and defining primary and foreign keys on the data. For example, if you want % of total revenue which is not in database, you will apply % formula in transformation and load the data. Similarly, if you have the first name and the last name of users in different columns, then you can apply a concatenate operation before loading the data. Some data doesn’t require any transformation; such data is known as direct move or pass through data.Learn more from informatica online course
Data transformation also involves data correction and cleansing of data, removing incorrect data, incomplete data formation, and fixing data errors. It also includes data integrity and formatting incompatible data before loading it into a DW system.
Loading the Data into a DW System
It involves loading the data into a DW system for analytical reporting and information. The target system can be a simple delimited flat file or a data warehouse.
ETL Tool Function
A typical ETL tool-based data warehouse uses staging area, data integration, and access layers to perform its functions. It’s normally a 3-layer architecture.
The staging layer or staging database is used to store the data extracted from different source data systems.
Data Integration Layer:
The integration layer transforms the data from the staging layer and moves the data to a database, where the data is arranged into hierarchical groups, often called dimensions, and into facts and aggregate facts. The combination of facts and dimensions tables in a DW system is called a schema.
The access layer is used by end-users to retrieve the data for analytical reporting and information.
DTS ( Data Transformation Services):
In SQL Server versions 6.5 and earlier, Database administrators (DBAs) used SQL Server Transfer Manager and Bulk Copy Program, included with SQL Server, to transfer data. These tools had significant shortcomings, and many DBAs used third-party tools. When SQL Server 7 was released, “Data Transformation Services” was packaged with it to replace all these tools.
SQL Server 2000 expanded DTS functionality in several ways. Many new types of tasks were made, including the ability to FTP files, move databases or database components, and add messages into Microsoft Message Queue (MSMQ).
SSIS (SQL server Integration Services):
One disadvantage of DTS was that, for development of package, one must be connected to SQL Server. This is overcome in SSIS.
SSIS is replacement of DTS in SQL Server 2005. SSIS introduced “Business Intelligence (BI) tool“, which is development IDE and installed automatically by SQL Server 2005 in Visual Studio 2005. Thus BI tool gives the advantage of Visual Studio development tools for DTS.
Advantages of SSIS over DTS:
SSIS gives you many new ways to control the flow of your package that could only be done before by writing code. One of the coolest control features is the ability to set up looping within the pa
ckage. Two tasks, the For Loop Container and Foreach Loop Container, are available for this purpose.
I hope you reach a conclusion about Data Warehousing Informatica. You can learn more about Informatica from online Informatica training
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ETL as if it’s one monolithic thing. Actually, ETL jobs vary considerably and involve numerous enabling technologies. In the context of Hadoop, two broad categories of ETL workloads are relevant: those that require substantial relational technologies and those that don’t.
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At one extreme, many ETL jobs join three or more tables, execute complex SQL routines of hundreds of lines, create temporary tables, or involve multi-pass SQL. These relational ETL jobs are often developed and executed with a mature ETL tool, and the tool may push relational processing into a relational database management system (DBMS). This is usually called “ETL push down” or “ELT.” In these cases, the T (i.e., data transformation) occurs in a relational database or similar data platform instead of on the ETL tool hub.
For heavily relational jobs, Hadoop is an unlikely candidate because ANSI standard SQL and other complex relational technologies are not fully supported on Hadoop today. Even so, Hadoop is improving rapidly, and third-party tools are emerging to provide a relational front-end for Hadoop, so it’s probable that Hadoop’s relational capabilities will soon be more compelling for heavily relational and SQL-based processing.
At the other extreme, some ETL jobs simply need basic relational capabilities (as seen in an HBase row store or a Hive table) or no relational capabilities at all (as is typical of the algorithmic approach of most hand-coded MapReduce jobs). For example, some early adaptors of Hadoop have migrated operational data stores to Hadoop, which manage customer masters, archives of transactions, or industry specific data (such as call detail records in telco or supply chain documents in retail and manufacturing).
ETL jobs that make simple aggregations, summations, and calculated values (but at massive scale against millions of records) are well-suited to the Hadoop environment, and these jobs can be developed for a fraction of the cost of a high-end ETL tool – if you have the appropriate in-house programming skills. Let’s not forget that Hadoop originated in Internet firms, where it did simple but massive summations of clicks, page views, and ecommerce transactions. For workloads resembling those, Hadoop continues to be a compelling and cost-effective platform
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Let me talk about Power Center vs Cloud (IICS), as rest of your future architecture is same except these two technologies. Each of these technologies have their own pros and cons
You may have already know most of the capability which PowerCenter offers, one of the main reason to consider moving to PowerCenter is maintenance, you should have a dedicated Administrators to install the product and do the maintenance work on a daily basis., you should use your own infrastructure , database software’s , file storage etc. And you should also plan for upgrades whenever Informatica announces end of life for a certain version.
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Depending on your environment, you may have jobs which process data form Real time loads, Mainframe CDC jobs , Web services , unstructured data processing, flat files and Relational tables, which may slow your environment and some times even after spending months and months with Informatica support you may not get any resolution for the slowness, you need to then plan your scheduling based on the Jobs which use high CPU I/O and during off peaks hours etc.
You also need to procure license based on the edition, irrespective of whether you use a certain feature
You can also enable versioning, to revert to the previous versions in case of any issues during deployment
The major thing to consider when considering cloud is you will get rid of daily maintenance, server patches, upgrades etc. But the real story starts now, there is lot of limitation in terms of development example
• You can’t use any tables in SQL transformation
• You can’t use Lookup transformation if the column name has space
• When connecting ports in web service consumer, if you need to pass a default value to 10 columns, you need to create 10 columns with same default ports and then only connect to 10 ports
• You can’t run your jobs on the cloud, if your web service requests exceed a certain threshold (less than 1 MB, I have to check on the exact number)
• If you change the port name which is used in a variable or transformation, the whole mapping will be invalidated.Learn more from Informatica training
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Blockchain is changing the mindset of businesses and governments as we know it. Blockchain has been identified as the next big thing since the internet. It is producing innovative models that are disrupting traditional ones.
The momentum created from this latest technology shows no sign of slowing down. Businesses are aspiring for ways to reach out to the mechanics of this evolving science.
To get in depth knowledge on Blockchain, enrich your skills on Blockchain online training professionals.
Blockchain is more than crypto
Since the two are almost always mentioned together, many people do not realize that cryptocurrency is just one application of blockchain. Predominantly, it facilitates transactions without the involvement of banks.
It seems that crypto may soon become an acceptable mode for international payments. This will give businesses access to an increasingly global supply chain.
However, there are plenty of other real-world applications of this game-changing technology. Blockchain has a solid future. The underlying technology already exhibits a great deal of potential, with numerous use cases across various industries.
Examples of how blockchain is changing the world we live in
Here are a few fantastic examples of blockchain at work. The sheer number of applications of the technology makes it next to impossible to list all. This is only the tip of the iceberg. But once you finish reading this blog, you will get a gist of the potential -and power- of what blockchain technology has to offer.
1. International money transfers
This is what cryptocurrency has been successfully doing all along. As people move away from traditional transfer options and onto the blockchain, they can acquire multiple benefits.
Without a central authority, individuals can transfer funds anywhere in the world, at any time, more quickly, and with lower transaction fees. And because transactions are completed faster for a fraction of the cost, it is a more favorable choice.
2. Paying parking fines
Though New York City was the first to propose this idea back in 2014, there has been no follow-up action as of yet. But just recently, South Africa mentioned the same idea. The implication is that governments are considering the use of blockchain for various applications.
3. Government level tasks
While we are on the subject of governments, why not mention those countries that are making headway in adopting blockchain technology.
In 2016, representatives of 30 government departments in Dubai investigated the possibility of becoming the world’s first blockchain-powered state.
Estonia, on the other hand, is collaborating with Ericsson. They aim to move public records onto the blockchain.
Let’s not forget Samsung’s efforts to help the South Korean government with the technology. They are using it for public safety and transport applications. Learn more from blockchain onine course
4. Charging electric cars
As electric cars are a relatively new concept, it will take time for other technological advancements to attach themselves to it. But a German utility company, RWE, is setting the record straight. They have taken a bold step to incorporate blockchain into their options. Now, this technology is backing their charging stations.
5. Car dealers
EV charging facilities are not the only blockchain use case to enter the automotive market. The Mobi initiative is carrying various companies towards the blockchain faster than you think.
Autocoincar is a platform for car dealers. It aims at facilitating the buying and selling of vehicles with the use of crypto all over the world. Though the company supports transactions through fiat currencies such as the US dollar, British pound, Euro, and UAE dirham, it also encourages people to buy a car for sale with bitcoin cash (BCH).
Like many other startups, autocoincars has introduced its cryptocurrency, the Autocoin. The technology backing it is likely to bring the digital currency into the mainstream. It’ll be available for making payments in real-time or for holding onto as reserve assets. Moreover, car dealers can now offer their stock of crypto to buyers and investors alike.
But the most significant advantage lies in the fact that the crypto car sales industry overcomes the exchange rate barrier. That is why there is so much potential for growth.
6. Smart contracts
This is precisely what it sounds- contracts that are much smarter than regular ones. Because smart contracts are developed on the blockchain, there are no intermediaries. And they don’t require a third-party to monitor and legalize them.
Smart contracts are gaining a great deal of traction, especially in the insurance sector. Companies such as Guardtime and Etherisc have already established a foothold. Industries are switching to them as they reduce the dependency on standard legal contracts. Moreover, blockchain has the ability to create trust in a trustless ecosystem with the use of public ledgers. That way, smart contracts can track claims and hold both parties accountable.
7. Copyright and royalty protection
With the explosion of online content, copyright and ownership issues are common concerns. Blockchain is promoting these laws in the digital space. All information is chronologically timestamped, ensuring a clear recording of events. So now, your music, videos, blogs, or any other content is secure.
Furthermore, since downloads can be monitored, artists and content creators can warrant their fair share of the money. Information such as royalty distribution will be available in real-time.
The healthcare system is bogged down by multiple inefficiencies. Primarily, they stem from the use of numerous forms, human error, and poor communication between doctors, lab technicians, patients, etc.
Blockchain can automate processes and save countless hours of paperwork. As forms and data are safely stored on the chain, it reduces the probability of human error.
Examples of blockchain already in use in the healthcare system include:
Health Nexus- provides decentralized blockchain patient records
ConnectingCare- tracks the progress of patients after they leave the hospital
MedRec – an electronic medical records system on blockchain designed to manage authentication, confidentiality, and data sharing
9. Digital voting
Voter fraud is a growing concern in developing as well as developed countries. With increasing criticism on the matter, there is a greater need to switch to the blockchain.
The technology touts a high level of transparency as well as information security. With these essential features, voter fraud can be completely eradicated. Any irregularities and attempts at distorting data can be highlighted in real-time. This can bolster a trusted, fair system that promotes success.
Blockchain is well-known for its ability to safeguard sensitive information. Industries rely heavily on protecting their data, especially with current trends circulating KYC (Know Your Customer) processes.
Remember that blockchain’s ledgers are decentralized. Additionally, blockchain data is encrypted. Information from one block is linked to another. That means that it can’t be corrupted or manipulated by one authority. Any unusual behavior will be instantly detected.
And data is entirely transparent to members (nodes) on a chain. While everyone can view the actions of other individuals, the true identity can remain hidden.
Blockchain technology is an innovation that is being embraced by many industries. As we travel through the digital era, the functionalities of various technological developments will become more apparent.
Blockchain is offering a wide array of excellent solutions. But it is essential to understand that it cannot be the solution to every problem. Unique applications can satisfy issues that different businesses are facing.
What is currently being observed is the eagerness with which the IT sector is leveraging Blockchain-as-a-Service (BaaS). Major market trendsetters, such as Microsoft, Amazon, and IBM, have already started investing in it.
IT companies are aiming to create a whole new selection of services. Combining BaaS with cloud service, IoT, AI, etc. can open a vast number of solutions. Only time will tell how we will fare in this unexplored territory.
I hope you reach blockchain technology. You can learn more from Blockchain online training Hyderabad.
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