Traditional ETL vs ELT on Hadoop

ETL ETL stands for Extract, Transform and Load. The ETL process typically extracts data from the source / transactional systems, transforms it to fit the model of data warehouse and finally loads it to the data warehouse. The transformation process involves cleansing, enriching, and applying transformations to create the desired output. Data is usually dumped … Read more

Empower your Data and Ensure Continuity of Operations with Hadoop Administration

Planning A Hadoop administration team’s responsibilities starts when a company kick-starts with the Hadoop POC. An experienced team like Bitwise comes up with a roadmap right at the beginning to help scale from POC to production with minimal wastage of initial investment and effective guidance on investment decisions, be it in-house infrastructure, POC or to … Read more

Language for Business Made Easy with Ab Initio Express> IT

Ab Initio Express>IT Architecture To leverage the benefits of Express>IT, first let’s understand the architecture and the components of this product with the help of an example. IT Flow”> Rule Generator Utility A business user creates a text/excel file with the rules that he has to implement. After analysis of the text file by the … Read more

Unlock the Best Value Out of Your Big Data Hadoop

Planning A Hadoop administration team’s responsibilities starts when a company kick-starts with the Hadoop POC. An experienced team like Bitwise comes up with a roadmap right at the beginning to help scale from POC to production with minimal wastage of initial investment and effective guidance on investment decisions, be it in-house infrastructure, POC or to … Read more

Reduce Data Latency and Refine Processes with Hadoop Data Ingestion

Hadoop data ingestion has challenges like There could be different source types like OLTP systems generating events, batch systems generating files, RDBMS systems, web based APIs, and more Data may be available in different formats like ASCII text, EBCDIC and COMPs from Mainframes, JSON and AVRO Data is often required to be transformed before persisting … Read more

Understanding the Hadoop Adoption Roadmap

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Stage 1: Understanding and Identifying Business Cases As with every technology switch, the first stage is often understanding the new technology and tool stack as well as propagating the benefits that the end user and the organization sees. At this stage looking at your current system with a close eye helps to identify the business … Read more

Crossing Over Big Data’s Trough of Disillusionment

Defining this Trough of Disillusionment Enterprises are feeling the pressure that they should be doing “something” with Big Data. There are a few organizations that have figured it out and are creating breakthrough insights. However, there’s a much larger set that has maybe reached the stage of installing say 10 Hadoop nodes and are wondering … Read more

Why Do ETL Tools Still Have a HeartBeat

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ETL is a well-known and effective technique for integrating data. ETL tools have been available for a while, and data integration projects frequently employ them. Over time, they have improved and developed to include cutting-edge capabilities like automation, scheduling, and error handling. ETL tools are now a well-established and dependable way of data integration as … Read more