ETL
What’s the Difference Between Batch ETL and Streaming ETL?
Batch ETL used to be the mainstay of ETL processes, but in recent years more and more businesses are converting to streaming ETL frameworks. Today, let’s clarify what batch ETL and streaming ETL are, the benefits and uses of each, and where ETL is headed in the future.
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5 Must-Do Tasks to Prepare for Data Warehouse Migration
Businesses migrate their data warehouses for many reasons. Some are looking for improved performance around data loading, complex queries, and ELT. Others are focused on minimizing the cost of storage, reporting, and batch ELT processing. Sometimes it’s a combination of both these motivators, plus the need to reduce admin tasks and boost automation. Whatever the reasons may be, data warehouse migration can meet your desired goals when done correctly.
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What is ETL and What can it do?
What exactly is meant by “Extract, Transform, Load”? How do each of these stages contribute to a seamless integration project? Here’s a quick breakdown.
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ETL Data Integration: What to Look for
Extract, Transform, Load (ETL) has many practical uses, chief among them are its capabilities for data integration. Although data integration is one of the most common ways businesses choose to use ETL, ETL also has uses in loading data warehouses, augmenting data for profiling, and data migration. So, why do ETL procedures have a hand in so many types of data processes? Why is ETL beneficial for integration? What should a business be looking for in an ETL data integration tool?
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Python & ETL: A Great Match
Python supports a wide range of major platforms and systems (just like StarfishETL) so users can work in the operating system they prefer. Its open source framework and tools let the user optimize to his or her precise needs and cuts down on development time.
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