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Showing posts with the label data

Big Data as Business enabler

We know that information and technology is becoming essential to success and that companies have an opportunity to collect more data than ever before, but... How can that information be used? Is this just another buzzword or does big data really adds value? Technology is becoming more essential to business success. It is clear your strategy needs to include the technology that supports your business and its customers, as well as how you manage data and people. If a company doesn't have these elements in place, it can struggle to compete in an increasingly competitive market. Data management strategies are becoming increasingly important as companies need more information from their customers. Businesses are sitting on a gold mine of potential data. Big data is an exciting business enabler. Companies are sitting on a gold mine of potential data. This treasure trove can be used to improve business in many ways: you can predict future outcomes, improve operational efficiency, customer...

What is the future of ETL?

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ETL stands for Extract Transform and Load data in order to structure information in a way which is suitable for analytical purposes vs transactional database design. Potentially, combining multiple sources in a single target enabling cross data analysis. It has been a crucial part of analytics projects over the last 40 years - or even more, with the raise of Data Warehouses back on the 80's. 1. Why ETL or ELT are needed? The purpose of an ETL or ELT pipeline is to prepare data for analytics. To provide valuable insights, source data from various systems (CRMs, ERPs, social media platforms, external DB, etc.) needs to be moved and consolidated in a destination database. Heavy calculations or data modifications also take place during this process to streamline and facilitate data extraction. 2. What is ETL? The key defining feature of an ETL approach is that data is typically processed in-memory rather than in-database. An ETL pipeline is helpful for: Centralizing and standardizing d...