Extract, Transform, and LoadBig Data with Apache Hadoop

Provided by: International forum of researchers Students and Academician
Topic: Data Management
Format: PDF
Over the last few years, organizations across public and private sectors have made a strategic decision to turn big data into competitive advantage. The challenge of extracting value from big data is similar in many ways to the age-old problem of distilling business intelligence from transactional data. At the heart of this challenge is the process used to extract data from multiple sources, transform it to fit the users analytical needs, and load it into a data warehouse for subsequent analysis, a process known as "Extract, Transform and Load" (ETL).

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