Searched for: "extraction transformation and loading"
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About 126 results for "extraction transformation and loading"
Big data technologies are becoming a current talk and a new "Buzz-word" both in science and in industry. Today data have grown from terabytes to petabytes and now it is in zeta byt...
Data integration is the process of transferring the data in source format into the destination format. Many data warehousing and data management approaches has been supported by in...
Data quality is major concern area in a data warehouse environment. ETL tools focus on detection and correction of data quality problems that affect the success of a data warehouse...
Cognitive computing analyzes how the brain works and approximates human intelligence. Find out how businesses might benefit from this new frontier in data analytics.
In this paper, the authors analyze the problem of data cleaning and automatically identifying the "Incorrect and inconsistent data" in the dataset. Extraction, Transformation and L...
Dealing with the variety of data and data sources is becoming a greater concern for enterprises. Here are ways to attack the data variety issue.
Storage giant EMC made a flurry of announcements this week. Here are its expectations for what businesses will do next in the world of storage.
In this paper, the authors present a novel agile approach to large scale design of enterprise data warehouses based on a data vault model. An original, simple and direct algorithm ...
Extract, Transform and Load (ETL) is a process that makes it possible to extract data from operational data sources, to transform data in the way needed for data warehousing purpos...
Customer insights with big data come from multiple sources, and analysts need quick, direct access to data, according to BitYota's Dev Patel in a Q&A with TechRepublic.