Jet Global
SEPTEMBER 4, 2020
Now, instead of making a direct call to the underlying database to retrieve information, a report must query a so-called “data entity” instead. Each data entity provides an abstract representation of business objects within the database, such as, customers, general ledger accounts, or purchase orders. Data Lakes.
CIO Business Intelligence
DECEMBER 4, 2023
Although less complex than the “4 Vs” of big data (velocity, veracity, volume, and variety), orienting to the variety and volume of a challenging puzzle is similar to what CIOs face with information management. A modern ILM approach helps CIOs and their teams align processes to business objectives and regulatory requirements.
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IBM Big Data Hub
JANUARY 5, 2023
The first generation of data architectures represented by enterprise data warehouse and business intelligence platforms were characterized by thousands of ETL jobs, tables, and reports that only a small group of specialized data engineers understood, resulting in an under-realized positive impact on the business.
CIO Business Intelligence
JUNE 28, 2023
The R&D laboratories produced large volumes of unstructured data, which were stored in various formats, making it difficult to access and trace. “These stages significantly influence the iterative process of conceptualizing and rolling out a new product,” Gopalan says. This allowed us to derive insights more easily.”
Sisense
MAY 11, 2021
The reasons for this are simple: Before you can start analyzing data, huge datasets like data lakes must be modeled or transformed to be usable. According to a recent survey conducted by IDC , 43% of respondents were drawing intelligence from 10 to 30 data sources in 2020, with a jump to 64% in 2021!
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