Remove 2005 Remove Analytics Remove Unstructured Data
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Use Apache Iceberg in a data lake to support incremental data processing

AWS Big Data

Apache Iceberg is an open table format for very large analytic datasets, which captures metadata information on the state of datasets as they evolve and change over time. Iceberg has become very popular for its support for ACID transactions in data lakes and features like schema and partition evolution, time travel, and rollback.

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Generative AI’s most noble mission: Improving and saving lives

CIO Business Intelligence

How generative AI and AI can help Improving patient treatments: As a leader in precision medicine, the Translation Genomics Research Institute, or TGen, has seen the power of high-performance computing, fast processing, analytics, and AI bring next-level speed and capabilities in fighting disease. View the TGen customer case study.

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Edmunds sets stage for AI with data infrastructure consolidation

CIO Business Intelligence

Rokita has been with Edmunds for more than 18 years, starting as executive director of technology in 2005. His role now encompasses responsibility for data engineering, analytics development, and the vehicle inventory and statistics & pricing teams. The company was purchased by Carmax in 2021 for $404 million.

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Modernize Using The BI & Analytics Magic Quadrant

Rita Sallam

Or when Tableau and Qlik’s serious entry into the market circa 2004-2005 set in motion a seismic market shift from IT to the business user creating the wave of what was to become the modern BI disruption. Gartner revamped the BI and Analytics Magic Quadrant in 2016 to reflect the mainstreaming of this market disruption.

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How The Cloud Made ‘Data-Driven Culture’ Possible | Part 1

BizAcuity

2005: Microsoft passes internal memo to find solutions that could let users access their services through the internet. Businesses find the need to manage unstructured data efficiently as a major business problem. Data lakes or data lake houses alone cannot solve the efficiency problem. To be continued.

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Bridging the Gap Between Analytics Expectations and Reality

Sisense

Newly published research shows that companies aren’t getting the most out of their analytics. Companies surveyed by Harvard Business Review Analytic Services (HBR) report that two of the most important strategic benefits of using data analytics are (1) identifying new revenue and business models and (2) becoming more innovative.