Remove 2017 Remove Data Lake Remove Unstructured Data
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The Increasing Importance of Open Table Formats

David Menninger's Analyst Perspectives

I previously wrote about the importance of open table formats to the evolution of data lakes into data lakehouses. The concept of the data lake was initially proposed as a single environment where data could be combined from multiple sources to be stored and processed to enable analysis by multiple users for multiple purposes.

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Navigating Data Entities, BYOD, and Data Lakes in Microsoft Dynamics

Jet Global

Consultants and developers familiar with the AX data model could query the database using any number of different tools, including a myriad of different report writers. Data Entities. There is an established body of practice around creating, managing, and accessing OLAP data (known as “cubes”). Data Lakes.

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Rocket Mortgage lays foundation for generative AI success

CIO Business Intelligence

Ramping up for model-agnostic AI Rocket is as much an engineering company as it is a mortgage lender, with more than 1,000 engineers and 600 data scientists working together to build most of Rocket’s code in-house — a major advantage to its innovation efforts.

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Forrester Does the Math on the ROI of the Alation Data Catalog

Alation

In The Forrester Wave: Machine Learning Data Catalogs, 36% to 38% of global data and analytics decision makers reported that their structured, semi-structured, and unstructured data each totaled 1,000 TB or more in 2017, up from only 10% to 14% in 2016.

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

BizAcuity

Google launches BigQuery, its own data warehousing tool and Microsoft introduces Azure SQL Data Warehouse and Azure Data Lake Store. 2017: AWS releases Translate and Transcribe, both AI tools. Businesses find the need to manage unstructured data efficiently as a major business problem.