2022 Data Lake Marketing Metadata 
AWS Big Data
APRIL 3, 2024
licensed, 100% open-source data table format that helps simplify data processing on large datasets stored in data lakes. Data engineers use Apache Iceberg because it’s fast, efficient, and reliable at any scale and keeps records of how datasets change over time.
Cloudera
SEPTEMBER 15, 2022
July brings summer vacations, holiday gatherings, and for the first time in two years, the return of the Massachusetts Institute of Technology (MIT) Chief Data Officer symposium as an in-person event. A key area of focus for the symposium this year was the design and deployment of modern data platforms.
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CIO Business Intelligence
SEPTEMBER 6, 2022
Very has come full circle as a business built on catalog data, but it took some introspection in order to figure out the best way to get there. Understanding what data you’ve got locked in all these different stores is a big part of the jigsaw puzzle.”. We’ve done it in our financial services area, and some of our marketing area.
Alation
NOVEMBER 28, 2022
introduces Alation Connected Sheets, a new product under Alation Cloud Service that empowers spreadsheet users with access to trusted data. Talo Thomson, head of content marketing, Alation: Krishna, Sathish: Thanks for agreeing to speak with me today. And it’s very difficult to manage these silos of data analysis.
AWS Big Data
JUNE 9, 2023
A modern data architecture enables companies to ingest virtually any type of data through automated pipelines into a data lake, which provides highly durable and cost-effective object storage at petabyte or exabyte scale.
AWS Big Data
JULY 3, 2023
Major market indexes, such as S&P 500, are subject to periodic inclusions and exclusions for reasons beyond the scope of this post (for an example, refer to CoStar Group, Invitation Homes Set to Join S&P 500; Others to Join S&P 100, S&P MidCap 400, and S&P SmallCap 600 ).
AWS Big Data
JULY 21, 2023
Data-driven organizations treat data as an asset and use it across different lines of business (LOBs) to drive timely insights and better business decisions. This leads to having data across many instances of data warehouses and data lakes using a modern data architecture in separate AWS accounts.
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