Built upon cost-efficient cloud object stores such as Amazon S3, cloud data lakes benefit from an open and loosely-coupled architecture that minimizes the risk of vendor lock-in as well as the risk of ...
One of the challenges we face is not being able to easily explore data before ingestion into our data lake,” said John Maio, Director, Data & Analytics Platforms Architecture, bp. “AWS Glue DataBrew ...
AWS vice president of technology (data and analytics) Mai-Lan Tomson Bukovec spoke to the Computer Weekly Developer Network ...
SANTA CLARA, Calif., Dec. 11, 2018 — Accelerite today announced ShareInsights 3.0, featuring new capabilities that significantly reduce complexity and costs associated with extracting insights from ...
Data lakes stink. That's because lots of them turn to data swamps, and swamps stink. What's the difference between a data lake and a data swamp? A data lake is built on top of cost efficient ...
The data lake has become accepted as an important component of a modern data architecture, enabling a wider variety of data to be accessed by users. Yet, challenges persist. Recently, John O’Brien, ...
WALTHAM, Mass., Nov. 02, 2020 (GLOBE NEWSWIRE) -- Cazena today announced the launch of the Instant AWS Data Lake. Production-ready in just minutes, the Instant AWS Data Lake is the fastest and most ...
SEATTLE--(BUSINESS WIRE)--Today at AWS re:Invent, Amazon Web Services Inc. (AWS), an Amazon.com company (NASDAQ: AMZN), announced three new services that provide automation and prescriptive guidance ...
In today’s fast-changing data landscape, having a strong data system and advanced analytical tools is key to getting valuable insights and staying ahead of the competition. The data lakehouse ...
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