Remove Data Lake Remove Data Warehouse Remove Metadata Remove Recreation/Entertainment
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Choosing an open table format for your transactional data lake on AWS

AWS Big Data

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.

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How gaming companies can use Amazon Redshift Serverless to build scalable analytical applications faster and easier

AWS Big Data

A data hub contains data at multiple levels of granularity and is often not integrated. It differs from a data lake by offering data that is pre-validated and standardized, allowing for simpler consumption by users. Data hubs and data lakes can coexist in an organization, complementing each other.

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Get Your Analytics Insights Instantly – Without Abandoning Central IT

Cloudera

While cloud-native, point-solution data warehouse services may serve your immediate business needs, there are dangers to the corporation as a whole when you do your own IT this way. Cloudera Data Warehouse (CDW) is here to save the day! CDW is an integrated data warehouse service within Cloudera Data Platform (CDP).

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Putting the Business Back Into Business Innovation

Timo Elliott

Most innovation platforms make you rip the data out of your existing applications and move it to some another environment—a data warehouse, or data lake, or data lake house or data cloud—before you can do any innovation.

Data Lake 105
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Top Opportunities for SAP Partners in 2023

Timo Elliott

Because of technology limitations, we have always had to start by ripping information from the business systems and moving it to a different platform—a data warehouse, data lake, data lakehouse, data cloud. You lose the roots: the business context, the metadata, the connections, the hierarchies and security.

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Four Topics That Should Be Top of Mind for SAP Partners

Timo Elliott

The next area is data. There’s a huge disruption around data. For a long time, we’ve always ripped data out of our core systems and put it into a data warehouse or a data lake or a data lake house or a data cloud. And then you have to recreate it all in this new area.

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What Is a Data Catalog?

Alation

Why do we need a data catalog? What does a data catalog do? These are all good questions and a logical place to start your data cataloging journey. Data catalogs have become the standard for metadata management in the age of big data and self-service analytics. Figure 1 – Data Catalog Metadata Subjects.