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The Very Group adopts a data catalog to better organize and leverage its online retail capabilities

CIO Business Intelligence

It launched its first online-only brand, Very, in 2009 and finally abandoned its printed catalogs to go all-in online in 2015. He found a rich collection of data assets, including information on over 2.2 As a result, Pimblett now runs the organization’s data warehouse, analytics, and business intelligence.

IT 87
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Three Trends for Modernizing Analytics and Data Warehousing in 2019

Cloudera

Data analytics priorities have shifted this year. Growth factors and business priority are ever changing. Don’t blink or you might miss what leading organizations are doing to modernize their analytic and data warehousing environments. Big Data Technologies and Architectures.

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Extend your data mesh with Amazon Athena and federated views

AWS Big Data

Recently, Athena added support for creating and querying views on federated data sources to bring greater flexibility and ease of use to use cases such as interactive analysis and business intelligence reporting. Big Data Architect on Amazon Athena. Let’s dive into the solution. Pathik Shah is a Sr.

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UAB IT helps fuel genomic breakthroughs

CIO Business Intelligence

took over as CIO at University of Alabama-Birmingham in 2015, he confronted a “computer science museum,” as he calls it — instances of every operating system, storage device, and application on the market for the past 30 years. Next up: AI and data lake decisions. When Dr. Curtis Carver, Ph.D.,

IT 87
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How The Cloud Made ‘Data-Driven Culture’ Possible | Part 1

BizAcuity

Microsoft also releases Power BI, a data visualization and business intelligence tool. 2015: Google announces Google Kubernetes Engine for the cloud. Google launches BigQuery, its own data warehousing tool and Microsoft introduces Azure SQL Data Warehouse and Azure Data Lake Store.

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Why Game Studios Should Exploit Visual Analytics | BizAcuity

BizAcuity

However, many Game Studios struggle with implementing analytics tools and solutions for their business for two main reasons-. Inability to get player level data from the operators. A typical data warehouse takes around 6 months to be built and requires a skilled IT team to ensure smooth ETL and workflow performance.

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Turning Streams Into Data Products

Cloudera

In 2015, Cloudera became one of the first vendors to provide enterprise support for Apache Kafka, which marked the genesis of the Cloudera Stream Processing (CSP) offering. CSP was recently recognized as a leader in the 2022 GigaOm Radar for Streaming Data Platforms report. Without context, streaming data is useless.”