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Data Intelligence in the Next Normal; Why, Who and When?

erwin

As the economy slowed, they focused on cost optimization. When the pandemic first hit, there was some negative impact on big data and analytics spending. Digital transformation was accelerated, and budgets for spending on big data and analytics increased. However, the economic situation changed as time went on.

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Minimizing Supply Chain Disruptions with Advanced Analytics

Cloudera

Advanced analytics and enterprise data empower companies to not only have a completely transparent view of movement of materials and products within their line of sight, but also leverage data from their suppliers to have a holistic view 2-3 tiers deep in the supply chain. Digital Transformation is not without Risk.

Analytics 109
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Amazon Redshift announcements at AWS re:Invent 2023 to enable analytics on all your data

AWS Big Data

These announcements drive forward the AWS Zero-ETL vision to unify all your data, enabling you to better maximize the value of your data with comprehensive analytics and ML capabilities, and innovate faster with secure data collaboration within and across organizations.

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Process and analyze highly nested and large XML files using AWS Glue and Amazon Athena

AWS Big Data

By analyzing XML files, organizations can easily integrate data from different sources and ensure consistency across their systems, However, XML files contain semi-structured, highly nested data, making it difficult to access and analyze information, especially if the file is large and has complex, highly nested schema. Choose Create.

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How Ruparupa gained updated insights with an Amazon S3 data lake, AWS Glue, Apache Hudi, and Amazon QuickSight

AWS Big Data

The AWS Glue job can transform the raw data in Amazon S3 to Parquet format, which is optimized for analytic queries. The AWS Glue Data Catalog stores the metadata, and Amazon Athena (a serverless query engine) is used to query data in Amazon S3.

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The Future of the Data Lakehouse – Open

CIO Business Intelligence

It provided the concept of a database, schemas, and tables for describing the structure of a data lake in a way that let BI tools traverse the data efficiently. Choosing an open data lakehouse powered by Apache Iceberg gives companies the freedom of choice for analytics. Cloud Management

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The Future of the Data Lakehouse – Open

Cloudera

It provided the concept of a database, schemas, and tables for describing the structure of a data lake in a way that let BI tools traverse the data efficiently. Choosing an open data lakehouse powered by Apache Iceberg gives companies the freedom of choice for analytics.