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

AWS Big Data

In 2013, Amazon Web Services revolutionized the data warehousing industry by launching Amazon Redshift , the first fully-managed, petabyte-scale, enterprise-grade cloud data warehouse. Amazon Redshift made it simple and cost-effective to efficiently analyze large volumes of data using existing business intelligence tools.

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How OLAP and AI can enable better business

IBM Big Data Hub

Initially, they were designed for handling large volumes of multidimensional data, enabling businesses to perform complex analytical tasks, such as drill-down , roll-up and slice-and-dice. Early OLAP systems were separate, specialized databases with unique data storage structures and query languages.

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CFO Panel: Generating Value in a Post-Pandemic Market

Jet Global

But as market predictions become more consistent, giving CFOs some time to catch their breath, new priorities start to emerge. Earlier this year, insightsoftware sat down with a panel of four prominent CFOs to explore their successes amidst recent market turbulence. This requires access to data that’s real-time.

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What is a Data Pipeline?

Jet Global

A data pipeline is a series of processes that move raw data from one or more sources to one or more destinations, often transforming and processing the data along the way. Data pipelines support data science and business intelligence projects by providing data engineers with high-quality, consistent, and easily accessible data.

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Introducing watsonx: The future of AI for business

IBM Big Data Hub

A foundation model thus makes massive AI scalability possible, while amortizing the initial work of model building each time it is used, as the data requirements for fine tuning additional models are much lower. This results in both increased ROI and much faster time to market.

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How to rule your data world: The role of data governance

BI-Survey

With the growing interconnectedness of people, companies and devices, we are now accumulating increasing amounts of data from a growing variety of channels. New data (or combinations of data) enable innovative use cases and assist in optimizing internal processes.

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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.