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Optimizing the Energy Sector with Data Analytics

Cloudera

Effective use of data can have a direct impact on the cash flow of wind and solar generation companies in areas such as real-time decision making. With the right insights, energy production from renewable assets can be optimized and better predict the future of supply and demand. Towards a better customer experience.

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Announcing the AWS Well-Architected Data Analytics Lens

AWS Big Data

We are delighted to announce the release of the Data Analytics Lens. Using the Lens in the Tool’s Lens Catalog, you can directly assess your Analytics workload in the console, and produce a set of actionable results for customized improvement plans recommended by the Tool. What’s new in the Data Analytics Lens?

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Bringing Financial Services Business Use Cases to Life: Leveraging Data Analytics, ML/AI, and Gen AI

Cloudera

Christian : TAI Solutions’ customers choose Cloudera due to its adaptability to specific reference cases, its open-source and market standard solutions, comprehensive suite of data services, and successful adoption in the cloud, offering continuity with on-premises solutions in terms of governance and interface.

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Speed up queries with the cost-based optimizer in Amazon Athena

AWS Big Data

Starting today, the Athena SQL engine uses a cost-based optimizer (CBO), a new feature that uses table and column statistics stored in the AWS Glue Data Catalog as part of the table’s metadata. Let’s discuss some of the cost-based optimization techniques that contributed to improved query performance.

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Reference guide to build inventory management and forecasting solutions on AWS

AWS Big Data

Accurately predicting demand for products allows businesses to optimize inventory levels, minimize stockouts, and reduce holding costs. In this post, we discuss how to streamline inventory management forecasting systems with AWS managed analytics, AI/ML, and database services. The following diagram illustrates a sample architecture.

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5 Ways Data Analytics Sets a New Standard for Revenue Marketing

Smart Data Collective

With the “big data” or insurmountable, high-volume amount of information, data analytics plays a crucial role in many business aspects, including revenue marketing. Data analytics refers to the systematic computational analysis of statistics or data. Make Smarter Decisions and Meet Your KPI.

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Data Analytics Helps Hedge Funds Improve Customer ROIs

Smart Data Collective

The usage, volume, and types of data have increased significantly. In fact, big data keeps gaining momentum. We mentioned that data analytics is vital to marketing , but it is affecting many other industries as well. Countless industry have been shaped by big data. And there is no sign of it slowing down.

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