Remove 2015 Remove Optimization Remove Testing
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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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Towards optimal experimentation in online systems

The Unofficial Google Data Science Blog

If the relationship of $X$ to $Y$ can be approximated as quadratic (or any polynomial), the objective and constraints as linear in $Y$, then there is a way to express the optimization as a quadratically constrained quadratic program (QCQP). However, joint optimization is possible by increasing both $x_1$ and $x_2$ at the same time.

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How HPE Aruba Supply Chain optimized cost and performance by migrating to an AWS modern data architecture

AWS Big Data

Hewlett-Packard acquired Aruba Networks in 2015, making it a wireless networking subsidiary with a wide range of next-generation network access solutions. The new solution has helped Aruba integrate data from multiple sources, along with optimizing their cost, performance, and scalability.

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Greenwashing Is About to Be Illegal — Is Your Company Ready?

Timo Elliott

Real-World Examples of Greenwashing Some of the most notorious greenwashing scandals illustrate both deliberate deception and regulatory gray areas: Volkswagen’s Dieselgate: The automaker was fined over $25 billion in 2015 for equipping vehicles with devices that manipulated emissions tests. How Can SAP Help?

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How Amazon Devices scaled and optimized real-time demand and supply forecasts using serverless analytics

AWS Big Data

To further optimize and improve the developer velocity for our data consumers, we added Amazon DynamoDB as a metadata store for different data sources landing in the data lake. S3 bucket as landing zone We used an S3 bucket as the immediate landing zone of the extracted data, which is further processed and optimized.

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Safely remove Kafka brokers from Amazon MSK provisioned clusters

AWS Big Data

Administrators can optimize the costs of their Amazon MSK clusters by reducing broker count and adapting the cluster capacity to the changes in the streaming data demand, without affecting their clusters’ performance, availability, or data durability. Start taking advantage of the broker removal feature in Amazon MSK today.

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Gartner D&A Summit Bake-Offs Explored Flooding Impact And Reasons for Optimism!

Rita Sallam

Are there mitigation strategies that show reasons for optimism? Are there mitigation strategies that can be implemented successfully that could provide policy guidance and reasons for optimism in the face of ever increasing frequency of extreme weather events? Here is the link to Tellius’s Show Floor Showdown video.