Remove Cost-Benefit Remove Events Remove Optimization
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A Beginner’s Guide To Inventory Metrics And Best Practices

datapine

In our cutthroat digital economy, massive amounts of data are gathered, stored, analyzed, and optimized to deliver the best possible experience to customers and partners. At the same time, inventory metrics are needed to help managers and professionals in reaching established goals, optimizing processes, and increasing business value.

Metrics 286
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Can Data Analytics Help with Choosing Reliable Event Organizers?

Smart Data Collective

Many business owners have discovered the wonders of using big data for a variety of common purposes, such as identifying ways to cut costs, improve their SEO strategies with data-driven methodologies and even optimize their human resources models. This can make a big difference in the quality of your professional events.

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An AI Data Platform for All Seasons

Rocket-Powered Data Science

Optimizing GenAI Apps with RAG—Pure Storage + NVIDIA for the Win! Second question: What about technical debt and the cost of “lift and shift” to these new AI-ready architectures? In particular, in the past year, generative AI has played a major role in the explosive development and growth of these transformations within enterprises.

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Amazon OpenSearch Service Under the Hood : OpenSearch Optimized Instances(OR1)

AWS Big Data

Amazon OpenSearch Service recently introduced the OpenSearch Optimized Instance family (OR1), which delivers up to 30% price-performance improvement over existing memory optimized instances in internal benchmarks, and uses Amazon Simple Storage Service (Amazon S3) to provide 11 9s of durability.

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Nexthink scales to trillions of events per day with Amazon MSK

AWS Big Data

Real-time data streaming and event processing present scalability and management challenges. In this post, Nexthink shares how Amazon Managed Streaming for Apache Kafka (Amazon MSK) empowered them to achieve massive scale in event processing. Finally, Nexthink details the benefits achieved by adopting Amazon MSK.

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Keeping Small Queries Fast – Short query optimizations in Apache Impala

Cloudera

Impala Optimizations for Small Queries. We’ll discuss the various phases Impala takes a query through and how small query optimizations are incorporated into the design of each phase. Query optimization in databases is a long standing area of research, with much emphasis on finding near optimal query plans.

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Apache Iceberg optimization: Solving the small files problem in Amazon EMR

AWS Big Data

Compaction is the process of combining these small data and metadata files to improve performance and reduce cost. Systems of this nature generate a huge number of small objects and need attention to compact them to a more optimal size for faster reading, such as 128 MB, 256 MB, or 512 MB.