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Keeping Small Queries Fast – Short query optimizations in Apache Impala

Cloudera

Small queries are part of many common use cases: Financial summary reporting with the end of quarter or end of year results. Data science experiment result and performance analysis, for example, calculating model lift. Here’s the query timeline from the same query running with data in Kudu instead of Parquet.

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What is a Data Pipeline?

Jet Global

Data pipelines are designed to automate the flow of data, enabling efficient and reliable data movement for various purposes, such as data analytics, reporting, or integration with other systems. There are many types of data pipelines, and all of them include extract, transform, load (ETL) to some extent.

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The Benefits, Challenges and Risks of Predictive Analytics for Your Application

Jet Global

Enhanced Skill Development: Building your own software allows your application team to develop new skills in data science, machine learning, and analytics. Higher Costs: In-house development incurs costs not only in terms of hiring or training data science experts but also in ongoing maintenance, updates, and potential debugging.

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A Stitch in Time: How Jet Analytics Boosts Microsoft Fabric Time-to-Value

Jet Global

The solution offers data movement, data science, real-time analytics, and business intelligence within a single platform. Microsoft recently introduced a comprehensive analytics solution for its enterprise customers, Microsoft Fabric.