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

AWS Big Data

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. As of this writing, only the optimize-data optimization is supported. For our testing, we generated about 58,176 small objects with total size of 2 GB.

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Optimizing Hive on Tez Performance

Cloudera

During performance testing, evaluate and validate configuration parameters and any SQL modifications. It is advisable to make one change at a time during performance testing of the workload, and would be best to assess the impact of tuning changes in your development and QA environments before using them in production environments.

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Top 15 Warehouse KPIs & Metrics For Efficient Management 

datapine

A Warehouse KPI is a measurement that helps warehousing managers to track the performance of their inventory management, order fulfillment, picking and packing, transportation, and overall operations. These powerful measurements will allow you to track all activities in real-time to ensure everything runs smoothly and safely.

Metrics 217
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What is vibration analysis and how can it help optimize predictive maintenance?

IBM Big Data Hub

Vibration analysis—a component of condition monitoring systems—utilizes vibration sensors to measure frequencies in an asset and detect abnormalities that may indicate a problem. Understanding vibrations Vibrations are multidimensional, so vibration testing requires an understanding of various parameters.

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How to Optimize Marketing and Sales Operations

Jedox

In this blog, we discuss these changes and their implications for successful operations. The description of the sales funnel is often used: individual stages of the sales process enable the measurement of key figures from the first contact to the conclusion with a signed contract or product purchased. The evolution of marketing data.

Sales 95
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Optimizing Cloudera Data Engineering Autoscaling Performance

Cloudera

We tested the scaling capabilities of CDE with the following job runs to mimic a real-world scenario: . The tests ran for 3 hours on a 1 TB TPC-DS dataset queried from Hive. The AWS CDE Cluster that ran these tests was configured with 15 r5d.4xlarge Test results with Gang scheduling and bin-packing node sorting policy.

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10 Examples of How Big Data in Logistics Can Transform The Supply Chain

datapine

You can use big data analytics in logistics, for instance, to optimize routing, improve factory processes, and create razor-sharp efficiency across the entire supply chain. According to studies, 92% of data leaders say their businesses saw measurable value from their data and analytics investments.

Big Data 275