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The DataOps Vendor Landscape, 2021

DataKitchen

Read the complete blog below for a more detailed description of the vendors and their capabilities. Testing and Data Observability. It orchestrates complex pipelines, toolchains, and tests across teams, locations, and data centers. Testing and Data Observability. Production Monitoring and Development Testing.

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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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Robust Experimentation and Testing | Reasons for Failure!

Occam's Razor

Since you're reading a blog on advanced analytics, I'm going to assume that you have been exposed to the magical and amazing awesomeness of experimentation and testing. Insights worth testing. This blog post was originally published as an edition of my newsletter TMAI Premium. You can test landing pages.

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The Syntax, Semantics, and Pragmatics Gap in Data Quality Validation Testing 

DataKitchen

The Syntax, Semantics, and Pragmatics Gap in Data Quality Validate Testing Data Teams often have too many things on their ‘to-do’ list. Syntax-Based Profiling and Testing : By profiling the columns of data in a table, you can look at values in a column to understand and craft rules about what is allowed for a column.

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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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Keeping Small Queries Fast – Short query optimizations in Apache Impala

Cloudera

This is part of our series of blog posts on recent enhancements to Impala. 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. The entire collection is available here. Query Planner Design.

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OpenSearch optimized instance (OR1) is game changing for indexing performance and cost

AWS Big Data

In this post, we examine the OR1 instance type, an OpenSearch optimized instance introduced on November 29, 2023. To learn more about OR1, see the introductory blog post. Goal In this blog post, we’ll explore how OR1 impacts the performance of OpenSearch workloads. MiB per bulk (uncompressed).