Remove faster-performance-for-selective-queries
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5 tips for excelling at self-service analytics

CIO

One potential solution to this challenge is to deploy self-service analytics, a type of business intelligence (BI) that enables business users to perform queries and generate reports on their own with little or no help from IT or data specialists. But there are right and wrong ways to deploy and use self-service analytics.

Analytics 342
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SQL unleashed: 9 ways to speed up your SQL queries

InfoWorld

SQL is the leading language for developing and querying databases , but it has a few quirks. Now, let's take a look at 9 best practices for writing faster SQL queries. Now, let's take a look at 9 best practices for writing faster SQL queries. In my last article, I shared 7 SQL mistakes to avoid.

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SQL Query Optimization Techniques

InnovationM

Query optimization is a technique for obtaining required data in a very efficient manner when we deal with databases which are having a very large amount of data and very complex data. But when software or project goes live then queries start to face a very large amount of data and very complex data. So, It will reduce the performance.

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Introducing the SQL AI Assistant:Create, Edit, Explain, Optimize, and Fix Any Query

Cloudera

Imagine how many iterations of query writing you’d have to go through. Those contain some of the biggest hair-ball queries you’ve ever seen. Imagine how long it takes to unravel those queries just to understand them, let alone make modifications to fit new business requirements. What do they mean? What a nightmare!

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Materialized View vs View – Know the Difference

The Crazy Programmer

View, the virtual data have the data extracted from the query expression in the ‘Create View’ command. Views can be questioned when you query the unique base table. Views are used for virtual projections of the output query results. Execution of Query. As <query expression> References per line. .

Storage 162
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Spark SQL Properties

Perficient

properties are a set of configuration options specific to Spark SQL, a module within Apache Spark designed for processing structured data using SQL queries, DataFrame API, and Datasets. Histograms provide additional insights into the distribution of data in columns, which can aid the query optimizer in making better execution decisions.

Data 52
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3x better performance with CDP Data Warehouse compared to EMR in TPC-DS benchmark

Cloudera

In a previous blog post on CDW performance, we compared Azure HDInsight to CDW. as we couldn’t get queries to run successfully on version 6.1.0. CDW runs the TPC-DS benchmark test suite more than 3x faster than EMR – 3 hours vs 11 hours (see Figure 1). Amazon recently announced their latest EMR version 6.1.0