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3 Performance Tricks for Dealing With Big Data Sets

DZone

This article describes 3 different tricks that I used in dealing with big data sets (order of 10 million records) and that proved to enhance performance dramatically. Trick 1: CLOB Instead of Result Set. This trick enhanced the performance dramatically.

Big Data 246
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In-Stream Big Data Processing

Highly Scalable

The shortcomings and drawbacks of batch-oriented data processing were widely recognized by the Big Data community quite a long time ago. The engine should be able to ingest both streaming data and data from Hadoop i.e. serve as a custom query engine atop of HDFS. High performance and mobility. References.

Big Data 154
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What is software automation? Optimize the software lifecycle with intelligent automation

Dynatrace

Software analytics offers the ability to gain and share insights from data emitted by software systems and related operational processes to develop higher-quality software faster while operating it efficiently and securely. This involves big data analytics and applying advanced AI and machine learning techniques, such as causal AI.

Software 183
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What is behavior analytics?

Dynatrace

Behavior analytics is a form of business analytics that tracks and evaluates a user’s complete journey through a website or mobile application. Dynatrace enables organizations to understand user behavior with big data analytics based on gap-free data, eliminating the guesswork involved in understanding the user experience.

Analytics 226
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Business Insights extends support for optimizing Core Web Vitals

Dynatrace

But capturing metrics and displaying them in a way that’s easy to digest across dozens of global sites and hundreds of landing pages for all the Core Web Vitals (CWV) metrics – the 75 th percentile, 28-day lookback, pass and fail criteria, mobile and desktop segregation – can get hard to manage. Segregation of data by mobile and desktop.

Traffic 262
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What is APM?

Dynatrace

Websites, mobile apps, and business applications are typical use cases for monitoring. Go faster, deliver consistently better results, with less team friction that you ever thought possible, as Dynatrace combines a unified data platform with advanced analytics to provide a single source of truth for your Biz, Dev and Ops teams.

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Conducting log analysis with an observability platform and full data context

Dynatrace

Using Grail to heal observability pains Grail logs not only store big data, but also map out dependencies to enable fast analytics and data reasoning. Out of 26 million customers, some 18 million use their mobile apps to access digital services through the web.

Analytics 183