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Write Optimized Spark Code for Big Data Applications

DZone

Apache Spark is a powerful open-source distributed computing framework that provides a variety of APIs to support big data processing. PySpark is the Python API for Apache Spark , which allows Python developers to write Spark applications using Python instead of Scala or Java.

Big Data 173
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A guide to Autonomous Performance Optimization

Dynatrace

If you want to see a more hands-on approach, I encourage you to watch the recording as Stefano did a live demo of Akamas’s integration with Dynatrace, showing how to minimize the footprint of a Java application with automated JVM tuning. Q4: Do you have a way to integrate new technology stacks to Akamas via a plugin mechanism?

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Data Movement in Netflix Studio via Data Mesh

The Netflix TechBlog

As of now, CDC sources have been implemented for data stores at Netflix (MySQL, Postgres). CDC events can also be sent to Data Mesh via a Java Client Producer Library. The Studio Tech Solutions team provides near real-time reports in some data tool of choice, which we call trackers to empower the decision making.

Big Data 255
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Orchestrating Data/ML Workflows at Scale With Netflix Maestro

The Netflix TechBlog

by Jun He , Akash Dwivedi , Natallia Dzenisenka , Snehal Chennuru , Praneeth Yenugutala , Pawan Dixit At Netflix, Data and Machine Learning (ML) pipelines are widely used and have become central for the business, representing diverse use cases that go beyond recommendations, predictions and data transformations.

Java 207
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Optimizing data warehouse storage

The Netflix TechBlog

Orient: Gather tuning parameters for a particular table that changed. In AutoOptimize, the service is a cluster of Java (Spring Boot) applications using Redis to keep the states. AutoAnalyze In short, AutoAnalyze finds the best tuning/configuration parameters for a table.

Storage 208
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Structural Evolutions in Data

O'Reilly

Each time, the underlying implementation changed a bit while still staying true to the larger phenomenon of “Analyzing Data for Fun and Profit.” ” They weren’t quite sure what this “data” substance was, but they’d convinced themselves that they had tons of it that they could monetize.

Hardware 116
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Web Performance Bookshelf

Rigor

Take, for example, The Web Almanac , the golden collection of Big Data combined with the collective intelligence from most of the authors listed below, brilliantly spearheaded by Google’s @rick_viscomi. Web Performance Tuning. Progressive Web Apps. Eloquent Javascript. Professional Website Performance.