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1
Introduction
2
HexaData
3
Distribution of Data
4
Distributed
5
Data Motion
6
Data Collection
7
Chunk Compression
8
Data Sets
9
Speed
10
Parallel
11
Linear Regression
12
Chunks
13
Filtering and Counting
14
Append
15
Group By
16
Summary
17
Big Data Analytics
18
Reliable UDP
Description:
Explore the world of big data analytics with renowned expert Cliff Click in this 28-minute Java-focused talk. Dive into key concepts such as HexaData, data distribution, and distributed data motion. Learn about efficient data collection techniques, chunk compression, and the importance of data sets. Discover how to optimize for speed and implement parallel processing. Gain insights into linear regression, filtering, and counting methods. Master the art of appending, grouping, and summarizing large datasets. Understand the principles of reliable UDP and its role in big data applications. Enhance your skills in handling and analyzing massive amounts of information to drive data-driven decision-making in your Java projects.

Big Data Analytics and Processing Techniques

Java
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