Search result for Data compression Online Courses & Certifications
FollowFilter ![]()
Filter ![]()
Showing 52 courses
By Category ![]()
By Subject![]()
By Language![]()
By Duration![]()
By Price![]()
Get Course Alerts by Email
Algorithms, Part II
by Robert Sedgewick , Kevin Wayne- 4.9
-
![]()
![]()
![]()
![]()
![]()
Approx. 63 hours to complete
This course covers the essential information that every serious programmer needs to know about algorithms and data structures, with emphasis on applications and scientific performance analysis of Java implementations. Part I covers elementary data structures, sorting, and searching algorithms. Data Compression Introduction to Data Compression Huffman Compression Interview Questions: Data Compression (ungraded)...
Data Structures & Algorithms II: Binary Trees, Heaps, SkipLists and HashMaps
by Mary Hudachek-Buswell- 0.0
-
![]()
![]()
![]()
![]()
![]()
5 Weeks
Become familiar with nonlinear and hierarchical data structures. You will explore the hierarchical data structure of trees. Heaps approach access differently and prioritize what data is accessed. HashMaps and SkipLists are the last data structures discussed in the course. The key-value pairs are stored in an unordered manner based on hash codes and compression functions that translate keys into integers....
$149
neural networks for autoencoders and recommender systems
by Dan We- 4.1
-
![]()
![]()
![]()
![]()
![]()
2 hours on-demand video
Machine learning hands on data science class "From my personal experience I can tell you that companies will actively searching for you if you aquire some skills in the data science field. In the first part we will create an autoencoder neural network to learn how data compression with neural networks work....
$12.99
Big Data Essentials: HDFS, MapReduce and Spark RDD
by Ivan Puzyrevskiy , Emeli Dral , Evgeniy Riabenko , Alexey A. Dral , Pavel Mezentsev- 4
-
![]()
![]()
![]()
![]()
![]()
Approx. 41 hours to complete
- learn some basic technologies of the modern Big Data landscape, namely: HDFS, MapReduce and Spark; - grasp the MapReduce framework, a workhorse for many modern Big Data applications; Compression Big Data and Distributed File Systems Compression Data Skew, Salting Data and code...
Master Big Data - Apache Spark/Hadoop/Sqoop/Hive/Flume
by Navdeep Kaur- 0.0
-
![]()
![]()
![]()
![]()
![]()
8.5 hours on-demand video
In-depth course on Big Data - Apache Spark , Hadoop , Sqoop , Flume & Apache Hive, Big Data Cluster setup Using sqoop export, migrate data from HDFS to Mysql. Using sqoop export, migrate data from Hive to Mysql. Using flume, Ingest data from Twitter and save to HDFS. Spark Data frames - working with diff File Formats & Compression...
$13.99
Unordered Data Structures
by Wade Fagen-Ulmschneider- 4.7
-
![]()
![]()
![]()
![]()
![]()
Approx. 21 hours to complete
The Unordered Data Structures course covers the data structures and algorithms needed to implement hash tables, disjoint sets and graphs. These fundamental data structures are useful for unordered data. These graph algorithms will also depend on another concept called disjoint sets, so this course will also cover its data structure and associated algorithms....
Teaching Impacts of Technology: Fundamentals
by Beth Simon- 4.9
-
![]()
![]()
![]()
![]()
![]()
Approx. 11 hours to complete
Technologies and Computing Concepts: Data Centers, Downloading vs Streaming, Digital vs. Analog image representation, basic compression algorithms, Internet metrics (latency, bandwidth) Internet and Data Center Basics...
Related searches
Hive to ADVANCE Hive (Real time usage) :Hadoop querying tool
by J Garg- 4.4
-
![]()
![]()
![]()
![]()
![]()
7 hours on-demand video
Apache Hive is a data processing tool on Hadoop. Hive is an open source-software that lets programmers analyze large data sets on Hadoop. Make yourself prepared to work on Real time Big data and Hive projects by learning Advance Hive from this course. Compression techniques in Hive Loading Unstructured data in Hive...
$17.99
Big Data Analysis: Hive, Spark SQL, DataFrames and GraphFrames
by Alexey A. Dral , Pavel Klemenkov , Natalia Pritykovskaya , Pavel Mezentsev- 4
-
![]()
![]()
![]()
![]()
![]()
Approx. 37 hours to complete
No doubt working with huge data volumes is hard, but to move a mountain, you have to deal with a lot of small stones. - Organizing your data in Hive to optimize disk space usage and execution times; Become a data ninja by taking this course! Graph Analysis from Big Data Perspective...
Computer Science 101
by Nick Parlante- 0.0
-
![]()
![]()
![]()
![]()
![]()
6 Weeks
How structured data works Digital media, images, sounds, video, compression...
$199
Previous
