Big Data & Apache Hadoop Training Course Bundle - 10 Courses Discount 99% Off

The Very Big Data Hadoop & Apache Big Data Training Course Bundle - 99% Off $3000 $29 only

The World's Biggest Companies Run on Big Data: Become An In-Demand Hadoop Engineer Today with the 10 comprehensive courses..

Learn Big Data Hadoop Master Series.. 99% Off

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Course 1 : Hadoop Master Series (Module #1) - Big Data & Hadoop Beginners Training

The First Step Towards Mastering the Big Data Framework Preferred By Major Organizations

Hadoop is an open source programming structure utilized for putting away information of any sort. It has gigantic preparing force, can deal with a high number of undertakings, and is equipped for running applications on a gathering of equipment. Hadoop is a fundamental part of Big Data, the idea utilized by significant enterprises and associations to compose their mass amounts of information. This course will give you a prologue to Hadoop and Big Data.

- Access 14 lessons and 3 hours of video content every minute of every day
- Learn the ideas of Hadoop and Big Data
- Perform Data Analytics utilizing Hadoop
- Expert the ideas of Hadoop structure
- Get experience w/distinctive arrangements of the Hadoop bunch
- Work with continuous projects utilizing Hadoop

Course 2 : Hadoop Master Series (Module #2) - Secondary Sorting, Joins & Combiners

Explore Some of the More Complex Logic of Hadoop to Further Your Understanding

To get a full comprehension of the force of Hadoop, you have to really work with Hadoop. Here you'll get an intensive lesson in how Hadoop yield is sorted, and how to control info keys in a manner that yield is sorted by. You'll learn to comprehend the mind boggling rationale behind Hadoop and how to utilize it successfully.

- Access 14 lessons and 3 hours of course content day in and day out
- Find information keys and yield in Hadoop
- Comprehend participates in Hadoop and how to actualize them
- Spread MapReduce side joins
- Find combiners in Hadoop to diminish system blockage

Course 3 : Hadoop Master Series (Module #3) - Real World Examples of Data Analysis in Hadoop

Discover the Real World Applications of Hadoop by Solving Real World Problems

Organizations use Hadoop for an assortment of reasons, including its low stockpiling cost, its information distribution center and examination store, its unconstrained information lake, and some more. Eventually, it descends to its speedy, intense preparing power for mass measures of information. In this course, you'll pick up involvement with that handling power firsthand, as you apply Hadoop in certifiable Data Analytics issues.

Access 9 addresses and 2 hours of substance all day, every day
Learn the 4 fundamental module of Hadoop: Hadoop Common, Hadoop Distributed File System, MapReduce, and Yet Another Resource Negotiator (YARN)
Comprehend this present reality utilizations of Hadoop and MapReduce
Design, code and run a genuine case of MapReduce utilizing genuine information
Perform information investigation utilizing Pig, Hive and YARN

Course 4 : Hadoop Master Series (Module #4) - Hive

Broaden Your Knowledge of Hadoop With this Introduction to the Hive Data Warehouse

Apache Hive is an information distribution center foundation based on top of Hadoop for giving information outline, inquiry, and examination. It's utilized by organizations like Facebook and Netflix, and is a significant device for any developer to know. This course will acquaint you with Hive and its information sorts and summons, so you can begin picking up a full comprehension of this framework.

Access 22 addresses and 4 hours of substance all day, every day
Comprehend Hive apportioning and bucketing
Use SQL questions to get to information put away on the Hadoop group
Find the utilizations of Hive for information examination and warehousing
Learn information sorts, summons, and the Hive metastore

Course 5 : Hadoop Master Series (Module #5) - Apache Pig

Analyze Hadoop Data Sets More Efficiently by Learning Apache Pig

Apache Pig is an information stream dialect used to break down extensive information sets. It is executable in Hadoop with MapReduce, Apache Tez, or Apache Spark. Overseeing and dissecting huge information sets is altogether less demanding with Pig. This course will acquaint you with Pig ideas so you can work with Big Data all the more proficiently.

Access 18 addresses and 3 hours of substance day in and day out
Learn Pig charges like burden and store information, bunch information, and join information
Consolidate and split information in Pig utilizing union administrator and split administrator
Comprehend separating information in Pig
Focus on Pig interior and custom capacities

Course 6 : Hadoop Ecosystem Masterclass - MapReduce

Make Data Analytics Problems Simpler & Increase Your Job Prospects With MapReduce

MapReduce is a programming model and a related execution for preparing and creating vast information sets with a parallel, appropriated calculation on a bunch. Sound befuddling? Clear it up with this course! MapReduce is an amazingly basic utilization of Hadoop, and one that organizations esteem and rely on upon to arrange their information. On the off chance that you need a lucrative employment working in Big Data, you'll require this prologue to MapReduce.

Access 30 addresses and 6 hours of substance day in and day out
Execute a custom Hadoop writable information sort and custom Hadoop key sort
Emanate information of various worth sorts from a mapper
Pick the best Hadoop info position for various situations
Position the consequences of MapReduce calculations utilizing Hadoop yield designs
Comprehend information situating, broadcasting, and disseminating shared assets to assignments in a MapReduce work

Course 7 : Hadoop Ecosystem Masterclass - Up & Running with Apache Pig

Discover Advanced Features of Apache Pig & Greatly Reduce Development Time

For composing information examination programs, Apache Pig has an abnormal state dialect called Pig Latin which gives various administrators through which software engineers can develop their own capacities for perusing, composing, and handling information. Pig Latin permits software engineers to perform MapReduce errands without complex Java codes, in this manner enormously streamlining the information examination process. In this course, you'll see how to utilize the propelled administrators of Apache Pig, and hoist your Big Data aptitudes to a tip top level.

Access 12 addresses and 2 hours of substance day in and day out
Investigate Apache Pig's arrangement of administrators for performing operations like join, sort, channel, and so forth
Compose Pig Latin scripts
Move past MapReduce utilizing Apache Pig
Store information w/o designing the diagram

Course 8 : Hadoop Ecosystem Masterclass - Beginner Hadoop & HDFS Basics

Cover the Complete Fundamentals of Working With Hadoop

All through this course, you'll pick up a further investigation into Big Data forms, while developing your insight into the Cloudera environment. Cloudera offers a unified framework for running Hadoop conventions and is a profitable asset for anyone working with Hadoop.

Access 12 addresses and 2 hours of substance all day, every day
Investigate Big Data, appropriated capacity, and MapReduce in further detail
Comprehend the Hadoop environment when introduced on Cloudera
Find the metadata design on Hadoop
Learn about HDFS, web UI, and HUE
Access HDFS through Java programs

Course 9 :Hadoop Ecosystem Masterclass - Apache YARN

Dive Into YARN, & Discover the Newest Generation of Hadoop's Modern Data Architecture

YARN is the engineering focal point of Hadoop that permits numerous information preparing motors, for example, intuitive SQL, constant spilling, information science, and cluster handling to handle information put away in a solitary stage. YARN opens a totally new way to deal with examination and is at the cutting edge of a Hadoop upset. This course will get you up to speed with Apache Hadoop YARN, so you'll be at the bleeding edge of Big Data engineers.

Access 18 addresses and 3 hours of substance every minute of every day
Comprehend the center ideas of Apache Hadoop YARN
Learn in point of interest how to introduce and direct an Apache Hadoop YARN framework
Expert the design guidelines for adjusting the YARN engineering

Course 10 : Apache Mahout - Machine Learning with Mahout Training

Enter the Futuristic World of Machine Learning & Learn How to Change Information Into Knowledge

Apache Mahout involves Scale, Spark, H20, and Hadoop's MapReduce calculation to make versatile, smart calculations that are streamlined for machine learning. Machine learning is the field in AI concerning systems through which PCs improve yields in view of earlier acknowledgment. Huge organizations like Yahoo and Amazon use machine learning calculations to gage their clients' encounters and give a superior one. The utilizations of machine learning are developing each day, and apparently interminable, which makes this course in Apache Mahout an especially profitable one for anybody intrigued by this developing, lucrative field.

- Access 12 addresses and 2 hours of substance every minute of every day
- Comprehend the contrast between administered and unsupervised learning, and the benefits of each
- Investigate Apache Mahout's 3 ways to deal with machine learning: Collaborative channels, groups, and classes
- Make versatile machine learning that can transform a lot of data into significant information
- Utilize the Taste library to make a suggestion motor

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