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Fundamentals of Hadoop

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  • Complete introduction to principles and terminology.
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Live Online Classroom + One on One coaching + 100% Knowledge guaranteed

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  • 40 Hours Live Online Classroom spread over 2 weekends
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WHAT YOU NEED TO KNOW

Live Online Classroom + One on One coaching + 100% Knowledge guaranteed – £899

The Big Data Hadoop and Spark developer course have been designed to impart an in-depth knowledge of Big Data processing using Hadoop and Spark. The course provides you with an in-depth understanding of the Hadoop framework including HDFS, YARN, and MapReduce. You will learn to do functional programming in Spark, implement Spark applications, understand parallel processing in Spark, and use Spark RDD optimization techniques.

A: A professional who is skilled in Spark can pull down more salary than his non Spark skilled counterpart

Data Scientist                                          $103,660
Software Engineer                                 $93,207
Data Engineer                                         $100,894
Senior Software Engineer                    $128,558
Senior Data Scientist                             $131,920
Sr. Software Engineer                          $126,426
Data Scientist / Engineer                     $92,829

Courtesy PayScale: http://www.payscale.com/research/US/Skill=Apache_Spark/Salary

A: A basic knowledge of SQL is helpful. Programming knowledge in either Scala or Python is required. it is assumed that you will have a basic command knowledge of Linux. It is not required to have knowledge of Hadoop.

A: The Big Data Hadoop and Spark Developer Online classroom certification training is delivered by accredited trainers with more than 15 years of relevant work experience.

A:The Big Data Hadoop with Spark Developer is an intensive hands-on Instructor Led Training which covers the following topics:

Introduction to Apache Hadoop and the Hadoop Ecosystem
Apache Hadoop File Storage
Data Processing on an Apache Hadoop Cluster
Importing Relational Data with Apache Sqoop
Apache Spark Basics
Working with RDDs
Aggregating Data with Pair RDDs
Writing and Running Apache Spark Applications
Configuring Apache Spark Applications
Parallel Processing in Apache Spark
RDD Persistence
Common Patterns in Apache Spark
Data Processing
DataFrames and Spark SQL
Message Processing with Apache Kafka
Capturing Data with Apache Flume
Integrating Apache Flume and Apache Kafka
Apache Spark Streaming:Introduction to DStreams
Apache Spark Streaming:Processing Multiple Batches
Apache Spark Streaming: Data Sources

CALENDAR

Course Day & Time Course Type Price
Spark and Hadoop Developer
Aug 5-6 & Aug 26-27
Sat-Sun 10:30 AM – 6:30 PM Two Weekends Online Classroom £899.00 Enroll Now
Spark and Hadoop Developer
Sept 9-10 & Sept 23-24
Sat-Sun 10:30 AM – 6:30 PM Two Weekends Online Classroom £799.00 Enroll Now
Spark and Hadoop Developer
Oct 7-8 & Oct 21-22
Sat-Sun 10:30 AM – 6:30 PM Two Weekends Online Classroom £799.00 Enroll Now
Spark and Hadoop Developer
Nov 4-5 & Nov 18-19
Sat-Sun 10:30 AM – 6:30 PM Two Weekends Online Classroom £799.00 Enroll Now

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FAQ 'S

A:Big data is extremely large data, either structured or unstructured, which when analysed can reveal patterns, trends and associations.

A:Hadoop is based on Java Programming Framework. It supports the processing and storage of extremely large data sets in distributed Computing environment. It is a part of Apache project sponsored by the Apache Software foundation.

A: Spark is touted as ” Lighting Fast Cluster Module”. It is an open -source cluster computing system whose main aim is to make data analytics fast. Make it fast to write and fast to run.

A:Hadoop is essentially a distributed data infrastructure: It distributes massive data collections across multiple nodes within a cluster of commodity servers, which means you don’t need to buy and maintain expensive custom hardware. It also indexes and keeps track of that data, enabling big-data processing and analytics far more effectively than was possible previously.

Spark, on the other hand, is a data-processing tool that operates on those distributed data collections; it doesn’t do distributed storage.

 

A:⦁ Software Developers and Architects

⦁ Professionals with analytics and data management profile

⦁ Business Intelligence Professionals

⦁ Project Managers

⦁ Data Scientists

⦁ Professionals with Business Intelligence, ETL and data warehousing background

⦁ Professionals from testing and mainframe background

A: It is mandatory to complete 1 project and 1 Simulation test with a minimum of score of 80%. You will then be allowed to take the certification exam.

A:Number of Questions: 8–12 performance-based (hands-on) tasks on Cloudera Enterprise cluster.
Time Limit: 120 minutes
Passing Score: 70%

A:It is a form of classroom training provided over the internet. This provides students with the convenience of choosing the best location for studying and undertaking the exam.

A:Any device that has been connected to a reliable internet connection and has been installed with quality video codecs and drivers is required to enable students’ stream live training broadcasts sessions.

A:You will never have to worry about missing a class ever again. All of our trainings are live virtual classrooms. But in any circumstance, you do miss a class, you can watch the recording of the class or we will place you in another batch.

A:You can pay by Credit Card, Debit Card or Net Banking from all the leading banks, we use PAYPAL as our payment gateway.

A:If at any time, you are unhappy with the course, we will refund the money back. No questions asked.

A: If there are more than 4 people doing a group course together, we will be happy to accommodate you in a physical classroom.

A:If you have questions or want to know more about the course, you can get in touch with us in four ways:

You can chat with us using the chat option.
You can fill up the contact form and we promise to respond in two working days.
You can drop us an email at wecare@worldlearnshere.com mentioning your phone number and convenient time and we will call you back.
You can directly calls us at +44 2037699096 and we will be happy to assist you.

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