The State of Big Data Recruiting

Demand for talented candidates  are decreasing day by day.Data science and data technology roles demand a high degree of  expertise, is in a limited supply of highly-sought professionals. The supply of talent is growing, though demand is slowly growing at a faster pace. The McKinsey Global Institute released a study stating that:
By 2018, the United States alone will face a shortage of 2 lakh people with deep analytical skills as well as 50 lakhs managers and analysts with having the knowledge of using the analytical tool to retrieve data and making effective decisions.
Another way, to estimate the suggests the demand for analytic talent will exceed supply by 60-70%.
This means for data science and data technology professionals
The skills to be a key in enabling a company's 'big data' initiative, a very good time for IT career. Recruiters are searching constantly and always have job options to consider. Enjoy the upper hand in being selective where you want to work.

Indian IT companies are hiring large number of Data Integration developer and data scientists from Big data analysis. In this digital world, lot of data is generating and the requirement of data analysts are also higher. More number of data analysts are hired in 2016. Data Scientists are in great demand and also paid higher package than other technical jobs. IT companies are searching for trained Hadoop candidates. They are now approaching to the corporate training companies who can provide trained Hadoop candidates.

Peopleclick is the leading Hadoop Training Institute in Bangalore. The trainers of peopleclick are all working professionals provide Hadoop Training Bangalore. Peopleclick is the Best Hadoop Training Institute in Bangalore. The course content of Hadoop is designed to place the candidate in IT companies including MNC. After completion of Best Hadoop Training Bangalore, peopleclick place the candidate in various IT companies including MNC. For more information please visit: www.hadooptrainingbangalore.com

Address:

Head Office - Bangalore

Peopleclick Techno Solutions Pvt. Ltd. “Sanctuary” at No. 102, 36th Main BTM 2nd Stage, Bangalore. Phone : 080-26689100 / 26683004 Email: info@people-click.com Web: www.people-click.com

Hadoop Online Training in Bangalore

Hadoop Training Bangalore

Hadoop is now one of the most rising career choices within the IT industry and PeopleClick training is offering Hadoop on-line coaching for candidates who're watching for a vivid profession option. Our crew of Hadoop authorities is ready of coaching candidates by using leveraging their real time experience with the platform and enhances their potential with the platform. The path content and structure of Hadoop online training are designed with latest technological know-how updates and meet enterprise necessities. Hadoop online training from PeopleClick makes it possible for candidates to participate in distinct roles in Hadoop domain together with developer, architect, admin, tester, knowledge scientist and extra after completing direction with us.

Open source, gigantic knowledge, and industry Analytics are some of the most up to date buzz phrases in the market today. As more and more corporations seem to manage their terabytes of knowledge price effortlessly and likewise glean insightful analytics from the huge volumes of knowledge on hand to them, frameworks equivalent to Hadoop are being adopted at a speedy p.C. Across the board.

Supply your profession the "massive knowledge" enhance with the Hadoop training programs from PeopleClick methods. Our programs are much wanted for the following:

best direction content delivered by using industry experts with on-the-ground expertise in using Hadoop to clear up actual-existence business challenges
Interactive programs with a couple of arms-on workouts to reaffirm your working out of standards offered for the duration of each and every session
customized course content to suit the designated standards of the batch / candidates
Modular packages to go well with the various specifications / stage of expertise of candidates

Why Hadoop training Bangalore from PeopleClick?
PeopleClick is among the early adopters of Hadoop; and we use the framework largely in our day-to-day work. We use Hadoop to provide large data visualization and analytics products to a lot of our enterprise buyers. We have now also developed and open-sourced, Nectar our subsequent new release analytics framework on Hadoop, to motivate innovation in this discipline.

Of the over 1,000 persons whom we've educated considering that 2011, practically 95% of individuals have recounted that they'd recommend or highly propose PeopleClick training to a colleague or pal. Our coaching programs were subscribed to through data specialists from all top MNCs. Register for a PeopleClick training path and become a member of the Hadoop action at present!

Website : http://hadooptrainingbangalore.com/

BigData and Hadoop Online Training Bangalore

About Big Data Hadoop Online Training

Hadoop Training Bangalore

Big Data Hadoop Online Training course helps you learn the core techniques and concepts of Big Data and Hadoop ecosystem. Learn architecture and concepts of HDFS, Hadoop Cluster setup, Map-Reduce, Hadoop 2.x, Flume, Sqoop, Pig, Hive, HBase, Oozie etc. to become leader in this field. The course is designed in a format that meets your convenience, availability and flexibility needs.

Course Objectives

Lead you on the path to become a certified Hadoop professional
Prepare to lead Hadoop movement and become employable in Big Data Industry
Learn how to Develop Game-Changing Hadoop Applications
Understand Hadoop Architecture
Master the concepts of Hadoop Distributed File System (HDFS)
Advanced features in Hadoop 2.x – HDFS Federation, NameNode High Availability
Setup Hadoop on single and multi-node Cluster (on Amazon ec2)
Master the concepts of Map-Reduce framework
Program in Map-Reduce (Both MRv1 and MRv2)
Learn advance Map-Reduce Concepts and internal dataflow
Play with Datasets (Twitter data set for sentiment analysis, weather dataset, Sales dataset, etc.) and learn to write Complex Map-Reduce programs
Master the concepts of YARN
Perform Data Analytics using Pig and Hive
Understand Data Loading Techniques using Sqoop and Flume
Implement HBase, Map-Reduce Integration, Advanced Usage and Advanced Indexing
Have a good understanding of ZooKeeper service
Implement best Practices for Hadoop Development and Debugging
Design and develop applications involving large data using Hadoop eco system
Work on a Real Life Project on Big Data and gain hands-on Experience

Website : http://hadooptrainingbangalore.com/

Hadoop Online Training By IT Experts

Hadoop Training Bangalore

PeopleClick Online Training facility offers Hadoop online coaching by trainers WHO have professional information within the Hadoop and proved  record of coaching many students. Our Hadoop training bangalore is thought to be the most effective on-line coaching by our students and company purchasers. we tend to area unit coaching partners for company purchasers like IBM. we tend to train students from across all countries like USA, UK, Singapore, UAE, Australia, India. Our Hadoop coaching is your one stop answer to find out, apply and build career during this field at the comfort of your Home with versatile category schedules.

Hadoop Introduction :

Hadoop is open supply software system that permits distributed process of the scattered giant sets of information across batch of pc servers mistreatment easy programming strategies. it's printed to proportion from one server to thousands of machines, with a awfully high accessibility. This offers native computation and storage. instead of betting on hardware, the flexibleness of those batches comes from the softwares capability to discover and handle failures at the applying layer. This course helps you thru address the challenges and make the most of the core values provided by Hadoop in a very trafficker neutral approach.

PeopleClick Training offers the Hadoop Online Course in a true global setting.

Hadoop Online Training Concepts :

Basics of Hadoop:

Motivation for Hadoop
Large scale system training
Survey of data storage literature
Literature survey of data processing
Networking constraints
New approach requirements
Basic concepts of Hadoop

What is Hadoop?
Distributed file system of Hadoop
Map reduction of Hadoop works
Hadoop cluster and its anatomy
Hadoop demons
Master demons
Name node
Tracking of job
Secondary node detection
Slave daemons
Tracking of task
HDFS(Hadoop Distributed File System)
Spilts and blocks
Input Spilts
HDFS spilts
Replication of data
Awareness of Hadoop racking
High availably of data
Block placement and cluster architecture
CASE STUDIES
Practices & Tuning of performances
Development of mass reduce programs
Local mode
Running without HDFS
Pseudo-distributed mode
All daemons running in a single mode
Fully distributed mode
Dedicated nodes and daemon running
Hadoop administration

Setup of Hadoop cluster of Cloud era, Apache, Green plum, Horton works
On a single desktop, make a full cluster of a Hadoop setup.
Configure and Install Apache Hadoop on a multi node cluster.
In a distributed mode, configure and install Cloud era distribution.
In a fully distributed mode, configure and install Hortom works distribution
In a fully distributed mode, configure the Green Plum distribution.
Monitor the cluster
Get used to the management console of Horton works and Cloud era.
Name the node in a safe mode
Data backup.
Case studies
Monitoring of clusters
Hadoop Development :

Writing a MapReduce Program
Sample the mapreduce program.
API concepts and their basics
Driver code
Mapper
Reducer
Hadoop AVI streaming
Performing several Hadoop jobs
Configuring close methods
Sequencing of files
Record reading
Record writer
Reporter and its role
Counters
Output collection
Assessing HDFS
Tool runner
Use of distributed CACHE
Several MapReduce jobs (In Detailed)
1.MOST EFFECTIVE SEARCH USING MAPREDUCE
2.GENERATING THE RECOMMENDATIONS USING MAPREDUCE
3.PROCESSING THE LOG FILES USING MAPREDUCE
Identification of mapper
Identification of reducer
Exploring the problems using this application
Debugging the MapReduce Programs
MR unit testing
Logging
Debugging strategies
Advanced MapReduce Programming
Secondary sort
Output and input format customization
Mapreduce joins
Monitoring & debugging on a Production Cluster
Counters
Skipping Bad Records
Running the local mode
MapReduce performance tuning
Reduction network traffic by combiner
Partitioners
Reducing of input data
Using Compression
Reusing the JVM
Running speculative execution
Performance Aspects
CASE STUDIES
CDH4 Enhancements :

1. Name Node – Availability
2. Name Node federation
3. Fencing
4. MapReduce – 2

HADOOP ANALYST

1.Concepts of Hive
2. Hive and its architecture
3. Install and configure hive on cluster
4. Type of tables in hive
5. Functions of Hive library
6. Buckets
7. Partitions
8. Joins
1. Inner joins
2. Outer Joins
9. Hive UDF

PIG

1.Pig basics
2. Install and configure PIG
3. Functions of PIG Library
4. Pig Vs Hive
5. Writing of sample Pig Latin scripts
6. Modes of running
1. Grunt shell
2. Java program
7. PIG UDFs
8. Macros of Pig
9. Debugging the PIG

IMPALA

1. Difference between Pig and Impala Hive
2. Does Impala give good performance?
3. Exclusive features
4. Impala and its Challenges
5. Use cases

NOSQL

1. HBase
2. HBase concepts
3. HBase architecture
4. Basics of HBase
5. Server architecture
6. File storage architecture
7. Column access
8. Scans
9. HBase cases
10. Installation and configuration of HBase on a multi node
11. Create database, Develop and run sample applications
12. Access data stored in HBase using clients like Python, Java and Pearl
13. Map Reduce client
14. HBase and Hive Integration
15. HBase administration tasks
16. Defining Schema and its basic operations.
17. Cassandra Basics
18. MongoDB Basics

Ecosystem Components

1. Sqoop
2. Configure and Install Sqoop
3. Connecting RDBMS
4. Installation of Mysql
5. Importing the data from Oracle/Mysql to hive
6. Exporting the data to Oracle/Mysql
7. Internal mechanism

Oozie

1. Oozie and its architecture
2. XML file
3. Install and configuring Apache
4. Specifying the Work flow
5. Action nodes
6. Control nodes
7. Job coordinator

Challenges of Hadoop

1. Hadoop recovery
2. Hadoop suitable cases.

HIGHLIGHTS

100% Certification Assurance
Big Data University (Ibm) Certification Free
Technical Support
Interview Questions
Sample Resumes
Our Hadoop Online Training batches start every week and we accommodate your flexible timings.

Website:  http://hadooptrainingbangalore.com/

Peopleclick Offers Free Hadoop Training

Hadoop Online Training in India

In an endeavor to form Hadoop training for developers, analysts and directors a lot of accessible, Hadoop distribution specialist Peopleclick Technologies Tuesday undraped a free on-demand educational program. Another track for HBase developers are going to be another later this quarter.

"This represents a $50 million, in-kind contribution to the Hadoop community," says Jack Frank Norris, CMO of Peopleclick. "The focus is overcoming what many folks think about the main obstacle to the adoption of huge information, notably Hadoop."


The multi-course program is constructed on interactive video lessons, active exercises, labs and quizzes that professionals will tackle once and wherever they require, at their own pace. Frank Norris notes that users will opt for that course modules to pursue, primarily permitting them to make their own program. Peopleclick has conjointly organized for certification exams by Innovative Exams, a specialist in certifications and take a look at proctoring.


The developer track is regarding building massive information applications in Hadoop. The topics vary from the fundamentals of Hadoop and connected technologies to advanced topics like coming up with and developing MapReduce and HBase applications with active labs. The courses include:

Hadoop necessities. This course, that is straight away obtainable, provides associate introduction to Hadoop, the scheme, common solutions and use cases.
Developing Hadoop Applications. This course is additionally in real time obtainable and focuses on coming up with and writing effective Hadoop applications with MapReduce and YARN.
HBase Schema style and Modeling. This course can become obtainable in Gregorian calendar month and can concentrate on design, schema style and information modeling on HBase.
Developing HBase Applications. This course will debut in Gregorian calendar month and focuses on real-world application style in HBase (Time Series and Social Application examples).
Hadoop information Analysis – Drill. Slated for debut in March, this course covers interactive SQL on Hadoop for structured, semi-structured and nested information.
Norris notes that this learning path prepares the user for Hadoop Developer and HBase Developer certification exams. The exams price $250 every and might be taken on-line with live remote proctoring.

Website: http://hadooptrainingbangalore.com/

Hadoop Big Data Online Training

Hadoop Training Bangalore

Hadoop Training Bangalore provides the most effective Software’s coaching for varied pc IT courses through Webex, Gotomeeting. we have a tendency to ar providing Hadoop coaching supported specific desires of the learners particularly we are going to offer innovative one to at least one categories that has nice opportunities within the gift IT market. we have a tendency to additionally provides category space course to touch upon today’s competitive IT world. Learners will grasp the technology-subject from our extremely knowledgeable & certified trainers which can be serving to the scholars to figure in real time projecs. Learners will select either regular course or means categories or weekend coaching categories. It’s proud to be we have a tendency to ar one in every of the highest leading Hadoop on-line coaching supplier from Asian country. we have a tendency to ar into this field with passion and dedication we have a tendency to ar in to on-line trainings from a few years. Our team of well knowledgeable Hadoop trainers with large real time IT expertise in hadoop online trainings is devoted towards providing quality training.Hadoop Training Bangalore has taken nice steps in providing very best quality on-line categories. we have a tendency to placed Our students in Asian country,USA, UK, SINGAPORE, NEWZELAND, CANADA, AUSTRALIA,JAPAN, SWEDEN. we have a tendency to additionally give Job support & Interview Support

Hadoop Online Training Concepts :

HADOOP BASICS

The Motivation for Hadoop
✔ Problems with traditional large-scale systems
✔ Data Storage literature survey
✔Data Processing literature Survey
✔Network Constraints
✔Requirements for a new approach
✔Hadoop: Basic Concepts
✔What is Hadoop?
✔The Hadoop Distributed File System
✔Hadoop Map Reduce Works
✔Anatomy of a Hadoop Cluster
✔Hadoop demons
✔Master Daemons
✔Name node
✔Job Tracker
✔Secondary name node
✔Slave Daemons
✔Job tracker
✔Task tracker

✔HDFS(Hadoop Distributed File System)

✔Blocks and Splits
✔Input Splits
✔HDFS Splits
✔Data Replication
✔Hadoop Rack Aware
✔Data high availability
✔Cluster architecture and block placement

CASE STUDIES

Programming Practices & Performance Tuning

✔Developing MapReduce Programs in
✔Local Mode

Running without HDFS

✔Pseudo-distributed Mode

Running all daemons in a single node

✔Fully distributed mode

Running daemons on dedicated nodes

Hadoop Administration :

Setup Hadoop cluster of Apache, Cloudera, Hortonworks, Greenplum

✔Make a fully distributed Hadoop cluster on a single laptop/desktop
✔Install and configure Apache Hadoop on a multi node cluster in lab.
✔Install and configure Cloudera Hadoop distribution in fully distributed mode
✔Install and configure Horton Works Hadoop distribution in fully distributed mode
✔Install and configure Green Plum distribution in fully distributed mode
✔Monitoring the cluster
✔Getting used to management console of Cloudera and Horton Works
✔Name Node in Safe mode
✔Meta Data Backup
✔Ganglia and Nagios – Cluster monitoring
✔CASE STUDIES

 Hadoop Development :

      Writing a MapReduce Program

✔Examining a Sample MapReduce Program
✔With several examples
✔Basic API Concepts
✔The Driver Code
✔The Mapper
✔The Reducer
✔Hadoop’s Streaming API

Performing several Hadoop jobs

✔The configure and close Methods
✔Sequence Files
✔Record Reader
✔Record Writer
✔Role of Reporter
✔Output Collector
✔Counters
✔Directly Accessing HDFS
✔ToolRunner
✔Using The Distributed Cache

Several MapReduce jobs (In Detailed)

✔MOST EFFECTIVE SEARCH USING MAPREDUCE

  ✔GENERATING THE RECOMMENDATIONS USING MAPREDUCE

✔PROCESSING THE LOG FILES USING MAPREDUCE

✔Identity Mapper
✔Identity Reducer
✔Exploring well known problems using MapReduce applications

Debugging MapReduce Programs

✔Testing with MRUnit
✔Logging
✔Other Debugging Strategies.

Advanced MapReduce Programming

✔ The Secondary Sort
✔Customized Input Formats and Output Formats
✔Joins in MapReduce

Monitoring and debugging on a Production Cluster

✔Counters
✔Skipping Bad Records
✔Running in local mode

Tuning for Performance in MapReduce

✔Reducing network traffic with combiner
✔Partitioners
✔Reducing the amount of input data
✔Using Compression
✔Reusing the JVM
✔Running with speculative execution

✔Other Performance Aspects
✔CASE STUDIES

CDH4 Enhancements :

✔Name Node High – Availability
✔Name Node federation
✔Fencing
✔MapReduce Version – 2

HADOOP ANALYST

Hive

✔Hive concepts
✔Hive architecture
✔Install and configure hive on cluster
✔Different type of tables in hive
✔Hive library functions
✔Buckets
✔Partitions
✔Joins in hive
✔Inner joins
✔Outer Joins
✔Hive UDF

PIG

✔Pig basics
✔Install and configure PIG on a cluster
✔PIG Library functions
✔Pig Vs Hive
✔Write sample Pig Latin scripts
✔Modes of running PIG
✔Running in Grunt shell
✔Running as Java program
✔PIG UDFs
✔Pig Macros
✔Debugging PIG

IMPALA

✔Difference between Impala Hive and Pig
✔How Impala gives good performance
✔Exclusive features of Impala
✔Impala Challenges
✔Use cases of Impala

NOSQL

✔HBase
✔HBase concepts
✔HBase architecture
✔HBase basics
✔Region server architecture
✔File storage architecture
✔Column access
✔Scans
✔HBase use cases
✔Install and configure HBase on a multi node cluster
✔Create database, Develop and run sample applications
✔Access data stored in HBase using clients like Java, Python and Pearl
✔Map Reduce client to access the HBase data
✔HBase and Hive Integration
✔HBase admin tasks
✔Defining Schema and basic operation.
✔Cassandra Basics
✔MongoDB Basics

Other EcoSystem Components

✔Sqoop
✔Install and configure Sqoop on cluster
✔Connecting to RDBMS
✔Installing Mysql
✔Import data from Oracle/Mysql to hive
✔Export data to Oracle/Mysql
✔Internal mechanism of import/export

Oozie

✔Oozie architecture
✔XML file specifications
✔Install and configuring Oozie and Apache
✔Specifying Work flow
✔Action nodes
✔Control nodes
✔Oozie job coordinator

Flume, Chukwa, Avro, Scribe, Thrift

✔Flume and Chukwa concepts
✔Use cases of Thrift, Avro and scribe
✔Install and configure flume on cluster
✔Create a sample application to capture logs from Apache using flume

Hadoop Challenges

✔Hadoop disaster recovery
✔Hadoop suitable cases

 Website: http://onlinetrainingsfromindia.com/ , http://www.people-click.com/ , http://hadooptrainingbangalore.com/

Online Hadoop Training

Online Hadoop Training From India

BIG DATA  is the word which everybody is talking about. What is exactly Big Data , people want to know about it. Big Data is nothing but a big problem for the IT industries.  Earlier we used to count data in term of MB and GB, but now we have to measure everyday data in Terabyte, Petabyte and Zetabyte.

Data is increasing exponentially, for example- Twitter processes 400 million tweets per day and the data is expected to grow in 233times from 2006 to 2020.

Big Data is a problem and Hadoop is the solution for this problem. We have other methods to handle large database using ETL, Mainframes, DBA , but all these mentioned are complicated , very expensive and not so user friendly where as Hadoop is an open source, cost effective and easier to use.

Peopleclick has already set a benchmark in training Hadoop.  We are covering the entire ONLINE training on Hadoop incorporating- the Development, administration, Analysis and testing part of Hadoop.

Our Big Data course is designed in a way to help both Fresher and Experienced who ever is willing to make a hadoop career. Any IT (Computer Science ) Graduates or professionals working in BI(Cognos and Sap BI), ETL, Oracle DBA, Mainframes, Developers, Testers, QAs’, Administrators, people in Anaytics and Project Managers can be the best beneficiaries for the Training.

After the training-

·         Trainees will have deep insight with Hadoop Stack ,Hbase , Hive and Pig .

·         Good hands on experience in writing Map reduce algorithm and programs.

·         Will be able to handle the toughest interviews question.

·         Trainees will have a knowledge equivalent to a 2years Hadoop professional.

·         All the trainees will be 100% eligible to clear the Hadoop cloudera certification.

·         For every topic, real time scenarios will be discussed in the class.

·         There will be small batches, for complete assistance to all the trainees.

·         Introduction on some Additional topics like SPARK, Mongo DB and Cassandra will also be provided to all the trainees.

·         After the completion, mock interviews and assignments will be done.

·         Resume building with some projects and unmatched interview tips will be provided to all.

·         Separate counseling will be provided to each trainee according to their educational and professional Background.

Duration of the  ONLINE training HADOOP will be 30-35 hours.

We provide both Weekdays and Weekends Batches.

You can attend a free demo before joining for the class.

For any further clarification-

Call Monica- 9164161200/080-26689100

 Website: http://onlinetrainingsfromindia.com/ , http://www.people-click.com/ , http://hadooptrainingbangalore.com/