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Hadoop training Pimple Saudagar Pune, apache hadoop bigdata training institutes Pimple Saudagar Pune

List of Best Hadoop training Pimple Saudagar Pune, apache hadoop training institutes Pimple Saudagar Pune, hadoop big data training Pimple Saudagar Pune with address, Phone numbers, course fee, student reviews and training course learning at Pimple Saudagar area in Pune City. As of April 20, 2018, We have total of 13 Hadoop training institutes in and around also near to Pimple Saudagar in Pune.

 

 

training institutes Ethans Tech
Pune - Pimple Saudagar

 

Best training institute

 

Ethans Tech at Pimple Saudagar - training room	 photo_11346 Ethans Tech at Pimple Saudagar - class room	 photo_10926 Ethans Tech at Pimple Saudagar - class room	 photo_11347 
Address: office no: 304, 3rd floor, Fortuna building Pimple Saudagar Pune-411027

than's is established with the aim of providing 100% practical corporate level training and learning experience of essential IT courses to all working IT professionals throughout India. Ethans Tech provides placement Hadoop training in Pimple Saudagar , Hive, Apache Mahout, Apache HBase, Bigdata Hadoop, Apache Hadoop training classes at Pimple Saudagar.
 
training institutes 3RI Technologies Pvt Ltd
Pune - Pimple Saudagar

 

Best training institute

 

3RI Technologies Pvt Ltd at Pimple Saudagar - 	computer lab photo_14076 3RI Technologies Pvt Ltd at Pimple Saudagar - 	computer lab photo_14075 3RI Technologies Pvt Ltd at Pimple Saudagar - 	computer lab photo_13999 
Address: Office No. 405, Above McD, Rainbow Plaza, Rahatani Rd, Dwarkadheesh Gardens, Pimple Saudagar, Pune, Maharashtra 411017 google map of 16027

3RI Technologies is a Leading Training Provider for Software Development Courses since 2010. We provide high Quality Industry Level Training with Real Time Project based Scenarios 3RI Technologies Pvt Ltd provides placement Hadoop training in Pimple Saudagar training classes at Pimple Saudagar.
 
Best Institute

 

Radical Technologies - Pune at Aundh - theory class photo_5490 Radical Technologies - Pune at Aundh - center entrance	 photo_13867 Radical Technologies - Pune at Aundh - training testimonial photo_5495 
Address: 5th floor, New DP.Road, Aundh, Pune-411007 google map of 7042
Radical Technologies is a recognized leader in training of Administrative and software Development courses since 1995 to empower IT individuals with competitive advantage for exploiting untapped jobs Radical Technologies - Pune provides placement Hadoop training in Pimple Saudagar training classes at Aundh.
 
training institutes JITSINFOTECH
Pune - Aundh

 

Best Institute

 

JITSINFOTECH at Aundh - computer lab photo_15566 
Address: Disha Apartment, Opp. Woodland showroon Off no 17, Parihar chowk Aundh Pune-411007

We are pioneer of the embedded system training with expertise of over 12 years. We are one of the India’s most reputed corporate training & Workshops Company in the field of Embedded System & Robotics JITSINFOTECH provides placement Hadoop training in Pimple Saudagar , Apache Mahout, Apache HBase, Bigdata Hadoop, Apache Hadoop training classes at Aundh.
 
 
training institutes ANV Infosystem
Pune - Dange chowk

 

Best Institute
Address: DANGE CHOWK Pune-411033
ANV Infosystem provides placement Hadoop training in Pimple Saudagar , Hive, Apache Mahout, Apache HBase, Bigdata Hadoop, Apache Hadoop training classes at Dange chowk.
 
training institutes Hi -Skill Institute
Pune - Pimple Saudagar

 

training institute

 

Hi -Skill Institute at Pimple Saudagar - class room	 photo_17108 
Address: 305, 3rd floor, Fortuna complex Pimple Saudagar Pune-4110027
Hi -Skill Institute provides placement Hadoop training in Pimple Saudagar , Hive, Apache Mahout, Apache HBase, Bigdata Hadoop, Apache Hadoop training classes at Pimple Saudagar.
 
training institutes SQTL
Pune - Pimple Saudagar

 

training institute

 

SQTL at Pimple Saudagar - training room	 photo_16229 SQTL at Pimple Saudagar - computer center	 photo_16231 SQTL at Pimple Saudagar - training room	 photo_16201 
Address: A/404, Sai ambience, Pimple saudagar
SQTL provides placement Hadoop training in Pimple Saudagar , Hive, Apache Mahout, Apache HBase, Bigdata Hadoop, Apache Hadoop training classes at Pimple Saudagar.
 
training institute
Address: S.No 6, Royal Tranquil, Office Number 105, Near Rainbow Plaza, Konkane Chowk, Rahatani, Pimple Saudagar Pune-411017
Mindscripts Technologies:- Pimple Saudagar provides placement Hadoop training in Pimple Saudagar , Apache Mahout, Apache HBase, Bigdata Hadoop, Apache Hadoop training classes at Pimple Saudagar.
 
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Hadoop related Training courses in pimple-saudagar

 

 

 

 

 

Hadoop training centers in pimple-saudagar, pune - Training Reviews

Find the training reviews of best Hadoop training institute in pune pimple-saudagar and training placement reviews of Hadoop course training centers in pimple-saudagar pune

 
Sudeep Singh 5 Star Rating: Excellent Training (5-Excellent Training)
According to me, it is always necessary to upgrade your skills with the passage of time. I took training with the same perspective in mind. I really benefited so much from training in Hadoop from Etlhive. I am happy that many new opportunities are coming my way now. Thanks
Institute reviewed : ETLHIVE in Pune for Hadoop training in Pune
 
 
varsha Bhosle 5 Star Rating: Excellent Training (5-Excellent Training)
I visited many institutes to lean Hadoop for interviews. All of them are teaching at very basic level. I finally reached the right place in etlhive and learnt interview oriented hadoop course. I got enough confidence to attend product based MNC interviews. Thanks Etlhive Class for giving me great confidence.
Institute reviewed : ETLHIVE in Pune for Hadoop training in Pune
 
 
Surbhi Mehata 5 Star Rating: Excellent Training (5-Excellent Training)
I have joined in this institute for hadoop training at Pune, This type of practical oriented class room training is very helpful for everybody and who will follows vaibhavsir classes with practical orientation approach regularly ensures that they will get exact concept about subject in short period of time. Finally in my words "Etlhive is the best for learning Hadoop.
Institute reviewed : ETLHIVE in Pune for Hadoop training in Pune
 
 
Rahul Niranjan Trivedi 5 Star Rating: Excellent Training (5-Excellent Training)
Hadoop training from this institute 3RI Technologies Pvt Ltd is good and they charge me Rs 14000 for the training.Its a two and half month training.Overall I am satisfied with the training from this institute 3RI Technologies Pvt Ltd.
Institute reviewed : 3RI Technologies Pvt Ltd in Pune for Hadoop training in Pune
 
 
Ankita B V 4 Star Rating: Best Training (4-Best Training)
To get adequate training for HADOOP Training joined in this institute 3RI Technologies Pvt Ltd.The training from this institute is good and they charge me Rs 15000 for the training.Its a 10 weeks training.The trainers are well professional and most helpful.
Institute reviewed : 3RI Technologies Pvt Ltd in Pune for Hadoop training in Pune
 
 
D Suresh 4 Star Rating: Best Training (4-Best Training)
From this institute 3RI Technologies Pvt Ltd pursuing Hadoop Training.The fees structure for the related study was Rs15000 for one and half months course with daily 1 hour class , I enjoyed the classes a lot they have also provide the extra briefing classes.
Institute reviewed : 3RI Technologies Pvt Ltd in Pune for Hadoop training in Pune
 
 
Karan 5 Star Rating: Excellent Training (5-Excellent Training)
I recently completed Hadoop and Spark training at ethans. The instructor was highly efficient in explaining complex concepts with simple and excellent examples. He was very friendly and a Great mentor. The classes were highly interactive which gave a better clarity on the subject.
Institute reviewed : Ethans Tech in Pune for Hadoop training in Pune
 


 

Hadoop Placement training, Course fees, Trainer Profile in pimple-saudagar

3RI Technologies Pvt Ltd institute located at pimple-saudagar in pune offers 8 Weeks of Hadoop training course in Pune with 100% Placement Assistance.

The trainer is a working professional almost around 12 years of experience into Database management system along with leading a complete project independently, he has an in-depth knowledge of the tech

1. Introduction to Bigdata
� Introduction and relevance
� Uses of Big Data analytics in various industries like Telecom, E- commerce, Finance and Insurance etc.
� Problems with Traditional Large-Scale Systems
2. Hadoop (Big Data) Ecosystem
� Motivation for Hadoop
� Different types of projects by Apache
� Role of projects in the Hadoop Ecosystem
� Key technology foundations required for Big Data
� Limitations and Solutions of existing Data Analytics Architecture
� Comparison of traditional data management systems with Big Data management systems
� Evaluate key framework requirements for Big Data analytics
� Hadoop Ecosystem & Hadoop 2.x core components
� Explain the relevance of real-time data
� Explain how to use big and real-time data as a Business planning tool
3. Building Blocks
� Quick tour of Java (As Hadoop is Written in Java , so it will help us to understand it better)
� Quick tour of Linux commands ( Basic Commands to traverse the Linux OS)
� Quick Tour of RDBMS Concepts (to use HIVE and Impala)
� Quick hands on experience of SQL.
� Introduction to Cloudera VM and usage instructions
4. Hadoop Cluster Architecture � Configuration Files
� Hadoop Master-Slave Architecture
� The Hadoop Distributed File System - data storage
� Explain different types of cluster setups (Fully distributed/Pseudo etc.)
� Hadoop Cluster set up - Installation
� Hadoop 2.x Cluster Architecture
� A Typical enterprise cluster � Hadoop Cluster Modes
5. Hadoop Core Components � HDFS & Map Reduce (YARN)
6. HDFS Overview & Data storage in HDFS
� Get the data into Hadoop from local machine (Data Loading Techniques) - vice versa
� MapReduce Overview (Traditional way Vs. MapReduce way)
� Concept of Mapper & Reducer
� Understanding MapReduce program skeleton
� Running MapReduce job in Command line/Eclipse
� Develop MapReduce Program in JAVA
� Develop MapReduce Program with the streaming API
� Test and debug a MapReduce program in the design time
� How Partitioners and Reducers Work Together
� Writing Customer Partitioners Data Input and Output
� Creating Custom Writable and Writable Comparable Implementations
7. Data Integration Using Sqoop and Flume
� Integrating Hadoop into an existing Enterprise
� Loading Data from an RDBMS into HDFS by Using Sqoop
� Managing Real-Time Data Using Flume
� Accessing HDFS from Legacy Systems with FuseDFS and HttpFS
� Introduction to Talend (community system)
� Data loading to HDFS using Talend
8. Data Analysis using PIG
� Introduction to Hadoop Data Analysis Tools
� Introduction to PIG - MapReduce Vs Pig, Pig Use Cases
� Pig Latin Program & Execution
� Pig Latin : Relational Operators, File Loaders, Group Operator, COGROUP Operator, Joins and COGROUP, Union, Diagnostic Operators, Pig UDF
� Use Pig to automate the design and implementation of MapReduce applications
� Data Analysis using PIG
9. Data Analysis using HIVE
� Introduction to Hive - Hive Vs. PIG - Hive Use Cases
� Discuss the Hive data storage principle
� Explain the File formats and Records formats supported by the Hive environment
� Perform operations with data in Hive
� Hive QL: Joining Tables, Dynamic Partitioning, Custom MapReduce Scripts
� Hive Script, Hive UDF
10. Data Analysis Using Impala
� Introduction to Impala & Architecture
� How Impala executes Queries and its importance
� Hive vs. PIG vs. Impala
� Extending Impala with User Defined functions
� Improving Impala performance
11. NoSQL Database � Hbase
� Introduction to NoSQL Databases and Hbase
� HBase v/s RDBMS, HBase Components, HBase Architecture
� HBase Cluster Deployment
12. Hadoop � Other Analytics Tools
� Introduction to role of R in Hadoop Eco-system
� Introduction to Jasper Reports & creating reports by integrating with Hadoop
� Role of Kafka & Avro in real projects
13. Other Apache Projects
� Introduction to Zookeeper - ZooKeeper Data Model, Zookeeper Service
� Introduction to Oozie - Analyze workflow design and management using Oozie
� Design and implement an Oozie Workflow
� Introduction to Storm
� Introduction to Spark
14. Spark
� What is Apache Spark?
� Using the Spark Shell
� RDDs (Resilient Distributed Datasets)
� Functional Programming in Spark
� Working with RDDs in Spark
� A Closer Look at RDDs
� Key-Value Pair RDDs
� MapReduce
� Other Pair RDD Operations
15. Final project
� Real World Use Case Scenarios
� Understand the implementation of Hadoop in Real World and its benefits.
� Final project including integration various key components
� Follow-up session: Tips and tricks for projects, certification and interviews etc

 

Best Hadoop training institutes in pimple-saudagar, pune - Training Requirements

List of training requirements recieved for Best Hadoop training centers in pimple-saudagar, pune.


Shweta (pimple-saudagar Pune on 22-Sep-2017 )
Bigdata Hadoop training cost with job assurance support - hadoop training in pune (pimple-saudagar)
 
Ankit Sachdeva (pimple-saudagar Pune on 21-Aug-2017 )
Bigdata Hadoop peofessional training duration - please inform. - hadoop training in pune (pimple-saudagar)
 
srishti (pimple-saudagar Pune on 13-Apr-2016 )
I am looking for courses in Big Data/ Hadoop which would help in my career and could be taken along with job. - hadoop training in pune (pimple-saudagar)
 


 

Hadoop course Content / syllabus at pimple-saudagar, pune.

We gathered most widely used Hadoop course content used by training institutes in pimple-saudagar,pune. The Hadoop course syllabus covers basic to advanced level and it may vary based on Hadoop training classes offered in pimple-saudagar.

 

1 Introduction to Hadoop administration
1.1 HDFS design
1.2 HA Name node
1.3 Map reduce design
1.4 HAdoop daemons

2 Hadoop design consideration
2.1 Distributions &
2.2 versions
2.3 Planning
2.4 Hadoop in the cloud

3 Monitoring
3.1 Nagios
3.2 Gangila
3.3 JMX
3.4 logging
3.5 Clustering

4 Backup
4.1 Storage
4.2 Backup vs Disaster
4.3 recovery
4.4 Best practices

5 Optimization
5.1 Bottleneck
5.2 Preformance
5.3 File System
5.4 Worker Node
5.5 Networking
5.6 Comparisson

6 Troubleshooting
6.1 Data Node
6.2 Task Tracker
6.3 Job Tracker
6.4 Name Node

7 Security
7.1 Multi tenancy
7.2 Authentication &
7.3 Autherization
7.4 Kerberos
7.5 Security step by step

 

 

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