BigData training in Hyderabad
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BigData training in Hyderabad
Hadoop Installation & setup
- Hadoop 2.x Cluster Architecture
- Federation and High Availability
- A Typical Production Cluster setup
- Hadoop Cluster Modes
- Common Hadoop Shell Commands
- Hadoop 2.x Configuration Files
- Cloudera Single node cluster
- Hive, Pig, Sqoop, Flume, Scala and Spark
Introduction to Big Data Hadoop. Understanding HDFS & Mapreduce
- Introducing Big Data & Hadoop
- What is Big Data and where does Hadoop fits in
- Two important Hadoop ecosystem componentsnamely Map Reduce and HDFS
- in-depth Hadoop Distributed File System – Replications, Block Size, Secondary Name node, High Availability
- In-depth YARN – Resource Manager, Node Manager
Deep Dive in Mapreduce
- Detailed understanding of the working of MapReduce
- The mapping and reducing process
- the working of Driver, Combiners, Partitioners, Input Formats, Output Formats, Shuffle and Sor
Introduction to Hive
- Introducing Hadoop Hive
- Detailed architecture of Hive
- Comparing Hive with Pig and RDBMS
- Working with Hive Query Language
- Creation of database, table, Group by and other clauses, the various types of Hive tables, Hcatalog, storing the Hive Results, Hive partitioning and Buckets
Advance Hive & Impala
- The indexing in Hive
- Map side Join in Hive
- Working with complex data types
- Hive User-defined Functions
- Introduction to ImpalaComparing Hive with Impala
- The detailed architecture of Impala
Introduction to Pig
- Apache Pig introduction
- Its various features, the various data types and schema in Hive, the available functions in Pig, Hive Bags, Tuples and Fields
Flume, Sqoop & HBase
- Introduction to Apache Sqoop
- Sqoop overview
- Basic imports and exports
- How to improve Sqoop performance
- The limitation of Sqoop
- Introduction to Flume and its Architecture
- Introduction to HBase
- The CAP theorem
Data Frames and Spark SQL
- The detailed Spark SQL
- The significance of SQL in Spark for working with structured data processing
- Spark SQL JSON support
- working with XML data, and parquet files
- Creating HiveContext
- Writing Data Frame to Hive, reading of JDBC files, the importance of Data Frames in Spark, creating Data Frames, schema manual inferring, working with CSV files, reading of JDBC tables
- Converting from Data Frame to JDBC, the user-defined functions in Spark SQL, shared variable and accumulators
- How to query and transform data in Data Frames, how Data Frame provides the benefits of both Spark RDD and Spark SQL, deploying Hive on Spark as the execution engine
Machine Learning using Spark (Mlib)
- Different Algorithms, the concept of iterative algorithm in Spark, analyzing with Spark graph processing
- Introduction to K-Means and machine learning, various variables in Spark like shared variables, broadcast variables, learning about accumulators
Installation of Apache storm
- Installing the Apache Storm
- Various types of run modes of Storm
Introduction to Apache Storm
Understanding Apache Storm and the data model.
Storm Topology
- Various Grouping types in Storm, reliable and unreliable messages, Bolt structure and life cycle
- Understanding Trident topology for failure handling, process, Call Log Analysis Topology for analyzing call logs for calls made from one number to another
Sitecore Training Online Fees
SELF PACED LEARNING
₹ 14950
- Duration: 20 Hrs
- Lifetime Free Upgrade
- Reference Documents
- 24*7 Support & Access
ONLINE CLASS ROOM PROGRAM
₹ 14950
- Duration: 20 Hrs
- Lifetime Free Upgrade
- Reference Documents
- 24*7 Support & Access
CORPORATE TRAINING
- Customized Training Delivery Model
- Flexible Training Schedule Options
- Industry Experienced Trainers
- 24x7 Support
Overview
- Educalf Trainers Having a minimum 6+experienced to maximum 12+years and can provide In depth and up to date knowledge in all technologies and passion to TEACH and SHARE knowledge.
- Real-time examples for each and every topic.
- Huge web resources to help you in future web projects.
- Free study material for all the topics, lots of examples and projects.
- Placement Assistance for students after completion of course through SSPC (Educalf placement cell).
- Educalf not only teaches you just theory but gives assignment training on real-time
- Requirements and Project Oriented Training with project management skills.
- We provide interview questions & answers, mock interviews, and 100% placement assistance.
Key Features
- Interview Question/Answers
- Real Time projects
- Job oriented Intense Subject
- 100% Job assistance
- 24/7 Chat/Call support
- LifeTime Job Opening updates
- Endless Learning Journey
Contact Us - 24/7
+91 8500115592
India
+91 8500115592
India
+91 8500115592
India
educalf129@gmail.com
Certification
Upon successful completion of the course, you will receive a certification from Educalf Software Training Institute, recognized and valued by leading companies in the industry. Our certifications validate your skills and make you stand out in the job market.
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