Big Data Training by Experts
Our Training Process
Big Data - Syllabus, Fees & Duration
MODULE 1: Introduction to Big Data and Hadoop
- Types of Digital Data
- Introduction to Big Data
- Big Data Analytics
- History of Hadoop
- Apache Hadoop
- Analysing Data with Unix tools
- Analysing Data with Hadoop
- Hadoop Streaming
- Hadoop Echo System
- IBM Big Data Strategy
- Introduction to Infosphere BigInsights
- Big Sheets
MODULE 2: HDFS (Hadoop Distributed File System)
- The Design of HDFS
- HDFS Concepts
- Command Line Interface
- Hadoop file system interfaces
- Data flow
- Data Ingest with Flume and Scoop and Hadoop archives
- Hadoop I/O: Compression
- Serialization
- Avro and File-Based Data structures
MODULE 3: Map Reduce
- Anatomy of a Map Reduce Job Run
- Failures, Job Scheduling
- Shuffle and Sort
- Task Execution
- Map Reduce Types and Formats
- Map Reduce Features
MODULE 4: Hadoop Eco System
- Pig : Introduction to PIG
- Execution Modes of Pig
- Comparison of Pig with Databases
- Grunt, Pig Latin
- User Defined Functions
- Data Processing operators
- Hive : Hive Shell
- Hive Services
- Hive Metastore
- Comparison with Traditional Databases
- HiveQL
- Tables
- Querying Data and User Defined Functions
- Hbase: HBasics
- Concepts
- Clients
- Hbase Versus RDBMS
- Big SQL: Introduction
MODULE 5: Data Analytics with R
- Machine Learning: Introduction
- Supervised Learning
- Unsupervised Learning
- Collaborative Filtering
- Big Data Analytics with BigR.
This syllabus is not final and can be customized as per needs/updates
- Since 2001, Making IT Experts by Experts
- Duration: 30 Hours (Vary as per your skill)
- Course Fees
- Individual Live Classes (1:1)
- Batch Classes @ Low Fees
- Training on Your Time, Any Where
- Access to Recorded Videos
- Practical Internship on Projects
- 100% Placement Support by our jobsNEAR.in
- Training/Internship Certificate
- Web Development Courses in Paya Lebar
- Mobile App Develpment Courses in Paya Lebar
- Website Design Courses in Paya Lebar
- Networking and Security Courses in Paya Lebar
- Digital Marketing (SEO) Courses in Paya Lebar
- Graphics Training Courses in Paya Lebar
- Cloud Computing Courses in Paya Lebar
- Mean Stack Development Courses in Paya Lebar
- Python Full Packages Courses in Paya Lebar
- Animation & Video Editing Courses in Paya Lebar
- Mern Stack Development Courses in Paya Lebar
Course Highlights
Featured Courses
Big data refers to methods for analysing, methodically extracting information from, or generally dealing with data collections that are too large or complicated for typical data-processing application software to handle. The advantages of Big Data include that it aids in the advancement of science and research, it enhances public health and healthcare through the availability of patient records, it aids in financial trading, and it is a single platform that can carry a limitless amount of data. Our Big Data online training course will assist you in learning Big Data and advancing your Big Data profession. Experienced industry specialists with more than ten years of experience cover in-depth knowledge of Big Data and Ecosystem technologies. You can land your dream positions like Data Engineer, Big Data Lead, Technical Program Manager, Big Data Developer, and Product Engineer by completing a Big Data certification course from location. Big data analytics enables businesses to integrate their data and use it to identify new opportunities. The NESTSOFT Big Data course covers a wide range of topics in big data, including data generation, storage, management, and transfer, as well as analytics, with a focus on cutting-edge technologies, tools, architectures, and systems that make up big-data computing solutions in high-performance networks. The big data course in location is designed to prepare students for a future as Big Data Engineers in the industry. When it comes to seeking for the best jobs, having the Big Data certification can put you in a different group. This on-site Big Data training will get you up and running in the most difficult professional abilities.
