BIG DATA ANALYTICS
Big Data Analytics Online Training
Introduction to Big Data Analytics Online Training Course in USA
This training delivers you the highest quality of training with a hands-on approach and an industry-recognized curriculum. Training will be provided by our experienced and certified professionals in the respective fields. Training will include exposure to real-time work environments and will also prepare you to attend interviews confidently. You do not require prior knowledge of the courses listed. We give you an excellent opportunity for enhancing your career in the course of your choice. Each training module in IT consulting and training is specially designed so that by the end of the course you will be ready to face client interviews.
Course Duration:
- 45hrs Training
- 4-6 weeks course
- 15 hours of Project Work
Course Contents
- Introduction to Big Data
- Big Data Analytics
- History of Hadoop
- Apache Hadoop
- Analyzing Data with Hadoop
- Hadoop Streaming
- The Design of HDFS
- HDFS Concepts
- HDSF Command Line Interface
- Hadoop file system interfaces
- Map Reduce Anatomy
- Map Reduce Job Run
- Failures
- Job Scheduling
- Shuffle and Sort
- Task Execution
- Map Reduce Types and Formats
- Map Reduce Features.
- Data Ingest with Flume
- Scoop
- Hadoop archives
- Hadoop I/O: Compression Serialization Avro and File-Based Data structures.
- Hive Shell
- Hive Services
- Hive Meta store
- Comparison with Traditional Databases
- Hive QL
- Tables
- Querying Data
- User Defined Functions
- Introduction to PIG
- Execution Modes of Pig
- Comparison of Pig with Databases
- Grunt
- Pig Latin
- User Defined Functions
- Data Processing operators
- Basics
- Clients
- Example
- Hbase versus RDBMS.
- Spark components
- Spark Core
- Spark SQL
- Spark Streaming
- Spark machine learning
- Configuring Spark
- Installing Spark
- Different modes of execution
- What is an RDD?
- Resilient metadata
- Programming using RDDs
- Transformations and actions
- Wide transformations
- Types of RDDs
- Pair RDDs
- Data Frames
- Creating Data Frames
- Data sources
- Data Frame operations and associated functions
- Running SQL on Data Frames
- Temporary views on Data Frames
- Global temporary views on Data Frames
- Datasets
- Encoders
- Internal row
- Creating custom encoders
- Spark SQL
- Spark meta store
- Using the Hive meta store in Spark SQL
- Hive configuration with Spark
- SQL language manual
- Database
- Table and view
- Load data
- Creating UDFs
- SQL database using JDBC
- 3 Real-Time Projects
- Deployment on multiple platforms
- Discussion on project explanation in interview
- Data Engineer roles and responsibilities
- Data Engineer day to day work
- One to One resume Discussion with project, technology and Experience.
- Mock interview for every student
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Frequently Asked Questions (FAQs)
If you wish to build your career, then this course is the perfect choice for you. We focus on providing you with in-depth knowledge of every course-related topic. Besides, we teach you the practical application of everything that you have learned in the form of theory.
Yes! Tech Smart IT Solutions not only focuses on the deliverance of theoretical knowledge but on the deliverance of practical knowledge as well. We familiarize the trainees with real-world challenges and the ways to tackle them.
Well, we have a team of instructors with over 10 years of experience in their respective field. They have enough experience in dealing with the students. On that note, you can assure yourself to receive profound knowledge and a friendly attitude from the instructors.
Yes, as of now, we are offering two types of discounts. These are – group discount and referral discount. You become eligible for a group discount when you enrol as a group, whereas, a referral discount is offered when the course is referred to you by someone who’s already enrolled for the course.
Of course! By the end of the training programme, you will be well-versed with every topic from the curriculum. Moreover, you will be able to get your hands-on solving real-world problems. Hence, both these will help you invite more career opportunities for yourself.