Big Data & Hadoop 3.x
- Offered byedifypath
Big Data & Hadoop 3.x at edifypath Overview
Duration | 42 hours |
Total fee | ₹10,999 |
Mode of learning | Online |
Credential | Certificate |
Big Data & Hadoop 3.x at edifypath Highlights
- Valued Certification
- All-time Academic support throughout the course
Big Data & Hadoop 3.x at edifypath Course details
- We welcome Graduates, Freshers, Engineers (any stream), Professionals, Tech Enthusiasts, Entrepreneurs, and those who see a future in Big-Data & Hadoop industry. There’s a lot behind learning the science of Big-Data & Hadoop, because of its vast scope and it is expected to be the most prominent industry in the coming generations
- Learn and understand data processing from fundamentals to advance level in the arena of Data Science.
- Defining the integrated process of how various ecosystem components are utilized independently to bring out desired results.
- Acquire knowledge on the practical implementation of data lakes that is an added advantage to the organization to pool in new business opportunities.
- Big Data Hadoop is one such open-source framework that is written in Java. As per a report given by Accenture, “79% of the enterprise executives agree that companies would lose competitive advantage and face extinction if they don’t embrace and inculcate Big Data practices”
Big Data & Hadoop 3.x at edifypath Curriculum
Introduction to Data
Data Need, Storage Reqts, Info. and its imp., Events and rec., Manual and Auto. Sys for Data Mgmt.
Comp. sys for data mgmt., Intro to RDBMS, Normalization, CRUD Ops, DW and BI, EDS and Data Lake
Mini Project-1
Introduction to UNIX Operating System
Intro to OS and Unix and it's functionalities, Unix installation and login to command line
Unix file system and its fundamentals, Command classification, Introduction to pipe and filters
Introduction to SQL
SQL and RDBMS intro, Installing MySQL, SQL Commands, Working with DB, tables and data types
Data de-duplication, Creating tables with relationships and Loading data into tables
Data retrieval from multiple tables, Joining, row filtering and altering tables
Introduction to BigData Hadoop
Introduction to Analytics, and Descriptive Analytics
Modern age analytics with ex-Storage Processing needs-BigData Challenges,Soldeveloped,comparision
Analytics Journey, Data Formats, Processing unstructured data, Data Evolution, BigData Limitations
Apache Hive and Hive QL
Apache Hive and Hive QL - Part 1
Practice Assignment 1
Apache Hive and Hive QL Overview - Part 2