Big Data Hadoop Training
Big Data implies enormously tremendous information. On a normal day Facebook will have around 700+ terabytes of information — roughly 7,15,000+ Gigabytes. Over a year this amounts to 250+ Petabytes of information. Hadoop Distributed File System (HDFS), a product of Apache Software Foundation, provides software frameworks for storage and processing of Big Data. Learn more with KodeBro — Big Data Apache Hadoop Training taught exhaustively.
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Big Data Hadoop Training Course Overview
What is Big Data?
Big Data refers to colossally large datasets that cannot be handled by traditional data processing tools. To give you an idea of the scale: Facebook alone generates 700+ terabytes of data daily. When calculated annually, this amounts to 250+ Petabytes — and that is just one source. Imagine storing and processing more than 1000 Exabytes (1 Exabyte = 1024 Petabytes) of data from social media, banks, the web, mobile, and more — all in a single open-source framework. That framework is Hadoop. Hadoop Distributed File System (HDFS), a product of Apache Software Foundation, provides software frameworks for the storage and processing of Big Data. KodeBro's Big Data Apache Hadoop Training covers every concept in exhaustive detail.
Apache Spark
Apache Spark is an open-source cluster computing framework for Hadoop community clusters. It qualifies to be one of the best data analytics and processing engines for large-scale data with its unmatchable speed, ease of use, and sophisticated analytics. Following are the advantages and features that make Apache Spark a crossover hit for operational as well as investigative analytics.
Course Syllabus
- Introduction to Data Analytics
- Data Types and Sources
- Data Collection and Cleaning
- Exploratory Data Analysis
Big Data Hadoop Training Key Features
Easy Access
You get lifetime admittance to the Learning Management System (LMS) where presentations, tasks, and establishment guides are available for Big Data Hadoop Training.
Assignments
Mentors will allocate several tasks after the completion of every topic that makes you an ace in the Big Data Hadoop course and helps you research Big Data and Hadoop certifications.
Real-life Case Studies
KodeBro mentors show you every subject with genuine case studies that help the student understand concepts in a better manner.
Certification
KodeBro has designed the Big Data Hadoop Training course to help you clear the certification exam as per the latest syllabus to make your career goals a reality.
Big Data Hadoop Training Opportunities & Benefits
Job Opportunities
- Big Data Hadoop Developer
- Developer - Big Data / Hadoop / DevOps / Cloud Platform
- Hadoop Developer - Java / Big Data
- Big Data / Hadoop Developer / Architect
Benefits
- You will learn about Hadoop, its ecosystem, tools, and Spark
- Big Data Hadoop Development skills applicable across industries
Why Big Data Hadoop Training?
- Read data from persistent storage and load it into Apache Spark
- Manipulate data with Spark and Scala
- Express algorithms for data analysis in a functional style
- Recognize how to avoid shuffles and re-computation in Spark
Features
- Hands-on training with real-world Big Data scenarios
- Covers the full Hadoop ecosystem end-to-end
- Expert mentors with industry experience
- Blended learning with live sessions and recorded content
Minimum Eligibility – Big Data Hadoop Training
- People looking to advance their career in Data Engineering, Big Data, Hadoop, or Spark
Skills Covered in Big Data Hadoop Training
- Hadoop
- Python
- Spark
- Scala
- Hive
- Pig
- Oozie
- Sqoop
- Flume
- Kafka
FAQ — Frequently Asked Questions
KodeBro provides Enterprise-Level Big Data Hadoop Training with industry-recognised certification.