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Enquire- Introduction to Big Data and Hadoop
- Hadoop Architecture, Distributed Storage (HDFS)
- Data Ingestion into Big Data Systems and ETL
- Distributed Processing Map-Reduce Framework and Pig
- Apache Hive
- Hive with SQL and Data Aggregation
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- Big Data and Hadoop and Spark
Big Data and Hadoop & Spark
BY
Board Infinity
Learn how to use Hadoop and Spark to make data-driven business choices using the core functionalities of big data ...Read more
Beginner
Online
1 Week
₹ 15000 20000
Quick Facts
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Medium of instructions
English
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Mode of learning
Self study, Virtual Classroom
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Mode of Delivery
Video and Text Based
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Course overview
Big Data and Hadoop & Spark certification course is created by Board Infinity, an online educational platform aimed at job seekers and students that will help them set realistic goals by allowing them to reach their full potential. The Big Data and Hadoop & Spark online course aims to teach individuals how to use technologies like Hadoop and Apache Spark to methodically collect data and analyze data sets that are too complicated.
Big Data and Hadoop & Spark online classes comprise more than 25 hours of live video-based classes along with case studies and assignments. This course covers Hadoop, Spark, Hive, PySpark, NoSQL, HDFS, and YARN, as well as other big data and big data analytics technologies. Individuals will receive a certificate from Board Infinity upon successful completion of this course, demonstrating their understanding of big data analytics topics.
The highlights
- Certificate of completion
- Live online course
- 25 hours of video content
- Case studies
- Assignments
- Projects
Program offerings
- Online course
- Mentoring from experts
- Learning resources. unlimited access
- Accessible on mobile devices
Course and certificate fees
Fees information
₹ 15,000 ₹20,000
certificate availability
Yes
certificate providing authority
Board Infinity
What you will learn
Knowledge of big data
Knowledge of apache spark
After completing the Big Data and Hadoop & Spark online certification, individuals will be introduced to Hadoop and Spark for big data analytics and data analysis, as well as their concepts and basic functions. Individuals will learn about the basics of big data. Individuals will learn about NoSQL, YARN, HDFS, PySpark, and Hive, as well as other big data analytics technologies.
The syllabus
Big Data with Hadoop
HDFS & YARN
- Uses of Big Data analytics in various industries
- Problems with Traditional Large-Scale Systems
- The motivation for Hadoop
- Comparison of traditional data management
- Hadoop Ecosystem
Big Data with Spark
- Architecture
- RDD
- JOINS
- Spark SQL to Spark Dataframe conversion
- Performance
Big Data with PySpark
- Introduction to PySpark
- Resilient Distributed Datasets
- Data frames and Transformations
- Data Processing with Spark Data Frames
- Sorting Techniques
Big Data with Hive
- As a Data Warehouse
- Partitioning
- Bucketing
- Drawbacks
- Why Hive and why not HBase?
- Common Issues
- Hive QL
Instructors
Mr Gowtham Jayachandiran
Data Scientist
Freelancer
B.E /B.Tech, M.E /M.Tech.
Mr Sumit Shukla
Data Analyst
Freelancer
Mr Anurag Mukherjee
Senior Analyst
Accenture
B.E /B.Tech
Mr Rajanikant Ghate
Data Scientist
Freelancer
B.E /B.Tech, M.E /M.Tech.
Mr Kadhiravan Jayachandiran
Communication Specialist
Board Infinity
Mr Akhil Thimmaiah
Associate Program Manager
eClerx
B.E /B.Tech
Mr Saandeep Sreerambatla
Senior Consultant
ADP India Private Li...
Mr Vinal Reddy
Analytics Lead
Flipkart Pvt. Ltd.
Articles
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Top 50 Hadoop Interview Questions for Freshers and Experienced Professionals
Updated On 17 Apr, 2024
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