Your roadmap · आपका रोडमैप
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Admission & first meetingप्रवेश और पहली मुलाकातEnquire at your nearest NDSS centre, meet the teacher, fix the batch time and get your study material.
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Part 1 of the syllabusपाठ्यक्रम भाग 1Unit-wise coaching with notes and doubt classes.
Unit 1: Introduction to Big DataUnit 2: Hadoop, MapReduce and YARNUnit 3: HDFS and Hadoop Environment
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Part 2 of the syllabusपाठ्यक्रम भाग 2Unit-wise coaching with notes and doubt classes.
Unit 4: Hadoop Ecosystem: Pig, Hive and HBaseUnit 5: Spark, Scala and NoSQL
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Unit tests & assignmentsयूनिट टेस्टRegular tests in the university / board pattern.
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Semester 6 exam (university / board)विश्वविद्यालय / बोर्ड परीक्षाPrevious papers and full revision before the exam.
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Online tests & resultऑनलाइन टेस्ट और रिज़ल्टTake the tests online; your marks and result show in your student login and at the centre.
सिलेबस · पाठ्यक्रम
1 subject · 5 chapters · 28 topics
01Unit 1: Introduction to Big Data
6 टॉपिक+
- Types of digital data: structured, semi-structured, unstructured
- History and drivers of big data
- Big data architecture and the 5 V's
- Big data technology components and applications
- Security, privacy and ethics
- Analysis vs reporting and modern analytic tools
02Unit 2: Hadoop, MapReduce and YARN
6 टॉपिक+
- History of Hadoop and Apache Hadoop
- Analysing data with Unix tools and with Hadoop
- Hadoop streaming
- MapReduce job run, failures and scheduling
- Shuffle and sort, MapReduce types and formats
- YARN: ResourceManager, NodeManager, ApplicationMaster
03Unit 3: HDFS and Hadoop Environment
6 टॉपिक+
- HDFS design and concepts: blocks, NameNode, DataNode
- Data replication and rack awareness
- Reading and writing files in HDFS
- HDFS command line and Java interface
- Data ingest with Flume and Sqoop; Hadoop I-O: compression, serialization, Avro
- Setting up and administering a Hadoop cluster; Hadoop in the cloud
04Unit 4: Hadoop Ecosystem: Pig, Hive and HBase
5 टॉपिक+
- Pig: execution modes and Pig Latin
- Hive: architecture, HiveQL, tables and partitions
- HBase: data model, regions and client API
- ZooKeeper basics
- Applications on big data using Pig, Hive and HBase
05Unit 5: Spark, Scala and NoSQL
5 टॉपिक+
- Spark architecture and installation
- RDDs, transformations and actions
- Jobs, stages and tasks; Spark on YARN
- Introduction to Scala
- NoSQL databases: MongoDB and Cassandra
About this course
आप यह कर पाएँगे
- Explain the characteristics (V's), types and applications of big data and the challenges of conventional systems
- Explain the Hadoop architecture, MapReduce job execution and YARN
- Explain HDFS design, blocks, replication and read / write data flow and use HDFS commands
- Write simple Pig Latin scripts and HiveQL queries and explain HBase
- Explain Spark RDDs, transformations and actions and basic Scala
- Compare NoSQL databases such as MongoDB and Cassandra
यह किसके लिए है
- B.Tech Computer Science & Engineering students of Semester 6 (AKTU)
- Students of other universities studying the same subject who want unit-wise coaching
आपको क्या चाहिए
- Database Management System and Java / Python basics
- Basic Linux commands
Online tests & result
Practice and unit tests online; marks and result show in your student login and at the centre.
Student login →
सवाल
Which syllabus does the Big Data course follow?
It follows the AKTU (Dr. A.P.J. Abdul Kalam Technical University, Lucknow) B.Tech syllabus for Big Data. If your own university's syllabus differs, the centre follows your university syllabus.
Will this help in the university examination?
Yes. Teaching is unit-wise as per the AKTU scheme, with previous-year question practice, MCQ tests and doubt sessions before the semester exam.
Will I get hands-on practice with Hadoop?
Yes. A single-node Hadoop / Spark set-up (or a cloud notebook) is used to run HDFS commands, word count and Hive queries.
