All Materials regarding to B.tech R-20 in Computer Science Engineering with unit wise for Every Subjects are available.
👇👇Scroll Down for Important Questions and Topics Unit Wise 👇👇
| CSE 3-2 BDA | ||
|---|---|---|
| S.No | Chapters / Units | Download Link |
| 1 | Unit 1 | Download |
| 2 | Unit 2 | Download |
| 3 | Unit 3 | Download |
| 4 | Unit 4 | Download |
| 5 | Unit 5 | Download |
CSE BDA Important Topics Questions
UNIT I
Introduction: Introduction to big data: Introduction to Big Data Platform, Challenges of Conventional
Systems, Intelligent data analysis, Nature of Data, Analytic Processes and Tools, Analysis vs Reporting.
UNIT II
Stream Processing: Mining data streams: Introduction to Streams Concepts, Stream Data Model and
Architecture, Stream Computing, Sampling Data in a Stream, Filtering Streams, Counting Distinct
Elements in a Stream, Estimating Moments, Counting Oneness in a Window, Decaying Window, Real
time Analytics Platform (RTAP) Applications, Case Studies - Real Time Sentiment Analysis - Stock
Market Predictions.
UNIT III
Introduction to Hadoop: Hadoop: History of Hadoop, the Hadoop Distributed File System, Components of
Hadoop Analysing the Data with Hadoop, Scaling Out, Hadoop Streaming, Design of HDFS, Java
interfaces to HDFS Basics, Developing a Map Reduce Application, How Map Reduce Works, Anatomy
of a Map Reduce Job run, Failures, Job Scheduling, Shuffle and Sort, Task execution, Map Reduce Types
and Formats, Map Reduce Features Hadoop environment.
UNIT IV
Frameworks and Applications: Frameworks: Applications on Big Data Using Pig and Hive, Data
processing operators in Pig, Hive services, HiveQL, Querying Data in Hive, fundamentals of HBase and
ZooKeeper.
UNIT V
Predictive Analytics and Visualizations: Predictive Analytics, Simple linear regression, Multiple linear
regression, Interpretation of regression coefficients, Visualizations, Visual data analysis techniques,
interaction techniques, Systems and application
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