Knowledge in big data
IBM watson
All you need to know about IBM watson
Aarish 1224
Machine learning
unit 2 of machine learning
Data methodology
Data methodology
Machine learning
Machine learning introduction
unit 1 ML
Unit 1 complete notes on machine learning
BIG DATA OVERVIEW
This clip contains notes of BIG DATA OVERVIEW for the students of B.Tech 1st year.
Shivam Sharma
big data
"Big data" is a field that treats ways to analyze, systematically extract information from, or otherwise deal with data sets that are too large or complex to be dealt with by traditional data-processing application software
parth gera
DATA SCIENCE AND BIG DATA ANALYTICS, Syllabus and study plan
UNIT I – INTRODUCTION TO DATA SCIENCE (6 hours) Introduction of Data Science – Basic Data Analytics using R – R Graphical User Interfaces – Data Import and Export – Attribute and Data Types – Descriptive Statistics – Exploratory Data Analysis – Visualization Before Analysis – Dirty Data – Visualizing a Single Variable – Examining Multiple Variables – Data Exploration Versus Presentation.
ANSHU RATHOUR
UNIT III-BIG DATA FROM DIFFERENT PERSPECTIVES (6 hours)
UNIT III-BIG DATA FROM DIFFERENT PERSPECTIVES (6 hours) Big data from business Perspective: Introduction of big data-Characteristics of big data-Data in the warehouse and data in Hadoop- Importance of Big data- Big data Use cases: Patterns for Big data deployment. Big data from Technology Perspective: History of Hadoop-Components of Hadoop-Application Development in Hadoop-Getting your data in Hadoop-other Hadoop Component.
UNIT IV – HADOOP DISTRIBUTED FILE SYSTEM ARCHITECTURE (6 hours)
UNIT IV – HADOOP DISTRIBUTED FILE SYSTEM ARCHITECTURE (6 hours) HDFS Architecture – HDFS Concepts – Blocks – NameNode – Secondary NameNode – DataNode – HDFS Federation – Basic File System Operations – Data Flow – Anatomy of File Read – Anatomy of File Write.
UNIT V – PROCESSING YOUR DATA WITH MAPREDUCE (6 hours) Getting t
UNIT V – PROCESSING YOUR DATA WITH MapReduce (6 hours) Getting to know MapReduce – MapReduce Execution Pipeline – Runtime Coordination and Task Management – MapReduce Application – Hadoop Word Count Implementation.
Planning analytics big data
all about ibm Planning analytics big data for be cse students