Big Data Analytics (3170722)
31 videos • 14,657 views • by Simplified By Sahitya
Big Data Analytics (3170722) subject in hindi as per Gujarat Technological University (GTU) Syllabus.
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Lec1 MapReduce Features | Counters | Sorting | Big Data Analytics
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Lec2 Map Reduce Features | Joins | Side Data Distribution | Big Data Analytics
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Lec3 Setting Up A Hadoop Cluster | Cluster Specification | Cluster Sizing | Big Data Analytic
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Lec4 Hadoop Cluster Specification | Network Topology | Installing Hadoop | Configuring SSH
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Lec5 Security in Hadoop | Kerberos Ticket Exchange Protocol | Delegation Tokens | BDA
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Lec6 Administrating Hadoop | Monitoring | Maintenance | Big Data Analytics
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Lec7 Hadoop in the Cloud | Advantages & Disadvantages | Bench-marking Hadoop Cluster
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Lec8 Introduction to NoSQL Databases | NoSQL Business Drivers | NoSQL Case Studies
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Lec9 Key Value stores | Types of NoSQL Databases | NoSQL Data Architectural Pattern
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Lec10 Graph Sotres | Types of NoSQL Databases
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Lec11 Column Family Stores | BigTables Stores | Types of NoSQL Databases
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Lec12 Document Stores | Collections | Types of NoSQL Databases
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Lec13 Variations of NoSQL Architectural Patterns | BigData NoSQL Solution
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Lec14 Understanding Types of Big Data Problems | Analyzing Data With Shared Noting Architecture
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Lec15 Distribution Models in NoSQL Databases | Master Slave | Peer to Peer
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Lec16 Four Ways NoSQL Systems Handle Big Data Problem | BDA
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Lec17 Introduction to Apache Pig & Hive
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Lec18 Differentiate Pig & Hive | Pig VS Hive | What are the differences b/w Pig & Hive
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Lec19 Data Processing Operators in Pig | Loading | Filtering | Joining | Sorting | Splitting
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Lec20 Hive Architecture | Hive Service | Hive Clients | HiveQL
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Lec21 Hive Basics | Data Types | Functions & Operators | Querying Data | Views | Joins | Sorting
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Lec22 Introduction to HBase | HBase Data Model | Role of ZooKeeper
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Lec23 IBM InfoSphere BigInsights | IBM InfoSphere Streams
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Lec24 Introduction to Data Analysis With Spark | Spark Stack
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Lec25 Spark In Memory Computing | Cache Persist Methods | Storage Levels of RDD Persist
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Lec26 Resilient Distributed Datasets | RDDs | Features of Spark
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Lec27 What is PySpark | Key Features | The Need of PySpark
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Lec28 Introduction to Data Streams | Sources | Querying Streams & Issues in Processing Streams
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Lec29 Sampling Data in a Stream | General Sampling Problem | Filtering Stream | Bloom Filtering
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Lec30 Counting Distinct Elements in A Stream | Estimating Moments | Dealing with Infinite Streams
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Lec31 Counting Ones in a Window | Decaying Windows
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