- Corporate:
- WAGmob
This ebook provides a quick summary of essential concepts in Big Data and Hadoop by following snack sized chapters: Introduction to Big Data: Introduction to Big Data Sources of Big Data Big Data Characteristics Big Data Analytics The Importance of Big Data Big Data in the Enterprise: Big Data in the Enterprise Data Processing and Analytics: The Old Way Big Data Enterprise Model Building a Big Data Platform Hadoop and Hadoop Infrastructure: Hadoop Why Hadoop? How does Hadoop help? Hadoop Infrastructure How Data Model is Different? How Computing Model is Different? Hadoop framework Hadoop Distributed File System (HDFS): HDFS: Hadoop Distributed File System HDFS: Files and Blocks Replication Hadoop: A master-slave architecture HDFS: Data Placement and Replication MapReduce: MapReduce Typical large data problem MapReduce Paradigm - I Word count example MapReduce Paradigm II MapReduce Jobs and tasks MapReduce: A master-slave architecture MapReduce Programming Model MapReduce word count mapper MapReduce word count reducer MapReduce word count main MapReduce running a job Relationship between MapReduce and HDFS: Relationship between MapReduce and HDFS Clients, Data Nodes, and HDFS Storage MapReduce workloads Hadoop Fault Tolerance Reading/Writing Files Hadoop and Databases: Hadoop and Databases Typical Datacenter Architecture Adding Hadoop to the Mix The Key Benefit Flexibility: Complex Data Processing The Hadoop Implementation: Job Execution Hadoop Data Types Job Configurations Input and Output Formats Scenarios for Using Hadoop and Hadoop Live Use Cases: Scenarios for Using Hadoop Orbitz: Major Online Travel Booking Service Major National Bank Leading North American Retailer Netflix