Big Data with Apache Spark and Java in big data

• Spark Introduction and Basics
  • Spark Fundamentals in big data
  • Components and Architecture in big data
  • Spark and Big Data in big data
  • Spark's Java Main Abstraction: The DataFrame in big data
• Getting Started with Spark
  • Running the First Spark Program in big data
  • Spark Maven Based Projects in big data
  • Enriching the Basic DataFrame Program in big data
  • Deep Dive: Transformations and Data Storage in big data
• DataFrame Basic Operations
  • Working with DataFrame's Schemas in big data
  • Dataset: a DataFrame of POJOs in big data
  • Transformations and Actions in big data
  • Transformations (I): Map and Filter in big data
  • Actions (I): Count, Take, and Collect in big data
  • Deep Dive: Internals of Spark Execution in big data
  • Transformations (II): FlatMap and Distinct in big data
  • Actions (II): Reduce and Aggregate Functions: Max, Min, and Mean in big data
• DataFrame Advanced Operations Data Partitioning and Shuffling
  • Data Partitioning and Shuffling in big data
  • The groupBy and groupByKey methods in big data
  • Joins in big data
  • Sort and OrderBy in big data
  • Union, UnionByName, and DropDuplicates in big data
  • Accumulators and Broadcast Variables in big data
  • UDFs: User-defined Functions in big data
• Spark SQL and Other Functionalities
  • Spark SQL Goodness in big data
  • Schema Manipulation in big data
  • How to Ingest Files: Part I in big data
  • How to Ingest Files: Part II in big data
  • Ingesting Databases in big data
  • Exporting Information in big data
  • Serialization: Working through the Wire in big data
• Building a Big Data Batch Application
  • The Application Architecture Ecosystem in big data
  • Driver Program Design and Project Structure in big data
  • Driver Program and Job Implementation: Part I in big data
  • Driver Program and Job Implementation: Part II in big data
  • Ingestion Job: Part I in big data
  • Ingestion Job: Part II in big data
  • Batch Pipelines and Other Types of Jobs in big data
  • Testing and Spark in big data
• Deployment and Cluster Execution in big data
  • Local and Cluster-based Execution in big data
  • Deploying and Running a Spark Application in big data
• Monitoring and Performance Fundamentalsin big data
  • Interpreting Spark Logs in big data
  • Cluster Monitoring and SparkUI in big data
  • Performance Fundamentals and Recipes in big data