selfpacedtech123 Posted July 24, 2018 Report Posted July 24, 2018 Spark & Scala Course Contents Describe Features of Apache Spark · How Spark fits in Big Data ecosystem · Why Spark & Hadoop fit together Define Spark Components · Driver Program § Spark Context · Cluster Manager · Worker § Executor § Task · Spark RDD § Spark Context · Spark Libraries Load data into Spark · Different data sources and formats § HDFS § Amazon S3 § Local File System § Text § JSON § CSV § Sequence File · Create & Use RDD, Data Frames Apply dataset operations to Resilient Distributed Datasets · Transformation · Actions · Cache Intermediate RDD § Lineage Graph § Lazy Evaluation Use Spark DataFrames for simple queries · Create Data Frame · Spark Interactive shell (Scala & Python) · Spark SQL Define different ways to run your application Build and launch a standalone application · Spark Program Life Cycle · Function of Spark Context · Different Way to Launch Spark Application § Local § Standalone § Hadoop YARN § Apache Mesos · Launch Spark Application § Spark-Submit § Monitor the Spark Job Describe & Create pair RDD · Key-Value pair · Apache Spark vs Apache Hadoop MapReduce · Create RDD from existing non-pair RDD · Create pair RDD by loading certain formats · Create pair RDD from in-memory collection of pairs Apply Operations on pair RDD · Group ByKey · Reduce ByKey · Other Transformations § Joins Control partitioning across nodes · RDD Partition · Types of Partition § Hash Partitioning § Range Partitioning · Benefit of Partitioning · Best Practices More on Data Frames · Explore Data in DataFrames · Create UDFs (user define functions) § UDF with Scala DSL § UDF with SQL · Repartition Data Frames. · Infer Schema by Reflection · DataFrame from database table · DataFrame from JSON Monitor Apache Spark Applications · Spark Execution Model · Debug and Tune Spark Applications Identify Spark Unified Stack Components · Spark SQL · Spark Streaming · Spark MLib · Spark GraphX Benefits of Apache Spark over Hadoop Ecosystem Describe Spark Data pipeline Use Cases · Spark Streaming Architecture · Dstream and a spark streaming application § Define Use Case (Time Series Data) § Basic Steps § Save Data to HBase · Operations on DStream § Transformations § Data Frame and SQL Operations · Define Windowed Operation § Sliding Window § Windowed Computation § Window based Transformation § Window Operations · Fault tolerance of streaming applications § Fault Tolerance in Spark Streaming § Fault Tolerance in Spark RDD § Check pointing Describe Graph X Define Regular, Directed, and property graphs Create a Property Graph Perform Operations on Graphs Describe Apache Spark MLib Describe the Machine Learning Techniques · Classifications · Clustering · Collaborative Filtering Use Collaborative filtering to predict user choice Scala · Introduction · A first example · Expressions and Simple Functions · First Class function · Classes and Objects · Case classes and Pattern matching · Generic types and methods · Lists · For- Comprehension · Mutable State · Computing with Streams · Lazy Values · Implicit Parameters and Conversions · Handley / Milner type Interface · Abstraction for concurrency Contact details: +1 416-834-6577 / +1 201-905-1656 WhatsApp : 9030990003/9000444287 Mail : [email protected]/[email protected] Quote
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