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Introduction to Spark 12
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What is Spark 30 minLecture1.1
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Why Spark 30 minLecture1.2
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Who Uses Spark 30 minLecture1.3
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Brief History of Spark 30 minLecture1.4
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Storage Layers for Spark 30 minLecture1.5
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Why Spark is 100 times faster than MapReduce 30 minLecture1.6
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Difference between Spark-1.x and Spark-2.x 30 minLecture1.7
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Unified Stack of Spark 30 minLecture1.8
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Spark Sql 30 minLecture1.9
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Spark Streaming 30 minLecture1.10
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Spark GraphX 30 minLecture1.11
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Spark MLLib 30 minLecture1.12
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Spark Architecture explanation 4
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Master Slave architecture o o o 30 minLecture2.1
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Spark Driver 30 minLecture2.2
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Workers 30 minLecture2.3
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Executors 30 minLecture2.4
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Installation of Spark in different modes 3
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Local mode 30 minLecture3.1
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Pseudo mode 30 minLecture3.2
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Cluster mode 30 minLecture3.3
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Basics of Spark 11
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Creating the Spark ContextLecture4.1
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Creating the Spark ConfLecture4.2
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Creating the Spark SessionLecture4.3
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Configuring Spark Context with Spark ConfLecture4.4
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Caching OverviewLecture4.5
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Distributed PersistenceLecture4.6
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Combine scala and java seamlesslyLecture4.7
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Deploying Applications with spark-submitLecture4.8
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Verify spark jobs in Spark Web UILecture4.9
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SBTLecture4.10
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MAVENLecture4.11
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Resilient Distributed Dataset (RDD) 4
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What is RDDLecture5.1
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Creating RDDsLecture5.2
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RDD OperationsLecture5.3
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Passing Functions to SparkLecture5.4
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Working with Key/Value Pairs 8
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Creating Pair RDDs o Custom PartitionersLecture6.1
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Transformations on Pair RDDsLecture6.2
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– Aggregations o Grouping DataLecture6.3
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– JoinsLecture6.4
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– Sorting DataLecture6.5
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Data PartitioningLecture6.6
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– Determining an RDD’s PartitionerLecture6.7
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– Custom PartitionersLecture6.8
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Loading and Saving Your Data 7
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File FormatsLecture7.1
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– Text, json, csv, tsv, Object filesLecture7.2
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– Hadoop Input and Output FormatsLecture7.3
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Loading Data using RDDLecture7.4
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Saving Data using RDDLecture7.5
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MapReduce and Pair RDD OperationsLecture7.6
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Scala and Hadoop IntegrationsLecture7.7
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Broadcast and Accumulators 6
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Introduction to AccumulatorsLecture8.1
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Practical Examples on AccumulatorsLecture8.2
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Creating Custom AccumulatorsLecture8.3
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Introduction to Broadcast variables o Optimizing BroadcastsLecture8.4
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Practical Examples on Broadcast variablesLecture8.5
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Optimizing BroadcastsLecture8.6
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Working with Spark in different programming languages 12
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Installing PythonLecture9.1
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How to use ‘pyspark’Lecture9.2
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Practical examples on spark in pythonLecture9.3
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Installing ScalaLecture9.4
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How to use ‘spark-shell’Lecture9.5
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Practical examples on spark in ScalaLecture9.6
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Installing JavaLecture9.7
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How to use ‘Java’Lecture9.8
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Practical examples on spark in JavaLecture9.9
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Installing RLecture9.10
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How to use ‘SparkR’Lecture9.11
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Practical examples on spark in RLecture9.12
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Apache Spark SQL 9
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Spark SQL & Hive Architecture explanationLecture10.1
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Working with Spark SQL DataSetsLecture10.2
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Working with Spark SQL DataFramesLecture10.3
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Practice on Spark SQL ContextLecture10.4
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Integrating Spark SQL with o Hive o Phoenix o Cassandra o RDBMSLecture10.5
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Processing different files using Spark o Text o Json o Csv o Tsv o ParquetLecture10.6
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Spark SQL UDFsSpark SQL UDFsLecture10.7
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Spark SQL Performance Tuning OptionsLecture10.8
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JDBC/ODBC ServerLecture10.9
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Apache Spark Streaming 10
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Spark Streaming Architecture explanationLecture11.1
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Creating the Streaming ContextLecture11.2
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Discretized Streams (DStreams)Lecture11.3
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Transformations on DstreamLecture11.4
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Output Operations on DStreamsLecture11.5
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Streaming UI explanationLecture11.6
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Spark Streaming Sources o Basic Sources o Advanced SourcesLecture11.7
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Integrating Spark Streaming with o Flume o Kafka o Twitter o HDFSLecture11.8
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Performance ConsiderationsLecture11.9
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Practical examples on Spark StreamingLecture11.10
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Apache Spark MLib 4
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Machine Learning BasicsLecture12.1
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Machine Learning Algorithms o Classification o Clustering o Collaborative FilteringLecture12.2
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Performance ConsiderationsLecture12.3
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Practical examples on Spark MLibLecture12.4
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Apache Spark Graphx 2
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Introduction to Spark GraphxLecture13.1
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Practical Examples on Spark GraphxLecture13.2
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Apache Mesos 3
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Introduction to Apache MesosLecture14.1
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Apache Mesos Architecture explanationLecture14.2
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Practical Examples on Apache MesosLecture14.3
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Apache Mahout 3
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Introduction to Apache MahoutLecture15.1
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Apache Mahout Architecture explanationLecture15.2
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Practical Examples on Apache MahoutLecture15.3
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Apache Storm 3
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Introduction to Apache StormLecture16.1
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Apache Storm Architecture explanationLecture16.2
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Practical Examples on Apache StormLecture16.3
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Apache Kafka 4
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Introduction to Apache KafkaLecture17.1
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Installing Apache KafkaLecture17.2
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Apache Kafka Architecture explanationLecture17.3
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Practical Examples on Apache KafkaLecture17.4
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Apache FLUME 4
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Introduction to flumeLecture18.1
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Flume installationLecture18.2
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Flume Architecture o Agent o Sources o Channels o SinksLecture18.3
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Practical Examples on FlumeLecture18.4
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Apache Phoenix 4
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Introduction to PhoenixLecture19.1
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Installing PhoenixLecture19.2
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Integrating with HbaseLecture19.3
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Practical Examples on PhoenixLecture19.4
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Apache Cassandra 3
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Introduction to CassandraLecture20.1
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Installing CassandraLecture20.2
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Practical Examples on CassandraLecture20.3
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Apache Drill 3
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Introduction to Drill Lecture21.1
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Installing DrillLecture21.2
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Practical Examples on DrillLecture21.3
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Apache Zeppelin 4
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Introduction to ZeppelinLecture22.1
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Installing ZeppelinLecture22.2
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Practical Examples on ZeppelinLecture22.3
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Data Visualization using ZeppelinLecture22.4
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Play Framework 4
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Introduction to Play FrameworkLecture23.1
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Installing Play FrameworkLecture23.2
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Practical Examples on Play FrameworkLecture23.3
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Spark Project using Play FrameworkLecture23.4
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Introduction of Scala 6
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What is Scala?Lecture24.1
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Why Scala?Lecture24.2
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Advantages of Scala?Lecture24.3
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Using the Scala REPL(Read Evaluate print loop)Lecture24.4
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What is Type InferenceLecture24.5
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Interoperability between Scala and JavaLecture24.6
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Scala using Command Line 4
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Installing Java & ScalaLecture25.1
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Interactive ScalaLecture25.2
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Writing Scala ScriptsLecture25.3
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Compiling Scala ProgramsLecture25.4
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Basics of Scala 4
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Defining VariablesLecture26.1
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Defining FunctionsLecture26.2
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String InterpolationLecture26.3
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IDE for ScalaLecture26.4
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Scala Type Less, Do More 11
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SemicolonsLecture27.1
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Variable DeclarationsLecture27.2
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Method DeclarationsLecture27.3
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Type InferenceLecture27.4
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ImmutabilityLecture27.5
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Reserved WordsLecture27.6
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OperatorsLecture27.7
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Precedence RulesLecture27.8
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LiteralsLecture27.9
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OptionsLecture27.10
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Arrays, Lists, Ranges, TuplesLecture27.11
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Expressions and Conditionals 10
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If expressionsLecture28.1
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If-Else expressionsLecture28.2
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Match ExpressionsLecture28.3
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For LoopsLecture28.4
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While LoopsLecture28.5
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Do-While LoopsLecture28.6
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Conditional OperatorsLecture28.7
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EnumerationsLecture28.8
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Pattern MatchingLecture28.9
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Using try, catch, and finally ClausesLecture28.10
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Functional Programming in Scala 10
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What is Functional Programming?Lecture29.1
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Functional Literals and ClosuresLecture29.2
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RecursionsLecture29.3
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Tail CallsLecture29.4
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CurryingLecture29.5
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Functional Data StructuresLecture29.6
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Sequences,Maps,SetsLecture29.7
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TraversingLecture29.8
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Traversal, Mapping, Filtering, Folding and ReducingLecture29.9
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Call by Name, Call by ValueLecture29.10
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Object-Oriented Programming in Scala 10
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Class and Object BasicsLecture30.1
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Value ClassesLecture30.2
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Parent TypesLecture30.3
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Constructors in ScalaLecture30.4
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Fields in ClassesLecture30.5
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Nested TypesLecture30.6
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Traits as MixinsLecture30.7
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Stackable TraitsLecture30.8
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Creating TraitsLecture30.9
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Visibility RulesLecture30.10
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Scala for Big Data 4
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Improving MapReduce with ScalaLecture31.1
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Moving Beyond MapReduceLecture31.2
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Categories for MathematicsLecture31.3
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A List of Scala-Based Data ToolsLecture31.4
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Spark with Big Data Integrations: 6
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Spark and Hive integrationLecture32.1
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Saprk and Phoenix integrationLecture32.2
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Spark and Cassandra integrationLecture32.3
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Spark and Flume integrationLecture32.4
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Spark and Kafka integraionLecture32.5
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Spark and RDBMS integrationLecture32.6
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Real Time Big Data Projects 4
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Who Uses Spark
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best training institute for Big Data(Hadoop) in marathahalli, bangalore.