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Master Big Data Realtime Streaming

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Added 4 years ago by freecoursewb in Other
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Master Big Data Realtime Streaming (Size: 2.5 GB)
  001 Data Transformations.en.srt 2 KB
  001 Data Transformations.mp4 10 MB
  001 Installing Kafka on Mac _ Linux.en.srt 9.7 KB
  001 Installing Kafka on Mac _ Linux.mp4 88.1 MB
  001 Introduction to Apache Druid.en.srt 3.2 KB
  001 Introduction to Apache Druid.mp4 15.5 MB
  001 Introduction to Apache Flink.en.srt 3.9 KB
  001 Introduction to Apache Flink.mp4 14.8 MB
  001 Introduction to Apache Pinot.en.srt 4.9 KB
  001 Introduction to Apache Pinot.mp4 15.3 MB
  001 Introduction to Apache Superset.en.srt 4.4 KB
  001 Introduction to Apache Superset.mp4 25.7 MB
  001 Introduction to Kafka Streams.en.srt 4 KB
  001 Introduction to Kafka Streams.mp4 12.9 MB
  001 Introduction to Spark Streaming.en.srt 3.8 KB
  001 Introduction to Spark Streaming.mp4 17.5 MB
  001 Introduction.en.srt 4.2 KB
  001 Introduction.mp4 9.5 MB
  002 Course Objectives.en.srt 2.2 KB
  002 Course Objectives.mp4 5.6 MB
  002 Creating a Simple Flink Job.en.srt 4.5 KB
  002 Creating a Simple Flink Job.mp4 157.6 MB
  002 Data Aggregations.en.srt 1.6 KB
  002 Data Aggregations.mp4 9.4 MB
  002 Installing Apache Druid on Mac _ Linux.en.srt 8.3 KB
  002 Installing Apache Druid on Mac _ Linux.mp4 71.4 MB
  002 Installing Apache Pinot on Mac _ Linux.en.srt 6.3 KB
  002 Installing Apache Pinot on Mac _ Linux.mp4 46.5 MB
  002 Installing Superset on Mac _ Linux.en.srt 4.5 KB
  002 Installing Superset on Mac _ Linux.mp4 46.6 MB
  002 Introduction to Kafka Basics.en.srt 4 KB
  002 Introduction to Kafka Basics.mp4 9.4 MB
  002 Setting up the Project.en.srt 20.2 KB
  002 Setting up the Project.mp4 190.9 MB
  003 Data Transformation using Kafka Streams.en.srt 22.2 KB
  003 Data Transformation using Kafka Streams.mp4 272 MB
  003 Data Transformation using Spark Streaming.en.srt 20.7 KB
  003 Data Transformation using Spark Streaming.mp4 169.5 MB
  003 Data Transformations Using Flink.en.srt 10.6 KB
  003 Data Transformations Using Flink.mp4 109.1 MB
  003 Exploring Pinot data on Superset.en.srt 8.5 KB
  003 Exploring Pinot data on Superset.mp4 52.8 MB
  003 Helpful Kafka Commands.en.srt 7.6 KB
  003 Helpful Kafka Commands.mp4 49.4 MB
  003 Ingesting data from Kafka into Druid.en.srt 6.2 KB
  003 Ingesting data from Kafka into Druid.mp4 40.4 MB
  003 Ingesting data from Kafka into Pinot.en.srt 11.8 KB
  003 Ingesting data from Kafka into Pinot.mp4 90.7 MB
  003 Walkthrough of the Real Time Pipeline.en.srt 2.1 KB
  003 Walkthrough of the Real Time Pipeline.mp4 6.5 MB
  004 Additional System Requirements Needed.html 1.8 KB
  004 Changes for Druid-Superset Connection.en.srt 7.5 KB
  004 Changes for Druid-Superset Connection.mp4 52.8 MB
  004 Data Aggregation using Kafka Streams.en.srt 16.8 KB
  004 Data Aggregation using Kafka Streams.mp4 189.6 MB
  004 Data Aggregation using Spark Streaming.en.srt 4.5 KB
  004 Data Aggregation using Spark Streaming.mp4 73.9 MB
  004 Generating Data into Kafka.en.srt 7.5 KB
  004 Generating Data into Kafka.mp4 64 MB
  004 Querying data from Druid.en.srt 2 KB
  004 Querying data from Druid.mp4 14 MB
  004 Querying data from Pinot.en.srt 2.1 KB
  004 Querying data from Pinot.mp4 14.2 MB
  004 Writing Output to Kafka.en.srt 7.6 KB
  004 Writing Output to Kafka.mp4 81.8 MB
  005 Data Aggregations Using Flink.en.srt 13.5 KB
  005 Data Aggregations Using Flink.mp4 160.4 MB
  005 Exploring Druid data on Superset.en.srt 7.7 KB
  005 Exploring Druid data on Superset.mp4 51.3 MB
  005 KafkaInstallation.txt 614.4 B
  006 Creating Dashboards on Superset.en.srt 4.3 KB
  006 Creating Dashboards on Superset.mp4 19.7 MB
  006 Installing Flink on Mac _ Linux.en.srt 4.2 KB
  006 Installing Flink on Mac _ Linux.mp4 34.4 MB
  007 HelpfulKafkaCommands.txt 1.1 KB
  007 Running Job On Flink Cluster.en.srt 8 KB
  007 Running Job On Flink Cluster.mp4 67.2 MB
  008 CommandsForDataGenerator.txt 512 B
  008 SacremantoRealEstateTransactions.json 222.4 KB
  008 realEstateTransactionsSource.py 614.4 B
  017 FlinkCommands.txt 307.2 B
  017 PluginForFatJar.xml 512 B
  032 CommandsUsed.txt 614.4 B
  035 SettingSupersetForPinot.txt 1 KB
  037 DruidSupersetIntegration.txt 1.3 KB
  Bonus Resources.txt 307.2 B
  FlinkAggregateApplication$1.class 1.7 KB
  FlinkAggregateApplication$2.class 1.5 KB
  FlinkAggregateApplication.class 5.3 KB
  FlinkAggregateApplication.java 2.9 KB
  FlinkDemo-1.0-SNAPSHOT-jar-with-dependencies.jar 60.2 MB
  FlinkDemo-1.0-SNAPSHOT.jar 22.1 KB
  FlinkDemo.kotlin_module 0 B
  FlinkTransformApplication$1.class 3.8 KB
  FlinkTransformApplication.class 4.1 KB
  FlinkTransformApplication.java 4.2 KB
  Get Bonus Downloads Here.url 204.8 B
  HouseType.class 1.1 KB
  HouseType.java 204.8 B
  InputSchema.txt 819.2 B
  JsonPOJODeserializer.java 921.6 B
  JsonPOJOSerializer.java 819.2 B
  KafkaStreamsAggregateDemo.java 3.8 KB
  KafkaStreamsTransformsDemo.java 5 KB
  RealEstateInputSchema.scala 819.2 B
  RealEstateTransaction.class 7.1 KB
  RealEstateTransaction.java 409.6 B
  RealEstateTransactionAggregate.class 3.1 KB
  RealEstateTransactionAggregate.java 307.2 B
  RealEstateTransactionAggregateSerializationSchema.class 1.5 KB
  RealEstateTransactionAggregateSerializationSchema.java 716.8 B
  RealEstateTransactionDeserializationSchema.class 2 KB
  RealEstateTransactionDeserializationSchema.java 921.6 B
  RealEstateTransactionTransformed$RealEstateTransactionTransformedBuilder.class 4 KB
  RealEstateTransactionTransformed.class 8.9 KB
  RealEstateTransactionTransformed.java 512 B
  RealEstateTransactionTransformedSerializationSchema.class 1.5 KB
  RealEstateTransactionTransformedSerializationSchema.java 716.8 B
  SerdeProvider.java 2.5 KB
  Spark helper commands.txt 1.7 KB
  SparkAggregateDemo.scala 1.8 KB
  SparkTransformDemo.scala 2.4 KB
  _pom.xml 204.8 B
  codeStyleConfig.xml 102.4 B
  compiler.xml 614.4 B
  createdFiles.lst 819.2 B
  inputFiles.lst 0 B
  misc.xml 512 B
  pom.properties 102.4 B
  pom.txt 2.5 KB
  pom.xml 2.5 KB
  real_estate_transaction_kstreams_schema.json 1.2 KB
  real_estate_transaction_kstreams_table.json 1.1 KB
  scripts.txt 1.7 KB
  serdes 1.5 KB
  udemy course kafka streams commands.txt 1.5 KB
  workspace.xml 5.2 KB
  ▲ 151 total files

Description


Master Big Data Realtime Streaming



MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 39 lectures (4h 51m) | Size: 2.24 GB
Learn the Core Concepts of Big data Realtime Streaming Analytics and also work with Hands On Examples
What you'll learn:
Learn designing an end-to-end Real-time Streaming pipeline for Big Data using latest technologies.
Understand the different components in Big Data streaming pipeline.
Use Kafka as the connecting tool between ETL components in the real-time streaming pipeline.
Use Apache Flink, Spark Streaming and Kafka Streams to perform different transformations and aggregations.
Use Druid and Pinot as OLAP technologies in the streaming pipeline.
Use Superset to visualize the real-time incoming data stream to explore and visualize the transformed data.
Hands-on Practicals helping you build all the components and forming a complete end-to-end pipeline.
Learn multiple technologies used in Real-time Streaming pipelines, and you can use the one that better suits your use-case.

Requirements
An exposure to Big Data world will help you better appreciate Real-time Streaming pipelines, but is completely optional.
Basic knowledge of Java and Scala will be helpful, but not mandatory

Description
Getting real-time insights from huge volumes of data is very important for a majority of companies today.

Big data Real-time streaming is used by some of the biggest companies in the world like e-commerce companies, Video streaming companies, Banks, Ride-hailing companies, etc.

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