Free Download Data Engineering Master Course: Spark/Hadoop/Kafka/Mongodb
Last updated 5/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 5.65 GB | Duration: 12h 12m
Full Hands on course to become Big Data Engineer: Spark/Kafka/Hadoop/Flume/Hive/Sqoop/MongoDB. Data Engineering course.
What you'll learn
Hadoop Ecosystem, Sqoop, Flume, Hive
Expertise on writing code with Apache Spark
Learn Kafka Fundamentals and using Kafka Connectors
Learn writing queries and client in MongoDB
Learn Data Engineering technologies
Requirements
No
Description
In this course, you will start by learning what is hadoop distributed file system and most common hadoop commands required to work with Hadoop File system.Then you will be introduced to Sqoop Import Understand lifecycle of sqoop command.Use sqoop import command to migrate data from Mysql to HDFS.Use sqoop import command to migrate data from Mysql to Hive.Use various file formats, compressions, file delimeter,where clause and queries while importing the data.Understand split-by and boundary queries.Use incremental mode to migrate the data from Mysql to HDFS.Further, you will learn Sqoop Export to migrate data.What is sqoop exportUsing sqoop export, migrate data from HDFS to Mysql.Using sqoop export, migrate data from Hive to Mysql.Further, you will learn about Apache FlumeUnderstand Flume Architecture.Using flume, Ingest data from Twitter and save to HDFS.Using flume, Ingest data from netcat and save to HDFS.Using flume, Ingest data from exec and show on console.Describe flume interceptors and see examples of using interceptors.Flume multiple agents Flume Consolidation.In the next section, we will learn about Apache HiveHive IntroExternal &? Managed TablesWorking with Different Files - Parquet,AvroCompressionsHive AnalysisHive String FunctionsHive Date FunctionsPartitioningBucketingYou will learn about Apache SparkSpark IntroCluster OverviewRDDDAG/Stages/TasksActions & TransformationsTransformation & Action ExamplesSpark Data framesSpark Data frames - working with diff File Formats & CompressionDataframes API'sSpark SQLDataframe ExamplesSpark with Cassandra IntegrationRunning Spark on Intellij IDERunning Spark on EMRYou will learn about Apache KafkaKafka ArchitecturePartitions and offsetsKafka Producers and ConsumersKafka SerDEsKafka MessagesKafka ConnectorIngesting Data using Kafka ConnectorYou will learn about MongoDBMongoDB UsecasesCRUD OperationsMongoDB OperatorsWorking with ArraysMongoDB with SparkData Engineering Interview PreparationSqoop Interview QuestionsHive Interview QuestionsSpark Interview QuestionsData Engineering common questionsData Engineering Real project questions.
Who want to learn Big data technologies,Who want to become Data Engineers
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