HadoopBig Data Hadoop Training Course is curated by Hadoop industry experts, and it covers in-depth knowledge on Big Data and Hadoop Ecosystem tools such as HDFS, YARN, MapReduce, Hive, Pig, HBase, Spark, Oozie, Flume and Sqoop.Understanding Big Data and HadoopHadoop Architecture and HDFSHadoop MapReduce FrameworkAdvanced Hadoop MapReduceApache PigApache HiveAdvanced Apache Hive and HBaseAdvanced Apache HBaseProcessing Distributed Data with Apache SparkOozie and Hadoop ProjectCertification Project
Spark:PySpark Certification Training is designed to provide you the knowledge and skills that are required to become a successful Spark Developer using Python and prepare you for the Cloudera Hadoop and Spark Developer Certification Exam (CCA175). Throughout the PySpark Training, you will get an in-depth knowledge of Apache Spark and the Spark Ecosystem, which includes Spark RDD, Spark SQL, Spark MLlib and Spark Streaming. You will also get comprehensive knowledge of Python Programming language, HDFS, Sqoop, Flume, Spark GraphX and Messaging System such as Kafka.Introduction to Big Data Hadoop and SparkIntroduction to Python for Apache SparkFunctions, OOPs, and Modules in PythonDeep Dive into Apache Spark FrameworkPlaying with Spark RDDsDataFrames and Spark SQLMachine Learning using Spark MLlibDeep Dive into Spark MLlibUnderstanding Apache Kafka and Apache FlumeApache Spark Streaming - Processing Multiple BatchesApache Spark Streaming - Data Sources
Apache Spark and Scala Certification Training is designed to prepare you for the Cloudera Hadoop and Spark Developer Certification Exam (CCA175). You will get an in-depth knowledge on Apache Spark and the Spark Ecosystem, which includes Spark RDD, Spark SQL, Spark MLlib and Spark Streaming. You will get comprehensive knowledge on Scala Programming language, HDFS, Sqoop, FLume, Spark GraphX and Messaging System such as Kafka.Introduction to Big Data Hadoop and SparkIntroduction to Scala for Apache SparkFunctional Programming and OOPs Concepts in ScalaDeep Dive into Apache Spark FrameworkPlaying with Spark RDDsDataFrames and Spark SQLMachine Learning using Spark MLlibDeep Dive into Spark MLlibUnderstanding Apache Kafka and Apache FlumeApache Spark Streaming - Processing Multiple BatchesApache Spark Streaming - Data Sources
NoSQLMongoDB is a distributed Database at its core, so high availability, horizontal scaling, and geographic distribution are built in and easy to use. This training will help you master the leading document-oriented NoSQL database, MongoDB Architecture, CRUD, Schema Design, Data Modelling and Indexing using real-life case studies.Introduction to MongoDB - Architecture and InstallationSchema Design and Data ModellingCRUD OperationsIndexing and Aggregation FrameworkMongoDB AdministrationScalability and AvailabilityMongoDB SecurityApplication Engineering and MongoDB ToolsMongoDB on the CloudDiagnostics and Fixes