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31:56

Download PySpark RDD Tutorial | PySpark Tutorial for Beginners | PySpark Online Training | Edureka mp4 download free video

** PySpark Certification Training s www edureka co pyspark-certification-training ** This Edureka video on "PySpark RDD"" will provide you with a detailed and comprehensive knowledge of RDD, which are considered the backbone of Apache Spark You will learn about the various Transformations and actions that can be performed on RDDs This video covers the following topics 1 Need for RDDs 2 What are RDDs 3 PySpark RDD features 4 PySpark RDD Operations 5 Finding Page Rank - PySpark Demo -------------------------------------------- About the Course Edureka’s PySpark Certification Training is designed to provide you with 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 ---------------------------------------------- Spark Certification Training is designed by industry experts to make you a Certified Spark Developer The PySpark Course offers Overview of Big Data & Hadoop including HDFS (Hadoop Distributed File System), YARN (Yet Another Resource Negotiator) Comprehensive knowledge of various tools that fall in Spark Ecosystem like Spark SQL, Spark MlLib, Sqoop, Kafka, Flume and Spark Streaming The capability to ingest data in HDFS using Sqoop & Flume, and analyze those large datasets stored in the HDFS The power of handling real-time data feeds through a publish-subscribe messaging system like Kafka The exposure to many real-life industry-based projects which will be executed using Edureka’s CloudLab Projects which are diverse in nature covering banking, telecommunication, social media, and government domains Rigorous involvement of an SME throughout the Spark Training to learn industry standards and best practices --------------------------------------------------- Who should go for this course? The market for Big Data Analytics is growing tremendously across the world and such a strong growth pattern followed by market demand is a great opportunity for all IT Professionals Here are a few Professional IT groups, who are continuously enjoying the benefits and perks of moving into the Big Data domain Developers and Architects BI ETL DW Professionals Senior IT Professionals Mainframe Professionals Freshers Big Data Architects, Engineers and Developers Data Scientists and Analytics Professionals ------------------------------------------------------- There are no such prerequisites for Edureka’s PySpark Training Course However, prior knowledge of Python Programming and SQL will be helpful but is not at all mandatory -------------------------------------------------------- For more information, please write back to us at sales@edureka co or call us at IND 9606058406 US 18338555775 (toll free) Facebook s www facebook com edurekaIN Twitter s twitter com edurekain LinkedIn s www linkedin com company ed

26:25

Download What Is RDD In Spark? | Apache Spark RDD Tutorial | Apache Spark Training | Edureka mp4 download free video

*** Apache Spark and Scala Certification Training s www edureka co apache-spark-scala-training *** This Edureka video on "RDD Using Spark" will provide you the detailed and comprehensive knowledge about RDD, which are considered to be the backbone of Apache Spark You will learn about the various Transformations and Actions that can be performed on RDDs This video will cover the following topics Need for RDDs What are RDDs? Features of RDDs Creation of RDDs using Spark Operations performed on RDDs RDDs using Spark Pokemon Use Case Blog Series bit ly 2VRogGx Complete Apache Spark and Scala playlist bit ly 2In8IXD -------------------------------------------------------------------------------------- Subscribe to our channel to get video updates Hit the subscribe button above s goo gl 6ohpTV Instagram s www instagram com edureka_learning Slideshare s www slideshare net EdurekaIN Facebook s www facebook com edurekaIN Twitter s twitter com edurekain LinkedIn s www linkedin com company edureka -------------------------------------------------------------------------------------- About the course Apache Spark Certification Training Course is designed to provide you with the knowledge and skills to become a successful Big Data & Spark Developer This Training would help you to clear the CCA Spark and Hadoop Developer (CCA175) Examination You will understand the basics of Big Data and Hadoop You will learn how Spark enables in-memory data processing and runs much faster than Hadoop MapReduce You will also learn about RDDs, Spark SQL for structured processing, different APIs offered by Spark such as Spark Streaming, Spark MLlib This course is an integral part of a Big Data Developer’s Career path It will also encompass the fundamental concepts such as data capturing using Flume, data loading using Sqoop, a messaging system like Kafka, etc -------------------------------------------------------------------------------------- Why should you go for Online Spark Training? Spark is one of the most growing and widely used tools for Big Data & Analytics It has been adopted by multiple companies falling into various domains around the globe and therefore, offers promising career opportunities In order to take part in this kind of opportunities, you need a structured training that is aligned as per Cloudera Hadoop and Spark Developer Certification (CCA175) and current industry requirements and best practices Besides strong theoretical understanding, it is quite essential to have a strong hands-on experience Hence, during the Edureka’s Spark and Scala course, you will be working on various industry-based use-cases and projects incorporating big data and spark tools as a part of the solution strategy Additionally, all your doubts will be addressed by the industry professional, currently working on real-life big data and analytics projects -------------------------------------------------------------------------------------- What are the skills that you will be learning with our Spark Certification Training? The Edureka’s Spark Training is designed to help you become a successful Spark developer During this course, our expert instructors will train you to- Write Scala Programs to build Spark Application Master the concepts of HDFS Understand Hadoop 2 x Architecture Understand Spark and its Ecosystem Implement Spark operations on Spark Shell Implement Spark applications on YARN (Hadoop) Write Spark Applications using Spark RDD concepts Learn data ingestion using Sqoop Perform SQL queries using Spark SQL Implement various machine learning algorithms in Spark MLlib API and Clustering Explain Kafka and its components Understand Flume and its components Integrate Kafka with real-time streaming systems like Flume Use Kafka to produce and consume messages Build a Spark Streaming Application Process Multiple Batches in Spark Streaming Implement different streaming data sources -------------------------------------------------------------------------------------- Who should go for our Spark Training Course? The market for Big Data Analytics is growing tremendously across the world and such a strong growth pattern followed by market demand is a great opportunity for all IT Professionals Here are a few Professional IT groups, who are continuously enjoying the benefits and perks of moving into the Big-Data domain Developers and Architects BI ETL DW Professionals Senior IT Professionals Testing Professionals Mainframe Professionals Freshers Big Data Enthusiasts Software Architects, Engineers, and Developers Data Scientists and Analytics Professionals -------------------------------------------------------------------------------------- For more information, Please write back to us at sales@edureka co or call us at IND 9606058406 US 18338555775 (toll

12:7

Download RDD vs Dataframe vs Dataset | Spark Interview Question Series | Spark tutorial | Dataframe | Dataset mp4 download free video

This video is the part of Spark interview questions and answers series 2019 In this video we have gone through several metrics to find the differences between RDD, Dataframe and Dataset We have discussed these three APIs based on the metrics like API,Available to languages ,Records representation within these APIs,Type safety,Serialization,Garbage collection overhead,Auto code optimization,Auto space efficiency, efficiency in terms of memory usage and control over the placement of partitions over the cluster I hope this video will be able to give you deep insight about RDD vs Dataframe vs Datasets and you would be able to answer in a better way if this question (comparison between RDD Dataframe and Dataset) pops up in Spark interview Our aim is to make difference in your learning Kindly subscribe to my channel and stay connected Thanks so much About channel --------------------- We are trying to make video series on technical interview questions on various skills for experienced and freshers This is based on the industry experience We are trying to compile all the possible questions with answers and give you the core concepts of the topic We will present a series on tutorial on various skill sets as well Our first tutorial will be on Apache Spark and we will present it soon Our aim is to make a difference in your learning Please subscribe to our channel and stay connected Thank you so much e-mail - mannabunty3@gmail com Parquet with Spark s youtu be I4lxC_ShB_M -------------------------------- Type safety in Dataframe vs Dataset - Part 2 s youtu be hKMaB6-bakA ---------------------------------------------------------------------- Type safety in Dataframe vs Dataset - Part 1 s youtu be JRJzxdrj7YU ---------------------------------------------------------------------- Broadcast variable example s youtu be JgoxJmOA-e8 --------------------------------------------- Broadcast variable vs Normal variable s youtu be U2hYRKb7pZ8 ------------------------------------------------------------- toDF() vs createDataFrame() s youtu be MDMiPZbI37M ---------------------------------------------- User defined function Part -1 s youtu be SHiZzB4n46A --------------------------------------------- User defined function Part - 2 s youtu be lpk8shmjRdE ---------------------------------------------- Dataframe s youtu be qbA8lt8g36g ----------------- What is Apache Spark s youtu be nMPBZX_Y7R4 -------------------------------

2:58

Download Rdd Architecture In Spark mp4 download free video

✓ In this Week of Project CORE, from the exciting part of E-commerce section we would see how Hadoop works, if you have not enrolled in Project CORE then limited availability link here with 80% off ✓ s www ui5cn com courses project-core?coupon mygift ✓ Below are the topics covered in this Spark Architecture Tutorial in Project CORE Sprint 2 and 3 1) How Spark is Built by using Python Programming language 2) Spark Context 3) Master-Slave Architecture 4) RDD in Details 5) DF in Details ✓ Subscribe to our channel to get video updates s goo gl jAV4zz #SparkArchitecture #HDFSArchitecture #HDFSReadWrite #SparkCommands #HDFSCommands - - - - - - - - - - - - - - ✓ With Project CORE Sprint 2 and 3 1 Master the concepts of HDFS and MapReduce framework 2 Understand how spark is built by using Python Programming Language 3 Setup Hadoop Cluster and Learn its Architecture and commands 4 Learn and Understand Spark 5 Deploy Your Own Cluster on GCP for Free with HDFS utilizing Spark - - - - - - - - - - - - - - ✓Who should go for this course? If you belong to any of the following groups, knowledge of Big Data and Hadoop is crucial for you if you want to progress in your career 1 Analytics professionals 2 SAP® Consultant and Architects 3 Project managers 4 Testing professionals 5 Mainframe professionals 6 Software developers and architects 7 Recent graduates passionate about building successful career in Big Data - - - - - - - - - - - - - - Why Learn Spark? ✓Apache Spark™ is a fast and general engine for large-scale data processing ✓Ease of Use ✓Write applications quickly in Java, Scala, Python, R ✓Spark offers over 80 high-level operators that make it easy to build parallel apps And you can use it interactively from the Scala, Python and R shells ✓Generality Combine SQL, streaming, and complex analytics ✓ Spark powers a stack of libraries including SQL and DataFrames, MLlib for machine learning, GraphX, and Spark Streaming You can combine these libraries seamlessly in the same application ✓Runs Everywhere Spark runs on Hadoop, Mesos, standalone, or in the cloud It can access diverse data sources including HDFS, Cassandra, HBase, and S3 ✓You can run Spark using its standalone cluster mode, on EC2, on Hadoop YARN, or on Apache Mesos Access data in HDFS, Cassandra, HBase, Hive, Tachyon, and any Hadoop data source ✓Community Spark is used in a wide range of organizations to process large datasets ✓Apache Spark is built by a wide set of developers from over 200 companies Since 2009, more than 1000 developers have contributed to S

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