Big Data Processing with Apache Spark and Scala

Big Data Processing with Apache Spark and Scala Big Data Processing with Apache Spark Scala Back Home Categories Online Courses Mock Interviews Webinars NEW Community Write for Us Categories Artificial Intelligence AI vs Machine Learning vs Deep LearningMachine Learning AlgorithmsArtificial Intelligence TutorialWhat is Deep LearningDeep Learning TutorialInstall TensorFlowDeep Learning with PythonBackpropagationTensorFlow TutorialConvolutional Neural Network TutorialVIEW ALL BI and Visualization What is TableauTableau TutorialTableau Interview QuestionsWhat is InformaticaInformatica Interview QuestionsPower BI TutorialPower BI Interview QuestionsOLTP vs OLAPQlikView TutorialAdvanced Excel Formulas TutorialVIEW ALL Big Data What is HadoopHadoop ArchitectureHadoop TutorialHadoop Interview QuestionsHadoop EcosystemData Science vs Big Data vs Data AnalyticsWhat is Big DataMapReduce TutorialPig TutorialSpark TutorialSpark Interview QuestionsBig Data TutorialHive TutorialVIEW ALL Blockchain Blockchain TutorialWhat is BlockchainHyperledger FabricWhat Is EthereumEthereum TutorialB lockchain ApplicationsSolidity TutorialBlockchain ProgrammingHow Blockchain WorksVIEW ALL Cloud Computing What is AWSAWS TutorialAWS CertificationAzure Interview QuestionsAzure TutorialWhat Is Cloud ComputingWhat Is SalesforceIoT TutorialSalesforce TutorialSalesforce Interview QuestionsVIEW ALL Cyber Security Cloud SecurityWhat is CryptographyNmap TutorialSQL Injection AttacksHow To Install Kali LinuxHow to become an Ethical Hacker?Footprinting in Ethical HackingNetwork Scanning for Ethical HackingARP SpoofingApplication SecurityVIEW ALL Data Science Python Pandas TutorialWhat is Machine LearningMachine Learning TutorialMachine Learning ProjectsMachine Learning Interview QuestionsWhat Is Data ScienceSAS TutorialR TutorialData Science ProjectsHow to become a data scientistData Science Interview QuestionsData Scientist SalaryVIEW ALL Data Warehousing and ETL What is Data WarehouseDimension Table in Data WarehousingData Warehousing Interview QuestionsData warehouse architectureTalend T utorialTalend ETL ToolTalend Interview QuestionsFact Table and its TypesInformatica TransformationsInformatica TutorialVIEW ALL Databases What is MySQLMySQL Data TypesSQL JoinsSQL Data TypesWhat is MongoDBMongoDB Interview QuestionsMySQL TutorialSQL Interview QuestionsSQL CommandsMySQL Interview QuestionsVIEW ALL DevOps What is DevOpsDevOps vs AgileDevOps ToolsDevOps TutorialHow To Become A DevOps EngineerDevOps Interview QuestionsWhat Is DockerDocker TutorialDocker Interview QuestionsWhat Is ChefWhat Is KubernetesKubernetes TutorialVIEW ALL Front End Web Development What is JavaScript â€" All You Need To Know About JavaScriptJavaScript TutorialJavaScript Interview QuestionsJavaScript FrameworksAngular TutorialAngular Interview QuestionsWhat is REST API?React TutorialReact vs AngularjQuery TutorialNode TutorialReact Interview QuestionsVIEW ALL Mobile Development Android TutorialAndroid Interview QuestionsAndroid ArchitectureAndroid SQLite DatabaseProgramming Scala Last updated on May 22,2019 1.6K Views edureka Bookmark Become a Certified Professional IST: 7:00 AM 08:00 AM, 17th October14PDT: 6:30 PM 7:30 PM, 16th October 14Limited seats!! Fill in the form on the right and book your slot today.Hi all, we are conducting a Free Webinar on Apache Spark and Scala on 18th October14. The title of the webinar isBig Data Processing with Apache Spark and Scala.In this webinar, the essential topics regarding Apache Spark and Scala will be discussed.Any queries or doubts can be clarified during the session.Topics to be Covered:What is Big Data?What is Spark?Why Spark?Spark EcosystemA Note about ScalaWhy Scala?Hello Spark Hands onWhy Spark?Apache Spark is an open-source cluster computing framework for Hadoop community clusters. It qualifies to be one of the best data analytics and processing engines for large-scale data with its unmatchable speed, ease of use, and sophisticated analytics. Following are the advantages and features that make Apache Spark a crossover hit for operational as well as investigative analytics:The programs developed over Spark run 100 times faster than those developed in Hadoop MapReduce.Spark compiles 80 high-level operators.Spark Streaming enables real-time data processing.GraphX is a library for graphical computations.MLib is the machine learning library for Spark.Primarily written in Scala, Spark can be embedded in any JVM-based operational system, at the same time can also be used in REPL (Read, Evaluate, Process and Load) way.It has powerful caching and disk persistence capabilities.Spark SQL allows it to proficiently handle SQL queriesApache Spark can be deployed through Apache Mesos, Yarn in HDFS, HBase, Cassandra, or Spark Cluster Manager (Sparks own cluster manager).Spark simulates Scalas functional style and collections API, which is a great advantage to Scala and Java developers.Need for Apache Spark:Spark is rendering immense benefits to the industry in terms of speed, variety of tasks it can perform, fl exibility, quality data analysis, cost-effectiveness, etc., which are the needs of the day. It delivers high-end, real-time big data analytics solutions to the IT industry, meeting the rising customer demand. Real-time analytics leverages business capabilities to heaps. Its compatibility with Hadoop makes it very easy for the companies to quickly adopt it. There is a steep need for Spark-learned experts and developers, as this is a relatively new technology, which is being increasingly adopted.Learn more about Apache Spark ScalaRecommended videos for you Logistic Regression In Data Science Watch Now What is Apache Storm all about? 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