Big Data 2 Days Bootcamp in Irvine, CA

300 Spectrum Center Dr Suite 400,Irvine CA 92618

29 April, 2021

Description

Our classroom training provides you the opportunity to interact with instructors and benefit from face-to-face instruction. Course Description: This big data training course will provide a technical overview of Apache Hadoop for project managers, business managers and data analysts. Students will understand the overall big data space, technologies involved and will get a detailed overview of Apache Hadoop. The course will expose students to real world use cases to comprehend the capabilities of Apache Hadoop. Students will also learn about YARN and HDFS and how to develop applications and analyze Big Data stored in Apache Hadoop using Apache Pig and Apache Hive. Each topic will provide hands on experience to the students. Course Outline: Introduction to Big Data Big Data - beyond the obvious trendsExponentially increasing dataBig data sourcesData warehousing, business intelligence, analytics, predictive statistics, data scienceSurvey of Big Data technologies First generation systemsSecond generation systemsEnterprise searchVisualizing and understanding data with processingNOSQL databasesApache HadoopIntroduction to Hadoop What is Hadoop? Who are the major vendors?A dive into the Hadoop EcosystemBenefits of using HadoopHow to use Hadoop within your infrastructure?Introduction to MapReduce What is MapReduce?Why do you need MapReduce?Using Mapreduce with Java and RubyIntroduction to Yarn What is Yarn?What are the advantages of using Yarn over classical MapReduce?Using Yarn with Java and RubyIntroduction to HDFS What is HDFS?Why do you need a distributed file system?How is a distributed file system different from a traditional file system?What is unique about HDFS when compared to other file systems?HDFS and reliability?Does it offer support for compressions, checksums and data integrity?Data Transformation Why do you need to transform data?What is Pig?Use cases for PigStructured Data Analysis? How do you handle structured data with Hadoop?What is Hive/HCatalog?Use cases for Hive/HCatalogLoading data into Hadoop How do you move your existing data into Hadoop?What is Sqoop?Automating workflows in Hadoop Benefits of AutomationWhat is oozie?Automatically running workflowsSetting up workflow triggersExploring opportunities in your own organization Framing scenariosUnderstanding how to ask questionsTying possibilities to your own business driversCommon opportunitiesReal world examplesHands-on Exercises How to use MapReduce in Hadoop?How to use Yarn within Hadoop?Overview of HDFS commandsHands-on activities with PigHands-on activities with Hive/HCatalogHands-on activities with SqoopDemonstration of OozieTarget Audience: Anybody who is involved with databases, data analysis, wondering how to deal with the mountains of data (anywhere gigabytes of user/log data etc to petabytes will benefit from this program). This course is perfect for: Business AnalystsSoftware EngineersProject ManagersData AnalystsBusiness CustomersTeam LeadersSystem AnalystsNo prior knowledge of big data and/or Hadoop is required for this class. Some prior programming experience is a plus for this class, but not necessary. Learning Objectives: Learn about the big data ecosystemUnderstand the benefits and ROI you can get from your existing dataLearn about Hadoop and how it is transforming the workspaceLearn about MapReduce and Hadoop Distributed File systemLearn about using Hadoop to identify new business opportunitiesLearn about using Hadoop to improve data management processesLearn about using Hadoop to clarify resultsLearn about using Hadoop to expand your data sourcesLearn about scaling your current workflow to handle more users and lower your overall performance costLearn about the various technologies that comprise the Hadoop ecosystemLearn how to write a simple mapreduce job from Java or your favorite programming languageLearn how to use a very simple scripting language to transform your dataLearn how to use a SQL like declarative language to analyze large quantities of dataLearn how to connect your existing data warehouse to the Hadoop ecosystemLearn how to move your data to the Hadoop ecosystemLearn how to move the results of your data analysis to Business Intelligence Tools like TableauxLearn how to automate your workflow using oozieLearn about polyglot persistence and identifying the right tool for the right jobLearn about future trends in Big data and technologies to keep an eye onDiscover tips and tricks behind successful Hadoop deploymentsCourse Agenda: Day 1 Introduction to Big DataIntroduction to HadoopHadoop Distributed File System (HDFS)MapReduceYARNDay 2 PigHiveSqoopOozie