Course Details: Course Objective Summary During this course, you will learn: Introduction to Big Data and Analytics Introduction to Hadoop Hadoop ecosystem - Concepts Hadoop Map-reduce concepts and features Developing the map-reduce Applications Pig concepts Hive concepts Sqoop concepts Flume Concepts Oozie workflow concepts Impala Concepts Hue Concepts HBASE Concepts ZooKeeper Concepts Real Life Use Cases Reporting Tool Tableau 1. Virtualbox/VM Ware Basics Installations Backups Snapshots 2. Linux Basics Installations Commands 3. Hadoop Why Hadoop? Scaling Distributed Framework Hadoop v/s RDBMS Brief history of hadoop 4. Setup hadoop Pseudo mode Cluster mode Ipv6 Ssh Installation of java, hadoop Configurations of hadoop Hadoop Processes ( NN, SNN, JT, DN, TT) Temporary directory UI Common errors when running hadoop cluster, solutions 5. HDFS- Hadoop distributed File System HDFS Design and Architecture HDFS Concepts Interacting HDFS using command line Interacting HDFS using Java APIs Dataflow Blocks Replica 6. Hadoop Processes Name node Secondary name node Job tracker Task tracker Data node 7. Map Reduce Developing Map Reduce Application Phases in Map Reduce Framework Map Reduce Input and Output Formats Advanced Concepts Sample Applications Combiner 8. Joining datasets in Mapreduce jobs Map-side join Reduce-Side join 9. Map reduce – customization Custom Input format class Hash Partitioner Custom Partitioner Sorting techniques Custom Output format class 10. Hadoop Programming Languages :- I.HIVE Introduction Installation and Configuration Interacting HDFS using HIVE Map Reduce Programs through HIVE HIVE Commands Loading, Filtering, Grouping…. Data types, Operators….. Joins, Groups…. Sample programs in HIVE II. PIG Basics Installation and Configurations Commands…. OVERVIEW HADOOP DEVELOPER 11. Introduction 12. The Motivation for Hadoop Problems with traditional large-scale systems Requirements for a new approach 13. Hadoop: Basic Concepts An Overview of Hadoop The Hadoop Distributed File System Hands-On Exercise How MapReduce Works Hands-On Exercise Anatomy of a Hadoop Cluster Other Hadoop Ecosystem Components 14. Writing a MapReduce Program The MapReduce Flow Examining a Sample MapReduce Program Basic MapReduce API Concepts The Driver Code The Mapper The Reducer Hadoop’s Streaming API Using Eclipse for Rapid Development Hands-on exercise The New MapReduce API 15. Common MapReduce Algorithms Sorting and Searching Indexing Machine Learning With Mahout Term Frequency – Inverse Document Frequency Word Co-Occurrence Hands-On Exercise. 16.PIG Concepts.. Data loading in PIG. Data Extraction in PIG. Data Transformation in PIG. Hands on exercise on PIG. 17. Hive Concepts. Hive Query Language. Alter and Delete in Hive. Partition in Hive. Indexing. Joins in Hive.Unions in hive. Industry specific configuration of hive parameters. Authentication & Authorization. Statistics with Hive. Archiving in Hive. Hands-on exercise 18. Working with Sqoop Introduction. Import Data. Export Data. Sqoop Syntaxs. Databases connection. Hands-on exercise 19. Working with Flume Introduction. Configuration and Setup. Flume Sink with example. Channel. Flume Source with example. Complex flume architecture. 20. OOZIE Concepts 21. IMPALA Concepts 22. HUE Concepts 23. HBASE Concepts 24. ZooKeeper concepts Reporting Tool.. Tableau This course is designed for the beginner to intermediate-level Tableau user. It is for anyone who works with data – regardless of technical or analytical background. This course is designed to help you understand the important concepts and techniques used in Tableau to move from simple to complex visualizations and learn how to combine them in interactive dashboards. Course Topics Overview What is visual analysis? strengths/weakness of the visual system. Laying the Groundwork for Visual Analysis Analytical Process Preparing for analysis Getting, Cleaning and Classifying Your Data Cleaning, formatting and reshaping. Using additional data to support your analysis. Data classification Visual Mapping Techniques Visual Variables : Basic Units of Data Visualization Working with Color Marks in action: Common chart types Solving Real-World Problems with Visual Analysis Getting a Feel for the Data- Exploratory Analysis. Making comparisons Looking at (co-)Relationships. Checking progress. Spatial Relationships. Try, try again. Communicating Your Findings Fine-tuning for more effective visualization Storytelling and guided analytics Dashboards
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RIZE trainers assist in developing Real time experience of the required course and also improving interview skills, knowledge, communication, content of the course, innovative project ideas, future scope etc,. This makes our students are becoming future experts and working as professionals in top rated companies.
The course begins in a few days, and I still do not have my login information. What do I do? Once your registration for a course is completed, we will send activation link to start your sessions. What happens if I miss my training date, do I have any options? In case you miss training date, we will send recorded sessions to you. Otherwise, we assign for next live batch. How does the online training work? All of our online courses are live instructor led online courses. You will have the ability to interact directly with the trainer. Once registered for a class you will receive detailed instructions on how to access your class. How do I receive the course materials? You receive a link to download the course materials when you register. Our trainers assist you in your assessments, case studies, sample projects, interview skills etc; Will I be able to view the sessions again at a later time? Yes, We provide recorded sessions. Who are your trainers? All our trainers are working professionals from the Industry and have at least 10-12 yrs of relevant experience in various domains. They are subject matter experts. So that participants get a great learning experience. Can I get the same in-class experience at home or work? Yes. You can attend courses anywhere that has an Internet connection. If you choose to participate from your home or workplace, you must validate your own equipment to ensure it meets the required specifications. What should I bring to class? You need to have your course materials, Internet, computer headset and the Link to your Rizetrainings classroom e-mail, which contains the link and LOGIN credentials you need to take your course. Where can I get more information? If you need more information, please call us at +91-970 39 767 53 or send mail to firstname.lastname@example.org . Rize Trainings Advisors will be happy to assist you. Do you offer placements? We help our customers for preparing their resumes, work on sample live projects and provide assistance for interview preparation. We don't offer any placements however if you go through the course diligently and complete the project you will have a very good hands on experience to work on a Live project. What happens if I have technical problems during my class? If you have technical difficulties, you call us at +91-970 39 767 53. Our support team will resolve any issues you might encounter.