MASTER BIG DATA: HADOOP & SPARK (CCA 175 WITH PRACTICE TEST)
Apache SparkOnline Courses
Graduates and Technology Aspirants
Online and Classroom Sessions
Week Days and Week Ends
1.5 hrs in weekdays and 3hrs during Weekend
•How to Get Certified in Apache Spark .
•Learn how to perform cross-validation in Apache Spark .
•Learn how to build an app in Apache Spark .
•How to Make and design Web apps Using Apache Spark .
•From A-Z: The Complete Beginners-Advanced Masterclass – Learn Apache Spark
•Discuss all the principles of Apache Spark and demonstrate though Assignment.
•You will learn how to draw different Apache Spark entities through code.
•Learn all the topics from Apache Spark from the basics to advanced topics
•Learn Apache Spark from beginner to advanced level. Learn with examples and interactive sessions.
•We are Known for High-Quality Training
•Training by Industry expert professionals
•Highly competent and skilled IT instructors
•Trainer support after completion of the course
•60+ Hours of Intensive Classroom & Online Sessions
•Repeating of lectures allowed (based on seat availability)
•Training time : Week Day / Week End – Any Day Any Time – Students can come and study
• Our dedicated HR department will help you search jobs as per your module & skill set, thus, drastically reducing the job search time
•.Net Developer, SilverLight, MVC3, Entity Framework 4, WCF, SQL/PLSQL, c#, SQL Server 2008, HTML5, .Net
•HR, HR Manager, Human Resource Manager, HR Generalist, Cognos, BI Developer, OBIEE, Tableau, qlikview, Data Modeling, Dimensional Modeling, Asp.net
•java, .net, php, Software Testing, Automation Testing, oracle, sap, msbi, tableau, networking, Linux Administration, storage, full stack developer, devops
•SAP CRM, SAP BI/BW, SAP FICO, .NET/MVC, JAVA/Spring, Mobile Apps Developer, IOS Developer, ETL Testing, VSTS Testing, Oracle ERP Support, Peoplesoft
•Software Developer, IBM MDM, QA, Business Anlaysit, Business Analyst, Software Engineer, Java, Informatica, DataStage, Project Mangement
In this course, you will start by learning what is hadoop distributed file system and most common hadoop commands required to work with Hadoop File system. Then you will be introduced to Sqoop Import Understand lifecycle of sqoop command. Use sqoop import command to migrate data from Mysql to HDFS. Use sqoop import command to migrate data from Mysql to Hive. Use various file formats, compressions, file delimeter,where clause and queries while importing the data. Understand split-by and boundary queries. Use incremental mode to migrate the data from Mysql to HDFS. Further, you will learn Sqoop Export to migrate data. What is sqoop export Using sqoop export, migrate data from HDFS to Mysql. Using sqoop export, migrate data from Hive to Mysql. Further, you will learn about Apache Hive Hive Intro External & Managed Tables Working with Different Files – Parquet,Avro Compressions Hive Analysis Hive String Functions Hive Date Functions Partitioning Bucketing Further, you will learn about Apache Spark Spark Intro Cluster Overview RDD DAG/Stages/Tasks Actions & Transformations Transformation & Action Examples Spark Data frames Spark Data frames – working with diff File Formats & Compression Dataframes API’s Spark SQL Dataframe Examples Further section will have CCA175 Practice Tests with explanations CCA175 practice test1 CCA175 practice test1 explanations CCA175 practice test2 CCA175 practice test2 explanations Finally, we will start with our last section Apache Flume Understand Flume Architecture. Using flume, Ingest data from Twitter and save to HDFS. Using flume, Ingest data from netcat and save to HDFS. Using flume, Ingest data from exec and show on console. Describe flume interceptors and see examples of using interceptors. Flume multiple agents Flume Consolidation.