There is no pre-requisite to take this Big Data training and to master Hadoop. But basics of UNIX, SQL and java would be good. At Intellipaat, we provide complimentary UNIX and Java course with our Big Data certification training to brush-up the required skills so that you are good on you Hadoop learning path.
Sydney is the economic and financial hub for the world’s top-notch firms in the entire Asia-Pacific Region. Growing at a swift pace, this city is filled with the companies which are investing heavily into research and analytics. As Big Data is driving most of the industries nowadays, the application of technologies like Hadoop is rising rapidly. Therefore there is a huge scope of Hadoop professionals in this city.
Sydney is one of the most developed cities in Australia inviting investors from across the globe. As data analytics has emerged as a vital operation over past few years, the companies have started paying extra attention towards extracting meaningful insights from these data. As it is possible only through skilled Big Data professionals, the trend for job opportunities is constantly going upwards in this city.
Big data has become the definite way to success in this highly digitized technology world. Since Hadoop is a prominent name in this direction, learning this technology will help the candidates launch their careers in this space.
As part of this training the learners will be carrying out 9 real-time projects based on Hadoop and its components like MapReduce, Hive, Spark, Pig, Oozie, Flume, Weblog analytics, etc. Moreover this training course helps you prepare for CCA175 and CCAH exams through practical lab sessions, assignments and interactive sessions.
Hadoop 2.x Cluster Architecture, Federation and High Availability, A Typical Production Cluster setup, Hadoop Cluster Modes, Common Hadoop Shell Commands, Hadoop 2.x Configuration Files, Cloudera Single node cluster, Hive, Pig, Sqoop, Flume, Scala and Spark.
Introducing Big Data & Hadoop, what is Big Data and where does Hadoop fits in, two important Hadoop ecosystem componentsnamely Map Reduce and HDFS, in-depth Hadoop Distributed File System – Replications, Block Size, Secondary Name node, High Availability, in-depth YARN – Resource Manager, Node Manager.
Hands-on Exercise – Working with HDFS, replicating the data, determining block size, familiarizing with Namenode and Datanode.
Detailed understanding of the working of MapReduce, the mapping and reducing process, the working of Driver, Combiners, Partitioners, Input Formats, Output Formats, Shuffle and Sor
Hands-on Exercise – The detailed methodology for writing the Word Count Program in MapReduce, writing custom partitioner, MapReduce with Combiner, Local Job Runner Mode, Unit Test, ToolRunner, MapSide Join, Reduce Side Join, Using Counters, Joining two datasets using Map-Side Join &Reduce-Side Join
Introducing Hadoop Hive, detailed architecture of Hive, comparing Hive with Pig and RDBMS, working with Hive Query Language, creation of database, table, Group by and other clauses, the various types of Hive tables, Hcatalog, storing the Hive Results, Hive partitioning and Buckets.
Hands-on Exercise – Creating of Hive database, how to drop database, changing the database, creating of Hive table, loading of data, dropping the table and altering it, writing hive queries to pull data using filter conditions, group by clauses, partitioning Hive tables
The indexing in Hive, the Map side Join in Hive, working with complex data types, the Hive User-defined Functions, Introduction to Impala, comparing Hive with Impala, the detailed architecture of Impala
Hands-on Exercise – Working with Hive queries, writing indexes, joining table, deploying external table, sequence table and storing data in another table.
Apache Pig introduction, its various features, the various data types and schema in Hive, the available functions in Pig, Hive Bags, Tuples and Fields.
Hands-on Exercise – Working with Pig in MapReduce and local mode, loading of data, limiting data to 4 rows, storing the data into file, working with Group By,Filter By,Distinct,Cross,Split in Hive.
Introduction to Apache Sqoop, Sqoop overview, basic imports and exports, how to improve Sqoop performance, the limitation of Sqoop, introduction to Flume and its Architecture, introduction to HBase, the CAP theorem.
Hands-on Exercise – Working with Flume to generating of Sequence Number and consuming it, using the Flume Agent to consume the Twitter data, using AVRO to create Hive Table, AVRO with Pig, creating Table in HBase, deploying Disable, Scan and Enable Table.
Using Scala for writing Apache Spark applications, detailed study of Scala, the need for Scala, the concept of object oriented programing, executing the Scala code, the various classes in Scala like Getters,Setters, Constructors, Abstract ,Extending Objects, Overriding Methods, the Java and Scala interoperability, the concept of functional programming and anonymous functions, Bobsrockets package, comparing the mutable and immutable collections.
Hands-on Exercise – Writing Spark application using Scala, understanding the robustness of Scala for Spark real-time analytics operation.
Detailed Apache Spark, its various features, comparing with Hadoop, the various Spark components, combining HDFS with Spark, Scalding, introduction to Scala, importance of Scala and RDD.
Hands-on Exercise – The Resilient Distributed Dataset in Spark and how it helps to speed up big data processing.
The RDD operation in Spark, the Spark transformations, actions, data loading, comparing with MapReduce, Key Value Pair.
Hands-on Exercise – How to deploy RDD with HDFS, using the in-memory dataset, using file for RDD, how to define the base RDD from external file, deploying RDD via transformation, using the Map and Reduce functions, working on word count and count log severity.
The detailed Spark SQL, the significance of SQL in Spark for working with structured data processing, Spark SQL JSON support, working with XML data, and parquet files, creating HiveContext, writing Data Frame to Hive, reading of JDBC files, the importance of Data Frames in Spark, creating Data Frames, schema manual inferring, working with CSV files, reading of JDBC tables, converting from Data Frame to JDBC, the user-defined functions in Spark SQL, shared variable and accumulators, how to query and transform data in Data Frames, how Data Frame provides the benefits of both Spark RDD and Spark SQL, deploying Hive on Spark as the execution engine.
Hands-on Exercise – Data querying and transformation using Data Frames, finding out the benefits of Data Frames over Spark SQL and Spark RDD.
Different Algorithms, the concept of iterative algorithm in Spark, analyzing with Spark graph processing, introduction to K-Means and machine learning, various variables in Spark like shared variables, broadcast variables, learning about accumulators.
Hands-on Exercise – Writing spark code using Mlib.
Introduction to Spark streaming, the architecture of Spark Streaming, working with the Spark streaming program, processing data using Spark streaming, requesting count and Dstream, multi-batch and sliding window operations and working with advanced data sources.
Hands-on Exercise – Deploying Spark streaming for data in motion and checking the output is as per the requirement.
Create a four node Hadoop cluster setup, running the MapReduce Jobs on the Hadoop cluster, successfully running the MapReduce code, working with the Cloudera Manager setup.
Hands-on Exercise – The method to build a multi-node Hadoop cluster using an Amazon EC2 instance, working with the Cloudera Manager.
The overview of Hadoop configuration, the importance of Hadoop configuration file, the various parameters and values of configuration, the HDFS parameters and MapReduce parameters, setting up the Hadoop environment, the Include’ and Exclude configuration files, the administration and maintenance of Name node, Data node directory structures and files, File system image and Edit log
Hands-on Exercise – The method to do performance tuning of MapReduce program.
Introduction to the Checkpoint Procedure, Name node failure and how to ensure the recovery procedure, Safe Mode, Metadata and Data backup, the various potential problems and solutions, what to look for, how to add and remove nodes.
Hands-on Exercise – How to go about ensuring the MapReduce File system Recovery for various different scenarios, JMX monitoring of the Hadoop cluster, how to use the logs and stack traces for monitoring and troubleshooting, using the Job Scheduler for scheduling jobs in the same cluster, getting the MapReduce job submission flow, FIFO schedule, getting to know the Fair Scheduler and its configuration.
How ETL tools work in Big data Industry, Introduction to ETL and Data warehousing. Working with prominent use cases of Big data in ETL industry, End to End ETL PoC showing big data integration with ETL tool.
Hands-on Exercise – Connecting to HDFS from ETL tool and moving data from Local system to HDFS, Moving Data from DBMS to HDFS, Working with Hive with ETL Tool, Creating Map Reduce job in ETL tool
Working towards the solution of the Hadoop project solution, its problem statements and the possible solution outcomes, preparing for the Cloudera Certifications, points to focus for scoring the highest marks, tips for cracking Hadoop interview questions.
Hands-on Exercise – The project of a real-world high value Big Data Hadoop application and getting the right solution based on the criteria set by the Intellipaat team.
Why testing is important, Unit testing, Integration testing, Performance testing, Diagnostics, Nightly QA test, Benchmark and end to end tests, Functional testing, Release certification testing, Security testing, Scalability Testing, Commissioning and Decommissioning of Data Nodes Testing, Reliability testing, Release testing
Understanding the Requirement, preparation of the Testing Estimation, Test Cases, Test Data, Test bed creation, Test Execution, Defect Reporting, Defect Retest, Daily Status report delivery, Test completion, ETL testing at every stage (HDFS, HIVE, HBASE) while loading the input (logs/files/records etc) using sqoop/flume which includes but not limited to data verification, Reconciliation, User Authorization and Authentication testing (Groups, Users, Privileges etc), Report defects to the development team or manager and driving them to closure, Consolidate all the defects and create defect reports, Validating new feature and issues in Core Hadoop.
Report defects to the development team or manager and driving them to closure, Consolidate all the defects and create defect reports, Responsible for creating a testing Framework called MR Unit for testing of Map-Reduce programs.
Automation testing using the OOZIE, Data validation using the query surge tool.
Test plan for HDFS upgrade, Test automation and result
How to test install and configure
Intellipaat is the pioneer of Hadoop training in India. As you know today the demand for Hadoop professionals far exceeds the supply. So it pays to be with the market leader like Intellipaat when it comes to learning Hadoop in order to command top salaries. As part of the training you will learn about the various components of Hadoop like MapReduce, HDFS, HBase, Hive, Pig, Sqoop, Flume, Oozie among others. You will get an in-depth understanding of the entire Hadoop framework for processing huge volumes of data in real world scenarios.
The Intellipaat training is the most comprehensive course, designed by industry experts keeping in mind the job scenario and corporate requirements. We also provide lifetime access to videos, course materials, 24/7 Support, and free course material upgrade. Hence it is a one-time investment.
Intellipaat basically offers the self-paced training and online instructor-led training. Apart from that we also provide corporate training for enterprises. All our trainers come with over 12 years of industry experience in relevant technologies and also they are subject matter experts working as consultants. You can check about the quality of our trainers in the sample videos provided.
If you have any queries you can contact our 24/7 dedicated support to raise a ticket. We provide you email support and solution to your queries. If the query is not resolved by email we can arrange for a one-on-one session with our trainers. The best part is that you can contact Intellipaat even after completion of training to get support and assistance. There is also no limit on the number of queries you can raise when it comes to doubt clearance and query resolution.
Yes, you can learn Hadoop without being from a software background. We provide complimentary courses in Java and Linux so that you can brush up on your programming skills. This will help you in learning Hadoop technologies better and faster.
The Intellipaat self-paced training is for people who want to learn at their own leisurely pace. As part of this program we provide you with one-on-one sessions, doubt clearance over email, 24/7 Live Support, 1yr of cloud access and lifetime LMS and upgrade to the latest version at no extra cost. The prices of self-paced training can be 75% lesser than online training. While studying should you face any unexpected challenges then we shall arrange a Virtual LIVE session with the trainer.
We provide you with the opportunity to work on real world projects wherein you can apply your knowledge and skills that you acquired through our training. We have multiple projects that thoroughly test your skills and knowledge of various Hadoop components making you perfectly industry-ready. These projects could be in exciting and challenging fields like banking, insurance, retail, social networking, high technology and so on. The Intellipaat projects are equivalent to six months of relevant experience in the corporate world.
Yes, Intellipaat does provide you with placement assistance. We have tie-ups with 80+ organizations including Ericsson, Cisco, Cognizant, TCS, among others that are looking for Hadoop professionals and we would be happy to assist you with the process of preparing yourself for the interview and the job.
Yes, if you would want to upgrade from the self-paced training to instructor-led training then you can easily do so by paying the difference of the fees amount and joining the next batch of classes which shall be separately notified to you.
Upon successful completion of training you have to take a set of quizzes, complete the projects and upon review and on scoring over 60% marks in the qualifying quiz the official Intellipaat verified certificate is awarded.The Intellipaat Certification is a seal of approval and is highly recognized in 80+ corporations around the world including many in the Fortune 500 list of companies.
This training course is designed to help you clear Cloudera Spark and Hadoop Developer Certification (CCA175) exam. The entire training course content is in line with these two certification programs and helps you clear these certification exams with ease and get the best jobs in the top MNCs.
As part of this training you will be working on real time projects and assignments that have immense implications in the real world industry scenario thus helping you fast track your career effortlessly.
At the end of this training program there will be quizzes that perfectly reflect the type of questions asked in the respective certification exams and helps you score better marks in certification exam.
Intellipaat Course Completion Certificate will be awarded on the completion of Project work (on expert review) and upon scoring of at least 60% marks in the quiz. Intellipaat certification is well recognized in top 80+ MNCs like Ericsson, Cisco, Cognizant, Sony, Mu Sigma, Saint-Gobain, Standard Chartered, TCS, Genpact, Hexaware, etc.
21
Apr24
Apr28
Apr01
MayThis training course is designed to help you clear Cloudera Spark and Hadoop Developer Certification (CCA175) exam.
Intellipaat enjoys strong relationship with 80+ MNCs across the globe. We have a dedicated team who will help you with your resume building once you complete the course and your resume will be forwarded to partner MNCs. Intellipaat don’t charge any extra fees for passing the resume to our partners and clients"PMI®", "PMP®" and "PMI-ACP®" are registered marks of the Project Management Institute, Inc.
The Open Group®, TOGAF® are trademarks of The Open Group.
The Swirl logoTM is a trade mark of AXELOS Limited.
ITIL® is a registered trade mark of AXELOS Limited.
PRINCE2® is a Registered Trade Mark of AXELOS Limited.
Certified ScrumMaster® (CSM) and Certified Scrum Trainer® (CST) are registered trademarks of SCRUM ALLIANCE®
Professional Scrum Master is a registered trademark of Scrum.org
Thankful to Intellipaat
I'm really thankful to Intellipaat about the Hadoop Architect Course with big data certification. First of all, the team support me in finding the best big data online course based on my experiences and current assignment. Also , the session is so pratical and the trainers are seasoned and available for any queries even in offline mode after the sessions of big data hadoop course. I'm really recommending this training to anyone who wants to understand the concept of BIG DATA by learning Hadoop & its ecosystem and obtain a most value certification in Hadoop from a recognized institution.
Impactful training videos
hi The Intellipaat big data course video quality is of the highest level. I had enrolled for the self-paced Big Data Hadoop training and the videos offered the best platform for learning at one’s leisurely pace since it has been created by industry experts and the attention to detail and real world examples in the videos is worth mentioning. According to me this is an industry-recognized big data certification training.
Qualified Support Team
Full marks for the Intellipaat support team for providing excellent support services. Since Hadoop was new to me and I used to have many queries but the support team was very qualified and very patient in listening to my queries and resolve it to my highest expectations. The entire big data course was completely oriented towards the practical aspects.
Great Learning
I am very much happy with the Intellipaat big data Hadoop training. The trainer knowledge and experience was very good. I got more than what I had expected as part of the training program and because of this I could easily master the Hadoop technology. I would recommend the Intellipaat big data course to all.
Great Learning
I am completely satisfied with the Intellipaat big data hadoop training. The trainer came with over a decade of industry experience. The entire big data online course was segmented into modules that were created with care so that the learning is complete and as per the industry needs.
Great learning – Cleared Cloudera Certification – Got job in Cognizant
I wanted to learn big data since it had a huge scope. My career changed positively upon completion of Intellipaat Big Data Hadoop Online Training. Go with Intellipaat for a Bright Career !!! Thanks.
The best investment I ever made in my career ! Awesome Learning Experience
I had taken Intellipaat Big Data Hadoop Online. An excellent online mode of learning. Now I am confident I can look out for a career in Big Data. upon successfully completing this big data course Thanks again and looking forward to a lot more learning from Intellipaat !! I highly recommend the big data online course. All the best.
Great Learning. I highly recommend it.
Recently I completed Big Data Hadoop Certification Training from intellipaat. Great Learning. The best investment I ever made in my career. I've learnt and benefitted a lot from intellipaat big data online course and continue to be a member.
Incredibly good
Thank you very much for your training. The trainer resolved my query in record time and that too as per my utmost sanctification. I have no words to describe my gratitude to Intellipaat.
Exactly what I needed
"Dear Intellipaat team. I am fully satisfied with your services. Thank you for your guidance. I want to make a reference about the quiz at the end of the course that was perfectly designed to gauge my proficiency. Thanks a lot for making it so comprehensive with attention to detail. "
AMAZING Course!!
This Intellipaat Hadoop tutorial has delivered more than what they had promised to me. Since I have undergone previous Hadoop training I am quite familiar with Big Data Hadoop concepts but Intellipaat took it to a different level with their attention to details and Hadoop domain expertise. I recommend this training to everybody. You will learn everything from basic Hadoop concepts to advanced Hadoop technology deployment. I am more than satisfied with this training. Thank you Intellipaat!
Fabulous
A big thank you to the entire Intellipaat Big Data Hadoop Team! You have delivered a great Hadoop online certification training course, with equally informative Hadoop online tutorials, Big Data video tutorials that are absolutely free. Highly experienced and qualified Big Data Hadoop trainers made the learning process completely effortless and enjoyable for me. I am extremely happy for having enrolled for the best Hadoop training!
Good Online Platform
I mastered Hadoop through the Intellipaat Big Data Hadoop online training. Let me frankly tell you that this course is designed in a unique and comprehensive manner that is by far the best. Plus you get loads of free tutorials and video content all along. The entire coursework is easy to understand, very simple language but highly effective from the learner’s point of view. There is a natural flow in the big data Hadoop online training course offered by Intellipaat. This is highly recommended for getting the Hadoop certification.
Awesome Training
This online big data Hadoop training is extremely industry-focused and job-oriented. Overall I am giving 10 out of 10 for this Hadoop certification course from Intellipaat!
Great Course
I wish I knew about Intellipaat online Hadoop training before. I have hugely benefitted from this big data Hadoop certification course. Excellent course material and highly recommended Hadoop trainers will provide you full understanding of Hadoop concepts.
Excellent Course
This is regards to conveying my deepest gratitude to Intellipaat. The quality and methodology of the online Hadoop training is matchless. The self-study program for which I had enrolled for big data Hadoop training ticked all the right boxes. I had access to free tutorials and videos to help me in my learning endeavour. A special mention must be made regarding the promptness and enthusiasm that Intellipaat showed when it comes to query resolution and doubt clearance. Kudos!
Good Stuff
A big data Hadoop online training course that hits the bull’s eye. The Hadoop trainer was a master of big data and Hadoop concepts and implementation. Great to learn at Intellipaat!