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Big Data Hadoop Certification Training – Sydney, Australia
Master Big Data Hadoop and Spark at Sydney to get ready for Cloudera CCA Spark and Hadoop Developer Certification (CCA175) as well as master Hadoop Administration with 14 real time industry oriented case study projects at Sydney.
About Big Data Hadoop Certification Training Course
What you will learn in this Big Data Hadoop Course?
- Basic fundamentals of Hadoop
- Writing applications on YARN
- Learning to work on Hadoop components like HDFS, Hive, pig, MapReduce, Spark, Oozie, Flume, etc.
- Configuring Pseudo-node and Multi-node clusters
- Managing, monitoring, administering and troubleshooting the Hadoop cluster
- Working with Avro data formats
- Learning to work on Spark, Spark RDD, MLlib and GraphX
- Understanding the concepts of Big Data Analytics
- In-depth study of testing hadoop applications
Who should take this Big Data Hadoop Online Training Course?
- Programming Developers and System Administrators
- Experienced working professionals , Project managers
- Big Data Hadoop Developers eager to learn other verticals like Testing, Analytics, Administration
- Mainframe Professionals, Architects & Testing Professionals
- Business Intelligence, Data warehousing and Analytics Professionals
- Graduates, undergraduates eager to learn the latest Big Data technology can take this Big Data Hadoop Certification online training
What are the Prerequisites for learning Hadoop?
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.
What are the Hadoop job opportunities in Sydney?
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.
What is the Hadoop market trend in Sydney?
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.
Why you should learn Big Data and Hadoop?
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.
What Hadoop projects you will be working on?
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.
Big Data Hadoop Course Content
Hadoop Installation & setup
Hadoop Cluster Architecture, Federation and High Availability, A Typical Production Cluster setup, Hadoop Cluster Modes, Common Hadoop Shell Commands, Hadoop Configuration Files, Cloudera Single node cluster, Hive, Pig, Sqoop, Flume, Scala and Spark.
Introduction to Big Data Hadoop. Understanding HDFS & Mapreduce
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.
Deep Dive in Mapreduce
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
Introduction to Hive
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
Advance Hive & Impala
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.
Introduction to Pig
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.
Flume, Sqoop & HBase
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.
Writing Spark Applications using Scala
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.
Spark framework
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.
RDD in Spark
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.
Data Frames and Spark SQL
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.
Machine Learning using Spark (Mlib)
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.
Spark Streaming
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.
Hadoop Administration – Multi Node Cluster Setup using Amazon EC2
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.
Hadoop Administration – Cluster Configuration
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.
Hadoop Administration – Maintenance, Monitoring and Troubleshooting
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.
ETL Connectivity with Hadoop Ecosystem
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
Project Solution Discussion and Cloudera Certification Tips & Tricks
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.
Following topics will be available only in self-paced Mode.
Hadoop Application Testing
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
Roles and Responsibilities of Hadoop Testing Professional
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.
Framework called MR Unit for Testing of Map-Reduce Programs
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.
Unit Testing
Automation testing using the OOZIE, Data validation using the query surge tool.
Test Execution
Test plan for HDFS upgrade, Test automation and result
Test Plan Strategy and writing Test Cases for testing Hadoop Application
How to test install and configure
What Hadoop Projects You will be working on?
Highlights :
- Sqoop data transfer from RDBMS to Hadoop
- Coding in Hive Query Language
- Data querying and analysis.
Highlights :
- MapReduce program for working on the data file
- Apache Pig for analyzing data
- Apache Hive data warehousing and querying
Highlights :
- Using Sqoop commands to bring the data into HDFS
- End to End flow of transaction data
- Working with the data from HDFS
Highlights :
- Manual Partitioning
- Dynamic Partitioning
- Bucketing
Highlights :
- Working knowledge of ETL and Business Intelligence
- Configuring Pentaho to work with Hadoop Distribution
- Loading, Transforming and Extracting data into Hadoop cluster
Highlights :
- Hadoop installation and configuration
- Running a Hadoop multi-node using a 4 node cluster on Amazon EC2
- Deploying of MapReduce job on the Hadoop cluster.
Highlights :
- Writing JUnit tests using MRUnit for MapReduce applications
- Doing mock static methods using PowerMock & Mockito
- MapReduce Driver for testing the map and reduce pair
Highlights :
- Aggregation of log data
- Apache Flume for data transportation
- Processing of data and generating analytics
Highlights :
- Working with name node directory structure
- Audit logging, data node block scanner, balancer.
- Failover, fencing, DISTCP, Hadoop file formats.
Highlights :
- Download the Tweets & Load into Pig Storage
- Divide tweets into words to calculate sentiment
- Rating the words from +5 to -5 on AFFIN dictionary
- Filtering the Tweets and analyzing sentiment.
Highlights :
- Load the data into HDFS
- Analyze the data using Apache Pig or Hive
- Based on user queries give the right output
Apache Spark Projects
Highlights :
- Apache Spark MLlib component
- Statistical analysis
- Regression & clustering
Highlights :
- Making requests to Twitter API
- Building the server side codes
- Filtering, parsing & aggregating data
Highlights :
- Machine learning using Spark
- Deploying data visualization
- Spark SQL integration
Sample Big Data Video Tutorials
Hadoop Tutorial
About Big Data Course
Hadoop Testing
Hive Introduction
Existing Learner Feedback
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.
Big Data Hadoop Certification
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.
Big Data Hadoop Training Review
$200
$439
$286
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Sep8 PM IST (GMT +5:30)
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Oct8 PM IST (GMT +5:30)
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Sep7 AM IST (GMT +5:30)
29
Sep8 PM IST (GMT +5:30)
This 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 clientsDisclaimer
"PMI®", "PMP®" and "PMI-ACP®" are registered marks of the Project Management Institute, Inc.
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Sales Offer
- To avail this offer, enroll before 23rd September 2018.
- This offer cannot be combined with any other offer.
- This offer is valid on selected courses only.
- Cashback will be accumulated in Intellipaat e-wallet
- Please use coupon codes mentioned below to avail the offer
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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!