TekSlate’s hadoop training, aims on teaching the basics of Data Intensive Computing using Hadoop Toolkit. At the end of this bigdata course you will hopefully have an overview and hands-on experience about Map-Reduce computing pattern, its Hadoop implementation,Hadoop file system (HDFS) and some higher level tools built on top of these, like data processing language”Pig”.
Instructor-Led Live Online Training
What is Hadoop?
Apache Hadoop is an 100% open source framework for distributed storage and processing of large sets of data. The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage. Rather than rely on hardware to deliver high-availability, the library itself is designed to detect and handle failures at the application layer, so delivering a highly-available service on top of a cluster of computers, each of which may be prone to failures.
Why to attend Tekslate Online Training ?
Classes are conducted by Certified Hadoop Working Professionals with 100 % Quality Assurance.
With an experienced Certified practitioner who will teach you the essentials you need to know to kick-start your career on Hadoop. Our training make you more productive with your Hadoop Training Online. Our training style is entirely hands-on. We will provide access to our desktop screen and will be actively conducting hands-on labs with real-time projects.
BigData Hadoop Training Curriculum
The Motivation for Hadoop Training, Problems with traditional large-scale systems, Data Storage literature survey, Data Processing, literature Survey, Network Constraints, Requirements for a new approach, Hadoop: Basic Concepts, What is Hadoop?, The Hadoop, Distributed File System, Hadoop Map Reduce Works, Anatomy of a Hadoop Cluster, Hadoop demons, Master Daemons, Name node, Job Tracker, Secondary name node, Slave Daemons, Job tracker,Task tracker
HDFS(Hadoop Distributed File System)
Blocks and Splits, Input Splits, HDFS Splits, Data Replication, Hadoop Rack Aware, Data high availability, Cluster architecture and block placement
Programming Practices & Performance Tuning
Developing MapReduce Programs in Local Mode, Running without HDFS, Pseudo-distributed Mode, Running all daemons in a single node, Fully distributed mode, Running daemons on dedicated nodes
Setup Hadoop cluster of Apache, Cloudera, Hortonworks, Greenplum, Make a fully distributed Hadoop cluster on a single laptop/desktop, Install and configure Apache Hadoop on a multi node cluster in lab, Install and configure Cloudera Hadoop distribution in fully distributed mode, Install and configure Horton Works Hadoop distribution in fully distributed mode, Install and configure Green Plum distribution in fully distributed mode, Monitoring the cluster, Getting used to management console of Cloudera and Horton Works, Name Node in Safe mode, Meta Data Backup, Ganglia and Nagios – Cluster monitoring, CASE STUDIES
Writing a MapReduce Program, Examining a Sample MapReduce Program, With several examples, Basic API Concepts, The Driver Code, The Mapper, The Reducer, Hadoop’s Streaming API
Performing several Hadoop jobs
The configure and close Methods, Sequence Files, Record Reader, Record Writer, Role of Reporter, Output Collector, Counters, Directly Accessing HDFS, ToolRunner, Using The Distributed Cache, Several MapReduce jobs (In Detailed), Most effective Search Using Map Reduce, Recommendations using Map Reduce
Processing the log files using Map Reduce
Identity Mapper, Identity Reducer, Exploring well known problems using MapReduce applications
Debugging MapReduce Programs
Testing with MRUnit, Logging, Other Debugging Strategies.
Advanced MapReduce Programming
The Secondary Sort, Customized Input Formats and Output Formats, Joins in MapReduce
Monitoring and debugging on a Production Cluster
Counters, Skipping Bad Records, Running in local mode
Tuning for Performance in MapReduce
Reducing network traffic with combiner, Partitioners, Reducing the amount of input data, Using Compression, Reusing the JVM, Running with speculative execution, Other Performance Aspects, CASE STUDIES
Name Node High – Availability, Name Node federation, Fencing, MapReduce Version – 2
Hive concepts, Hive architecture, Install and configure hive on cluster,Different type of tables in hive, Hive library functions, Buckets, Partitions, Joins in hive, Inner joins, Outer Joins, Hive UDF
Pig basics, Install and configure PIG on a cluster, PIG Library functions,Pig Vs Hive,Write sample Pig Latin scripts,Modes of running PIG,Running in Grunt shell,Running as Java program,PIG UDFs,Pig Macros,Debugging PIG
Difference between Impala Hive and Pig,How Impala gives good performance,Exclusive features of Impala,Impala Challenges,Use cases of Impala
HBase concepts, HBase architecture, HBase basics, Region server architecture, File storage architecture, Column access, Scans, HBase use cases, Install and configure HBase on a multi node cluster, Create database, Develop and run sample applications, Access data stored in HBase using clients like Java, Python and Pearl, Map Reduce client to access the HBase data, HBase and Hive Integration, HBase admin tasks, Defining Schema and basic operation., Cassandra Basics, MongoDB Basics
Other EcoSystem Components –Sqoop
Install and configure Sqoop on cluster, Connecting to RDBMS, Installing Mysql, Import data from Oracle/Mysql to hive, Export data to Oracle/Mysql, Internal mechanism of import/export
Oozie architecture, XML file specifications, Install and configuring Oozie and Apache, Specifying Work flow, Action nodes, Control nodes, Oozie job coordinator
Flume, Chukwa, Avro, Scribe, Thrift
Flume and Chukwa concepts, Use cases of Thrift, Avro and scribe, Install and configure flume on cluster, Create a sample application to capture logs from Apache using flume
Hadoop disaster recovery, Hadoop suitable cases
Hadoop certified developer is one of the best options that can help you to excel in your career To achieve this certification, one needs to have a good knowledge of entire Hadoop Architecture including Pig, Hive, Sqoop and Flume.
- Having a Hadoop certification distinguishes you as an expert.
- For Hadoop certification, you need not go to a test center, as the exams are available online
- You need to register yourself at examslocal.com and select HDP Certified Developer (HDPCD) to give your exam.
Benefits to our Global Learners
- Tekslate services are Student-centered learning.
- Qualitative & cost effective learning at your pace.
- Geographical access to learn from any part of the world.
Hadoop Certification Training in Your City
- Hadoop Training India
Tekslate provides instructor-led live online training and corporate training. Hadoop Training provides you hands on real-time project experience. Our Hadoop trainers are certified industry experts and work professionals. We provide customized training for beginners as well working professionals. You can avail training in your cities like Hyderabad, Bangalore, Delhi, Mumbai, Pune, Chennai and more.
- Hadoop Training United States
Our trainers in US are certified and have in-depth knowledge regarding Hadoop Concepts. Tekslate superior quality training is what makes us stand apart from others. Case studies are included in the curriculum of training programs irrespective of the mode you chose. You can avail training in your cities like New York, Los Angeles, Chicago, Houston, and more.
- Hadoop Training United Kingdom
For experienced professionals in UK, special batches are conducted in different timings. Customized approach to imparting training has made us different from others. You can clarify your doubts after completing the class. You can avail training in your cities like London, Birmingham, Leeds, Glasgow and more.
- Hadoop Training Canada
There are many companies that offer Hadoop training in Canada. Our Hadoop course provides basic understanding about the introduction and overview. It is the course that can be educate right from the beginner to the intermediate and advanced level. Hadoop Training is provided by Real Time Industry Experts who has huge subject knowledge, skills and enhances the skills of students in the best way. You can avail training in your cities like Montreal, Winnipeg, Mississauga, Ottawa and more.
What Are The Modes Of Training?
Tekslate basically offers the online instructor-led training. Apart from that we also provide corporate training for enterprises.
Who Are The Trainers?
Our trainers have relevant experience in implementing real-time solutions on different queries related to different topics. Tekslate also verifies their technical background and expertise.
What If I Miss A Class?
We record each LIVE class session you undergo through and we will share the recordings of each session/class.
Can I Request For A Support Session If I Find Difficulty In Grasping Topics?
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.
What Kind Of Projects Will I Be Working On As Part Of The Training?
You will 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 aspect and components making you perfectly industry-ready.
How Will I Execute The Practical?
Our Trainers will provide the Environment/Server Access to the students and we ensure practical real-time experience and training by providing all the utilities required for the in-depth understanding of the course.
If I Cancel My Enrollment, Will I Get The Refund?
If you are enrolled in classes and/or have paid fees, but want to cancel the registration for certain reason, it can be attained within 48 hours of initial registration. Please make a note that refunds will be processed within 30 days of prior request.
Will I Be Working On A Project?
The Training itself is Real-time Project Oriented.
Are These Classes Conducted Via Live Online Streaming?
Yes. All the training sessions are LIVE Online Streaming using either through WebEx or GoToMeeting, thus promoting one-on-one trainer student Interaction.
Is There Any Offer / Discount I Can Avail?
There are some Group discounts available if the participants are more than 2.
Who Are Our Customers & Our Location ?
As we are one of the leading providers of Online training, We have customers from USA, UK, Canada, Australia, India and other parts of the world.
The online course session was good with a lot of discussion on the subject in depth. Demo's were good and the trainer cleared my doubts clearly.The trainer having a very good command on the subject.
Real time/live scenario's were included in the training sessions. The trainer's has very good command on the subject. Thank you..
I like the training period from Tekslate. The course is very well designed that helps to keep track until we demonstrate subject mastery.
Using most innovative teaching techniques, Tekslate intended to help students to learn through online. A great part of the coursework is allowed to use and earn certification by the time they finish t ...
Dual Role Of Yahoo’s Internal Hadoop Clusters On Deep Learning
Date Published: 16/2/2017
In the recent times, some IT outlet had either adopted a Hadoop cluster for production use or had a cluster build aside to investigate the puzzles of HDFS storage system or the MapReduce. During these past 5 years of time many large-scale companies had hadoop deployments in their work areas and exploited the crux of the datacenter by machine learning and more interpretation of data with deep learning. Yahoo, the land of Hadoop and MapReduce over a decade ago, has worked on the integration of deep learning of hadoop. Yahoo’s chief internal cluster for research, production workloads, user data and now deep learning is all based on the hadoop-centered technology...Read more