1 / 13

Batch Start on Big Data & Hadoop

Maxonlinetraining has organised a 'Know All' workshop on Big Data and Hadoop in collaboration with the leaders in Big Data and Hadoop training. The registration for this two hour session is absolutely FREE. Scheduled on Mar 07, 8:00 pm EST ( Mar 08, 6:30 am IST ) the workshop will give you a 360 degree view about Big data and hadoop and also gives you an opportunity to interact with and assess the faculty trainer. You can register for the free workshop here: https://goo.gl/dcYVqh<br> <br>The Hadoop class batch by starts the Live Demo on Mar 07, 8:00 pm EST ( Mar 08, 6:30 am IST ). One can avail an additional discount of 10% by registering online for this course here: http://maxonlinetraining.com/hadoop-admin-online-training/<br><br>For any queries, please contact:<br> 1 940 440 8084 / 91 953 383 7156<br>To Enroll your seat: https://goo.gl/dcYVqh<br>

maxonlinetr
Download Presentation

Batch Start on Big Data & Hadoop

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. www.maxonlinetraining.com

  2. The Big Data and Hadoop Training course from Maxonlinetraing is specially designed in such a way that everyone can enhance their knowledge and skills to become a successful Hadoop developer.

  3. About The Hadoop Admin Online Training: Maxonlinetraining.com Big Data Hadoop Administrator online training course is mainly intended to understand the core concepts of Apache Hadoop and Hadoop Cluster mainly. It covers the important concepts associated to secure a Hadoop Cluster and Hbase administration.

  4. Course content: 1. Hadoop Cluster Administration 2. Hadoop Architecture and Cluster setup 3. Hadoop Cluster: Planning and Managing 4. Backup, Recovery and Maintenance 5. Hadoop 2.0 and High Availability

  5. What is Apache Hadoop? Apache Hadoop is an open-source software framework written in Java for distributed storage and distributed processing of very large data sets on computer clusters built from commodity hardware.

  6. The core of Apache Hadoop consists of a storage part, known as Hadoop Distributed File System The core of Apache Hadoop consists of a storage part, known as Hadoop Distributed File System (HDFS), and a processing part called Map Reduce. (HDFS), and a processing part called Map Reduce. Hadoop splits files into large blocks and Hadoop splits files into large blocks and distributes them across nodes in a cluster. distributes them across nodes in a cluster.

  7. Hadoop – Advantages and Disadvantages Advantages of Hadoop 1) Distribute data and computation. The computation local to data prevents the network overload. 2) Tasks are independent The task are independent so, • We can easy to handle partial failure. Here the entire nodes can fail and restart. • it avoids crawling horrors of failure and tolerant synchronous distributed systems. • Speculative execution to work around stragglers.

  8. 3) Linear scaling in the ideal case.It used to design for cheap, commodity hardware. 4) Simple programming model.The end-user programmer only writes map-reduce tasks. 5) HDFS store large amount of information 6) HDFS is simple and robust coherency model 7) That is it should store data reliably. Registration: https://goo.gl/dcYVqh

  9. Registration: https://goo.gl/dcYVqh

  10. Disadvantages of Hadoop 1) Rough manner:- Hadoop Map-reduce and HDFS are rough in manner. Because the software under active development. 2) Programming model is very restrictive:- Lack of central data can be preventive. 3) Joins of multiple datasets are tricky and slow:- No indices! Often entire dataset gets copied in the process. 4) Cluster management is hard:- In the cluster, operations like debugging, distributing software, collection logs etc are too hard. 5) Still single master which requires care and may limit scaling 6) Managing job flow isn’t trivial when intermediate data should be kept 7) Optimal configuration of nodes not obvious.

  11. What is Big Data Integration & Analytics Platform The Big Data platform offers robust data integration in an open and scalable architecture leveraging technologies such as Talend, Hadoop, MongoDB to integrate and process the data.

  12. Attend our Big Data Hadoop Online Training Demo for free. Our Big Data Course Special Features: • Structured Course Curriculum Content. • One Time Pay-Life time access to all videos and sessions. • Daily Assignments and weekly tests. • Unlimited mock interview sessions. • Resume Preparation. • 100% Job Placement Assistance. Registration: https://goo.gl/dcYVqh

  13. Maxonlinetraining.com technical panel assists you to become certified Big Data Hadoop Admin professional depending on your performance in the project. http://maxonlinetraining.com/hadoop-admin-online-training/ For more details call: +1 940 440 8084 / +91 953 383 7156 Registration https://goo.gl/dcYVqh

More Related