Big Data Reviews

  • Big Data Tutorial For Beginners | What Is Big Data | Big Data Tutorial | Hadoop Training | Edureka

    ** Flat 20% Off (Use Code: YOUTUBE20) Hadoop Training: https://www.edureka.co/hadoop **
    This Edureka Big Data tutorial ( Big Data Hadoop Blog series: https://goo.gl/LFesy8 ) helps you to understand Big Data in detail. This tutorial will be discussing about evolution of Big Data, factors associated with Big Data, different opportunities in Big Data. Further it will discuss about problems associated with Big Data and how Hadoop emerged as a solution. Below are the topics covered in this tutorial:

    1) Evolution of Data
    2) What is Big Data?
    3) Big Data as an Opportunity
    4) Problems in Encasing Big Data Opportunity
    5) Hadoop as a Solution
    6) Hadoop Ecosystem
    7) Edureka Big Data & Hadoop Training

    Subscribe to our channel to get video updates. Hit the subscribe button above.

    Instagram: https://www.instagram.com/edureka_learning/
    Facebook: https://www.facebook.com/edurekaIN/
    Twitter: https://twitter.com/edurekain
    LinkedIn: https://www.linkedin.com/company/edureka

    Check our complete Hadoop playlist here: https://goo.gl/hzUO0m
    - - - - - - - - - - - - - -

    How it Works?

    1. This is a 5 Week Instructor led Online Course, 40 hours of assignment and 30 hours of project work
    2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course.
    3. At the end of the training you will have to undergo a 2-hour LIVE Practical Exam based on which we will provide you a Grade and a Verifiable Certificate!

    - - - - - - - - - - - - - -

    About the Course

    Edureka’s Big Data and Hadoop online training is designed to help you become a top Hadoop developer. During this course, our expert Hadoop instructors will help you:

    1. Master the concepts of HDFS and MapReduce framework
    2. Understand Hadoop 2.x Architecture
    3. Setup Hadoop Cluster and write Complex MapReduce programs
    4. Learn data loading techniques using Sqoop and Flume
    5. Perform data analytics using Pig, Hive and YARN
    6. Implement HBase and MapReduce integration
    7. Implement Advanced Usage and Indexing
    8. Schedule jobs using Oozie
    9. Implement best practices for Hadoop development
    10. Work on a real life Project on Big Data Analytics
    11. Understand Spark and its Ecosystem
    12. Learn how to work in RDD in Spark

    - - - - - - - - - - - - - -

    Who should go for this course?

    If you belong to any of the following groups, knowledge of Big Data and Hadoop is crucial for you if you want to progress in your career:
    1. Analytics professionals
    2. BI /ETL/DW professionals
    3. Project managers
    4. Testing professionals
    5. Mainframe professionals
    6. Software developers and architects
    7. Recent graduates passionate about building successful career in Big Data

    - - - - - - - - - - - - - -

    Why Learn Hadoop?

    Big Data! A Worldwide Problem?

    According to Wikipedia, "Big data is collection of data sets so large and complex that it becomes difficult to process using on-hand database management tools or traditional data processing applications." In simpler terms, Big Data is a term given to large volumes of data that organizations store and process. However, it is becoming very difficult for companies to store, retrieve and process the ever-increasing data. If any company gets hold on managing its data well, nothing can stop it from becoming the next BIG success!

    The problem lies in the use of traditional systems to store enormous data. Though these systems were a success a few years ago, with increasing amount and complexity of data, these are soon becoming obsolete. The good news is - Hadoop has become an integral part for storing, handling, evaluating and retrieving hundreds of terabytes, and even petabytes of data.

    - - - - - - - - - - - - - -

    Opportunities for Hadoopers!

    Opportunities for Hadoopers are infinite - from a Hadoop Developer, to a Hadoop Tester or a Hadoop Architect, and so on. If cracking and managing BIG Data is your passion in life, then think no more and Join Edureka's Hadoop Online course and carve a niche for yourself!

    For more information, Please write back to us at sales@edureka.co or call us at IND: 9606058406 / US: 18338555775 (toll free).

    Customer Review:

    Michael Harkins, System Architect, Hortonworks says: “The courses are top rate. The best part is live instruction, with playback. But my favourite feature is viewing a previous class. Also, they are always there to answer questions, and prompt when you open an issue if you are having any trouble. Added bonus ~ you get lifetime access to the course you took!!! ~ This is the killer education app... I've take two courses, and I'm taking two more.”
    688603 Views
  • What is Big Data? Big Data Explained (Hadoop & MapReduce)

    http://www.patrickschwerdtfeger.com/sbi/

    What exactly is Big Data? This video defines and explains Big Data as well as Hadoop and MapReduce in simple language.
    437445 Views
  • What is Big Data and Hadoop?

    The availability of large data sets presents new opportunities and challenges to organizations of all sizes. So what is Big Data? How can Hadoop help me solve problems in processing large, complex data sets? Please go to https://www.learningtree.com/bigdata to learn more about Big Data & our Big Data training offerings. In this video expert instructor, Bill Appelbe will explain what Hadoop is, actual examples of how it works and how it compares to traditional databases such as Oracle & SQL Server. And finally, what is included in the Hadoop ecosystem.
    938530 Views
  • Big Data Architecture Patterns

    This talk is part of Cerner's Tech Talk series. Check us out at http://engineering.cerner.com/ and @CernerEng

    This talk focuses on the real world experience on the architectural patterns and tools integrations used to solve real business problems with data. This will be a technical session that covers tools such as Hadoop and NoSQL data stores and how to use them for the right use cases. During the session we will dive into customer architectures and where they have had both successes and failures using a combination of tools to server both OLTP and OLAP workloads. Some of the successes will include large cost reduction in SQL licensing and SAN as well as reduction in overall data warehouse costs including ETL appliances and manpower. The other core focus will be on driving change into businesses and how these customers were able to become leaders or maintain leadership using the data at hand and a set of tools.

    About the Speaker:
    Eddie Satterly (@eddie_satterly) is the Chief Big Data Evangelist in the office of the CTO at Splunk. Prior to working at Splunk, he has been in a variety of roles such as engineer, architect, and CTO. Satterly has extensive experience with Apache Cassandra and Apache Hadoop and was named to the Apache Cassandra MVP board in 2012. In addition to his role at Splunk, Satterly serves on the advisory board of two data startups and is a frequent conference speaker.
    147408 Views
  • Formation Big Data avec Apache Spark: Initiation | Présentation du Big Data

    Voici une vidéo complète de la formation Big Data avec Apache Spark - Initiation qui est en cours de préparation par Aimad TAHI sur Alphorm.com

    Plan de la vidéo
    Introduction
    Le Big Data
    Apache Hadoop
    Apache Spark
    Programmer avec Apache Spark
    Spark SQL
    Spark Streaming
    Conclusion
    3105 Views
The Number One Menace to All Organizations
 

Learn more about how to protect your organization against this growing menace
https://info.knowbe4.com/ransomware-simulator-tool-its

 

Big Data News