Big Data Reviews

  • Big Data & Hadoop Full Course - Learn Hadoop In 10 Hours | Hadoop Tutorial For Beginners | Edureka

    🔥 Edureka Big Data Architect Master Program: https://www.edureka.co/masters-program/big-data-architect-training
    This Edureka Big Data & Hadoop Full Course video will help you understand and learn Hadoop concepts in detail. This Big Data & Hadoop Tutorial is ideal for both beginners as well as professionals who want to master the Hadoop Ecosystem. Below are the topics covered in this Big Data & Hadoop Tutorial for Beginners video:
    2:37 Introduction to Big Data
    8:22 What is Big Data?
    9:32 5 V's of Big Data
    15:02 Big Data as an Opportunity
    18:27 IBM Big Data Analytics Use-Case
    24:38 Big Data Analytics & Use-Case
    32:43 What is Big Data Analytics?
    33:28 Stages of Big Data Analytics
    34:33 Types of Big Data Analytics
    39:53 Big Data Analytics in Different Domains
    46:38 Problems with Big Data: Restaurant Analogy
    54:53 Apache Hadoop
    56:18 Hadoop Master-Slave Architecture
    1:00:38 HDFS
    1:01:03 NameNode & DataNode
    1:02:33 Secondary Namenode & Checkpointing
    1:06:18 HDFS Data Blocks
    1:11:18 HDFS Replication
    1:12:48 HDFS Read/Write Mechanism
    1:20:43 MapReduce
    1:24:33 What is MapReduce?
    1:25:43 MapReduce Word Count Program
    1:42:13 YARN
    1:43:38 MapReduce Job Workflow
    1:47:28 YARN Architecture
    1:48:33 Hadoop Architecture
    1:49:38 Hadoop Ecosystem
    1:50:53 Hadoop Cluster Mode
    1:52:33 Hadoop Ecosystem
    1:55:38 Hadoop Installation
    2:08:03 MapReduce Examples
    2:08:08 Weather Data Set Analysis
    2:16:23 MapReduce Last.FM Example
    2:24:13 Apache Sqoop Tutorial
    2:26:03 What is Sqoop?
    2:27:33 Features of Sqoop
    2:28:43 Sqoop Architecture
    2:30:48 Import Sqoop Command
    2:38:23 Export Sqoop Command
    2:40:03 List Database Command
    2:42:28 Apache Flume Tutorial
    2:45:18 Flume Architecture
    2:46:58 Flume Twitter Streaming
    2:52:23 Apache Pig Tutorial
    2:55:18 Pig vs MapReduce
    2:58:23 Twitter Case Study
    3:04:48 Pig Architecture
    3:05:48 Pig Components
    3:09:38 Pig Data Models
    3:14:33 Pig Commands
    3:27:33 Apache Hive Tutorial
    3:40:43 What is Hive?
    3:43:23 PigLatin Vs HiveQL
    3:47:09 Hive Architecture
    3:50:19 Hive Components
    3:51:24 Metastore
    3:55:44 Hive Commands
    3:56:44 Hive Setup
    4:01:04 Type Systems
    4:02:54 Hive Data Models
    4:46:54 Hive Partitioning
    4:56:44 Bucketing in Hive
    5:44:19 External Table
    5:48:49 Apache HBase Tutorial
    6:13:05 Types of NoSQL Databases
    6:21:36 History if HBase
    6:23:06 HBase vs RDBMS
    6:27:56 Uses of HBase
    6:31:46 Companies Using HBase
    6:41:03 HBase Operation
    6:51:28 HBase Shell
    7:16:38 Single Map
    7:17:23 Multidimensional Map
    7:18:03 Multidimensional Columns
    7:20:33 Row vs Column Oriented Databases
    7:22:33 HBase Data Models
    7:25:03 HBase Physical Storage
    7:28:43 HBase Architecture
    7:30:48 HBase Components
    7:31:04 HBase Read Write Mechanism
    7:40:49 Compaction in HBase
    7:41:49 HBase Shell
    7:42:09 HBase Client API
    7:42:24 Hadoop E-Commerce Projects
    7:58:24 Distributed Cache
    8:00:14 Code Sections
    8:17:44 How to Become a Big Data Engineer?
    8:18:24 Who is a Big Data Engineer?
    8:19:14 Big Data Engineer Responsibilities
    8:24:49 Big Data Engineer Skills
    8:32:44 Big Data Engineer Learning Path
    8:36:19 Big Data & Hadoop Interview Questions

    --------------------Edureka Big Data Training and Certifications------------------------

    🔵 Edureka Hadoop Training: http://bit.ly/2YBlw29
    🔵 Edureka Spark Training: http://bit.ly/2PeHvc9
    🔵 Edureka Kafka Training: http://bit.ly/34e7Riy
    🔵 Edureka Cassandra Training: http://bit.ly/2E9AK54
    🔵 Edureka Talend Training: http://bit.ly/2YzYIjg
    🔵 Edureka Hadoop Administration Training: http://bit.ly/2YE8Nf9

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

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    Got a question on the topic? Please share it in the comment section below and our experts will answer it for you.

    For more information, please write back to us at sales@edureka.in or call us at IND: 9606058406 / US: 18338555775 (toll-free).
    88285 Views
  • การบันทึกข้อมูลครู Big Data กระทรวงศึกษาธิการ(สพฐ.) ง๊ายง่าย!! ใน 5 นาที :: edc.moe.go.th By ครูกิ๊ก

    สพฐ.แจ้งครูและบุคลากรทางการศึกษา กรอกข้อมูลในระบบฐานข้อมูลกลาง (Big Data) ของกระทรวงศึกษาธิการ
    *** ขยายเวลาให้ถึง 11 พฤศจิกายน 2562 นี้นะคะ !!! ***
    เข้าเว็บไซต์เพื่อกรอก สพฐ. Big Data ได้ที่ https://edc.moe.go.th
    .
    ครูกิ๊กมีคลิปสอนลงทะเบียนง่ายๆ ภายใน 5 นาทีมาฝากนะค้าาาา
    สำหรับคนที่จะเข้าไปกรอกในเว็บ https://edc.moe.go.th
    ให้เตรียมไฟล์ดังนี้
    ----
    📝1. ไฟล์บัตรประชาชน (.jpg , .jpg) *** บังคับ
    💁2. รูปถ่าย (ไม่อัพโหลดก็ได้)
    -----
    🍌ลองทำตามกันดูน๊า กรอกง่ายๆ 5 นาทีเอ๊งงงงงง ~!!!! (เสียงสู๊งงง) 😂
    คุณครูท่านใดบันทึกข้อมูลแล้ว ติดปัญหาอะไรมาแชร์กันได้จ้า

    ** ช่วงกลางวันคนจะเข้าเยอะนะคะ เว็บจะช้านิดนึง
    ต้องรอเข้าดึกๆถึงจะโหลดเร็วจ้าาา
    .
    .
    โดย ครูกฤติยา พลหาญ (ครูกิ๊ก)
    ครู โรงเรียนเสลภูมิพิทยาคม
    60715 Views
  • Big Data Tutorial For Beginners | Big Data Full Course | Learn Big Data Step By Step | Simplilearn

    In this full course video on Big data, you will learn about Big data, Hadoop, and Spark. First, we will look into a big data tutorial, the challenges in big data, and how Hadoop solves these challenges. You will learn how to install Hadoop, then understand the various components of Hadoop that are HDFS, MapReduce, and YARN. HDFS will teach you how to store big data, and MapReduce will show you how to process this big data. In YARN, you will learn how cluster resource management works. In addition to these components, you will also look into the Hadoop ecosystem, which consists of Hive, Pig, Sqoop, and HBase. You will learn to use these tools both through theory and demos. After this, you will see how Big data is used practically across different sectors. You will also have a quick overview of Apache Spark and its installation on both Windows and Ubuntu. Finally, you will see how to become a big data engineer and also look into the important Hadoop interview questions. Now, let's get started and learn Big data.

    Below topics are explained in this Big Data full course video:1.Evolution of Big Data - 00:58
    2.Why Big Data? - 05:38
    3.What is Big Data? - 10:18
    4.5 V's of Big Data - 11:48
    5.Challenges of Big Data - 24:18
    6.Hadoop as a Solution - 27:58
    7.Cloudera Hadoop Installation - 30:28
    8.Hadoop Ecosystem - 58:39
    9.Hadoop Distributed File System - 1:07:00
    10.MapReduce Analogy - 1:46:40
    11.What is MApReduce? - 1:48:40
    12.Parallel Processing-MapReduce - 1:54:20
    13.MapReduce Workflow - 1:54:50
    14.MapReduce Architecture - 2:01:50
    15.Hadoop 1.0(MR 1) - 2:29:50
    16.Limitations of Hadoop 1.0(MR 1) - 2:34:30
    17.Need for YARN - 2:36:40
    18.What is YARN? - 2:39:30
    19.YARN Components - 2:41:30
    20.YARN Components-Node MAnager -2:49:40
    21.What is Sqoop? - 3:35:31
    22.Sqoop Features - 3:36:01
    23.Sqoop Architecture - 3:37:10
    24.What is Apache Spark? - 5:53:02
    25.History of Apache Spark - 5:53:32
    26.Apache Spark Installation on Windows - 6:30:52
    27.Apache Spark Installation on ubuntu - 7:01:42
    28.YARN - 8:10:48

    To learn more about Big Data, subscribe to our YouTube channel: https://www.youtube.com/user/Simplilearn?sub_confirmation=1

    Watch more videos on Big Data Training: https://www.youtube.com/watch?v=CKLzDWMsQGM&list=PLEiEAq2VkUUJqp1k-g5W1mo37urJQOdCZ

    #BigData #BigDataAnalytics #BigDataTutorial #BigDataFullCourse #BigDataAnalyticsForBeginners #BigDataTutorial #LearnHadoop #HadoopTraining #HadoopCertification #SimplilearnHadoop #Simplilearn

    Simplilearn’s Big Data Hadoop training course lets you master the concepts of the Hadoop framework and prepares you for Cloudera’s CCA175 Big Data certification. With our online Hadoop training, you’ll learn how the components of the Hadoop ecosystem, such as Hadoop 3.4, Yarn, MapReduce, HDFS, Pig, Impala, HBase, Flume, Apache Spark, etc. fit in with the Big Data processing lifecycle. Implement real life projects in banking, telecommunication, social media, insurance, and e-commerce on CloudLab.

    What is this Big Data Hadoop training course about?
    The Big Data Hadoop and Spark developer course have been designed to impart an in-depth knowledge of Big Data processing using Hadoop and Spark. The course is packed with real-life projects and case studies to be executed in the CloudLab.

    What are the course objectives?
    This course will enable you to:
    1. Understand the different components of Hadoop ecosystem such as Hadoop 2.7, Yarn, MapReduce, Pig, Hive, Impala, HBase, Sqoop, Flume, and Apache Spark
    2. Understand Hadoop Distributed File System (HDFS) and YARN as well as their architecture, and learn how to work with them for storage and resource management
    3. Understand MapReduce and its characteristics, and assimilate some advanced MapReduce concepts
    4. Get an overview of Sqoop and Flume and describe how to ingest data using them
    5. Create database and tables in Hive and Impala, understand HBase, and use Hive and Impala for partitioning

    Who should take up this Big Data and Hadoop Certification Training Course?
    Big Data career opportunities are on the rise, and Hadoop is quickly becoming a must-know technology for the following professionals:
    1. Software Developers and Architects
    2. Analytics Professionals
    3. Senior IT professionals
    4. Testing and Mainframe professionals
    5. Data Management Professionals
    6. Business Intelligence Professionals

    Learn more at: https://www.simplilearn.com/big-data-and-analytics/big-data-and-hadoop-training?utm_campaign=BigData-Full-Course-KcecJfxbd-4&utm_medium=Tutorials&utm_source=youtube

    For more information about Simplilearn courses, visit:
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    - Website: https://www.simplilearn.com

    Get the Android app: http://bit.ly/1WlVo4u
    Get the iOS app: http://apple.co/1HIO5J0
    1107 Views
  • How big data is transforming creative commerce

    Big data is disrupting nearly every aspect of modern life. Artificial intelligence, which involves machines learning, analyzing and acting upon enormous sets of data, is transforming industries and eliminating certain jobs. But that data can also be used to appeal more directly to what customers want. Special correspondent and Washington Post columnist Catherine Rampell reports.

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    5497 Views
  • Overview: Big Data Cluster Security | Data Exposed

    In this session, we'll be covering an overview of security features in Big Data Clusters.

    More information on security in big data clusters: https://docs.microsoft.com/en-us/sql/big-data-cluster/concept-security?view=sql-server-ver15&WT.mc_id=dataexposed-c9-niner.

    Follow Jeroen ter Heerdt and Nellie Gustafsson on Twitter at https://twitter.com/jeroenterheerdt and https://twitter.com/nelliegson.

    More Data Exposed: https://www.youtube.com/playlist?list=PLlrxD0HtieHieV7Jls72yFPSKyGqycbZR&WT.mc_id=dataexposed-c9-niner
    367 Views
  • Big Data - cosa sono e dove ci stanno portando

    BIBLIOGRAFIA:

    M. Delmastro, A. Nicita, Big Data. Come stanno cambiando il nostro mondo. Bologna, Il Mulino, 2019.

    A. Oddenino, Reflections on Big Data and International Law, in Diritto del Commercio Internazionale, De Jure, v. 31, a. 2017, n. 4, pp. 777-806.

    L. Floridi, The Fourth Revolution, Oxford University Press, 2014 (trad. italiana La Quarta Rivoluzione, Milano, Raffaello Cortina Editore, 2017).

    N. Irti, E. Severino, Dialogo su diritto e tecnica, Roma-Bari, Laterza, 2001.

    G. Della Morte, Big Data e protezione internazionale dei diritti umani. Regole e conflitti. Napoli, Editoriale Scientifica, 2018.

    A. Oddenino, La configurazione giuridica dello spazio informatico (capitolo di libro ne La governance di Internet fra autoregolazione, sovranità statale e diritto internazionale), Torino, Giappichelli, 2008.

    A. Bonfanti, La protezione dei dati personali nell’era digitale: considerazioni alla luce del quadro giuridico internazionale in materia di business e diritti umani, in Cyberspazio e Diritto, 2017, pp. 477-497.

    O. Pollicino, M. Bassini, The law of the Internet between globalisation and localisation, Bocconi Legal Studies Research Paper n. 2668720, 2014.


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    2435 Views
  • Big Data In 5 Minutes | What Is Big Data?| Introduction To Big Data |Big Data Explained |Simplilearn

    Don't forget to take the quiz at 04:03!
    Comment below what you think is the right answer, to be one of the 3 lucky winners who can win Amazon vouchers worth INR 500 or $10! (Depending on your location). What are you waiting for? Winners will be announced on Dec 18th, 2019.

    This video will help you understand what Big Data is, the 5V's of Big Data, why Hadoop came into existence, and what Hadoop is. You will also learn about the storage unit and processing unit of Hadoop, and the implementation of Big Data through use cases. In the end, we will have a quiz on Hadoop. Massive amount of data that cannot be stored, processed, and analyzed using the traditional ways is known as Big Data. Hadoop is a framework that manages Big Data storage in a distributed way and processes it parallelly. Now, lets deep dive into this video and understand Big Data and Hadoop.

    Download the Big Data career guide to explore and step into the exciting world of Big Data, and follow the path towards your dream career: https://www.simplilearn.com/big-data-career-guide-pdf?utm_campaign=Big-Data-bAyrObl7TYE&utm_medium=Tutorials&utm_source=youtube

    To learn more about Hadoop, subscribe to our YouTube channel: https://www.youtube.com/user/Simplilearn?sub_confirmation=1

    Watch more videos on HadoopTraining: https://www.youtube.com/watch?v=CKLzDWMsQGM&list=PLEiEAq2VkUUJqp1k-g5W1mo37urJQOdCZ

    #WhatIsBigData #WhatIsHadoop #BigDataExplained #HadoopExplained #HadoopTraining #BigDataTraining #BigDataTutorial #HadoopTutorial #Simplilearn Big Data #SimplilearnHadoop #Simplilearn

    Simplilearn’s Big Data Hadoop training course lets you master the concepts of the Hadoop framework and prepares you for Cloudera’s CCA175 Big data certification. With our online Hadoop training, you’ll learn how the components of the Hadoop ecosystem, such as Hadoop 3.4, Yarn, MapReduce, HDFS, Pig, Impala, HBase, Flume, Apache Spark, etc. fit in with the Big Data processing lifecycle. Implement real life projects in banking, telecommunication, social media, insurance, and e-commerce on CloudLab.

    What is this Big Data Hadoop training course about?
    The Big Data Hadoop and Spark developer course have been designed to impart an in-depth knowledge of Big Data processing using Hadoop and Spark. The course is packed with real-life projects and case studies to be executed in the CloudLab.

    What are the course objectives?
    This course will enable you to:
    1. Understand the different components of Hadoop ecosystem such as Hadoop 2.7, Yarn, MapReduce, Pig, Hive, Impala, HBase, Sqoop, Flume, and Apache Spark
    2. Understand Hadoop Distributed File System (HDFS) and YARN as well as their architecture, and learn how to work with them for storage and resource management
    3. Understand MapReduce and its characteristics, and assimilate some advanced MapReduce concepts
    4. Get an overview of Sqoop and Flume and describe how to ingest data using them
    5. Create database and tables in Hive and Impala, understand HBase, and use Hive and Impala for partitioning
    6. Understand different types of file formats, Avro Schema, using Arvo with Hive, and Sqoop and Schema evolution
    7. Understand Flume, Flume architecture, sources, flume sinks, channels, and flume configurations
    8. Understand HBase, its architecture, data storage, and working with HBase. You will also understand the difference between HBase and RDBMS
    9. Gain a working knowledge of Pig and its components
    10. Do functional programming in Spark
    11. Understand resilient distribution datasets (RDD) in detail
    12. Implement and build Spark applications
    13. Gain an in-depth understanding of parallel processing in Spark and Spark RDD optimization techniques
    14. Understand the common use-cases of Spark and the various interactive algorithms
    15. Learn Spark SQL, creating, transforming, and querying Data frames

    Who should take up this Big Data and Hadoop Certification Training Course?
    Big Data career opportunities are on the rise, and Hadoop is quickly becoming a must-know technology for the following professionals:
    1. Software Developers and Architects
    2. Analytics Professionals
    3. Senior IT professionals
    4. Testing and Mainframe professionals
    5. Data Management Professionals
    6. Business Intelligence Professionals
    7. Project Managers
    8. Aspiring Data Scientists

    Learn more at: https://www.simplilearn.com/big-data-and-analytics/big-data-and-hadoop-training?utm_campaign=Big-Data-bAyrObl7TYE&utm_medium=Tutorials&utm_source=youtube

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    - Website: https://www.simplilearn.com

    Get the Android app: http://bit.ly/1WlVo4u
    Get the iOS app: http://apple.co/1HIO5J0
    14279 Views
  • Big Data: el informe sobre el estallido social entregado por el gobierno que causó polémica

    Un informe del Ejecutivo para el Ministerio Público, que explica las causas del estallido social, se convirtió en trending topic de Twitter, ya que algunos de los datos entregados, por ejemplo la influencia del "k-pop" en las protestas, fueron cuestionados. Entérate de todo en Hola Chile.
    13249 Views
  • Medios de Corea del Sur se refieren a informa Big Data sobre k-popers y manifestaciones

    Más informaciones en » http://T13.cl

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    #Noticias #Chile #T13
    52740 Views
  • ¿Qué es el Big Data?

    El informe sobre la crisis social de Chile y que el director de la Agencia Nacional de Inteligencia le entregó al Ministerio Público, ha sido muy cuestionado por diversos actores sociales. Para saber más detalles del denominado Big Data revisa la entrevista a Carla Vairetti, investigadora del Instituto de sistemas Complejos de Ingeniería.

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    2449 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

 

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