Big Data Reviews

  • 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:

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  • Big Data - cosa sono e dove ci stanno portando


    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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  • 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

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    #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:

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  • การบันทึกข้อมูลครู Big Data กระทรวงศึกษาธิการ(สพฐ.) ง๊ายง่าย!! ใน 5 นาที :: By ครูกิ๊ก

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

    ** ช่วงกลางวันคนจะเข้าเยอะนะคะ เว็บจะช้านิดนึง
    โดย ครูกฤติยา พลหาญ (ครูกิ๊ก)
    ครู โรงเรียนเสลภูมิพิทยาคม
  • 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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  • Big Data Goes Real

    Oct.17 -- Snowflake Co-Founder & President of Products Benoit Dageville, Datadog Co-founder and Chief Technology Officer Alexis Lê-Quôc, Confluent Chief Technology Officer & Chief Product Officer Neha Narkhede discuss how the cloud will enable companies to use data in real-time with Bloomberg’s Joshua Brustein at The CIO Exchange in New York on October 16, 2019.

    Viví #DamnHiphop de LUNES a VIERNES de 20 a 22 hs. (Argentina) por o en Televisión en el canal 502 de Cablevisión Flow o en radio a través de FM 92.1

    #Hiphop #Radio

    Reviví los mejores momentos del programa en nuestro canal:

    Hay mucho más Damn! en las redes:

    DAMN! © Todos los derechos reservados.
  • Does Big Data Spell Big Trouble?

    Have more questions that need to get answered?
    Call: 877-410-1414

    Links to slides and sources:

    Facebook announced their entry into currency creation space via their new cryptocurrency, Libra and global governments are riled. Why? Because it poses a threat to their money monopoly.

    On August 5, 2019, the Board of Governors of the Federal Reserve System announced a new instant payment system, FedNow, with their own CBDC at the heart. This new, universally interoperable system would tie all banks and fintech companies under the direct control of the Fed, which seems an awful lot like the structure of the Chinese CBDC and payment system that is set to launch before Facebook launches Libra.

    And because CBDCs are designed to mimic cash (like initially, cash was designed to mimic sound money gold in 1913), the general public would be lulled into believing that nothing has changed, when in reality, everything will have changed with central bankers in full control of every penny earned, spent and saved. YIKES!

    With central bankers in full control, there is no way to protect your principal from negative yields and because computer digits are infinitely divisible, there could be a new inflation/deflation tool in their toolbox. You will do what they want. So the big question is, is there another choice? And the answer is yes.

    Because once fully implemented, cash use would no longer be an option, but physical gold and silver remains the largest petal in the BIS money flower, that is outside of the central bank system, and is universally accepted for peer-to-Peer transactions.
    Why are Central Banks buying gold? Because financial shields are made of gold and silver.


    For Critical Info, Strategies, and Updates, Subscribe here:


    If you want to know what to actually DO about all of this, that's what we specialize in at ITM Trading. How do you protect your wealth for the next collapse and financial reset?

    Yes Gold and Silver, but what types? How much of each? What strategy? And what long term plan?

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    ITM Trading Inc. © Copyright, 1995 - 2018 All Rights Reserved.
  • Big Data & Hadoop Full Course - Learn Hadoop In 10 Hours | Hadoop Tutorial For Beginners | Edureka

    🔥 Edureka Big Data Architect Master Program:
    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:
    🔵 Edureka Spark Training:
    🔵 Edureka Kafka Training:
    🔵 Edureka Cassandra Training:
    🔵 Edureka Talend Training:
    🔵 Edureka Hadoop Administration Training:




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  • Big Data is Dead, Long Live Its Replacement

    Big Data is experiencing a second revolution. This talk will address what’s happened, how it happened and what big data is bridging too. Enterprise companies have to make business critical decisions in the coming years and the marketplace is not clear. The recent changes in the Big Data market will be reviewed as well as the effects on the related ecosystem. The goal of this presentation is to provide insights to engineers, data engineers and data scientists to better navigate a rapidly moving landscape.

    Tom Fisher is a Board Member at Rambus and currently serves as an investor and advisor to several emerging technology companies and venture funds. Tom was previously CTO at MapR Technologies where he focused on customer engagements in digital transformation, artificial intelligence, machine learning, and data governance. Tom joined MapR from Oracle where he was CIO for Global Commercial Cloud Services for over five years. Prior to joining Oracle, Tom served as CIO at SuccessFactors, now SAP. He also served as CIO of CDMA Technologies at Qualcomm, where he was responsible for establishing the IT strategy for digital transformation and built an alliance with the leading fabless semiconductor companies globally. Prior to Qualcomm, he was Vice President and acting CTO at eBay Inc. Tom holds a Bachelor of Arts degree from the University of North Carolina in Charlotte and multiple post-graduate certifications at Stanford University. Tom is widely published on the Forbes Technology Forum and has been recognized as a top CIO.
The Number One Menace to All Organizations

Learn more about how to protect your organization against this growing menace


Big Data News