Big Data Reviews

  • “The Great Hack”: Big Data Firms Helped Sway the 2016 Election. Could It Happen Again in 2020?

    The documentary “The Great Hack,” which was shortlisted from the Oscars, explores how the data firm Cambridge Analytica came to symbolize the dark side of social media in the wake of the 2016 U.S. presidential election. Cambridge Analytica collapsed in May 2018 after The Observer newspaper revealed the company had harvested some 87 million Facebook profiles without the users’ knowledge or consent. Cambridge Analytica then used the data to sway voters to support President Trump during the 2016 campaign. We speak with “The Great Hack” co-directors Karim Amer and Jehane Noujaim, as well as Cambridge Analytica whistleblower Brittany Kaiser.


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  • Jueves de Mayol y el ridículo del gobierno con la Big Data y Hyundai en Chacao

    La tradición republicana de los jueves junto a Pablo Aranzaes y el sensei, maestro y gran gurú Ignacio Pérez Tuesta
  • ¿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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  • Medios de Corea del Sur se refieren a informa Big Data sobre k-popers y manifestaciones

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  • Informe BigData: Gobierno descarta haberlo encargado y Fiscalía analizará los datos

    El Gobierno descartó haber encargado el informe Big Data que resume el comportamiento de Redes Sociales en época de estallido social, y que asegura que hubo influencia extranjera en los disturbios. El análisis fue puesto a disposición de la Fiscalía Nacional. En tanto, parlamentarios de la oposición cuestionan el resultado del análisis.
  • Informe Big Data no podría usarse como evidencia

    Más de 60 millones de comentarios en redes sociales fueron analizados por la inteligencia chilena a partir de la explosión social. Entre sus conclusiones aparece que en el movimiento habría participación extranjera, tal como lo había anunciado el Gobierno. Pese a la validez que pueda tener el documento, el Ministerio Público aseguró que este no puede ser utilizado como evidencia en una investigación oficial.

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  • #DebateLT | Reacciones al informe Big Data del Gobierno

    Nos acompañan el senador Evópoli, Felipe Kast, y la senadora DC, Ximena Rincón, para profundizar en los resultados del informe elaborado por el gobierno de cara al estallido social y analizar los temas que marcan la agenda. ¡Comenta y comparte!
  • 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.
  • BIG DATA: MONLAFERTE, la más buscada del país y la guerra contra carabineros

    La violencia contra carabineros
  • Big Data In 5 Minutes | What Is Big Data?| Introduction To Big Data |Big Data Explained |Simplilearn

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    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.

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    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

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