Big Data Reviews

  • Tape is here to rescue big data

    Tape is a technology most of us stopped using decades ago, but now preserves some of the world’s most important data.

    This week Quartz News travels to Switzerland to understand why tech companies and research institutions like CERN, the largest particle physics lab in the world, rely on massive libraries filled with magnetic tapes.

    --

    Become a member of Quartz, your exclusive guide to the global economy: http://bit.ly/2E7e7jB

    WATCH OUR EXCLUSIVE SERIES; Because China
    https://qz.com/se/because-china/?utm_source=youtube&utm_medium=video-membership&utm_campaign=AllYTComments

    Quartz is a digital news outlet dedicated to telling stories at the intersection of the important and the interesting. Visit us at https://qz.com/ to read more.
    5997 Views
  • APA ITU BIG DATA?

    Big Data merupakan suatu fenomena besar yang sedang terjadi di dunia. Big Data tentunya memiliki banyak peranan penting dalam kehidupan, dan secara tidak langsung, Big Data telah mengubah cara hidup manusia.

    Big Data is a huge phenomenon that is happening in this world. Big Data has many important roles in our life and indirectly, it has changed the way human lives.


    Diproduksi oleh:
    UPT Balai Informasi Teknologi – Lembaga Ilmu Pengetahuan Indonesia
    www.bit.lipi.go.id
    158292 Views
  • Всё о Data Science / Big data и дополненная реальность / Интервью с Data Scientist

    В сегодняшнем выпуске у меня в гостях Data Scientist компании Banuba - Вячеслав Архипов.
    Слава провел полный экскурс в мир data sciense и анализа данных. Мы поговорили про нейронные сети, про генетические алгоритмы, про data sets, про big data, про machine learning, про deep learning, про биржевую торговлю, про augmented reality (дополненная реальность) и про многое другое.
    Мощное техническое интервью с математиком!
    Так что, заваривайте чаинский и приятного просмотра! 😎

    Канал Славы: http://bit.ly/2YUhJiM
    Сайт компании Banuba: http://bit.ly/2OMhVgf
    Ссылки из выпуска: https://t.me/itbeard/212
    Аудио-версия выпуска: http://bit.ly/2GTUw6q

    Специализация "Data Science" от SkillFactory: http://bit.ly/2YPxq6N
    Промокод на получение скидки 10%: АйТиБорода

    P.S. Все таймкоды выпуска есть в первом закрепленном комментарии 😉

    ___________________________________________________

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    #itbeard #айтиборода #datascience
    7662 Views
  • Big Data - Dangerous (Oliver Remix) | euphoria OST

    Music from euphoria (2019) distributed by HBO.
    euphoria (Soundtrack) by Various Artists.
    Playlist: https://www.youtube.com/playlist?list=PLDisKgcnAC4RosDaKczvXfalXuCwZTp6_
    116906 Views
  • Big Data Analytics using Python and Apache Spark | Machine Learning Tutorial

    Apache Spark is the most active Apache project, and it is pushing back Map Reduce. It is fast, general purpose and supports multiple programming languages, data sources and management systems. More and more organizations are adapting Apache Spark to build big data solutions through batch, interactive and stream processing paradigms. The demand for trained professionals in Spark is going through the roof. Being a new technology, there aren't enough training sources to provide easy guidance on building end-to-end solutions.


    Section 1: Introduction
    Lecture 1
    About the course
    08:42
    Lecture 2
    About V2 Maestros
    01:39
    Lecture 3
    Resource Bundle
    Article
    Section 2: Overview
    Lecture 4
    Hadoop Overview
    10:06
    Lecture 5
    HDFS Architecture
    14:46
    Lecture 6
    Map Reduce - How it works
    17:24
    Lecture 7
    Map Reduce - Example
    16:46
    Lecture 8
    Hadoop Stack
    06:27
    Lecture 9
    What is Spark?
    14:03
    Lecture 10
    Spark Architecture - Part 1
    13:23
    Lecture 11
    Spark Architecture - Part 2
    13:25
    Lecture 12
    Installing Spark and Setting up for Python
    12:05
    Quiz 1
    Hadoop and Spark Architecture
    5 questions
    Section 3: Programming with Spark
    Lecture 13
    Spark Transformations
    11:33
    Lecture 14
    Spark Actions
    15:04
    Lecture 15
    Advanced Spark Programming
    10:10
    Lecture 16
    Python - Spark Programming examples 1
    16:11
    Lecture 17
    Python - Spark Programming Examples 2
    17:18
    Quiz 2
    Data Engineering with Spark
    5 questions
    Lecture 18
    PRACTICE Exercise : Spark Operations
    Article
    Section 4: Spark SQL
    Lecture 19
    Spark SQL Overview
    10:03
    Lecture 20
    Python - Spark SQL Examples
    16:16
    Quiz 3
    Spark SQL
    2 questions
    Lecture 21
    PRACTICE Exercise : Spark SQL
    Article
    Section 5: Spark Streaming
    Lecture 22
    Streaming with Apache Spark
    15:53
    Lecture 23
    Python - Spark Streaming examples
    17:47
    Quiz 4
    Spark Streaming
    3 questions
    Section 6: Real time Data Science
    Lecture 24
    Basic Elements of Data Science
    11:51
    Lecture 25
    The Dataset
    10:44
    Lecture 26
    Learning from relationships
    12:55
    Lecture 27
    Modeling and Prediction
    09:31
    Lecture 28
    Data Science Use Cases
    07:47
    Lecture 29
    Types of Analytics
    12:08
    Lecture 30
    Types of Learning
    17:16
    Lecture 31
    Doing Data Science in real time with Spark
    07:39
    Quiz 5
    Spark Data Science
    5 questions
    Section 7: Machine Learning with Spark
    Lecture 32
    Spark Machine Learning
    12:18
    Lecture 33
    Analyzing Results and Errors
    13:46
    Lecture 34
    Linear Regression
    19:00
    Lecture 35
    Spark Use Case : Linear Regression
    18:33
    Lecture 36
    Decision Trees
    10:42
    Lecture 37
    Spark Use Case : Decision Trees Classification
    14:58
    Lecture 38
    Principal Component Analysis
    07:28
    Lecture 39
    Random Forests Classification
    10:31
    Lecture 40
    Python Use Case : Random Forests & PCA
    13:16
    Lecture 41
    Text Preprocessing with TF-IDF
    14:53
    Lecture 42
    Naive Bayes Classification
    19:21
    Lecture 43
    Spark Use Case : Naive Bayes & TF-IDF
    07:26
    Lecture 44
    K-Means Clustering
    11:53
    Lecture 45
    Spark Use Case : K-Means
    14:26
    Lecture 46
    Recommendation Engines
    11:55
    Lecture 47
    Spark Use Case : Collaborative Filtering
    06:34
    Lecture 48
    Real Time Twitter Data Sentiment Analysis
    10:11
    Quiz 6
    Spark Machine Learning Algorithms
    4 questions
    Lecture 49
    PRACTICE Exercise : Spark Clustering
    Article
    Lecture 50
    PRACTICE Exercise : Spark Classification
    Article
    Section 8: Conclusion
    Lecture 51
    Closing Remarks
    01:56
    Lecture 52
    BONUS Lecture : Other courses you should check out
    Article
    144040 Views
  • Big Data Explained

    Learn more about data in the cloud: http://ibm.biz/bd-cloud-learn

    Big data has been around the past few decades in a traditional form factor of big data systems such as a data warehouse but starting around the year 2000 Hadoop helped expand these integrated systems to be more open in terms of the data and analytics that could be supported.

    Check out this lightboard video with Torsten Steinbach from IBM Cloud as he goes through the evolution of big data and analytics and how serverless technology has made a big impact.

    Get started for free on IBM Cloud: http://ibm.biz/bd-cloud-free
    1460 Views
  • Big Data Analytics | Big Data Explained | Big Data Tools & Trends | Big Data Training | Edureka

    ** Big Data Hadoop Training: https://www.edureka.co/big-data-and-hadoop **
    This Edureka Big Data Analytics video will help you in understanding what is Big Data Analytics & how it is revolutionizing various domains. Below are the topics covered in this Big Data Analytics video:

    1) Why Big Data Analytics?
    2) What is Big DataAnalytics?
    3) Different Stages in Big Data Analytics
    4) Different Types of Big Data Analytics
    5) Tools used in Big Data Analytics
    6) Big Data Analytics in Different Domains
    7) Trends in Big Data Analytics

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

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

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    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

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    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

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    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.

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    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).

    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

    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.”
    24888 Views
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