Old Search System: big data



  • Oreilly - Big Data, Lean Startup

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    Oreilly - Big Data, Lean Startup

    Oreilly - Big Data, Lean Startup by Philip Kromer | Publisher: O'Reilly Media, Inc. |...


    How do you build a crack team of data scientists on a shoestring budget? In this 40-minute presentation from the co-founder of Infochimps, Flip Kromer will draw from his experiences as a teacher and his vast programming and data experience to share lessons learned in building a team of smart,...

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  • Oreilly - AWS Certified Big Data - Specialty Complete Video Course

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    Oreilly - AWS Certified Big Data - Specialty Complete Video Course

    Oreilly - AWS Certified Big Data - Specialty Complete Video Course by Noah Gift, Chris...


    11.5+ Hours of Video InstructionAWS leads the world in cloud computing and big data. This course offers the complete package to help practitioners master the core skills and competencies needed to build successful, high-value big data applications, with a clear path toward passing the certification exam AWS Certified Big Data...

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  • Big Data Isometric Illustration Concept

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    Big Data Isometric Illustration Concept

    Big Data Isometric Illustration Concept https://www.uplabs.com/posts/big-data-isometric-illustration-concept




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  • Big Data Isometric Illustration Concept

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    Big Data Isometric Illustration Concept

    Big Data Isometric Illustration Concept https://www.uplabs.com/posts/big-data-isometric-illustration-concept-bd4f2977-0349-461a-a950-8c18655ed66d




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  • Big Data Analysis Isometric Landing Page

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    Big Data Analysis Isometric Landing Page

    Big Data Analysis Isometric Landing Page https://www.uplabs.com/posts/big-data-analysis-isometric-landing-page




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  • VideoHive Big Data Trailer 21557745

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    VideoHive Big Data Trailer 21557745

    VideoHive Big Data Trailer 21557745CC 2019, CC 2018, CC 2017, CC 2016, CC 2015, CC...




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  • Oreilly - William McKnight Interview on Big Data and Hadoop

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    Oreilly - William McKnight Interview on Big Data and Hadoop

    Oreilly - William McKnight Interview on Big Data and Hadoop by William McKnight | Publisher:...


    Phil Simon interviews William McKnight, an internationally recognized authority in information management, corporate strategist, leading analyst and author of several books and dozens of papers. This interview covers:Shift in Technologies. From structured data to unstructured data, as well as the new breed of technologies for data such as Hadoop and...

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  • Lynda - Big Data Foundations: Program Management

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    Lynda - Big Data Foundations: Program Management

    Lynda - Big Data Foundations: Program Management Big data is a game changer. It's brought...


    Table of ContentsIntroduction1. Program Manager2. Your Team3. Preliminary Steps4. Program Milestones5. Manage Milestone Progress6. Program RisksConclusion

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  • Lynda - Big Data Foundations: Building Architecture and Teams

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    Lynda - Big Data Foundations: Building Architecture and Teams

    Lynda - Big Data Foundations: Building Architecture and Teams Enterprise data inevitably spans many systems....


    Table of ContentsIntroduction1. Modern Enterprise Data Architecture2. Your Data Architecture Team3. Your Enterprise Data Landscape4. Your Data Architecture5. The Future of Your Data6. The Future of Your Data TeamConclusion

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  • Lynda - Big Data Foundations: Techniques and Concepts

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    Lynda - Big Data Foundations: Techniques and Concepts

    Lynda - Big Data Foundations: Techniques and Concepts Big data is big news. But what...


    Table of ContentsIntroductionWhat Is Big Data?2. How Is Big Data used?3. Big Data and Data Science4. Ethics in Big Data5. Sources and Structures of Big Data6. Storing Big Data7. Preparing Data for Analysis8. Big Data AnalysisConclusion

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  • Lynda - Architecting Big Data Applications: Real-Time Application Engineering

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    Lynda - Architecting Big Data Applications: Real-Time Application Engineering

    Lynda - Architecting Big Data Applications: Real-Time Application Engineering Real-time systems have guaranteed response times...


    Table of ContentsIntroduction1. Real-Time Big Data2. Use Case 1: Social Media Sentiment Analysis (SM)3. Use Case 2: Real-Time Fraud Detection (FD)4. Use Case 3: Website Production Recommendations (PR)5. Use Case 4: Mobile Couponing (MC)Conclusion

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  • Lynda - Architecting Big Data Applications: Batch Mode Application Engineering

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    Lynda - Architecting Big Data Applications: Batch Mode Application Engineering

    Lynda - Architecting Big Data Applications: Batch Mode Application Engineering Batch mode consolidates data-related operations...


    Table of ContentsIntroduction1. Intro to Big Data Applications2. Use Case 1: Data Warehouse (DW)3. Use Case 2: Log Accumulation (LA)4. Use Case 3: IT Operations Analytics (OA)5. Use Case 4: Customer 360 (C360)6. Use Case 5: Customer Analytics (CA)Conclusion

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  • Lynda - Apache Spark Essential Training: Big Data Engineering

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    Lynda - Apache Spark Essential Training: Big Data Engineering

    Lynda - Apache Spark Essential Training: Big Data Engineering In order to construct data pipelines...


    Table of ContentsIntroduction1. Data Engineering Overview2. Moving Data with Kafka3. Spark High-Performance Processing4. Use Case ProjectConclusion

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  • Lynda - Analyzing Big Data with Hive

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    Lynda - Analyzing Big Data with Hive

    Lynda - Analyzing Big Data with Hive Businesses thrive by making informed decisions that target...


    Table of ContentsIntroduction1. Hive Concepts and Setup2. Working with Data in Hive3. Retrieving Data from Hive4. Aggregating Data5. Filtering Results6. Joining Tables7. Manipulating DataConclusion

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  • Big Data: Parallel Processing by SimpleIT (Updated 5/2019)

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    Big Data: Parallel Processing by SimpleIT (Updated 5/2019)

    Big data: Parallel Processing by SimpleIT English | 39:13 | Video 720p | Subtitles 'Must-see'...


    What you'll learn Explain how parallel processing works List main benefits of using parallel processing including its limitations Understand where and how parallel processing is already used in surrounding world Requirements Be able to absorb new information Curious of modern computing technology (no knowledge required) Description This course explains by...

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  • Big Data Illustration Vol 1

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    Big Data Illustration Vol 1

    Big Data Illustration Vol 1AI | EPS | 7.9 MB





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  • A Big Data Hadoop and Spark project for absolute beginners

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    A Big Data Hadoop and Spark project for absolute beginners

    A Big Data Hadoop and Spark project for absolute beginners MP4 | Video: h264, 1280x720...


    What you\'ll learn
    Big Data , Hadoop and Spark from scratch. You will also learn how to use free cloud tools to get started with Hadoop and Spark programming in minutes. Additionally you will find two bonus projects on AWS data lake solution and Machine Learning Classification model
    Requirements
    Students...

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  • Lynda - Big Data in the Age of AI

    Gamystyle

    Lynda - Big Data in the Age of AI

    Lynda - Big Data in the Age of AIEnglish | 2 hrs | Video: 720p...





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  • Big Data Analysis with Apache Spark PySpark: Hands on Python

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    Big Data Analysis with Apache Spark PySpark: Hands on Python

    Big Data Analysis with Apache Spark PySpark: Hands on Python English | 6.5h | Video...


    What you'll learn Basic overview of Spark technology End to end Installation of Apache spark in Windows machine End to end Installation of Apache spark in Linux machine Setup Apache Spark Cluster on Microsoft azure HDInsight Learn Spark SQL Learn Spark DataFrame API Spark Structured Streaming Requirements Experience with Programming...

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  • Apache Spark 2.4 for Big Data Applications

    Broknote

    Apache Spark 2.4 for Big Data Applications

    Apache Spark 2.4 for Big Data Applications MP4 | Video: h264, 1280x720 | Audio: AAC,...


    What you\'ll learn
    How to create RDD\'s, Dataframes and Datasets
    How to properly use Map, Reduce & Filter
    How to Partition RDD\'s in Distributed Systems
    Caching Datasets in Memory to Reduce computations
    How to tune Spark Programs
    How to run Iterative Algorithms on a cluster
    Difference between GroupByKey and ReduceByKey
    ...

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