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    HADOOP 2022 - Complete Google Data Engineer and Cloud Architect Guide | Simpliv

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    Website | Edit Freely

    Category Hadoop

    Deadline: December 30, 2022 | Date: December 30, 2022

    Venue/Country: Online Courses, U.S.A

    Updated: 2018-05-07 16:16:40 (GMT+9)

    Call For Papers - CFP

    This course is a really comprehensive guide to the Google Cloud Platform - it has 25 hours of content and 60 demos.

    The Google Cloud Platform is not currently the most popular cloud offering out there - that's AWS of course - but it is possibly the best cloud offering for high-end machine learning applications. That's because TensorFlow, the super-popular deep learning technology is also from Google.

    What's Included:

    Compute and Storage - AppEngine, Container Enginer (aka Kubernetes) and Compute Engine

    Big Data and Managed Hadoop - Dataproc, Dataflow, BigTable, BigQuery, Pub/Sub

    TensorFlow on the Cloud - what neural networks and deep learning really are, how neurons work and how neural networks are trained.

    DevOps stuff - StackDriver logging, monitoring, cloud deployment manager

    Security - Identity and Access Management, Identity-Aware proxying, OAuth, API Keys, service accounts

    Networking - Virtual Private Clouds, shared VPCs, Load balancing at the network, transport and HTTP layer; VPN, Cloud Interconnect and CDN Interconnect

    Hadoop Foundations: A quick look at the open-source cousins (Hadoop, Spark, Pig, Hive and HBase)

    Who is the target audience?

    Yep! Anyone looking to use the Google Cloud Platform in their organizations

    Yep! Any one who is interesting in architecting compute, networking, loading balancing and other solutions using the GCP

    Yep! Any one who wants to deploy serverless analytics and big data solutions on the Google Cloud

    Yep! Anyone looking to build TensorFlow models and deploy them on the cloud

    Basic knowledge

    Basic understanding of technology - superficial exposure to Hadoop is enough.

    What you will learn

    Deploy Managed Hadoop apps on the Google Cloud

    Build deep learning models on the cloud using TensorFlow

    Make informed decisions about Containers, VMs and AppEngine

    Use big data technologies such as BigTable, Dataflow, Apache Beam and Pub/Sub


    Phone no: 5108496155

    Click to Continue Reading:

    Registration Link:

    Simpliv Youtube Course & Tutorial :

    Facebook Page:



    Keywords: Accepted papers list. Acceptance Rate. EI Compendex. Engineering Index. ISTP index. ISI index. Impact Factor.
    Disclaimer: ourGlocal is an open academical resource system, which anyone can edit or update. Usually, journal information updated by us, journal managers or others. So the information is old or wrong now. Specially, impact factor is changing every year. Even it was correct when updated, it may have been changed now. So please go to Thomson Reuters to confirm latest value about Journal impact factor.