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Remember: All of our classroom courses are available as live instructor-led training which you can attend from home.

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Data Engineering With Google Cloud Platform - Philippines

Key points about this course


Duration: 3 Days*

Support: 24/7

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  • Gain a comprehensive knowledge of how to create Hadoop clusters with Google Cloud Dataproc
  • Learn how to add machine learning capabilities to Big Data analysis.
  • Develop your knowledge and skillset to build a real-time dashboard to visualise processed

Available delivery methods for this course

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We understand that people may have limited budgets.

  • To help and support our clients we will provide limited number of 250 daily discount codes.
  • Hurry first come, first served!
  • If you miss out, enquire to get yourself on the waiting list for the next day!

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Why Home Virtual is great

With an incredibly easy to use interface, our chosen platform has been designed to make learning online simple and enjoyable. It’s amazing video & audio quality means you won’t miss a thing.

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Revisit what you’ve learnt at any time.
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Key points about this course


Duration: 3 Days*

Support: 24/7

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Find out more

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Limited Budget?

We understand that people may have limited budgets.

  • To help and support our clients we will provide limited number of 250 daily discount codes.
  • Hurry, they’re first come, first served!
  • If you miss out, enquire to get yourself on the waiting list for the next day!

  Enquire for daily discount code 110  Remaining (Live Counter)

Key points about this course


Duration: 3 Days*

Support: 24/7


Course Information

Data Engineering with Google Cloud Platform​ Course Overview

As we all know, Google is the curiosity Planner within Global technologies development. Google always responsible for changing the Curiosity to implementation the terms with perfections. The Google cloud platform provided numerous services for users and developers to develop future technologies and products. Google provides the data engineering service on its Google Cloud Platform. By collecting transforming and publishing data Engineer can enable data-driven for decision-making term. Data engineer can design, build, operationalise, secure and monitor data processing systems with a particular emphasis on security and compliance as well as scalability, efficiency, reliability and portability. Data engineer can able to leverage, deploy and continuously train pre-existing machine learning models.

This 3-day course provides the ability to implementation of data processing arrangements on the Google Cloud Platform. Delegates will learn about Google Cloud platform services are using for Data management. The Google cloud DataProc and its running Jobs concepts are also included in this course. Delegates will gain a better knowledge of how to design and build data processing systems on this platform as well as learn about process batch and streaming data by implementing autoscaling data pipelines on Cloud Dataflow. They also gain an understanding of how to integrating Dataproc with Google Cloud Platform. Also, Delegates have a chance to acquire technical knowledge of unstructured data with Google’s machine learning APIs and also gain an understanding of serverless Data Concepts from this course. They will gather knowledge of how to design a data processing system, build an end to end data pipelines, analyse data and machine learning.

Course Outline

The following modules are focused on acquiring knowledge about the Data Engineering on Google Cloud Platform. Delegates will learn about google cloud Dataproc and its running jobs as well as get an understanding of how to integrating Dataproc with Google Cloud platform. These modules will cover all essential concepts that required to become a Data Engineer on Google Cloud Platform.

Module 1: Google Cloud Dataproc Overview

  • Dataproc Overview
  • Understand Creating and Managing Clusters
  • Custom Machine types and preemptible worker nodes
  • Scaling and deleting Clusters
  • Creating Hadoop Clusters with Google Cloud Dataproc

Module 2: Running Dataproc Jobs

  • Running Pig and Hive jobs.
  • Separation of storage and compute
  • Understand Running Hadoop and Spark Jobs with Dataproc
  • Understand Submit and Monitor jobs

Module 3: Integrating Dataproc with Google Cloud Platform

  • Understand the Customise Cluster with initialisation Activities
  • Understand BigQuery Support
  • Understand GCP Services

Module4: Unstructured Data with Google’s Machine Learning APIs

  • Machine Learning APIs 
  • Use Cases of ML
  • Understand ML APIs
  • Adding Machine Learning Capabilities to Big Data Analysis

Module 5: Serverless Data Analysis with BigQuery

  • BigQuery Overview
  • Learn about Functions and Queries
  • Writing queries in BigQuery
  • Loading data into BigQuery
  • Exporting data from BigQuery
  • Loading and exporting data
  • Nested and repeated fields
  • Querying multiple tables
  • Complex queries

Module 6: Serverless, autoscaling data pipelines with Dataflow

  • Beam programming model Overview
  • Understand Data pipelines in Beam Python
  • Understand Data pipelines in Beam Java
  • Writing a Dataflow pipeline
  • Scalable Big Data processing using Beam
  • MapReduce in Dataflow
  • Incorporating additional data
  • Side inputs
  • Handling stream data
  • GCP Reference architecture

Module 7: Getting started with Machine Learning

  • What is machine learning (ML)
  • Machine Learning Types
  • Explore and create ML datasets

Module 8: Building ML models with Tensorflow

  • Understand TensorFlow
  • TensorFlow graphs and loops
  • Understand Use low-level TensorFlow
  • Understand Monitoring ML training
  • Charts and graphs of TensorFlow training

Module 9: Scaling ML models with CloudML

  • Cloud ML Overview
  • Understand TensorFlow model
  • Understand Running of ML Model

Module 10: Architecture of streaming analytics pipelines

  • Understand Stream data processing
  • Handling variable data volumes
  • Learn about unordered/late data
  • Designing a streaming pipeline

Module 11: Ingesting Variable Volumes

  • Cloud Pub/Sub Overview
  • Working of Cloud Pub/Sub

Module 12: Implementing streaming pipelines

  • Stream Processing Overview
  • Handle late data
    • Watermarks
    • Triggers
    • Accumulation
  • Understand Stream data processing pipeline

Module 13: Streaming analytics and dashboards

  • Streaming Analytics Overview
  • Querying Streaming Data with BigQuery
  • Google Data Studio Overview
  • Build a real-time Dashboard to visualise processed data

Module 14: High throughput and low-latency with Bigtable

  • Cloud Spanner Overview
  • Designing Bigtable schema
  • Ingesting into Bigtable
  • Understand streaming into Bigtable

Prerequisites

There are no formal prerequisites for this course. It would be great if delegates have basic knowledge of managing data and its operations.

Audience

This course is designed for IT Professionals and Google Cloud platform learner. This course is also beneficial for who wants to be a certified engineer for this technology.

Please arrive at the venue at 8:45am.
There are no formal prerequisites for this course. It would be great if delegates have basic knowledge of managing data and its operations.
This course is designed for IT Professionals and Google Cloud platform learner. This course is also beneficial for who wants to be a certified engineer for this technology.
We are able to provide support via phone & email prior to attending, during and after the course.
Delegate pack consisting of course notes and exercises, Manual, Experienced Instructor, and Refreshments
This course is 3 days.
Once your booking has been placed and confirmed, you will receive an email which contains your course location, course overview, pre-course reading material (if required), course agenda and payment receipts
The price for Data Engineering with Google Cloud Platform certification in Philippines starts from $2695
The Knowledge Academy is the Leading global training provider in the world for Data Engineering with Google Cloud Platform.
  • Delegate pack consisting of course notes and exercises
  • Manual
  • Experienced Instructor

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You won't find better value in the marketplace. If you do find a lower price, we will beat it.

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Various delivery methods

Flexible delivery methods are available depending on your learning style.

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Resources

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"Really good course and well organised. Trainer was great with a sense of humour - his experience allowed a free flowing course, structured to help you gain as much information & relevant experience whilst helping prepare you for the exam"

Joshua Davies, Thames Water

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"...the trainer for this course was excellent. I would definitely recommend (and already have) this course to others."

Diane Gray, Shell

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