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Processing streaming data is becoming increasingly popular as streaming enables businesses to get real-time metrics on business operations. This course covers how to build streaming data pipelines on Google Cloud. Pub/Sub is described for handling

What you'll learn

Interpret use-cases for real-time streaming analytics.
Manage data events using the Pub/Sub asynchronous messaging service.
Write streaming pipelines and run transformations where necessary.
Interoperate Dataflow, BigQuery and Pub/Sub for real-time streaming and analysis

Introduction to Processing Streaming Data

This modules talks about challenges with processing streaming data

Processing Streaming Data
Introduction to Processing Streaming Data

Serverless Messaging with Pub/Sub

This module talks about using Pub/Sub to ingest incoming streaming data

Module introduction
Introduction to Pub/Sub
Pub/Sub Push versus Pull
Publishing with Pub/Sub code
Summary
Lab Intro: Publish Streaming Data into Pub/Sub
Getting Started with Google Cloud Platform and Qwiklabs
QUIZ
Lab: Streaming Data Processing: Publish Streaming Data into Pub/Sub

Dataflow Streaming features

This module revisits Dataflow and focuses on its streaming data processing capabilities

Module introduction
Preview module
Streaming data challenges
Dataflow windowing
Lab Intro: Streaming Data Pipelines
Dataflow Streaming Features
Lab: Streaming Data Processing: Streaming Data Pipelines

High-Throughput BigQuery and Bigtable Streaming Features

This modules covers BigQuery and Bigtable for streaming data

Module introduction
Streaming into BigQuery and visualizing results
Lab intro: Streaming Data Processing: Streaming Analytics and Dashboards
High-throughput streaming with Cloud Bigtable
Optimizing Cloud Bigtable Performance
Lab intro: Streaming Data Processing: Streaming Data Pipelines into Bigtable
2 QUIZZES
Streaming Analytics and Dashboards
High-Throughput Streaming with Cloud Bigtable
Lab: Streaming Data Processing: Streaming Analytics and Dashboards
Lab: Streaming Data Processing: Streaming Data Pipelines into Bigtable

Advanced Bigquery Functionality and Performance

This module dives into more advanced features of BigQuery

Module introduction
Analytic window functions
GIS functions
Demo: GIS Functions and Mapping with BigQuery
Performance considerations
Lab Intro: Optimizing your BigQuery Queries for Performance
Cost considerations
BigQuery advanced functionality and performance considerations
Optimizing your BigQuery Queries for Performance

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I have attended a training from Bilginc IT Academy before and I was satisfied.

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0 – 50

50 – 250

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Upcoming Trainings

Join our public courses in our New Zealand facilities. Private class trainings will be organized at the location of your preference, according to your schedule.

23 December 2024 (1 Day)
Auckland, Wellington, Christchurch
Classroom / Virtual Classroom

€1,365 +VAT
Book Now

23 December 2024 (1 Day)
Auckland, Wellington, Christchurch
Classroom / Virtual Classroom

€1,365 +VAT
Book Now

27 February 2025 (1 Day)
Auckland, Wellington, Christchurch
Classroom / Virtual Classroom

05 March 2025 (1 Day)
Auckland, Wellington, Christchurch
Classroom / Virtual Classroom

13 March 2025 (1 Day)
Auckland, Wellington, Christchurch
Classroom / Virtual Classroom

27 February 2025 (1 Day)
Auckland, Wellington, Christchurch
Classroom / Virtual Classroom

24 March 2025 (1 Day)
Auckland, Wellington, Christchurch
Classroom / Virtual Classroom

05 March 2025 (1 Day)
Auckland, Wellington, Christchurch
Classroom / Virtual Classroom

Building Resilient Streaming Analytics Systems on Google Cloud Training Course in New Zealand

New Zealand is an island country in the southwestern Pacific Ocean and it consists of two main islands and 700 smaller islands. Two main islands are the North Island and the South Island. The capital city of New Zealand is Wellington and the most popular city of the island country is Auckland. English, Māori and New Zealand Sign Language are the official languages of New Zealand. As of January 2022, the population of the country is about 5,138,120. 70% of the population are of European descent, 16.5% are indigenous Māori, 15.1% Asian and 8.1% non-Māori Pacific Islanders.

Since most of the country lies close to the coast, mild temperatures are observed year-round. January and February are the warmest months while July is the coldest month of the year. Fiordland, the first national park of New Zealand Tongariro

Unlock your potential in IT through our extensive selection of courses, which include programming, software development, data science, business skills, and cybersecurity. Our adept instructors will provide you with hands-on training and practical perspectives, all conveniently hosted at your desired location within New Zealand.

Building Resilient Streaming Analytics Systems on Google Cloud Training in New Zealand

What You Will Learn

Outline

Upcoming Trainings