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Google Cloud Data Engineer Training  | GCP Data Engineering Training

Building streaming data pipelines on Google Cloud

Streaming analytics pipelines are designed to process and analyze real-time data streams, allowing organizations to derive insights and take immediate actions. The architecture of streaming analytics pipelines can vary based on specific use cases, requirements, and the technologies chosen. However, a typical streaming analytics pipeline consists of several key components. Here's a general overview:

1. Data Sources:  Streaming Data Generators:  These are the sources that produce real-time data streams. Examples include it devices, social media feeds, log files, sensors, and more. Google Cloud Data Engineer Training

2. Data Ingestion:   Ingestion Layer: Responsible for collecting and bringing in data from various sources. Common tools and frameworks include Apache Kafka, Apache Flank, Apache Pulsar, Amazon Kinesis, and more.  GCP Data Engineer Training in Ameerpet

3. Data Processing:  stream Processing Engine: This component processes and analyzes the incoming data in real-time. Popular stream processing engines include Apache flank, Apache Storm, Apache Spark Streaming, and others. GCP Data Engineering Training

 Event Processing: Handles events and triggers based on specific conditions or patterns in the data. This could involve complex event processing (CEP) engines.

4. Data Storage: Streaming Storage: Persistent storage for real-time data. This may include databases optimized for high-speed data ingestion, such as Apache Cassandra, Amazon Dynamo DB Streams, or other NoSQL databases.

5. Analytics and Machine Learning: Analytical Engine Execute queries and perform aggregations on the streaming data. Examples include Apache Flank’s CEP library, Apache Spark's Structured Streaming, or specialized analytics engines. Machine Learning Integration: Incorporate machine learning models for real-time predictions, anomaly detection, or other advanced analytics. Apache Kafka, for example, provides a platform for building real-time data pipelines and streaming applications that can integrate with machine learning

6. Visualization and Reporting:  Display real-time insights and visualizations. Tools like Kabana, grana, or custom dashboards can be used to monitor and visualize the analytics results.

7. Alerting and Notification Alerting Systems: Trigger alerts based on predefined conditions or anomalies in the data. This could involve integration with tools like Pager Duty, Slack, or email notifications.

8. Data Governance and Security: Security Measures: Implement encryption, authentication, and authorization mechanisms to secure the streaming data. Track metadata associated with the streaming data for governance and compliance purposes.

9. Scaling and Fault Tolerance: Scalability Design the pipeline to scale horizontally to handle varying data loads. Fault Tolerance: Implement mechanisms for handling failures, such as backup and recovery strategies, to ensure the robustness of the pipeline. Google Cloud Data Engineering Course

10. Orchestration and Workflow Management:  Workflow Engines: Coordinate and manage the flow of data through the pipeline. Tools like Apache Airflow or Kubernetes-based orchestrators can be used. Google Cloud Data Engineering Course

11. Integration with External Systems:  External System Integration: Connect the streaming analytics pipeline with other systems, databases, or applications for a comprehensive solution.

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GCP Data Engineer

[gkcloudsolutions]

Data Engineering on GCP | Google Cloud Data Engineer | GKCS

Course Description

This four-day instructor-led class provides participants a hands-on introduction to designing and building data processing systems on Google Cloud Platform. Through a combination of presentations, demos, and hand-on labs, participants will learn how to design data processing systems, build end-to-end data pipelines, analyze data and carry out machine learning. The Data Engineering on GCP course covers structured, unstructured, and streaming data.

Objectives

This Google Cloud Data Engineer course teaches participants the following skills:

Design and build     data processing systems on Google Cloud Platform

Process batch and     streaming data by implementing autoscaling data pipelines on Cloud     Dataflow

Derive business     insights from extremely large

datasets using     Google BigQuery

Train, evaluate     and predict using machine learning models using Tensorflow and Cloud ML

Leverage     unstructured data using Spark and ML APIs on Cloud Dataproc

Enable instant     insights from streaming data

Audience

This class is intended for the following:

Extracting, loading, transforming, cleaning,     and validating data

Designing pipelines and architectures for data     processing

Creating and maintaining machine learning and     statistical models

Querying datasets, visualizing query results     and creating reports

Prerequisites

To get the most of out of this course, participants should have:

Completed Google     Cloud Fundamentals- Big Data and Machine Learning course #8325 OR have     equivalent experience

Basic proficiency     with common query language such as SQL

Experience with     data modeling, extract, transform, load activities

Developing     applications using a common programming language such Python

Familiarity with    Machine Learning and/or statistics

Content

The course includes presentations,     demonstrations, and hands-on labs.

Leveraging Unstructured Data with Cloud     Dataproc on Google Cloud Platform

Module 1: Google Cloud Dataproc Overview

Module 2: Running Dataproc Jobs

Module 3: Integrating Dataproc with Google Cloud Platform

Module 4: Making Sense of Unstructured Data with Google’s Machine Learning APIs

Module 5: Serverless data analysis with BigQuery

Module 6: Serverless, autoscaling data pipelines with Dataflow

Module 7: Getting started with Machine Learning

Module 8: Building ML models with Tensorflow

Module 9: Scaling ML models with CloudML

Module 10: Feature Engineering

Module 11: Architecture of streaming analytics pipelines

Module 12: Ingesting Variable Volumes

Module 13: Implementing streaming pipelines

Module 14: Streaming analytics and dashboards

Module 15: High throughput and low-latency with Bigtable

For more IT Training on Google Cloud Courses visit GK Cloud Solutions.

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Visualpath provides top-quality GCP Data Engineer Online Training conducted by real-time experts. Our training is available worldwide, and we offer daily recordings and presentations for reference. Call us at +91-9989971070 for a free demo.

WhatsApp: https://www.whatsapp.com/catalog/919989971070/

Blog Visit: https://gcpdataengineering.blogspot.com/

Visit:  https://visualpath.in/gcp-data-engineering-online-traning.html

[kittu800]

#Visualpath provides top-quality #gcpdataengineer Online Training conducted by real-time experts. Our training is available #worldwide, and we offer daily recordings and presentations for reference. Enroll with us for a free demo call us at +91-9989971070

Telegram: https://t.me/visualpathsoftwarecourses

WhatsApp: https://www.whatsapp.com/catalog/919989971070

Visit: https://visualpath.in/gcp-data-engineering-online-traning.html

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Visualpath provides top-quality GCP Data Engineer Online Training conducted by real-time experts. Our training is available worldwide, and we offer daily recordings and presentations for reference.  Enroll with us for a free demo call us at +91-9989971070 

WhatsApp:https://www.whatsapp.com/catalog/919989971070/

Visit: https://visualpath.in/gcp-data-engineering-online-traning.html

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Visualpath provides top-quality GCP Data Engineer Online Training conducted by real-time experts. Our training is available worldwide, and we offer daily recordings and presentations for reference. Call us at +91-9989971070 for a free demo.

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Visit: https://www.visualpath.in/gcp-data-engineering-online-traning.html

[kittu800]

Visualpath provides top-quality GCP Data Engineer Online Training conducted by real-time experts. Our training is available worldwide, and we offer daily recordings and presentations for reference.  Enroll with us for a free demo call us at +91-9989971070 

WhatsApp:https://www.whatsapp.com/catalog/919989971070/

Visit: https://www.visualpath.in/gcp-data-engineering-online-traning.html

[kittu800]

Visualpath provides top-quality GCP Data Engineer Online Training conducted by real-time experts. Our training is available worldwide, and we offer daily recordings and presentations for reference. Call us at +91-9989971070 for a free demo.

WhatsApp: https://www.whatsapp.com/catalog/919989971070/

Visit: https://visualpath.in/gcp-data-engineering-online-traning.html

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GCP Data Engineering Online Recorded Demo Video

Mode of Training: Online

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GCP Data Engineering Online Recorded Demo Video

Mode of Training: Online

Contact +91-9989971070

Visit: https://visualpath.in/

Subscribe  Visualpath channel  https://youtu.be/sg_rnfEEIsw?si=HiqASlu0kLCzSgvw

Watch demo video@ https://youtu.be/sg_rnfEEIsw?si=fJDVHhtYVM3fm6Dm