[FreeCoursesOnline.Me] A Cloud Guru - Google Certified Professional Data Engineer

[FreeCoursesOnline.Me] A Cloud Guru - Google Certified Professional Data Engineer

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2.6 GB
Seeders
7
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0
Files
95
Category
Other
Added
04/16/20 at 11:21pm GMT+1
Infohash
b3e45da38277d7f9e4edc06c129c12fdfe2dba90

Description
Lynda and other Courses >>> https://www.freecoursesonline.me/

For Developer Tools & Apps >>> https://ftuapps.com/

Forum for discussion >>> https://1hack.us/







By: Tim Berry

Publisher: ACloud.Guru

Duration: 12.8 hours

Course Source: https://acloud.guru/learn/gcp-certified-professional-data-engineer



Learn how to design, build and operate powerful big data and machine learning solutions using Google Cloud Platform.



Description



Hello Cloud Gurus!



Data management, data analytics, machine learning and artificial intelligence are all hot topics. And who does these better than Google? Our Google Certified Professional Data Engineer course will help prepare you for the certification exam so you can take that next step in your Cloud career and demonstrate your proficiency in one of the most in-demand disciplines in the industry today.



The primary focus of this course is to prepare you for the GCP Professional Data Engineer certification exam. Along the way you’ll solidify your foundations in data engineering and machine learning, ensuring that by the end of the course you will be able to design and build data processing solutions, operationalize machine learning models and gain a working knowledge of relevant GCP data processing tools and technologies.



This course will teach you how to:



• Design, build and operationalize data solutions

• Process data streams in real-time

• Efficiently store and access data in the cloud

• Use the GCP pre-trained AI APIs (vision, speech and text)

• Train and operationalize ML models.



The Google Cloud Professional Data Engineer is for data scientists, solution architects, devops engineers and anyone wanting to move into machine learning and data engineering in the context of Google. Students will need to have some familiarity with the basics of GCP, such as: storage, compute and security; some basic coding skills (like Python); and a good understanding of databases. You do not need to have a background in data engineering or machine learning, but some experience with GCP is essential. This is an advanced certification and we strongly recommend that students take the Google Certified Associate Cloud Engineer exam before embarking on this course. However, anyone who is motivated and wants to understand how big data and machine learning is done on GCP will still find value with this course.



Keep being awesome, Cloud Gurus!



About Author



I'm a multi-skilled technologist with over 20 years of experience in the architecture and implementation of distributed enterprise systems. I've worked on large business-critical infrastructure overhauls, distributed virtualisation platforms and cloud migrations. I'm passionate about cloud-native technologies and automating all the things!








File list
  • [FreeCoursesOnline.Me] A Cloud Guru - Google Certified Professional Data Engineer
  • 0. Websites you may like/How you can help our Group!.txt 208 B
  • 01 Introduction/001 Welcome.mp4 30.2 MB
  • 01 Introduction/002 About This Course.mp4 48.4 MB
  • 01 Introduction/003 Course Audience and Prerequisites.mp4 12.3 MB
  • 02 Data Processing Fundamentals/001 Data Processing Concepts.mp4 93.7 MB
  • 02 Data Processing Fundamentals/002 Data Processing Pipelines.mp4 18.8 MB
  • 03 Storage and Databases/001 Introduction to Data Storage in GCP.mp4 59.1 MB
  • 03 Storage and Databases/002 Working with Data.mp4 16.2 MB
  • 03 Storage and Databases/003 Cloud Storage.mp4 23.1 MB
  • 03 Storage and Databases/003 GCS Documentation.txt 39 B
  • 03 Storage and Databases/003 GCS Pricing.txt 41 B
  • 03 Storage and Databases/004 GCS Access Control Lists (ACLs).txt 73 B
  • 03 Storage and Databases/004 GCS IAM Permissions.txt 75 B
  • 03 Storage and Databases/004 Service Accounts.mp4 14.9 MB
  • 03 Storage and Databases/005 BigQuery Data Transfer Service.txt 44 B
  • 03 Storage and Databases/005 Cloud Storage Transfer Service.txt 48 B
  • 03 Storage and Databases/005 Data Transfer Services.mp4 8.9 MB
  • 03 Storage and Databases/006 Cloud SQL Documentation.txt 35 B
  • 03 Storage and Databases/006 Cloud SQL.mp4 22.6 MB
  • 03 Storage and Databases/006 Replicating from an external server.txt 68 B
  • 03 Storage and Databases/006 Requirements and tips for configuring replication.txt 57 B
  • 03 Storage and Databases/007 forumdb.sql 65.5 KB
  • 03 Storage and Databases/007 LAB Creating a Cloud SQL Instance and Loading Data.mp4 29.5 MB
  • 03 Storage and Databases/008 Cloud Firestore Documentation.txt 41 B
  • 03 Storage and Databases/008 Cloud Firestore.mp4 23.6 MB
  • 03 Storage and Databases/009 ANSI SQL best practices.txt 57 B
  • 03 Storage and Databases/009 CAP Theorem.txt 42 B
  • 03 Storage and Databases/009 Cloud Spanner Documentation.txt 39 B
  • 03 Storage and Databases/009 Cloud Spanner.mp4 28.3 MB
  • 03 Storage and Databases/009 Distributed database quorums.txt 61 B
  • 03 Storage and Databases/009 Multi-regional best practices.txt 76 B
  • 03 Storage and Databases/009 Regional best practices.txt 72 B
  • 03 Storage and Databases/010 GCP Samples (C).txt 59 B
  • 03 Storage and Databases/010 GCP Samples (Go).txt 54 B
  • 03 Storage and Databases/010 GCP Samples (Java).txt 57 B
  • 03 Storage and Databases/010 GCP Samples (PHP).txt 56 B
  • 03 Storage and Databases/010 GCP Samples (Python).txt 59 B
  • 03 Storage and Databases/010 GCP Samples (Ruby).txt 57 B
  • 03 Storage and Databases/010 LAB Working with Cloud Spanner.mp4 21.8 MB
  • 03 Storage and Databases/010 Node.txt 45 B
  • 03 Storage and Databases/010 spannerlab-schema.sql 349 B
  • 03 Storage and Databases/011 Cloud Memorystore Documentation.txt 49 B
  • 03 Storage and Databases/011 Cloud Memorystore.mp4 10.4 MB
  • 03 Storage and Databases/012 LAB Working with Cloud Memorystore.mp4 36 MB
  • 03 Storage and Databases/012 Redis-CLI Documentation.txt 33 B
  • 03 Storage and Databases/012 Retwis GitHub repo.txt 46 B
  • 03 Storage and Databases/013 Comparing Storage Options.mp4 14.7 MB
  • 03 Storage and Databases/014 Exam Tips.mp4 6.9 MB
  • 04 Big Data Ecosystem/001 MapReduce research paper.pdf 186.2 KB
  • 04 Big Data Ecosystem/001 MapReduce.mp4 49 MB
  • 04 Big Data Ecosystem/002 Hadoop HDFS.mp4 22.8 MB
  • 04 Big Data Ecosystem/003 Apache Pig.mp4 7.4 MB
  • 04 Big Data Ecosystem/004 Apache Spark.mp4 30.2 MB
  • 04 Big Data Ecosystem/005 Apache Kafka.mp4 17.1 MB
  • 05 Real Time Messaging with PubSub/001 PubSub Concepts.mp4 51.3 MB
  • 05 Real Time Messaging with PubSub/002 PubSub Basics.mp4 8.9 MB
  • 05 Real Time Messaging with PubSub/003 LAB Working with Cloud PubSub.mp4 31.7 MB
  • 05 Real Time Messaging with PubSub/004 bored.py 1005 B
  • 05 Real Time Messaging with PubSub/004 GCP Samples (C).txt 59 B
  • 05 Real Time Messaging with PubSub/004 GCP Samples (Go).txt 54 B
  • 05 Real Time Messaging with PubSub/004 GCP Samples (Java).txt 57 B
  • 05 Real Time Messaging with PubSub/004 GCP Samples (PHP).txt 56 B
  • 05 Real Time Messaging with PubSub/004 GCP Samples (Python).txt 59 B
  • 05 Real Time Messaging with PubSub/004 GCP Samples (Ruby).txt 57 B
  • 05 Real Time Messaging with PubSub/004 LAB Cloud PubSub Client Libraries.mp4 40.6 MB
  • 05 Real Time Messaging with PubSub/004 Node.txt 44 B
  • 05 Real Time Messaging with PubSub/005 Advanced PubSub.mp4 17.3 MB
  • 05 Real Time Messaging with PubSub/005 PubSub IAM Roles.txt 67 B
  • 05 Real Time Messaging with PubSub/005 PubSub Stackdriver Metrics.txt 63 B
  • 05 Real Time Messaging with PubSub/006 LAB Loosely Coupled Services with Cloud PubSub.mp4 35.8 MB
  • 05 Real Time Messaging with PubSub/006 Source Code gen_thumbnail.Source Code gen_thumbnail 2.3 KB
  • 05 Real Time Messaging with PubSub/007 LAB Stream Data through Cloud PubSub to BigQuery.mp4 59.6 MB
  • 05 Real Time Messaging with PubSub/007 MOCK_DATA.csv 39.2 KB
  • 05 Real Time Messaging with PubSub/007 transactions.py 1.1 KB
  • 05 Real Time Messaging with PubSub/008 Exam Tips.mp4 11 MB
  • 06 Pipelines with Cloud Dataflow/001 Apache Beam overview.txt 51 B
  • 06 Pipelines with Cloud Dataflow/001 Apache Beam programming model.txt 71 B
  • 06 Pipelines with Cloud Dataflow/001 Dataflow Introduction.mp4 15.4 MB
  • 06 Pipelines with Cloud Dataflow/002 Pipeline Lifecycle.mp4 16.1 MB
  • 06 Pipelines with Cloud Dataflow/003 Dataflow Pipeline Concepts.mp4 15.2 MB
  • 06 Pipelines with Cloud Dataflow/004 Advanced Dataflow Concepts.mp4 15.2 MB
  • 06 Pipelines with Cloud Dataflow/004 Concepts.txt 71 B
  • 06 Pipelines with Cloud Dataflow/005 Dataflow Security and Access.mp4 17.1 MB
  • 06 Pipelines with Cloud Dataflow/006 Deploying a pipeline.txt 67 B
  • 06 Pipelines with Cloud Dataflow/006 Using Dataflow.mp4 22.1 MB
  • 06 Pipelines with Cloud Dataflow/007 Exam Tips.mp4 10.4 MB
  • 06 Pipelines with Cloud Dataflow/008 Lab Commands.Lab Commands 586 B
  • 06 Pipelines with Cloud Dataflow/008 LAB Working with Cloud Dataflow.mp4 31.6 MB
  • 06 Pipelines with Cloud Dataflow/009 Beam Programming Guide.txt 57 B
  • 06 Pipelines with Cloud Dataflow/009 Lab Code.Lab Code 3.1 KB
  • 06 Pipelines with Cloud Dataflow/009 Lab Commands.Lab Commands 479 B
  • 06 Pipelines with Cloud Dataflow/009 LAB Streaming Pipelines with Cloud Dataflow.mp4 60 MB
  • 07 Managed Spark with Cloud Dataproc/001 Dataproc Overview.mp4 8.9 MB
  • 07 Managed Spark with Cloud Dataproc/002 Dataproc Basics.mp4 8.3 MB
  • 07 Managed Spark with Cloud Dataproc/003 Estimating Pi using the Monte Carlo method.txt 53 B

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