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TORRENT DETAILS
[FreeCoursesOnline.Me] A Cloud Guru - Google Certified Professional Data Engineer
TORRENT SUMMARY
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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!
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FILE LIST
Filename
Size
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
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