[RETIRED] AWS Certified Data Analytics Specialty – Hands On!
[RETIRED] AWS Certified Data Analytics Specialty – Hands On! Course. Practice exam included! AWS DAS-C01 certification prep course with exercises. Kinesis, EMR, DynamoDB, Redshift and more!
AWS Certified Data Analytics Specialty Course Content Overview
Udemy [RETIRED] AWS Certified Data Analytics Specialty – Hands On! Course
AWS HAS RETIRED THIS EXAM AS OF APRIL 9 2024, REPLACING IT WITH THE CERTIFIED DATA ENGINEER – ASSOCIATE EXAM. THIS COURSE IS NO LONGER UPDATED AND THE EXAM IT COVERS NO LONGER EXISTS.
The AWS Certified Data Analytics Specialty Exam is one of the most challenging certification exams you can take from Amazon. Passing it tells employers in no uncertain terms that your knowledge of big data systems is wide and deep. But, even experienced technologists need to prepare heavily for this exam. This course sets you up for success, by covering all of the big data technologies on the exam and how they fit together.
Best-selling Udemy instructors Frank Kane and Stéphane Maarek have teamed up to deliver the most comprehensive and hands-on prep course we’ve seen. Together, they’ve taught over 2 million people around the world. This course combines Stéphane’s depth on AWS with Frank’s experience in Big Data, gleaned during his 9-year career at Amazon itself. Both Frank and Stéphane have taken and passed the exam themselves on the first try.
The world of data analytics on AWS includes a dizzying array of technologies and services. Just a sampling of the topics we cover in-depth are:
- Streaming massive data with AWS Kinesis
- Queuing messages with Simple Queue Service (SQS)
- Transitioning from small to big data with the AWS Database Migration Service (DMS)
- Storing massive data lakes with the Simple Storage Service (S3)
- Optimizing transactional queries with DynamoDB
- Tying your big data systems together with AWS Lambda
- Making unstructured data query-able with AWS Glue, Glue ETL, Glue DataBrew, Glue Studio, and Lake Formation
- Processing data at unlimited scale with Elastic MapReduce, including Apache Spark, Hive, HBase, Presto, Zeppelin, Splunk, and Flume
- Applying neural networks at massive scale with Deep Learning, MXNet, and Tensorflow
- Applying advanced machine learning algorithms at scale with Amazon SageMaker
- Analyzing streaming data in real-time with Kinesis Analytics
- Searching and analyzing petabyte-scale data with Amazon Opensearch (formerly Elasticsearch) Service
- Querying S3 data lakes with Amazon Athena
- Hosting massive-scale data warehouses with Redshift and Redshift Spectrum
- Integrating smaller data with your big data, using the Relational Database Service (RDS) and Aurora
- Visualizing your data interactively with Quicksight
- Keeping your data secure with encryption, KMS, HSM, IAM, Cognito, STS, and more
Throughout the course, you’ll have lots of opportunities to reinforce your learning with hands-on exercises and quizzes. And when you’re done, this course includes a practice exam that’s very similar to the real exam in difficulty, length, and style – so you’ll know if you’re ready before you invest in taking it. We’ll also arm you with some valuable test-taking tips and strategies along the way.
Data analytics is an advanced certification, and it’s best tackled by students who have already obtained associate-level certification in AWS and have some real-world industry experience. This exam is not intended for AWS beginners.
You want to go into the AWS Certified Data Analytics Specialty Exam with confidence, and that’s what this course delivers. Hit the enroll button, and we’re excited to see you in the course… and ultimately to see you get your certification!
What you’ll learn
- Maximize your odds of passing the AWS Certified Data Analytics Specialty exam
- Move and transform massive data streams with Kinesis
- Store big data with S3 and DynamoDB in a scalable, secure manner
- Process big data with AWS Lambda and Glue ETL
- Use the Hadoop ecosystem with AWS using Elastic MapReduce
- Apply machine learning to massive data sets with Amazon ML, SageMaker, and deep learning
- Analyze big data with Kinesis Analytics, Amazon Elasticsearch Service, Redshift, RDS, and Aurora
- Visualize big data in the cloud using AWS QuickSight
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Course Information
- Instructor: Sundog Education by Frank Kane, Stephane Maarek | AWS Certified Cloud Practitioner, Solutions Architect, Developer, Frank Kane, Sundog Education Team
- Duration: 16 hours 50 Minutes
- Language: English [CC], Bulgarian [Auto], Czech [Auto], Danish [Auto], Dutch [Auto], Estonian [Auto], Finnish [Auto], French [Auto], German [Auto], Greek [Auto], Hungarian [Auto], Indonesian [Auto], Italian [Auto], Japanese [Auto], Korean [Auto], Latvian [Auto], Lithuanian [Auto], Portuguese [Auto], Romanian [Auto], Simplified Chinese [Auto], Slovak [Auto], Spanish [Auto], Swedish [Auto], Thai [Auto], Ukrainian [Auto], Vietnamese [Auto]
- Source: Udemy
Courses Reviews
Instructor
Stephane Maarek | AWS Certified Cloud Practitioner, Solutions Architect, Developer
Stephane is a solutions architect, consultant and software developer that has a particular interest in all things related to Big Data, Cloud & API. He’s also a many-times best seller instructor on Udemy for his courses in AWS and Apache Kafka.
[See FAQ below to see in which order you can take my courses]
Stéphane is recognized as an AWS Hero and is an AWS Certified Solutions Architect Professional & AWS Certified DevOps Professional. He loves to teach people how to use the AWS properly, to get them ready for their AWS certifications, and most importantly for the real world.
He also loves Apache Kafka. He sits on the 2019 Program Committee organizing the Kafka Summit in New York, London and San Francisco. He is also an active member of the Apache Kafka community, authoring blogs on Medium and a guest blog for Confluent.
During his spare time he enjoys cooking, practicing yoga, surfing, watching TV shows, and traveling to awesome destinations!
FAQ: In which order should you learn?…
AWS Cloud: Start with AWS Certified Solutions Architect Associate, then move on to AWS Certified Developer Associate and then AWS Certified SysOps Administrator. Afterwards you can either do AWS Certified Solutions Architect Professional or AWS Certified DevOps Professional, or a specialty certification of your choosing.
Apache Kafka: Start with Apache Kafka for Beginners, then you can learn Connect, Streams and Schema Registry if you’re a developer, and Setup and Monitoring courses if you’re an admin. Both tracks are needed to pass the Confluent Kafka certification.
Sundog Education by Frank Kane
Sundog Education’s mission is to make highly valuable career skills in big data, data science, and machine learning accessible to everyone in the world. Our consortium of expert instructors shares our knowledge in these emerging fields with you, at prices anyone can afford.
Sundog Education is led by Frank Kane and owned by Frank’s company, Sundog Software LLC. Frank spent 9 years at Amazon and IMDb, developing and managing the technology that automatically delivers product and movie recommendations to hundreds of millions of customers, all the time. Frank holds 17 issued patents in the fields of distributed computing, data mining, and machine learning. In 2012, Frank left to start his own successful company, Sundog Software, which focuses on virtual reality environment technology, and teaching others about big data analysis.
Frank Kane
Frank spent 9 years at Amazon and IMDb, developing and managing the technology that automatically delivers product and movie recommendations to hundreds of millions of customers, all the time. Frank holds 17 issued patents in the fields of distributed computing, data mining, and machine learning. In 2012, Frank left to start his own successful company, Sundog Software, which focuses on virtual reality environment technology, and teaching others about big data analysis.
Due to our volume of students, I am unable to respond to private messages; please post your questions within the Q&A of your course. Thanks for understanding.
Sundog Education Team
Our mission is to make highly valuable skills in machine learning, big data, AI, and data science accessible at prices anyone in the world can afford. Our current online courses have reached over 500,000 students worldwide. Sundog Education CEO, Frank Kane, spent 9 years at Amazon and IMDb, developing and managing the technology that automatically delivers product and movie recommendations to hundreds of millions of customers, all the time. Frank holds 17 issued patents in the fields of distributed computing, data mining, and machine learning. In 2012, Frank left to start his own successful company, Sundog Software, which focuses on virtual reality environment technology and teaching others about big data analysis.
