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https://github.com/ayushsubedi/aws-das-c01-certification
(WIP) Personal notes on AWS Data Analytics Speciality Certification
https://github.com/ayushsubedi/aws-das-c01-certification
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(WIP) Personal notes on AWS Data Analytics Speciality Certification
- Host: GitHub
- URL: https://github.com/ayushsubedi/aws-das-c01-certification
- Owner: ayushsubedi
- License: cc0-1.0
- Created: 2021-07-27T05:22:10.000Z (over 3 years ago)
- Default Branch: main
- Last Pushed: 2022-01-04T08:37:15.000Z (about 3 years ago)
- Last Synced: 2024-11-09T12:31:38.172Z (2 months ago)
- Homepage:
- Size: 6.45 MB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# AWS-DAS-C01-certification
## This is a work on progress, and contains personal notes on AWS Data Analytics Speciality Certificationhttps://aws.amazon.com/certification/certified-data-analytics-specialty
| Topic | % |
| ------------------------------------- | -- |
| Domain 1: Collection | 18 |
| Domain 2: Storage and Data Management | 22 |
| Domain 3: Processing | 24 |
| Domain 4: Analysis and Visualization | 18 |
| Domain 5: Security | 18 |### Domain 1: Collection
1. Determine the operational characteristics of the collection system
2. Select a collection system that handles the frequency, volume, and source of data
3. Select a collection system that addresses the key properties of data, such as order, format, and compression- [ ] Amazon Kinesis
- [ ] AWS IoT Core
- [ ] AWS Snowball
- [ ] Amazon SQS
- [ ] Amazon DMS
- [ ] AWS Direct Connect### Domain 2: Storage and Data Management
1. Determine the operational characteristics of a storage solution for analytics
2. Determine data access and retrieval patterns
3. Select an appropriate data layout, schema, structure, and format
4. Define a data lifecycle based on usage patterns and business requirements
5. Determine an appropriate system for cataloging data and managing metadata- [ ] S3
- [ ] Glacier
- [ ] DynamoDB
- [ ] ElastiCache### Domain 3: Processing
1. Determine appropriate data processing solution requirements
2. Design a solution for transforming and preparing data for analysis
3. Automate and operationalize a data processing solution- [ ] AWS Lambda
- [ ] Amazon ML
- [ ] Amazon SageMaker
- [ ] Amazon EMR
- [ ] AWS Data Pipeline
- [ ] AWS Glue### Domain 4: Analysis and Visualization
1. Determine the operational characteristics of an analysis and visualization solution
2. Select the appropriate data analysis solution for a given scenario
3. Select the appropriate data visualization solution for a given scenario- [ ] Elasticsearch
- [ ] Amazon Athena
- [ ] Amazon Redshift
- [ ] Amazon Quicksight### Domain 5: Security
1. Select appropriate authentication and authorization mechanisms
2. Apply data protection and encryption techniques
3. Apply data governance and compliance controls- [ ] Amazon KMS
- [ ] AWS CloudHSM### Courses
- [ ] [Data Analytics Fundamentals offered by AWS](https://www.aws.training/Details/eLearning?id=35364) -> [My Notes](https://github.com/ayushsubedi/AWS-DAS-C01-certification/tree/main/aws_data_analysis_fundamentals)
- [ ] [Exam Readiness: AWS Certified Data Analytics - Specialty](https://www.aws.training/Details/eLearning?id=46612)
- [ ] [Udemy course-AWS Certified Data Analytics Specialty 2021 - Hands On!](https://www.udemy.com/course/aws-data-analytics/)
- [ ] [AWS Ramp up Guide-Data Analytics](https://d1.awsstatic.com/training-and-certification/ramp-up_guides/Ramp-Up_Guide_Data_Analytics.pdf)## Videos
- [ ] https://www.youtube.com/watch?v=n30FRdK6Xxg## Resources
- [ ] [Official Docs](https://docs.aws.amazon.com/)
- [ ] [AWS Certified Data Analytics Specialty 2021 – Hands-On!](https://learning.oreilly.com/videos/aws-certified-data/9781838983383/)
- [ ] [AWS Certified Data Analytics Study Guide](https://learning.oreilly.com/library/view/aws-certified-data/9781119649472/)
- [ ] [Prepare for the AWS Certified Database Specialty Exam (DBS-C01)](https://www.linkedin.com/learning/paths/prepare-for-the-aws-certified-database-specialty-exam-dbs-c01)
- [ ] [Linux Academy Repo](https://github.com/ayushsubedi/Content-AWS-Certified-Data-Analytics---Speciality)
- [ ] [Sagemaker Immersion Day](https://sagemaker-immersionday.workshop.aws/en/)
- [ ] [Unofficial Guide](https://awsmaniac.com/the-unofficial-guide-to-aws-certified-data-analytics-specialty-exam/)
- [ ] [Practice exams](https://www.whizlabs.com/aws-certified-data-analytics-specialty/practice-tests/)
- [ ] [Amazon Athena](https://aws.amazon.com/athena/faqs/)
- [ ] [Amazon EMR](https://aws.amazon.com/emr/faqs/)
- [ ] [Amazon Redshift](https://aws.amazon.com/redshift/faqs/)
- [ ] [Amazon Kinesis Data Streams](https://aws.amazon.com/kinesis/data-streams/faqs/)
- [ ] [Amazon Kinesis Data Firehose](https://aws.amazon.com/kinesis/data-firehose/faqs/)
- [ ] [Amazon Kinesis Data Analytics](https://aws.amazon.com/kinesis/data-analytics/faqs/)
- [ ] [Amazon ElasticSearch Service](https://aws.amazon.com/elasticsearch-service/faqs/)
- [ ] [Amazon Managed Service for Kafka (MSK)](https://aws.amazon.com/msk/faqs/)
- [ ] [Amazon QuickSight](https://aws.amazon.com/quicksight/resources/faqs/)
- [ ] [AWS Data Exchange](https://aws.amazon.com/data-exchange/faqs/)
- [ ] [AWS Glue](https://aws.amazon.com/glue/faqs/)
- [ ] [AWS Lake Formation](https://aws.amazon.com/lake-formation/faqs/)
- [ ] [Optimize memory management in AWS Glue](https://aws.amazon.com/blogs/big-data/optimize-memory-management-in-aws-glue/).
- [ ] [Process data with varying data ingestion frequencies using AWS Glue job bookmarks](https://aws.amazon.com/blogs/big-data/process-data-with-varying-data-ingestion-frequencies-using-aws-glue-job-bookmarks)
- [ ] [Amazon Redshift Engineering's Advanced Table Design Playbook: Preamble, Prerequisites, and Prioritization](https://aws.amazon.com/blogs/big-data/amazon-redshift-engineerings-advanced-table-design-playbook-preamble-prerequisites-and-prioritization/)
- [ ] [Top 10 performance tuning techniques for Amazon Redshift](https://aws.amazon.com/blogs/big-data/top-10-performance-tuning-techniques-for-amazon-redshift)
- [ ] [Best Practices for Amazon Redshift Spectrum](https://aws.amazon.com/blogs/big-data/10-best-practices-for-amazon-redshift-spectrum)
- [ ] [AWS Well-Architected Framework - Analytics Lens](https://d1.awsstatic.com/whitepapers/architecture/wellarchitected-Analytics-Lens.pdf).
- [ ] [Streaming Data Solutions on AWS with Amazon Kinesis](https://d1.awsstatic.com/whitepapers/whitepaper-streaming-data-solutions-on-aws-with-amazon-kinesis.pdf)
- [ ] [Sizing Cloud Data Warehouses](https://d1.awsstatic.com/whitepapers/Size-Cloud-Data-Warehouse-on-AWS.pdf)
- [ ] [Amazon Redshift: Cost Optimization](https://d1.awsstatic.com/whitepapers/amazon-redshift-cost-optimization.pdf)
- [ ] [Cost Modeling Data Lakes for Beginners](https://d1.awsstatic.com/whitepapers/cost-modeling-data-lakes.pdf)
- [ ] [Migrating to Apache HBase on Amazon S3 on Amazon EMR](https://d1.awsstatic.com/whitepapers/Migrating_to_Apache_Hbase_on_Amazon_S3_on_Amazon_EMR.pdf)
- [ ] [Comparing the Use of Amazon DynamoDB and Apache HBase for NoSQL](https://d1.awsstatic.com/whitepapers/AWS_Comparing_the_Use_of_DynamoDB_and_HBase_for_NoSQL.pdf)
- [ ] [Big Data Analytics Options on AWS](https://d1.awsstatic.com/whitepapers/Big_Data_Analytics_Options_on_AWS.pdf)
- [ ] [Use Amazon Elasticsearch Service to Log and Monitor (Almost) Everything](https://d1.awsstatic.com/whitepapers/whitepaper-use-amazon-elasticsearch-to-log-and-monitor-almost-everything.pdf)
- [ ] [Lambda Architecture for Batch and Stream Processing](https://d1.awsstatic.com/whitepapers/lambda-architecure-on-for-batch-aws.pdf)
- [ ] [Youtube Playlist](https://www.youtube.com/watch?v=TAkcRD6OxPw&list=PLCRlJJDoP5o91Gaj9yq2HIw2CTofIQ4TY)
- [ ] [AWS Analytics Services Cheat Sheet](https://jayendrapatil.com/aws-certification-analytics-services-cheat-sheet/)
- [ ] [Practice Exam](https://www.braincert.com/course/26478-AWS-Certified-Data-Analytics-Specialty-Practice-Exams)-------------