AWS Data Architect Bootcamp - 43 Services 500 FAQs 20+ Tools

Hi! Welcome to the AWSData Architect Bootcamp course, the only course you need to learn everything about data architecture on AWS and play the role of an Enterprise Data Architect. This is the most-comprehensive AWScourse related to AWS data architecture on the market. Here’s why: This is the only online course taught by an Enterprise Cloud Architect, who leads large teams of junior architects in the real world, who has an industry experience of close to two decades in the ITindustry, who is a published author, and leads technology architecture of XXX million dollar projects on cloud for multi-national clients. Data Architects draw a salary in the range of $150K - $250Kon an average. This course trains you for that job! This is my 10th course on Udemy, 3rd on AWS topics (previous 2 are best-sellers).Typical AWSclassroom trainings on data architecture which contains a fraction of the topics covered in this course, costs $3000 - $5000. And this course teaches you 5 to 7 times more topics than AWSTraining (40+ AWSServices)in the fraction of the cost. Everything covered in this course is kept latest. Services which are in Beta and launched in Re-invent (last Nov)are already covered in the course. AWSinnovates and adds features to their stack very fast, and Ikeep my course constantly updated with those changes. Think of this course as a Architecture Updates subscription. Developers have questions, Architect’s have questions, Clients have questions - All technical curious minds have questions. And this course also has 500+questions and answers (FAQs) curated from AWSFAQs, to equip you with as many ready-to-use answers as you would need in your architect role. The entire course is formed of 40+services. Every service is composed of the below listed sections, with their proportion in each section / service. Architecture (12%) Diagrams, Integration, TerminologyUse-Cases (6%) Whether and When to use the AWS ServicePricing (2%) Cost estimation methods to assess overall solution costLabs (75%) To-the-point labs for architectural understanding covering all major and important featuresFrequently Asked Questions (5%) Selected question from AWS FAQs explained concisely. (Total 500+)Apart from AWSServices, we will use a number of client tools to operate on AWSServices, Databases and other technology stack. Here is a list of the tools that we would be using:1. EC2 2. Putty 3. Cloud9, 4. HeidiSQL 5. MySQL Workbench 6. Pgadmin 7. SSMS8. Oracle SQL Developer 9. Aginity Workbench for Redshift 10. SQL Workbench / J11. WinSCP 12. AWS CLI 13. FoxyProxy 14. Oracle Virtualbox 15. Linux Shell Commands 16. FastGlacier 17. Rstudio 18. Redis Client 19. Telnet 20. S3 Browser21. Juypter NotebooksBelow is a detailed description of the curriculum as AWSServices we will be learning to understand how they fit in the overall cloud data architecture on AWS and address various use-cases. If you have any questions, please don’t hesitate to contact me. AWSTransfer for SFTP (Nov 2018 Release) - We will start our journey in this course with this service and learn how to ingest files in self-service manner using an sFTPserver on AWSand sFTPtools on-premise to ingest file based data on AWS. AWSSnowball - Large data volumes spanning hundreds of TBs are not ideal for ingestion via network. Using this service, we will learn how to ingest mega volume data using device based offline data transport mechanism to AWScloud. AWSKinesis Data Firehose - One of the data ingestion mechanism is streaming. We will learn how to channel streamed data from Kinesis Data Streams to AWSData Storage & Analytics Repositories like S3, Redshift, ElasticSearch and more using this service. AWSKinesis Data Streams - Clients can have streaming infrastructure or even devices (IoT)which may stream data continuously. Using this service we will learn how to collect streaming data and store it on AWS. AWSManaged Streaming for Kafka (MSK)(Nov 2018 Release) - AWSrecently added Kafka to their technology stack, which has lot of similarities with Kinesis. Learn comparative features as well as the method of standing up Kafka cluster on AWSto accept streaming data in AWS. AWSSchema Conversion Tool - Database migration is a complex process and can be homogeneous (for ex. SQLServer on-premise to SQLServer on AWS) or heterogeneous ( for ex. MySQLto PostgreSQL). We will use this offline tool to learn about assessing migration complexities, generate migration assessment reports, and even perform schema migration. AWSDatabase Migration Service (DMS) - Database Migration / Replication is a very common need for any federated data solution. We will use this service to learn how to migrate and/or replicate on-premise data from databases to AWShosted relational databases on AWSRDS. AWSData Sync (Nov 2018 Release)- Continuous synchronization of data from on-premise to cloud hosted data repositories becomes a key requirement in environments where data is generated or changes very fast. We will use to service to learn how it can solve this requirement. AWSStorage Gateway - This