This course introduces you to the new not so new world of cloud computing and how to build on the Microsoft Azure Platform. Microsoft Azure provides a lot of the plumbing and “boring” stuff for you, so that you can focus on building things that matter. This course will teach you how to use Azure’s IaaS and PaaS offerings to build global, performant
While building modern applications, organizations face a lot of challenges related to continuous integration and continuous delivery in a secure, reliable and compliant way. In this course, you will learn how to implement the DevOps culture using the suite of tools available in Azure DevOps and Understand the manifesto
While customers are progressively moving to the public cloud, properly architecting cloud solutions, while managing how decisions in each area of networking, identity, security, business continuity, disaster recovery, scalability, data management, budgeting, and governance impact the overall cloud solution.
AWS Lambda is an event-driven, serverless computing platform provided by Amazon as a part of the Amazon Web Services. It is a computing service that runs code in response to events and automatically manages the computing resources required by that code and implement API caching, throttling, stages, authentication and more.
Data Warehouses are the essential part for analysis. But developing or maintaining data warehouses is not an easy task. It requires a lot of sagacity and it is an emaciated task. Over the times, along with the development in technology sector, there is tool launched publicly in 2014 by Bob Mugila i.e. Snowflake. Snowflake solves all the problems of traditional warehouses and provides an ideal data warehouse and analytics solution. It is an analytical data warehouse, which can be used as Software-as-a-service(SaaS). It provides a warehouse which is fast, easy to use, and far more flexible as compared to traditional warehouses.
The program is focussed on providing a high level introduction to Google Cloud Platform (GCP) and Snowflake. The participants will get an overview of various services of GCP and Snowflake related to Data Engineering and Data Science. Which one to choose when? Also the participants will understand various approaches of Migration and how to build end to end pipelines on GCP.
Google Cloud Platform (GCP) leverages a fully secure cloud infrastructure with plethora of functionalities and features. The Google Cloud Architect course will provide hands-on exposure to students for Architecting on GCP. By the end of the course students will be able to design, develop, and manage cloud solutions imparting robust, secure, scalable, highly available, and dynamic functionalities to fulfill the target business objectives. The program is focussed on performing Data Engineering on Google Cloud Platform. During the process, participants will be building data analytics pipelines on Google Cloud Platform (GCP). The program will provide exposure to participants on how to enable data-driven decision making in any organization by designing end-to-end process i.e. for Data ingestion, Data storage, Data processing, Data analysis, Data modeling, and Data Visualization.