Enterprise Security Fundamentals

In this Course you will understand Core concepts of Commvault Software, De-Duplication, Backup and Recovery, Disaster Recovery. we shall begin with deploying commserve software in AWS, followed by configuring S3 Storage as Disk library, then install respective components and perform Backup Restores.In second half of the course we shall setup Commvault Software for Data center Solution, which covers advance concepts of Commvault. for any technical doubts, please drop a mail (venkatc11@outlook.com)

What is Snowpark ?With Snowpark, Snowflake allows developers to write code in their preferred language.Along with Snowflake’s original SQL interface now snowflake allows you to write code in, 1. Python 2. Scala 3. JavaSome of the key features of Snowpark are,Your code will be pushed to snowflake leveraging the compute power of snowflake warehouses.You will not end up exporting data to different environment but rather your code is shipped to the data.You can build complex data pipelines or data products using SnowparkSnowpark also address below overheads in conventional data pipelines,Long startup time of node clusters: Systems like Hadoop and Spark requires cluster of nodes to process data. Most of the time it takes 5-10 minutes to just start the cluster. In case of Snowpark we will be using snowflake warehouse to process our data.Problem of small files , Problem of using right joins to shuffle data across nodes, Problem of garbage collection. uncertainty when the compute nodes goes down.All the above problems are well handled with Snowpark.What you will learn ?You will learn the basics of SNOWPARK API. Basic read and write operations. Read data from s3 and load that to snowflake table. We will do deep analysis of how SNOWPARK API works. Do's and Don'ts of SNOWPARK. Build data components to process data. Build data pipeline to process data.

This course starts with introduction to microservices in context of "classic" monolith applications. It explains how to combine two different frameworks (Spring and Go), to use their strong sides on very small, but also pretty strong hardware - Raspberry Pi.It shows how to combine simple sensors with ESP8266 Wifi modules and collect measurements from many places and use microservices to create small but yet complex application with dashboard, searching and simple configuration.Finally in this course you will learn a little bit about docker and how to compose your microservices as good as your angular ui application into docker containers, which can be then stopped/restarted/rebuild/replaced easily within couple of steps. I hope you will enjoy learning from the course as much as I have had fun creating it.

Ever wondered what is going to be the next big thing on the Internet? Semantic Web is regarded as the next phase of the World Wide Web, by the inventor Sir Tim Berners-Lee. Internet giants like Facebook, Google, IBM etc. have already started using Semantic Web. You are reaping benefits of Semantic Web without knowing it. If you have a some sort of Internet presence, then this course is essential for you. Even for web developers, the next trend would be to start creating website which are Semantic-friendly. You will need to know the concepts of Semantic Web before actually converting your existing website or creating new websites with Semantic Web in mind. This course provides a competitive starting point to understanding Semantic Web and the technologies behind it. This is not the Ultimate Semantic Web course. But this is the most brief and precise course that you will need. This would enable you to understand the importance of Semantic Web and know that it would be the next major Internet Revolution. This course was designed after quality research and discussion with the pioneers of Semantic Web itself. You will be learn about how the need for Semantic Web in general and its World Wide Web revolution, standards like RDF, OWL etc. Examples will be given to you to have practical understanding of using these standards.

This is a complete hands-on course on design and development of an IOT system from scratch. The major components (or modules) of an IOT system are a smart device, MQTT broker, cloud server, a web server with user interface through Google Home or Alexa. In this course, the students will learn to design and develop every component of an IOT system. They will learn how to design the hardware of an IOT smart device, learn how to develop the firmware using Arduino IDE. Then they will learn installing a cloud server and configuring it. Then, they will learn installing an MQTT broker in the cloud server, as well as installing a Django web server. They will then learn writing publish/subscribe programs for MQTT as well as web server so that users can activate any port of a smart device by clicking appropriate buttons on the browser of a remote computer. They will, then learn about linking the Google Home console server with their cloud server. They will learn how to write the needed programs for their web server to handle account linking and action fulfillment. At the completion of this step, they will be able to activate any port of their device by voice command on Google Home on their smart phone.After completion of this course, students will acquire skills and knowledge about every module of an IOT system.At the end of this hand-on course, they would have also developed a working IOT system that they can use in their home or office for applications such as turning ON/OFF of an equipment or any electrical load, opening a garage door, or using as a keyless entry controller to their house using a smart phone. They also would have built an IOT system that they can experiment with and learn further to enhance their skills and expertise in IOT. They also will have a system that can be used for making marketable products.

Microsoft Azure Microsoft Azure is one of the leading cloud providers (together with Amazon AWS and Google Cloud) with a global cloud infrastructure for providing public cloud services around the world. Cloud computing is one of the biggest and fastest technology revolutions in the IT industry and the global demand for more skilled people in the area of cloud computing is also growing rapidly across multiple industries. Becoming a Cloud ExpertIf you are looking to become a cloud expert then this training program is designed to help you build the knowledge and experience about the subject of cloud computing while using the Azure cloud platform. The training program is divided into levels.Level 3 - is all about Resilience and ScalabilityIn level 1, we learned to build an end-to-end cloud solution inside the Microsoft Azure platform and in level 2, we learned how to monitor the performance and health of our cloud solution. Now it is time to learn how to design a system that will be more resilience to failures and more flexible to unpredictable capacity demand. One thing for sure, it is going to be interesting! Join us and start to pave your way as a Cloud Expert!