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Ram Narasimhan

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Snowflake - Best Practices For Modern Data Warehouse

Posted by Ram Narasimhan on Apr 8, 2021 2:10:34 PM

Software as a Service has been expanding in its usage as more and more enterprises are adopting it. Snowflake's cloud platform emerged as one such SaaS data warehouse. It enables the storage and processing of data and offers analytical solutions that are flexible, fast, and easy to use. The difference between traditional data clouds and Snowflake is that Snowflake stands independent of database technology or big data software platform. It combines a SQL query engine and a native cloud architectural design. It has a 3 layered architecture including database storage, query processing, and cloud services as the key layers. Hence, as a user of Snowflake, you will have the functionality of an enterprise analytic database with special features and unique capabilities. 

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Topics: Big Data & Data Science

Google Machine Learning Platform

Posted by Ram Narasimhan on Mar 30, 2021 12:46:29 PM

Almost everything we see around us has advanced technology embedded into it. One of such breakthrough technologies is artificial intelligence. Any machine that is "intelligent" can learn how to perform tasks and improve at them, an avenue explored by enterprises to their fullest. Global sending on AI and other cognitive systems will reach 57.6 million dollars in 2021 and 190 billion dollar industry by 2025. An AI platform is a space where you can train and host your machine learning models and make predictions about new data at your convenience. Google's Machine Learning Platform features a convenient location where you can do hassle-free development, with a faster production time, availability of no-code-based tools, and robust governance having interpretable models. 

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Topics: Big Data & Data Science

Google BigData Platform

Posted by Ram Narasimhan on Mar 23, 2021 12:20:20 PM

The birth of big data occurred simultaneously with the web and internet when there was a creation of multiple avenues to model unique data collection methods, which analyze and store the massive amounts of structured and unstructured data and extract useful information from it. However, as time passed, data from web-based content was dwarfed by data generated by mobile devices and most recently, the Internet of Things. A record of 40 zettabytes of data was created by 2020 and the market is growing at a rate of 45% annually.

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Topics: Big Data & Data Science

Azure Cognitive Services

Posted by Ram Narasimhan on Mar 12, 2021 2:15:42 PM

Azure Cognitive Services is a segment of Microsoft's cloud-based services. It has REST APIs and client library SDKs. This helps you build cognitive intelligence into your applications. The biggest advantage is that you need not have skills in AI or data science to pull that off. This is a significant contribution in the world of IT, where businesses without knowledge of machine learning and the like can delve into the realm of intelligent applications. The library of cognitive features enables you to simply add pre-made templates to your application. With the help of Azure's Cognitive Services, various cognitive solutions that can see, speak, hear, and understand are built. It can even make its own decisions. 

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Topics: Big Data & Data Science