Cloud Analytics #5 - Gartner Magic Quadrants, AI examples, space explosions and more (February 2020)

  • 310 words
  • two minutes to read

Here is a monthly list of my latest findings in the data, AI, cloud topics. Plus, some futuristic content that I’ve dug up in different places.

Cloud Analytics #4 - Google's new AI assistant, AI-infused products, and more (January 2020)

  • 311 words
  • two minutes to read

Here is a monthly list of my latest findings in the data, AI, cloud topics. Plus, some futuristic content that I’ve dug up in different places.

Cloud Analytics #3 - 2020 predictions, space lunch calendar and more (December 2019)

  • 286 words
  • two minutes to read

Here is a monthly list of my latest findings in the data, AI, cloud topics. Plus, some futuristic content that I’ve dug up in different places.

Photo by Danil Aksenov on Unsplash

Software Is About Developing Knowledge More Than Writing Code

  • 578 words
  • three minutes to read

The most impactful lesson I’ve learned in 2019 has to be this quote - “Software Is About Developing Knowledge More Than Writing Code” by Li Hongyi.

Cloud Analytics #2 - Latest news about Azure, 8K holographic display and more (November 2019)

  • 129 words
  • a minute to read

Here is a monthly list of my latest findings in the data, AI, cloud topics. Plus, some futuristic content that I’ve dug up in different places.

60 Tips for Bulletproof Data Platform in Azure

  • 121 words
  • a minute to read

Here is a document to help you speed up the implementation of the Modern Data Platform in Azure.

Cloud Analytics #1 - Latest news about Azure, quantum computing and more (October 2019)

  • 570 words
  • three minutes to read

Here is a monthly list of my latest findings, things I enjoy or ponder. I look into new tools and releases made by Microsoft, its competitors and others. I collect and share with you informative materials about data, AI, cloud. Last but not least, I add futuristic content that I’ve dug up in different places.

Outrageous spending in Azure and how to avoid it

  • 233 words
  • a minute to read

A few weeks ago I spoke at Swedbank Seedtalks on Big Data & Analytics in Riga, where I shared my experience in building a Data Science environment on Microsoft Azure.

I met with professionals interested in workload migration to cloud-based services. Many were interested in reducing the risk of letting someone spin up resources and leaving them running for months before someone finds out. Here are some tricks to help you avoid unnecessary expenses.

© Valdas Maksimavičius - 2019 - Privacy