May 3rd 2021 – With over 11 man-years of working, and tinkering, long into the night, I am pleased to announce we have hit version 1.0. Following quickly after the release of ClearML 0.17.5, we added the last remaining features we felt 1.0 needed. Namely multi-model support, as well as improved batch operations. With these in place, the choice was clear. The next version released should be the baseline moving forward.
Few things in life are certain, least of all roadmaps. There is a saying I love, apart from the one above, which says “if you want to hear God laugh, tell him/her your plans”. Nowhere is that more true than in software development in a startup. There are grand ideas put forward, people often vie with one another, in short, life happens.
ThoughtSpot has revolutionized access to analytics for business users through search and AI. In addition to being a general purpose analytics tool that allows unprecedented access to business users, product builders can now use ThoughtSpot to deliver search-based analytics to customers. Today, we are launching a brand new SDK that allows you to embed ThoughtSpot into your own web app in literally minutes.
At Iguazio, we’ve spoken and written at length about the challenges of bringing data science to production. The complexity of operationalizing ML can generate huge costs in terms of work hours and compute resources, especially as successful projects get scaled up and expanded. We’re proud to share that the Iguazio Data Science Platform has been named a fast moving leader in the GigaOm Radar for MLOps report.
Use our new SAP Concur integration for reliable, easy-to-use ELT for your financial analytics.
Don’t make costly mistakes as your business strives to make better use of data.
Bring disparate spreadsheets into your centralized analytics destination.
Heroku is a cloud platform as a service (PaaS) for efficiently building, deploying, monitoring, and scaling applications. Originally created to work with the Ruby programming language, Heroku is now part of the Salesforce platform and supports languages such as Java, Node.js, PHP, Python, and Scala. While Heroku makes it easy to develop production-ready applications fast, one question remains: how can you integrate your Heroku app data with the rest of your data infrastructure and workflows?
Apache Spark is now widely used in many enterprises for building high-performance ETL and Machine Learning pipelines. If the users are already familiar with Python then PySpark provides a python API for using Apache Spark. When users work with PySpark they often use existing python and/or custom Python packages in their program to extend and complement Apache Spark’s functionality. Apache Spark provides several options to manage these dependencies.
