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iguazio

Building a Single Pipeline for Data Integration and ML with Azure Synapse Analytics and Iguazio

Jun 22, 2021 By Alexandra Quinn In Iguazio

Across organizations large and small, ML teams are still faced with data silos that slow down or halt innovation. Read on to learn about how enterprises are tackling these challenges, by integrating with any data types to create a single end-to-end pipeline and rapidly run AI/ML with Azure Synapse Analytics with Iguazio.

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Community Creations: Bitrise Open Source & the API - Introducing the Bitrise Wall mobile app

Jun 22, 2021 By Bitrise In Bitrise
Being able to extend the functionality that Bitrise provides, by writing your own Apps that exploit the openness of the API is an added value feature of Bitrise. And, good use of this possibility has already been made by existing Bitrise users. A case in point is Bitrise Wall, created by Jas Manigundan. This is an app for both iOS and Android that allows you to monitor the activity of your builds and even download the latest app version directly from your mobile phone.
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[MLOps] The Clear SHOW - S02E10 - Everything You Wanted To Know About Model Stores*

Jun 22, 2021 By ClearML In ClearML
Ariel (ft. G. Raffa) discusses the reasoning behind model stores, why you might want to build one, and reviews a model store library vs. ClearML to understand what needs to be built "on top" of our open-source MLOps Engine. + Operator AI ClearML is the only open-source tool to manage all your MLOps in a unified and robust platform providing collaborative experiment management, powerful orchestration, easy-to-build data stores, and one-click model deployment.
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Comprehending ClearML and MLOps - Enabling the New A-Z (ODSC East '21)

Jun 22, 2021 By ClearML In ClearML
ClearML is an industry leading MLOps suite, fully open source and free in the best sense. Designed to ease the start, running and management of experiments and orchestration for every day practitioners, we will also see how it provides a clear path to deployment. Starting with a high level overview of the parts built into ClearML, we will then journey into what is and also, importantly, what is not part of ClearML's mandate. Along the way we will demonstrate how-to integrate into your PyTorch code, as well as the capabilities of reporting and possible workflows that could be made easier by pipeline usage.
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Build/Buy in MLOPs for R&D Does "off-the-shelf" exist yet?

Jun 22, 2021 By ClearML In ClearML
What kind of tools and infrastructure does a company need in order to build, train, validate and maintain data-based models as part of products? The straight answer is - “it depends.” The longer one is: “MLOps.” It is far too early to determine the “best” patterns and workflows for Data-Science, Machine- and Deep-Learning products. Yet, there are numerous examples of successful deployments from businesses both big and small.
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integrate

ETL with Apache Airflow

Jun 18, 2021 By Maciej Grabowski In Integrate
Written in Python, Apache Airflow is an open-source workflow manager used to develop, schedule, and monitor workflows. Created by Airbnb, Apache Airflow is now being widely adopted by many large companies, including Google and Slack. Being a workflow management framework, Apache Airflow differs from other frameworks in that it does not require exact parent-child relationships. Instead, you only need to define parents between data flows, automatically organizing them into a DAG (directed acyclic graph).
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