Systems | Development | Analytics | API | Testing

Cloud

Automating and Governing AI over Production Data on Azure - MLOPs Live #14 w/Microsoft

Many enterprises today face numerous challenges around handling data for AI/ML. They find themselves having to manually extract datasets from a variety of sources, which wastes time and resources. In this session, we discuss end-to-end automation of the production pipeline and how to govern AI in an automated way. We touch upon setting up a feedback loop, generating explainable AI and doing all of this — at scale.

Three reasons your cloud data warehouse needscloud analytics now

Today, just 24% of organizations say they've succeeded at becoming data-driven.* This is a challenge many data leaders are still struggling to solve despite increasing demand for data-driven insights from business users. Migrating to a cloud data warehouse is a good first step-and many have done so-but introducing new technology is not the same as ensuring adoption. To truly reap the benefits of your cloud data warehouse investment, you need an equally fast, scalable, and easy-to-adopt analytics solution to make your cloud data available to all.

Reasons Why Cloud Migrations Fail & Ways to Succeed

Organizations are moving big data from on-premises to the cloud, using best-of-breed technologies like Databricks, Amazon EMR, Azure HDI, and Cloudera, to name a few. However, many cloud migrations fail. Why? And, how can you overcome the barriers and succeed? Join Chris Santiago, Director of Solution Engineering, as he describes the biggest pain points and how you can avoid them, and make your move to the cloud a success.

How a journey to the cloud helps a fintech leader deliver quality products

Securrency is a technology products company that delivers a complete suite of security and compliance tools. Their complex suite of financial technology needs to have top performance and security. Currently, Securrency has 50 developers working across their multiple software products and this software requires thorough testing. They have a dedicated QA team that does manual and automated testing.

Future of Data Meetup: Exploring Data and Creating Interactive Dashboards in the Cloud

In this meetup, we’re going to once again put ourselves in the shoes of an electric car manufacturer that is deploying a recently developed electric motor out into their new cars. We’re going to show how to explore some data that has been previously collected through various different sources and stored into Apache Hive within a data warehouse, with the goal of tracking down a specific set of potentially defective parts. We’ll then take the results of this data exploration and create an interactive dashboard that presents our results in a visually appealing way using a BI tool that’s integrated right into the same data warehouse.

Lightweight Virtualization: the Container Ecosystem and Firecracker MicroVMs for Serverless

Virtualization is a core component of cloud computing and the key technology to optimize usage of hardware's resources. While it has been around for decades, new innovations continue to improve its efficiency and performance for modern workloads. In this blog post, we provide a brief overview of virtualization and its history as well as explain how Firecracker and lightweight virtualization are fueling modern deployments.