Systems | Development | Analytics | API | Testing

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How Your API Ecosystem Can Deliver Benefits to Your Business

When you introduce an API to your technology stack, you must also consider how it will interact with the other moving parts of your business. This is especially true if you have an external-facing API. Consider the end user, software vendors, business partners, third-party developers, and internal stakeholders. It can be complicated to juggle all of these interests, but the benefits to your business pay off immensely. So how does your API ecosystem deliver benefits to your business?

The 4 keys to a successful manufacturing IIOT pilot

If you have read our previous post focusing on the challenges of planning, launching and scaling IIOT use cases, you’ve narrowed down the business problems you’re trying to solve, and you have a plan that is both created by the implementation team and supported by executive management. Here’s a plan to make sure you’ve got it all down. Think of these success factors like the legs of a kitchen table and the results that you desire, a bowl of homemade chicken soup.

How to avoid BI vendor lock-in with open architecture

Many organizations have considered or experienced a desire to take advantage of a cheaper platform, more feature rich-software, or to divorce from a vendor who is not delivering. But the pain of moving is simply too great to consider doing it. This is the state of being locked-in. In this blog, we explain what lock-in is, what it means for businesses searching for new embedded analytics solutions, and why it should be a consideration when choosing a platform.

Bringing the World's Data Together: Announcements from Snowflake Summit

At this year’s Snowflake Data Cloud Summit: Data Together Now, customers and partners from around the world came together to explore the transformational power of data and Snowflake’s vision for bringing the world’s data together in the Data Cloud. Over the course of two days and 70 sessions, attendees were inspired by keynotes, learned from their peers in customer and partner sessions, and participated in hand-on labs and technical deep-dives.

Future of Data Meetup: Building Automated Machine Learning Workflows in the Cloud

In this meetup, we’re going to put ourselves in the shoes of an electric car manufacturer that produces all the parts for their cars in house. First, we’ll show you an example on how this fictional car company could walk through the process of creating a prediction model based on part production data. We will then automate the creation of these models by making them depending on an upstream data collection process. To finish it off, we’ll deploy these models and make them accessible via an external API all within a native cloud environment using the Cloudera Data Platform.

Explosive Data Growth on a Flat IT Budget

Data is growing exponentially. In 2020 alone 64 Zettabytes of data was created! At the same time, many IT organizations are struggling with flat IT budgets—driving the need for flexible data storage consumption. As businesses grow, their ability to consume capacity in a flexible manner becomes even more critical. Tom Christensen, Hitachi Vantara Global Technology Advisor, discusses on-prem, public cloud and private cloud options and the advantages of private cloud, consumption based services.

Copado - A Complete Native DevOps Platform built on Snowflake

Powered by Snowflake is a series where we interview technology leaders who are building businesses and applications on top of Snowflake. In this episode, Daniel Myers from Snowflake interviews Gloria Ramchandani, Senior Director of Product at Copado, an end-to-end, native DevOps platform for Salesforce built on Snowflake.

Anecdotes - A Modern Compliance Platform Built on Snowflake

Powered by Snowflake is a series where we interview technology leaders who are building businesses and applications on top of Snowflake. In this episode, Daniel Myers from Snowflake interviews Yair Kuznitsov, CEO and co-founder of Anecdotes, a modern platform for compliance professionals that continuously collects and maps relevant data from hundreds of different systems into normalized, credible evidence and offers advanced visibility to ensure the best cross-team collaboration, built on Snowflake.