The Data Engineering Podcast is supported by some great companies. Check out the sponsors that have helped to bring you the stories behind the projects that you use every day and the people who built them.
Integrating data across the enterprise has been around for decades – so have the techniques to do it. But, a new way of integrating data and improving streams has evolved. By integrating each silo independently – data is able to integrate without any direct relation. At CluedIn they call it “eventual connectivity”. If you want to learn more on how to deliver fast access to your data across the enterprise leveraging this new method, and the technologies that make it possible, get a demo or presentation of the CluedIn Data Hub by visiting dataengineeringpodcast.com/cluedin.
Mode is the only data platform built by data experts for data experts. With Mode, analysts and data scientists work how they want to, with a powerful end-to-end workflow that covers everything from exploration stages to final, shareable product. They get the flexibility to work with raw or modeled data without moving between different programs, and Mode’s robust collaboration tools make it easy to work with other data experts on their team. As a result, they can mine for more opportunities, diagnose bigger business problems, predict outcomes, and make recommendations for the future faster than ever before.
Check out the data analysis platform that Lyft trusts at dataengineeringpodcast.com/mode-lyft
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Have you ever found yourself lost in a pile of directories, each only differing by a cryptic and poorly considered version number, wishing that you could just dump it all into your source control system to track changes and change history? Lucky for you the fine folks at Quilt Data were in the same boat and decided to build something just for you! Quilt is an open source platform for managing your data sets in the same way that you manage your software. It includes metadata management, version history, and distributed delivery so that you can build a workflow that works for your whole team.
Stop by their booth at JupyterCon in New York City on August 22nd through the 24th to say Hi and tell them that the Data Engineering Podcast sent you! After that, keep an eye on the AWS marketplace for a pre-packaged version of Quilt for Teams to deploy into your own environment and stop fighting with your data.
Your Data Scientist finished a new Machine Learning model, so he sends you his python script and wishes you good luck. Now you have to figure out where to put it and plead with DevOps to deploy it. Not to mention write the API to consume the model’s results.
Wouldn’t it make your job easier if the Data Science team could build, train, deploy and monitor their models independently? Metis Machine agrees.
Meet Skafos, the machine learning platform that enables teams of data scientists to drastically speed up the time to market by providing tools and workflows that are familiar and easy. Serverless ML production deployment is as simple as “git push”. Skafos orchestrates your jobs seamlessly, guaranteeing they will run.
Skafos handles the tedious and time-consuming work of applying Machine Learning at scale so you can focus on what you do best.
The team here at Metis Machine shipped a proof-of-concept integration between our powerful machine learning platform Skafos, and the business intelligence software Tableau. BI teams can now invoke custom-built machine learning models built by in-house science teams.
Does that sound awesome? It is.
Join Metis Machine’s free webinar to walk through the architecture of this extension, demonstrate its capabilities in real time, and lay out a use case for empowering your BI team to modify machine learning models independently and immediately see the results, right from Tableau. You have to see it to believe it. So join us on October 11th at 2 PM ET (11 AM PT) and see what
Skafos + Tableau can do.
To register, go to metismachine.com/webinars
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This episode of the Data Engineering Podcast is brought to you by Clubhouse, the first project management platform for software development that brings everyone together so that teams can focus on what matters – creating products their customers love. Clubhouse provides the perfect balance of simplicity and structure for better cross-functional collaboration. Its fast, intuitive interface makes it easy for people on any team to focus-in on their work on a specific task or project, while also being able to “zoom out” to see how that work is contributing towards the bigger picture. With a simple API and robust set of integrations, Clubhouse also seamlessly integrates with the tools you use everyday, getting out of your way so that you can deliver quality software on time.
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Segment provides the reliable data infrastructure companies need to easily collect, clean, and control their customer data. Once you try it, you’ll understand why Segment is one of the hottest companies coming out of Silicon Valley. Segment recently launched a Startup Program so that early-stage startups can get a Segment account totally free up to $25k, plus exclusive deals from some favorite vendors and other resources to become data experts. Go to dataengineeringpodcast.com/segmentio today and see if you or a startup you know qualify for the program today.
Alluxio provides an open source unified data orchestration layer for hybrid and multi-cloud environments, making data accessible wherever data computation and processing is done. By seamlessly pulling data from underlying data silos, Alluxio unlocks the value of data and allows for modern data-intensive workloads to become truly elastic and flexible for the cloud.
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