Data Engineering

Podcast: The Evolution of Data Teams with special guest Jesse Anderson

In the latest episode of the DataAware podcast, Michael Leppitsch and I had the opportunity to sit down with Jesse Anderson, managing director of the Big Data Institute and author of the new book Data Teams, and talk about the inner workings of data engineering, analyst, and scientists teams. … Read More

Podcast: Unifying Spark Ecosystems with Flex Code Data Connectors

In this episode, you’ll learn more about the challenges we were hearing from our customers, why we built the new data connectors, and just why the “flex code” piece of it is so interesting and important. … Read More

Keeping Up with Data Engineering: A Resource Guide for Data Engineers

As the demand for data engineers increases, data teams must be prepared with the right tools and resources to ensure the role maintains a productive and effective workflow … Read More

Welcome to the DataAware Podcast by Ascend

We are thrilled to launch our new DataAware podcast! With so many fantastic conversations happening with customers, partners, peers, and more in the data engineering realm, we decided we couldn’t keep all the insight and knowledge to ourselves any longer. … Read More

Azure Beta or: How I Learned to Stop Worrying and Love the Kube

We run everything on Kubernetes and manage system state in MySQL plus a large scale blob store (Google Storage/S3/Azure Blob Storage). … Read More

How We’re Helping Drive Efficiency & Reduce Spend

As we all navigate these uncertain times, one thing has never been more certain — the need to reduce spend. Dollars saved directly equates to employees kept, strategic investments continued, and savings passed on to customers. Finding unnecessary spend and inefficiencies across the business is more important than ever before. … Read More

2020: The Year of the Citizen Data Engineer

Data scientists and data engineers play the primary role in accelerating a company’s data sophistication, providing both the technology and domain expertise from a sea of zeros and ones into valuable data products. As we reflect on 2019 and look forward to the year and decade ahead, we will examine the evolving nature of these roles and teams. … Read More

Four Anti-patterns in Balancing Data Teams

Let’s look at how managers of data teams can set the stage for a path that fuels speed and business results, by sorting out different aspects of what needs to get accomplished, and tagging four common mistakes as killer anti-patterns. … Read More

The Anti-Pattern in Big Data

Today’s scale of data creation and ingestion has reached magnitudes that have fueled an Icarus-like obsession with data-driven business decisions. The desire for velocity in analytical processing, machine learning, and visualization has only enlarged the gap between the vision of a data-powered intelligence engine and the actual tools used for this concept. … Read More

Where is the Value: Code or Data?

While your data team likely includes people with all three of these points of view, what really matters is the position of the leaders, and the pace with which the team is adapting to the real needs of the business. So while we’re rolling the dice with the alphas, let’s take a moment to look at the two sources of value in this context: data and code. … Read More

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