
Data Archives - Software Engineering Daily
Databases and data engineering episodes of Software Engineering Daily
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Feb 23, 2022 • 44min
Splunk Platform with Spiros Xanthos
Splunk is a monitoring and logging platform that has evolved over its 18 years of existence. In its modern focus on observability it is focused on open source and AIOps. Observability has evolved with the growth of Kubernetes, and Splunk’s work around OpenTelemetry has kept parity with the open source community of Kubernetes.Spiros Xanthos is the general manager of observability at Splunk. He joins the show to talk about Splunk’s modern product portfolio and his work on his own company prior to being acquired by Splunk.
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Feb 18, 2022 • 45min
Hex Collaborative Data Workspace with Barry McCardel and Caitlin Colgrove
Barry McCardelCo-Founder and CEO at Hex
Caitlin ColgroveCo-Founder and CTO at Hex
In contrast to other IDEs, the notebook interface offers software developers a unique environment idealized for data professionals. Despite the growth in popularity, a surprising learning curve still exists for setup and configuration. A siloed notebook offers no native collaboration tools. While one can connect to a SQL database programmatically, if you’re looking for an ideal ergonomic environment for some heavy duty SQL queries, many developers seek an external tool for that job.In this episode, Kyle interviews Barry McCardel and Caitlin Colgrove from Hex. Hex is a collaborative data workspace that makes it easy to go from idea to analysis to sharing. We talk about Hex’s offering and the evolving space of notebook solutions for going beyond some of the issues noted above.
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Feb 17, 2022 • 47min
Data Quality Using Anomalo with Jeremy Stanley
When writing code, test driven development is a common accepted methodology to ensure the development of high quality software. Your organization’s data, on the other hand, is an entirely different challenge. Data can be missing due to human error, a failure with a 3rd party provider, a botched release, or dozens of other issues. When not missing, data can still become corrupted or start exhibiting a trend in the wrong direction that isn’t obvious to notice.
Anomalo is a complete data quality platform. It can monitor your enterprise data and alert you to problems that are automatically detected. In this episode, I interview Jeremy Stanley about the ways in which teams are using the platform to monitor and improve their data quality.
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Jan 31, 2022 • 48min
Scaling PlanetScale with Sugu Sougoumarane
Database product companies typically have a few phases. First, the company will develop a technology with some kind of innovation such as speed, scalability, or durability. The company will offer support contracts around that technology for a period of time, before eventually building a managed, hosted offering.
PlanetScale is a database company built around the Kubernetes-based Vitess technology. Sugu Sougoumarane is the CTO of PlanetScale, and formerly worked at YouTube, where he built large-scale SQL databases. In today’s show, he talks about building out the core PlanetScale technology, tuning PlanetScale’s consensus model, and the development of the hosted cloud service offering of the company.
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Jan 28, 2022 • 59min
Couchbase Architecture with Ravi Mayuram
Couchbase is a distributed NoSQL cloud database. Since its creation, Couchbase has expanded into edge computing, application services, and most recently a database-as-a-service called Capella.
Couchbase started as an in-memory cache and needed to be rearchitected to be a persistent storage system. In this episode, I interview Ravi Mayuram, SVP Products and Engineering at Couchbase about the architecture and the history of Couchbase. To learn more about Couchbase, check out Couchbase.com/SEDaily.
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Dec 21, 2021 • 41min
Trifacta with Joe Hellerstein
If you haven’t encountered a data quality problem, then you haven’t yet worked on a large enough project. Invariably, a gap exists between the state of raw data and what an analyst or machine learning engineer needs to solve their problem. Many organizations needing to automate data preparation workflows look to Trifacta as a solution. In this episode, I interview Joseph Hellerstein, professor of Computer Science at UC Berkeley and co-founder of Trifacta.
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Dec 10, 2021 • 43min
MemGraph with Dominik Tomicevic
Relational databases have been a fixture of software applications for decades. They are highly tuned for performance and typically offer explicit guarantees like transactional consistency. More recently, there’s been a figurative cambrian explosion of other-than-relational databases. Simple key value stores or counters were an early win in this space. Managing a graph data structure is a more challenging task than key value stores. Asking questions of graphs demands a robust query language. Ideally, you’d also want to provide common graph algorithms to users out of box.
MemGraph is an in-memory graph database that seeks to fill this need in a real-time fashion. It’s a performance driven solution that offers developers a mature option for managing and utilizing graph data. In this interview, I speak with Dominik Tomicevic, Founder and CEO of MemGraph. We discuss implementation and adoption details of MemGraph as well as the ways machine learning engineers use it for feature engineering in real time.
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Dec 9, 2021 • 39min
Amplemarket with João Batalha
The lifeblood of most companies is their sales departments. When you’re selling something other than a commodity, it’s typically necessary to carefully groom the onboarding experience for inbound future customers. Historically, companies approached this in a one-size-fits-all manner, giving all customers a common experience.
In today’s data-driven age, a better experience can be provided that is data-driven, personalized, and automated. Amplemarket leverages machine learning in the development of next-generation sales tools. In this episode, I interview João Batalha, Co-Founder, and CEO of Amplemarket.
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Nov 24, 2021 • 44min
Metaplane with Kevin Hu
Application observability is a fairly mature area. Engineering teams have a wide selection of tools they can choose to adopt and a significant amount of thought leadership and philosophy already exists giving guidance for managing your application. That application is going to persist data. As you scale up, your system is invariably going to experience problems beyond common metrics like response time, CPU usage, and throughput. At some point, you’ll experience data issues that, in many organizations, are discovered manually during a root cause analysis which links a downstream problem to a change in the database that wasn’t caught.
Metaplane is a monitoring tool for your data warehouse. It monitors your tables and raises alerts when issues such as anomaly detection occur. In this interview, I speak with Kevin Hu, Co-founder, and CEO at Metaplane. We discuss how their solution brings observability into the data warehouse.
https://twitter.com/metaplane
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Nov 23, 2021 • 58min
Risk and Compliance with Terry O’Daniel
Consumers are increasingly becoming aware of how detrimental it can be when companies mismanage data. This demand has fueled regulations, defined standards, and applied pressure to companies. Modern enterprises need to consider corporate risk management and regulatory compliance.
In this interview, I speak with Terry O’Daniel, Director of Engineering (Risk & Compliance) at Instacart.
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