Latest Episodes

Set Up Your Own Data-as-a-Service Platform On Dremio with Tomer Shiran - Episode 58

November 26, 2018 tmacey Comments Off on Set Up Your Own Data-as-a-Service Platform On Dremio with Tomer Shiran - Episode 58

When your data lives in multiple locations, belonging to at least as many applications, it is exceedingly difficult to ask complex questions of it. The default way to manage this situation is by crafting pipelines that will extract the data from source systems and load it into a data lake or data warehouse. In order to make this situation more manageable and allow everyone in the business to gain value from the data the folks at Dremio built a self service data platform. In this episode Tomer Shiran, CEO...

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Stateful, Distributed Stream Processing on Flink with Fabian Hueske - Episode 57

November 19, 2018 tmacey Comments Off on Stateful, Distributed Stream Processing on Flink with Fabian Hueske - Episode 57

Modern applications and data platforms aspire to process events and data in real time at scale and with low latency. Apache Flink is a true stream processing engine with an impressive set of capabilities for stateful computation at scale. In this episode Fabian Hueske, one of the original authors, explains how Flink is architected, how it is being used to power some of the world's largest businesses, where it sits in the lanscape of stream processing tools, and how you can start using it today.

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How Upsolver Is Building A Data Lake Platform In The Cloud with Yoni Iny - Episode 56

November 11, 2018 tmacey Comments Off on How Upsolver Is Building A Data Lake Platform In The Cloud with Yoni Iny - Episode 56

A data lake can be a highly valuable resource, as long as it is well built and well managed. Unfortunately, that can be a complex and time-consuming effort, requiring specialized knowledge and diverting resources from your primary business. In this episode Yoni Iny, CTO of Upsolver, discusses the various components that are necessary for a successful data lake project, how the Upsolver platform is architected, and how modern data lakes can benefit your organization.

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Self Service Business Intelligence And Data Sharing Using Looker with Daniel Mintz - Episode 55

November 5, 2018 tmacey Comments Off on Self Service Business Intelligence And Data Sharing Using Looker with Daniel Mintz - Episode 55

Business intelligence is a necessity for any organization that wants to be able to make informed decisions based on the data that they collect. Unfortunately, it is common for different portions of the business to build their reports with different assumptions, leading to conflicting views and poor choices. Looker is a modern tool for building and sharing reports that makes it easy to get everyone on the same page. In this episode Daniel Mintz explains how the product is architected, the features that make it easy for any business...

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Using Notebooks As The Unifying Layer For Data Roles At Netflix with Matthew Seal - Episode 54

October 29, 2018 tmacey Comments Off on Using Notebooks As The Unifying Layer For Data Roles At Netflix with Matthew Seal - Episode 54

Jupyter notebooks have gained popularity among data scientists as an easy way to do exploratory analysis and build interactive reports. However, this can cause difficulties when trying to move the work of the data scientist into a more standard production environment, due to the translation efforts that are necessary. At Netflix they had the crazy idea that perhaps that last step isn't necessary, and the production workflows can just run the notebooks directly. Matthew Seal is one of the primary engineers who has been tasked with building the tools...

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Of Checklists, Ethics, and Data with Emily Miller and Peter Bull (Cross Post from Podcast.__init__) - Episode 53

October 22, 2018 tmacey Comments Off on Of Checklists, Ethics, and Data with Emily Miller and Peter Bull (Cross Post from Podcast.__init__) - Episode 53

As data science becomes more widespread and has a bigger impact on the lives of people, it is important that those projects and products are built with a conscious consideration of ethics. Keeping ethical principles in mind throughout the lifecycle of a data project helps to reduce the overall effort of preventing negative outcomes from the use of the final product. Emily Miller and Peter Bull of Driven Data have created Deon to improve the communication and conversation around ethics among and between data teams. It is a Python...

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Improving The Performance Of Cloud-Native Big Data At Netflix Using The Iceberg Table Format with Ryan Blue - Episode 52

October 15, 2018 tmacey Comments Off on Improving The Performance Of Cloud-Native Big Data At Netflix Using The Iceberg Table Format with Ryan Blue - Episode 52

With the growth of the Hadoop ecosystem came a proliferation of implementations for the Hive table format. Unfortunately, with no formal specification, each project works slightly different which increases the difficulty of integration across systems. The Hive format is also built with the assumptions of a local filesystem which results in painful edge cases when leveraging cloud object storage for a data lake. In this episode Ryan Blue explains how his work on the Iceberg table format specification and reference implementation has allowed Netflix to improve the performance and...

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Combining Transactional And Analytical Workloads On MemSQL with Nikita Shamgunov - Episode 51

October 9, 2018 tmacey Comments Off on Combining Transactional And Analytical Workloads On MemSQL with Nikita Shamgunov - Episode 51

One of the most complex aspects of managing data for analytical workloads is moving it from a transactional database into the data warehouse. What if you didn't have to do that at all? MemSQL is a distributed database built to support concurrent use by transactional, application oriented, and analytical, high volume, workloads on the same hardware. In this episode the CEO of MemSQL describes how the company and database got started, how it is architected for scale and speed, and how it is being used in production. This was...

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Building A Knowledge Graph From Public Data At Enigma With Chris Groskopf - Episode 50

October 1, 2018 tmacey Comments Off on Building A Knowledge Graph From Public Data At Enigma With Chris Groskopf - Episode 50

There are countless sources of data that are publicly available for use. Unfortunately, combining those sources and making them useful in aggregate is a time consuming and challenging process. The team at Enigma builds a knowledge graph for use in your own data projects. In this episode Chris Groskopf explains the platform they have built to consume large varieties and volumes of public data for constructing a graph for serving to their customers. He discusses the challenges they are facing to scale the platform and engineering processes, as well...

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A Primer On Enterprise Data Curation with Todd Walter - Episode 49

September 24, 2018 tmacey Comments Off on A Primer On Enterprise Data Curation with Todd Walter - Episode 49

As your data needs scale across an organization the need for a carefully considered approach to collection, storage, organization, and access becomes increasingly critical. In this episode Todd Walter shares his considerable experience in data curation to clarify the many aspects that are necessary for a successful platform for your business. Using the metaphor of a museum curator carefully managing the precious resources on display and in the vaults, he discusses the various layers of an enterprise data strategy. This includes modeling the lifecycle of your information as a...

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