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United States

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English


Episodes

User Analytics In Depth At Heap with Dan Robinson - Episode 36

6/17/2018
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Web and mobile analytics are an important part of any business, and difficult to get right. The most frustrating part is when you realize that you haven't been tracking a key interaction, having to write custom logic to add that event, and then waiting to collect data. Heap is a platform that automatically tracks every event so that you can retroactively decide which actions are important to your business and easily build reports with or without SQL. In this episode Dan Robinson, CTO of...

Duration:01:11:28

CockroachDB In Depth with Peter Mattis - Episode 35

6/10/2018
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With the increased ease of gaining access to servers in data centers across the world has come the need for supporting globally distributed data storage. With the first wave of cloud era databases the ability to replicate information geographically came at the expense of transactions and familiar query languages. To address these shortcomings the engineers at Cockroach Labs have built a globally distributed SQL database with full ACID semantics in Cockroach DB. In this episode Peter Mattis,...

Duration:00:50:25

ArangoDB: Fast, Scalable, and Multi-Model Data Storage with Jan Steeman and Jan Stücke - Episode 34

6/3/2018
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Using a multi-model database in your applications can greatly reduce the amount of infrastructure and complexity required. ArangoDB is a storage engine that supports documents, dey/value, and graph data formats, as well as being fast and scalable. In this episode Jan Steeman and Jan Stücke explain where Arango fits in the crowded database market, how it works under the hood, and how you can start working with it today.

Duration:00:51:06

The Alooma Data Pipeline With CTO Yair Weinberger - Episode 33

5/27/2018
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Building an ETL pipeline is a common need across businesses and industries. It's easy to get one started but difficult to manage as new requirements are added and greater scalability becomes necessary. Rather than duplicating the efforts of other engineers it might be best to use a hosted service to handle the plumbing so that you can focus on the parts that actually matter for your business. In this episode CTO and co-founder of Alooma, Yair Weinberger, explains how the platform addresses...

Duration:00:57:52

PrestoDB and Starburst Data with Kamil Bajda-Pawlikowski - Episode 32

5/20/2018
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Most businesses end up with data in a myriad of places with varying levels of structure. This makes it difficult to gain insights from across departments, projects, or people. Presto is a distributed SQL engine that allows you to tie all of your information together without having to first aggregate it all into a data warehouse. Kamil Bajda-Pawlikowski co-founded Starburst Data to provide support and tooling for Presto, as well as contributing advanced features back to the project. In this...

Duration:00:43:42

Brief Conversations From The Open Data Science Conference: Part 2 - Episode 31

5/13/2018
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The Open Data Science Conference brings together a variety of data professionals each year in Boston. This week's episode consists of a pair of brief interviews conducted on-site at the conference. First up you'll hear from Andy Eschbacher of Carto. He dscribes some of the complexities inherent to working with geospatial data, how they are handling it, and some of the interesting use cases that they enable for their customers. Next is Todd Blaschka, COO of TigerGraph. He explains how graph...

Duration:00:33:56

Brief Conversations From The Open Data Science Conference: Part 1 - Episode 30

5/6/2018
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The Open Data Science Conference brings together a variety of data professionals each year in Boston. This week's episode consists of a pair of brief interviews conducted on-site at the conference. First up you'll hear from Alan Anders, the CTO of Applecart about their challenges with getting Spark to scale for constructing an entity graph from multiple data sources. Next I spoke with Stepan Pushkarev, the CEO, CTO, and Co-Founder of Hydrosphere.io about the challenges of running machine...

Duration:00:42:07

Metabase Self Service Business Intelligence with Sameer Al-Sakran - Episode 29

4/29/2018
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Business Intelligence software is often cumbersome and requires specialized knowledge of the tools and data to be able to ask and answer questions about the state of the organization. Metabase is a tool built with the goal of making the act of discovering information and asking questions of an organizations data easy and self-service for non-technical users. In this episode the CEO of Metabase, Sameer Al-Sakran, discusses how and why the project got started, the ways that it can be used to...

Duration:00:57:38

Octopai: Metadata Management for Better Business Intelligence with Amnon Drori - Episode 28

4/22/2018
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The information about how data is acquired and processed is often as important as the data itself. For this reason metadata management systems are built to track the journey of your business data to aid in analysis, presentation, and compliance. These systems are frequently cumbersome and difficult to maintain, so Octopai was founded to alleviate that burden. In this episode Amnon Drori, CEO and co-founder of Octopai, discusses the business problems he witnessed that led him to starting the...

Duration:00:39:11

Data Engineering Weekly with Joe Crobak - Episode 27

4/14/2018
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The rate of change in the data engineering industry is alternately exciting and exhausting. Joe Crobak found his way into the work of data management by accident as so many of us do. After being engrossed with researching the details of distributed systems and big data management for his work he began sharing his findings with friends. This led to his creation of the Hadoop Weekly newsletter, which he recently rebranded as the Data Engineering Weekly newsletter. In this episode he discusses...

Duration:00:49:41

Defining DataOps with Chris Bergh - Episode 26

4/8/2018
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Managing an analytics project can be difficult due to the number of systems involved and the need to ensure that new information can be delivered quickly and reliably. That challenge can be met by adopting practices and principles from lean manufacturing and agile software development, and the cross-functional collaboration, feedback loops, and focus on automation in the DevOps movement. In this episode Christopher Bergh discusses ways that you can start adding reliability and speed to your...

Duration:01:07:28

ThreatStack: Data Driven Cloud Security with Pete Cheslock and Patrick Cable - Episode 25

4/1/2018
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Cloud computing and ubiquitous virtualization have changed the ways that our applications are built and deployed. This new environment requires a new way of tracking and addressing the security of our systems. ThreatStack is a platform that collects all of the data that your servers generate and monitors for unexpected anomalies in behavior that would indicate a breach and notifies you in near-realtime. In this episode ThreatStack's director of operations, Pete Cheslock, and senior...

Duration:00:58:21

MarketStore: Managing Timeseries Financial Data with Hitoshi Harada and Christopher Ryan - Episode 24

3/25/2018
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The data that is used in financial markets is time oriented and multidimensional, which makes it difficult to manage in either relational or timeseries databases. To make this information more manageable the team at Alapaca built a new data store specifically for retrieving and analyzing data generated by trading markets. In this episode Hitoshi Harada, the CTO of Alapaca, and Christopher Ryan, their lead software engineer, explain their motivation for building MarketStore, how it operates,...

Duration:00:39:48

Stretching The Elastic Stack with Philipp Krenn - Episode 23

3/18/2018
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Search is a common requirement for applications of all varieties. Elasticsearch was built to make it easy to include search functionality in projects built in any language. From that foundation, the rest of the Elastic Stack has been built, expanding to many more use cases in the proces. In this episode Philipp Krenn describes the various pieces of the stack, how they fit together, and how you can use them in your infrastructure to store, search, and analyze your data.

Duration:01:06:55

Database Refactoring Patterns with Pramod Sadalage - Episode 22

3/12/2018
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As software lifecycles move faster, the database needs to be able to keep up. Practices such as version controlled migration scripts and iterative schema evolution provide the necessary mechanisms to ensure that your data layer is as agile as your application. Pramod Sadalage saw the need for these capabilities during the early days of the introduction of modern development practices and co-authored a book to codify a large number of patterns to aid practitioners, and in this episode he...

Duration:00:58:58

The Future Data Economy with Roger Chen - Episode 21

3/4/2018
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Data is an increasingly sought after raw material for business in the modern economy. One of the factors driving this trend is the increase in applications for machine learning and AI which require large quantities of information to work from. As the demand for data becomes more widespread the market for providing it will begin transform the ways that information is collected and shared among and between organizations. With his experience as a chair for the O'Reilly AI conference and an...

Duration:00:52:13

Honeycomb Data Infrastructure with Sam Stokes - Episode 20

2/25/2018
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One of the sources of data that often gets overlooked is the systems that we use to run our businesses. This data is not used to directly provide value to customers or understand the functioning of the business, but it is still a critical component of a successful system. Sam Stokes is an engineer at Honeycomb where he helps to build a platform that is able to capture all of the events and context that occur in our production environments and use them to answer all of your questions about...

Duration:00:52:24

Data Teams with Will McGinnis - Episode 19

2/18/2018
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The responsibilities of a data scientist and a data engineer often overlap and occasionally come to cross purposes. Despite these challenges it is possible for the two roles to work together effectively and produce valuable business outcomes. In this episode Will McGinnis discusses the opinions that he has gained from experience on how data teams can play to their strengths to the benefit of all.

Duration:00:38:39

TimescaleDB: Fast And Scalable Timeseries with Ajay Kulkarni and Mike Freedman - Episode 18

2/11/2018
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As communications between machines become more commonplace the need to store the generated data in a time-oriented manner increases. The market for timeseries data stores has many contenders, but they are not all built to solve the same problems or to scale in the same manner. In this episode the founders of TimescaleDB, Ajay Kulkarni and Mike Freedman, discuss how Timescale was started, the problems that it solves, and how it works under the covers. They also explain how you can start using...

Duration:01:21:54

Pulsar: Fast And Scalable Messaging with Rajan Dhabalia and Matteo Merli - Episode 17

2/3/2018
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One of the critical components for modern data infrastructure is a scalable and reliable messaging system. Publish-subscribe systems have been popular for many years, and recently stream oriented systems such as Kafka have been rising in prominence. This week Rajan Dhabalia and Matteo Merli discuss the work they have done on Pulsar, which supports both options, in addition to being globally scalable and fast. They explain how Pulsar is architected, how to scale it, and how it fits into your...

Duration:01:17:11