Building the Backend: Data Solutions that Power Leading Organizations

Travis Lawrence
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  • TECHNOLOGY
Building the Backend: Data Solutions that Power Leading Organizations Podcast

Welcome to the Building the Backend Podcast! We’re a data podcast focused on uncovering the data technologies, processes, and patterns that are driving today’s most successful companies. You will hear from data leaders sharing their knowledge and insights with what’s working and what’s not working for them. Our goal is to bring you valuable insights that will save you and your team time when building a modern data architecture in the cloud. Topics will span from big data, AI, ML, governance, visualizations, and best practices for enabling your organization to be data-driven. If you are a chief data officer, data architect, data engineer, data analyst, and those building the backend data solutions then HIT SUBSCRIBE!

  1. 2022-03-15

    The Analytics Engine for All Your Data with Justin Borgman @ Starburst

    In this episode we speak with Justin Borgman, Chairman & CEO at Starburst, which is based on open source Trino (formerly PrestoSQL) and was recently valued at $3.35 billion after securing their series D funding. In this episode we discuss convergence of DW’s / DL's, why data lakes fail and much much more. Top 3 takeawaysThe data mesh architecture is gaining adoption more quickly in Europe due to GDPR.There were two main limitations of data lakes when comparing to DW’s, performa...

    36 min

  2. 2022-03-01

    Transform Your Object Storage Into a Git-like Repository With Paul Singman @ LakeFS

    In this episode we speak with Paul Singman Developer Advocate at Treeverse / LakeFS. LakeFS is an open source project that allows you to transform your object storage into a Git-like repository. Top 3 takeawaysLakeFS enables use cases like debugging to quickly view historical versions of your data at a specific point in time and running ML experiments over the same set of data with branching..The current data landscape is very fragmented with many tools available.. Over the coming ...

    27 min

  3. 2022-02-01

    Enable Faster Data Processing and Access with Apache Arrow with Matt Topol @ Factset

    In this episode we speak with Matt Topol, Vice President, Principal Software Architect @ FactSet and dive deep into how they are taking advantage of Apache Arrow for faster processing and data access. Below are the top 3 value bombs:Apache Arrow is an open-source in-memory columnar format that creates a standard way to share and process data structures.Apache Arrow Flight eliminates serialization and deserialization which enables faster access to query results compared to traditional JDB...

    49 min

  4. 2022-01-25

    Implementing Amundsen @ Convoy with Chad Sanderson

    In this episode we speak with Chad Sanderson head of data and early stage startup advisor focused on data innovation @ Convoy and uncover their journey to implementing Amundsen, an open source data catalog.Below are the top 3 value bombs: Data Scientist’s should not be spending the majority of their time trying to find the data they are interested in. Amundsen is a powerful open source data catalog that integrates across your data landscape to provide visibility into your data...

    36 min

  5. 2022-01-18

    The Importance of Treating Your Data Initiatives as Products with Murali Bhogavalli

    Your data team should not just be keeping the lights on, but should be building and creating data products to support the business. In this episode we speak with Murali Bhogavalli a data product manager and explore what is a data product manager and how they differ from a traditional product manager. Below are the top 3 value bombs: Data should be looked at as a product and treated as such within the organization (i.e. agile methodologies, continuous improvement…)Organizations need ...

    27 min

  6. 2022-01-11

    Open-Source Data Catalog Amundsen with Mark Grover @ Stemma

    In this episode of Building The Backend we hear from Mark Grover founder @ Stemma, co-creator of Amundsen. Stemma is a fully managed data catalog, powered by the leading open-source data catalog, Amundsen.Below are top 3 value bombs: Automated data catalogs are critical to help wrangle the growing data across organizations. (i.e. Being able to identify out of 150 columns on this table only 10 are being used downstream)Tribal knowledge and context cannot be automated - data catalogs canno...

    41 min

  7. 2021-11-09

    Architecting a Modern Data Lake with Dipti Borkar from Ahana

    In this episode of Building The Backend we hear from Dipti Borkar cofounder @ Ahana a managed service for Presto on AWS, where we talk all about the data lake, how it should be structured and where the industry is going. Below are top 3 value bombs: Presto is an open source distributed SQL query engine originally created by Facebook, mainly used to run SQL queries on data lakes but can be connected to relational data stores as well. Ahana is a managed Presto service on AWS wit...

    40 min

  8. 2021-11-02

    Open Source BI with Apache Superset

    What tools are you using for data viz? Are they low cost? One option is Apache Superset, in this episode we speak with Robert Stolz to learn more about Superset and other open source data tools. Top 3 Value Bombs: One popular use case with Apache Superset is embedding it within applications because it’s open source, there is a wide range of flexibility to integrate it with existing systems. Apache Superset supports any sources supported by the Python SQL toolkit called SQLAlch...

    29 min
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About

Welcome to the Building the Backend Podcast! We’re a data podcast focused on uncovering the data technologies, processes, and patterns that are driving today’s most successful companies. You will hear from data leaders sharing their knowledge and insights with what’s working and what’s not working for them. Our goal is to bring you valuable insights that will save you and your team time when building a modern data architecture in the cloud. Topics will span from big data, AI, ML, governance, visualizations, and best practices for enabling your organization to be data-driven. If you are a chief data officer, data architect, data engineer, data analyst, and those building the backend data solutions then HIT SUBSCRIBE!

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