Data Engineering Podcast

SEPTEMBER 30, 2019

Summary Building an end-to-end data pipeline for your machine learning projects is a complex task, made more difficult by the variety of ways that you can structure it. We have partnered with organizations such as O’Reilly Media, Dataversity, Corinium Global Intelligence, and Data Council.

Data Pipeline 100

Data Pipeline Machine Learning Media Data 100

Data Engineering Podcast

JUNE 26, 2022

Summary The most complicated part of data engineering is the effort involved in making the raw data fit into the narrative of the business. Master Data Management (MDM) is the process of building consensus around what the information actually means in the context of the business and then shaping the data to match those semantics.

Data Management 100

Data Management Management MongoDB Scala 100

Data Engineering Podcast

JANUARY 26, 2020

Summary Data pipelines are complicated and business critical pieces of technical infrastructure. With 200Gbit private networking, scalable shared block storage, and a 40Gbit public network, you’ve got everything you need to run a fast, reliable, and bullet-proof data platform. Closing Announcements Thank you for listening!

Data Pipeline 100

Data Pipeline PostgreSQL Media Data Validation 100

Data Engineering Podcast

DECEMBER 16, 2018

In this episode Christian Heinzmann, Head of Data Warehousing at Grubhub, discusses the various requirements for data pipelines and how the overall system architecture evolves as more data is being processed. Can you start by sharing your definition of a data pipeline?

Data Pipeline 100

Data Pipeline Data Lake Data Warehouse Python 100

Ascend.io

MARCH 2, 2023

“But we also had over 75 projects orchestrated with Airflow and a combination of tools, cloud services, and bespoke code. . “But we also had over 75 projects orchestrated with Airflow and a combination of tools, cloud services, and bespoke code. The system suffered frequent outages and regularly lost months of data.

Data Pipeline 52

Data Pipeline Media Portfolio Data Ingestion 52

Data Engineering Podcast

SEPTEMBER 25, 2022

In this episode Tom Baeyens explains their reasons for creating a new syntax for expressing and validating checks for data assets and processes, as well as how to incorporate it into your own projects. Especially once they realize 90% of all major data sources like Google Analytics, Salesforce, Adwords, Facebook, Spreadsheets, etc.,

Building 100

Building Metadata MongoDB MySQL 100

Data Engineering Podcast

FEBRUARY 13, 2022

To simplify the work of managing the full flow of your customer data and keep you in full control the team at Rudderstack created their eponymous open source platform that allows you to work with first and third party data, as well as build and manage reverse ETL workflows. Who are the target users of Rudderstack?

Building 100

Building Hadoop Data Pipeline Metadata 100

Data Engineering Podcast

JANUARY 23, 2022

He also provides some excellent insights into the factors that play into the build vs. buy decision at different organizational sizes. Today’s episode is Sponsored by Prophecy.io – the low-code data engineering platform for the cloud. The only thing worse than having bad data is not knowing that you have it.

Building 100

Building Management Data Pipeline Metadata 100

Data Engineering Podcast

FEBRUARY 15, 2021

In order to be able to truly derive insights from the data that an organization collects, there are certain foundational capabilities that they need to have capacity for. This is a great conversation about the initial steps that every group should be thinking of as they start down the road to making data informed decisions.

Building 100

Building Data Warehouse BI Data Pipeline 100

ProjectPro

DECEMBER 7, 2021

Data pipelines are a significant part of the big data domain, and every professional working or willing to work in this field must have extensive knowledge of them. Table of Contents What is a Data Pipeline? The Importance of a Data Pipeline What is an ETL Data Pipeline?

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52

Data Engineering Podcast

AUGUST 10, 2021

In this episode Mark Grover explains what he is building at Stemma, how it expands on the success of the Amundsen project, and why trust is the most important asset for data teams. RudderStack’s smart customer data pipeline is warehouse-first. Tell me more about Stemma and how it compares to Amundsen?

IT 130

IT Building Data Warehouse Python 130

Data Engineering Podcast

MARCH 16, 2020

In this episode Adam Kocoloski shares the history of the project, how it works under the hood, and how the new design will improve the project for our new era of computation. This was an interesting conversation about the challenges of maintaining a large and mission critical project and the work being done to evolve it.

Building 100

Building Data Warehouse NoSQL Data Lake 100

Data Engineering Podcast

JUNE 17, 2017

Preamble Hello and welcome to the Data Engineering Podcast, the show about modern data infrastructure When you’re ready to launch your next project you’ll need somewhere to deploy it. Can you start by giving an overview of your pipeline and the type of workload that you are optimizing for?

Data Pipeline 100

Data Pipeline Kafka Business Intelligence Architecture 100

Data Engineering Podcast

OCTOBER 28, 2019

In an effort to create a better abstraction for building data applications Nick Schrock created Dagster. In this episode he explains his motivation for creating a product for data management, how the programming model simplifies the work of building testable and maintainable pipelines, and his vision for the future of data programming.

Building 100

Building Data Pipeline Programming Language Metadata 100

Data Engineering Podcast

MAY 15, 2022

Srivatsan Sridharan has had the opportunity to design, build, and run data lake platforms for both Yelp and Robinhood, with many valuable lessons learned from each experience. Signup for the SaaS product at dataengineeringpodcast.com/acryl RudderStack helps you build a customer data platform on your warehouse or data lake.

Data Lake 100

Data Lake Building BI Architecture 100

Data Engineering Podcast

DECEMBER 19, 2021

Summary Building a well managed data ecosystem for your organization requires a holistic view of all of the producers, consumers, and processors of information. The team at Metaphor are building a fully connected metadata layer to provide both technical and social intelligence about your data.

Systems 100

Systems Building Metadata Data Warehouse 100

Data Engineering Podcast

AUGUST 28, 2022

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management When you’re ready to build your next pipeline, or want to test out the projects you hear about on the show, you’ll need somewhere to deploy it, so check out our friends at Linode.

Building 100

Building MongoDB Scala MySQL 100

Data Engineering Podcast

NOVEMBER 9, 2020

Summary A data catalog is a critical piece of infrastructure for any organization who wants to build analytics products, whether internal or external. While there are a number of platforms available for building that catalog, many of them are either difficult to deploy and integrate, or expensive to use at scale.

Building 100

Building PostgreSQL BI Metadata 100

Data Engineering Podcast

FEBRUARY 8, 2021

Summary With all of the tools and services available for building a data platform it can be difficult to separate the signal from the noise. In this episode Zeeshan Qureshi and Michelle Ark share their experiences using DBT to manage the data warehouse for Shopify. What kinds of data sources are you working with?

Data Warehouse 100

Data Warehouse Building BI SQL 100

Data Engineering Podcast

DECEMBER 14, 2020

In this episode Andrew Gross, Bobby Muldoon, and Anup Segu describe the self service data platform that they have built to allow data analysts to own the end-to-end delivery of data projects and how that has allowed them to scale their output. If you hand a book to a new data engineer, what wisdom would you add to it?

Data Analytics 100

Data Analytics Building MySQL Data 100

Data Engineering Podcast

JULY 2, 2023

In this episode Razi Raziuddin shares how data engineering teams can support the machine learning workflow through the development and support of systems that empower data scientists and ML engineers to build and maintain their own features. How is this distinct from other forms of data pipeline development and delivery?

Machine Learning 130

Machine Learning Data Engineering Data Engineer Engineering 130

Ascend.io

APRIL 12, 2023

From this research, we developed a framework with a sequence of stages to implement data integrity quickly and measurably via data pipelines. Table of Contents Why does data integrity matter? At every level of a business, individuals must trust the data, so they can confidently make timely decisions.

Data Pipeline 52

Data Pipeline Data Integration Datasets Data 52

Data Engineering Podcast

JULY 27, 2021

This is a fascinating conversation with a lot of useful lessons for anyone who wants to understand the operational aspects of Pulsar and the benefits that it can provide to data workloads. RudderStack’s smart customer data pipeline is warehouse-first. Go to dataengineeringpodcast.com/97things today to get your copy!

Building 100

Building Management Kafka Data Warehouse 100

ProjectPro

FEBRUARY 16, 2023

With so much riding on the efficiency of ETL processes for data engineering teams, it is essential to take a deep dive into the complex world of ETL on AWS to take your data management to the next level. This is particularly useful for companies that need to process data in near-real-time.

AWS 52

AWS Data Management ETL Tools Management 52

Data Engineering Podcast

OCTOBER 30, 2022

In this episode Amir Orad discusses the Sisense platform and how it facilitates the embedding of analytics and data insights in every aspect of organizational and end-user experiences. Especially once they realize 90% of all major data sources like Google Analytics, Salesforce, Adwords, Facebook, Spreadsheets, etc.,

Business Intelligence 130

Business Intelligence Metadata MongoDB MySQL 130

Data Engineering Podcast

DECEMBER 11, 2022

Summary One of the most critical aspects of software projects is managing its data. Managing the operational concerns for your database can be complex and expensive, especially if you need to scale to large volumes of data, high traffic, or geographically distributed usage.

Database 100

Database MySQL Data Lake MongoDB 100

Data Engineering Podcast

SEPTEMBER 2, 2019

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management When you’re ready to build your next pipeline, or want to test out the projects you hear about on the show, you’ll need somewhere to deploy it, so check out our friends at Linode.

Building 100

Building Data Database Design Media 100

Towards Data Science

AUGUST 2, 2023

A Step-by-Step Guide to Building an Effective Data Quality Strategy from Scratch How to build an interpretable data quality framework based on user expectations Photo by Rémi Müller on Unsplash As data engineers, we are (or should be) responsible for the quality of the data we provide.

Building 98

Building Data Consolidation Data Datasets 98

Data Engineering Podcast

NOVEMBER 6, 2022

In this episode she shares the story behind the project, the details of how it is implemented, and how you can use it for your own data projects. RudderStack helps you build a customer data platform on your warehouse or data lake. And don’t forget to thank them for their continued support of this show!

MongoDB 130

MongoDB Scala MySQL Data Lake 130

Data Engineering Podcast

DECEMBER 4, 2022

In this episode Arjun Narayan explains how the technical barriers to adopting real-time data in your analytics and applications have become surmountable by organizations of all sizes. Modern data teams are dealing with a lot of complexity in their data pipelines and analytical code.

Data Lake 100

Data Lake MongoDB MySQL Data Warehouse 100

Data Engineering Podcast

DECEMBER 4, 2022

Summary Business intelligence is the foremost application of data in organizations of all sizes. Zing Data is building a mobile native platform for business intelligence. In this episode Sabin Thomas shares his experiences building the platform and the interesting ways that it is being used.

Business Intelligence 100

Business Intelligence Metadata BI MongoDB 100

Databand.ai

AUGUST 30, 2023

The DataOps framework is a set of practices, processes, and technologies that enables organizations to improve the speed, accuracy, and reliability of their data management and analytics operations. This can be achieved through the use of automated data ingestion, transformation, and analysis tools.

Data Governance 52

Data Governance Data Pipeline Government Data Cleanse 52

Data Engineering Podcast

OCTOBER 30, 2022

It’s hard to have a conversation about data engineering or analysis without mentioning it. Despite its widespread adoption there are still rough edges in its workflow that cause friction for data analysts. To help simplify the adoption and management of dbt projects Nandam Karthik helped create Optimus.

Engineering 100

Engineering MongoDB Scala MySQL 100

Data Engineering Podcast

MAY 22, 2022

Summary Machine learning has become a meaningful target for data applications, bringing with it an increase in the complexity of orchestrating the entire data flow. Flyte is a project that was started at Lyft to address their internal needs for machine learning and integrated closely with Kubernetes as the execution manager.

Machine Learning 130

Machine Learning Data Engineering Data Engineer Cloud 130

Data Engineering Podcast

OCTOBER 16, 2022

In this episode Adrian Kosowski explains how the Pathway product got started, how its design simplifies the creation of data products that support supply chain operations, and how developers can help to build an ecosystem of applications that allow businesses to accelerate their time to insight.

Database 100

Database Metadata MongoDB MySQL 100

Monte Carlo

JUNE 20, 2023

While it seems like it fits the requirements, you don’t quite trust it — who knows where the data in this shifty table has been. This project is your baby; you just can’t risk it. That’s a lost opportunity experienced by too many data teams, especially those with decentralized organizational structures or implementing data mesh.

Building 52

Building Data Datasets High Quality Data 52

Data Engineering Podcast

AUGUST 3, 2021

Vinoth Chandar helped to create the Hudi project while at Uber to address this challenge. By adding support for small, incremental inserts into large table structures, and building support for arbitrary update and delete operations the Hudi project brings the best of both worlds together.

Data Lake 130

Data Lake Data Warehouse Hadoop Architecture 130