Data Engineering Podcast

NOVEMBER 11, 2019

Summary The practice of data management is one that requires technical acumen, but there are also many policy and regulatory issues that inform and influence the design of our systems. This week’s episode is also sponsored by Datacoral, an AWS-native, serverless, data infrastructure that installs in your VPC.

Designing 100

Designing Data Pipeline Programming Language Data 100

Data Engineering Podcast

MARCH 27, 2022

The growing prominence of cloud and hybrid environments in data management adds additional stress to an already complex endeavor. Privacera is an enterprise grade solution for cloud and hybrid data governance built on top of the robust and battle tested Apache Ranger project.

Data Governance 130

Data Governance Government Cloud Building 130

Knowledge Hut

JANUARY 9, 2024

SAP frameworks provide a foundation for building custom SAP applications that meet the specific needs of a business. As the demand for SAP is growing, SAP project managers with the right skills and experience are becoming a priority. Who is a SAP Project Manager and What do They Do?

Project 52

Project Management Certification Portfolio 52

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. How does it work?

Building 100

Building Hadoop Data Pipeline Metadata 100

Data Engineering Podcast

MAY 15, 2022

Summary Designing a data platform is a complex and iterative undertaking which requires accounting for many conflicting needs. Designing a platform that relies on a data lake as its central architectural tenet adds additional layers of difficulty. How do you approach the build vs. buy problem and quantify the tradeoffs?

Data Lake 100

Data Lake Building BI Architecture 100

Data Engineering Podcast

AUGUST 20, 2021

In this episode Vikrant Dubey discusses his work on the Cuelake project which allows data analysts to build a lakehouse with SQL queries. By building on top of Zeppelin, Spark, and Iceberg he and his team at Cuebook have built an autoscaled cloud native system that abstracts the underlying complexity.

Building 100

Building Data Lake Data Warehouse SQL 100

Data Engineering Podcast

JANUARY 23, 2022

In this episode he shares his career journey, the challenges related to management of data professionals, and the platform design that he and his team have built to power analytics at a large company. Prophecy provides an easy-to-use visual interface to design & deploy data pipelines on Apache Spark & Apache Airflow.

Building 100

Building Management Data Pipeline Metadata 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

SEPTEMBER 11, 2022

In this episode he shares the design of the project and how it fits into your development practices. Prefect is the modern Dataflow Automation platform for the modern data stack, empowering data practitioners to build, run and monitor robust pipelines at scale. How is the Schemata utility implemented?

Systems 100

Systems Metadata Building MongoDB 100

Data Engineering Podcast

JULY 12, 2021

Summary We have been building platforms and workflows to store, process, and analyze data since the earliest days of computing. Over that time there have been countless architectures, patterns, and "best practices" to make that task manageable. RudderStack’s smart customer data pipeline is warehouse-first.

Designing 100

Designing Data Warehouse Data Governance Consulting 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

Knowledge Hut

OCTOBER 27, 2023

Data visualization and presentation techniques help you present information and make faster decisions. Top Power BI Project Ideas Microsoft is always making Power BI better, and now that it's part of Fabric, the updates are really big. I have put together a list of Power BI projects for practice and to learn from.

BI 52

BI Project Datasets Healthcare 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. What are the ways that reliability is measured for data assets? Can you describe what SodaCL is and the story behind it?

Building 100

Building Metadata MongoDB MySQL 100

Data Engineering Podcast

APRIL 19, 2020

Summary Modern applications frequently require access to real-time data, but building and maintaining the systems that make that possible is a complex and time consuming endeavor. Eventador is a managed platform designed to let you focus on using the data that you collect, without worrying about how to make it reliable.

Building 100

Building PostgreSQL MongoDB SQL 100

Data Engineering Podcast

AUGUST 26, 2019

Summary Data engineers are responsible for building tools and platforms to power the workflows of other members of the business. Benn Stancil is the chief analyst at Mode Analytics and in this episode he explains the set of considerations and requirements that data analysts need in their tools and.

Building 100

Building Data Analytics Media Data Engineering 100

Knowledge Hut

DECEMBER 28, 2023

It is designed to handle errors and issues efficiently, making it suitable for local computing and storage. In this blog, we'll talk about intriguing and real-time sample Hadoop projects with source codes that can help you take your data analysis to the next level. Why Are Hadoop Projects So Important?

Hadoop 52

Hadoop Project Datasets Big Data 52

Data Engineering Podcast

JULY 27, 2020

In this episode he shares his approach to testing complex systems, the common challenges that are faced by engineers who build them, and why it is important to understand their limitations. I’m working with O’Reilly on a project to collect the 97 things that every data engineer should know, and I need your help.

Systems 100

Systems Building Scala Java 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

Data Engineering Podcast

SEPTEMBER 3, 2023

The dlt project was created to eliminate overhead and bring data integration into your full control as a library component of your overall data system. In this episode Adrian Brudaru explains how it works, the benefits that it provides over other data integration solutions, and how you can start building pipelines today.

Data Integration 162

Data Integration BI SQL Python 162

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

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

Knowledge Hut

SEPTEMBER 29, 2023

In the below blog, we are going to read more about some of these AWS Solution Architect projects. In the normal world, architects are responsible for creating structures and various designs of buildings. Why You Should Work on AWS Projects? There are several AWS open-source projects available that can aid with expertise.

AWS 52

AWS Project Coding Cloud Computing 52

Knowledge Hut

NOVEMBER 2, 2023

As an AWS Cloud Practitioner with experience in delivering multiple AWS cloud practitioner projects, I vividly recall assisting a startup to prove the scalability of their AI solution on AWS during one of my early projects. In this dynamic profession, there is no alternative to project-based learning.

AWS 52

AWS Coding Cloud Project 52

Data Engineering Podcast

AUGUST 31, 2020

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management What are the pieces of advice that you wish you had received early in your career of data engineering? If you hand a book to a new data engineer, what wisdom would you add to it? When is Firebolt the wrong choice?

Data Warehouse 100

Data Warehouse Cloud Building Data Lake 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

OCTOBER 22, 2023

In this episode Ranjith Raghunath shares his thoughts on how to build a strategy for the development, delivery, and evolution of data products. Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Introducing RudderStack Profiles.

BI 162

BI SQL Machine Learning Programming Language 162

Data Engineering Podcast

OCTOBER 8, 2023

Max Cho found that fact frustrating enough that he decided to build a business of making policy selection more navigable. In this episode he shares his journey of data collection and analysis and the challenges of automating an intentionally manual industry. What are the different sources of data that you work with?

Insurance 162

Insurance BI SQL Machine Learning 162

Data Engineering Podcast

JANUARY 21, 2019

Summary Building internal expertise around big data in a large organization is a major competitive advantage. In this episode Jesper Søgaard and Keld Antonsen share the story of starting and growing the big data group at LEGO. My understanding is that the big data group at LEGO is a fairly recent development.

Big Data 100

Big Data Systems Building Hadoop 100

Data Engineering Podcast

NOVEMBER 26, 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.

Data Warehouse 100

Data Warehouse Building PostgreSQL Kafka 100

Data Engineering Podcast

MAY 19, 2019

Summary In recent years the traditional approach to building data warehouses has shifted from transforming records before loading, to transforming them afterwards. The data build tool (dbt) is designed to bring battle tested engineering practices to your analytics pipelines. When is it the wrong choice?

Data Analytics 100

Data Analytics Building Engineering Data Warehouse 100

Data Engineering Podcast

DECEMBER 22, 2019

Between those use cases there are varying levels of support for fast reads on quickly changing data. To address that need more completely the team at Materialize has created an engine that allows for building queryable views of your data as it is continually updated from the stream of changes being generated by your applications.

SQL 100

SQL Building Engineering Java 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. What is feature engineering is and why/to whom it matters?

Machine Learning 130

Machine Learning Data Engineering Data Engineer Engineering 130

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

JULY 9, 2023

In this episode Maxime Beauchemin of Airflow and Superset fame shares his vision for the entity-centric data model and how you can incorporate it into your own warehouse design. Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Introducing RudderStack Profiles.

Database-centric 130

Database-centric Machine Learning SQL Data Engineering 130

Data Engineering Podcast

JULY 8, 2018

Summary Data integration and routing is a constantly evolving problem and one that is fraught with edge cases and complicated requirements. The Apache NiFi project models this problem as a collection of data flows that are created through a self-service graphical interface. How did you get involved with the project?

Building 100

Building Transportation Kafka Java 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