Engineering at Meta

FEBRUARY 20, 2024

This new convergence helps Meta and the larger community build data management systems that are unified, more efficient, and composable. Meta’s Data Infrastructure teams have been rethinking how data management systems are designed.

Data Management 98

Data Management Bytes Management Datasets 98

Data Engineering Podcast

JULY 23, 2023

In this episode he explains how investing in high performance and operationally simplified streaming with a familiar API can yield significant benefits for software and data teams together. Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Introducing RudderStack Profiles.

Building 130

Building SQL Machine Learning Data Ingestion 130

Data Engineering Podcast

AUGUST 27, 2023

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Introducing RudderStack Profiles. RudderStack Profiles takes the SaaS guesswork and SQL grunt work out of building complete customer profiles so you can quickly ship actionable, enriched data to every downstream team.

Database 130

Database Building PostgreSQL BI 130

Data Engineering Podcast

MARCH 5, 2023

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Hey there podcast listener, are you tired of dealing with the headache that is the 'Modern Data Stack'? It's supposed to make building smarter, faster, and more flexible data infrastructures a breeze.

Building 147

Building Database Design Metadata Machine Learning 147

Data Engineering Podcast

APRIL 16, 2023

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management RudderStack helps you build a customer data platform on your warehouse or data lake. How have the recent breakthroughs in large language models (LLMs) improved your ability to build features in Zenlytic?

Business Intelligence 147

Business Intelligence Building Data Lake BI 147

Data Engineering Podcast

JUNE 11, 2023

Summary Data engineering is all about building workflows, pipelines, systems, and interfaces to provide stable and reliable data. Your data can be stable and wrong, but then it isn't reliable. Confidence in your data is achieved through constant validation and testing.

Project 130

Project Building Data Lake Machine Learning 130

Data Engineering Podcast

JULY 17, 2022

In this episode Crux CTO Mark Etherington discusses the different costs involved in managing external data, how to think about the total return on investment for your data, and how the Crux platform is architected to reduce the toil involved in managing third party data.

Data Management 130

Data Management Management Metadata MongoDB 130

Data Engineering Podcast

NOVEMBER 13, 2022

Summary Building data products is an undertaking that has historically required substantial investments of time and talent. With the rise in cloud platforms and self-serve data technologies the barrier of entry is dropping. With the rise in cloud platforms and self-serve data technologies the barrier of entry is dropping.

Building 130

Building Metadata MongoDB MySQL 130

Picnic Engineering

OCTOBER 17, 2023

Building the data foundation for world’s best online supermarket The Importance of MDM In the fast-paced world of technology, it’s easy to be captivated by the allure of artificial intelligence. To create the best online grocery experience and ensure flawless operations, mastering data management became a vital practice.

Data Management 52

Data Management Management Food Data 52

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 29, 2023

The team at Omni have taken a new approach by automatically building models based on the queries that are executed. In this episode Chris Merrick shares how they manage integration and automation around the modeling layer and how it improves the organizational experience of business intelligence.

Business Intelligence 130

Business Intelligence PostgreSQL Building BI 130

Data Engineering Podcast

JANUARY 15, 2023

In this episode Srujan Akula explains how the system is implemented and how you can start using it today with your existing data systems. Can you describe what your mission at The Modern Data Company is and the story behind it? Your flagship (only?) product is a platform that you're calling DataOS.

Coding 130

Coding Building PostgreSQL Data Lake 130

Data Engineering Podcast

NOVEMBER 6, 2022

In this episode Nick King discusses how you can be intentional about data creation in your applications and services to reduce the friction and errors involved in building data products and ML applications. Can you share your definition of "behavioral data" and how it is differentiated from other sources/types of data?

Building 130

Building IT Metadata MongoDB 130

Data Engineering Podcast

DECEMBER 12, 2021

Summary Spark is a powerful and battle tested framework for building highly scalable data pipelines. Because of its proven ability to handle large volumes of data Capital One has invested in it for their business needs. Closing Announcements Thank you for listening! Don’t forget to check out our other show, Podcast.__init__

Building 130

Building Data Pipeline BI Data Warehouse 130

The Modern Data Company

APRIL 15, 2024

With this in mind, let’s explore how to demystify the process of building your data-driven strategy, making it accessible and actionable. We’ll uncover how you can transform data into a strategic asset that propels your organization forward without getting lost in the complexity of its creation. It matters a lot.

Building 52

Building Raw Data Food Data 52

Data Engineering Podcast

SEPTEMBER 11, 2022

Summary Any business that wants to understand their operations and customers through data requires some form of pipeline. Building reliable data pipelines is a complex and costly undertaking with many layered requirements. RudderStack helps you build a customer data platform on your warehouse or data lake.

Data Pipeline 130

Data Pipeline Building MongoDB Scala 130

Data Engineering Podcast

JUNE 8, 2020

Summary The landscape of data management and processing is rapidly changing and evolving. This is a useful conversation to gain a macro perspective on where businesses are looking to improve their capabilities to work with data. If you hand a book to a new data engineer, what wisdom would you add to it?

Data Management 100

Data Management Management Machine Learning Portfolio 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. What do you have planned for the future of Privacera?

Data Governance 130

Data Governance Government Cloud Building 130

Data Engineering Podcast

NOVEMBER 16, 2020

In this episode CEO and co-founder of Isima Darshan Rawal explains how the biOS platform is architected to enable ease of use, the challenges that were involved in building an entirely new system from scratch, and how it can integrate with the rest of your data platform to allow for incremental adoption. When is it the wrong choice?

Data Management 100

Data Management Management BI Business Intelligence 100

Data Engineering Podcast

DECEMBER 25, 2022

Summary Five years of hosting the Data Engineering Podcast has provided Tobias Macey with a wealth of insight into the work of building and operating data systems at a variety of scales and for myriad purposes. Advice: build in a modular way and think of what is my escape hatch?

Building 100

Building Metadata Business Intelligence Data Lake 100

The Modern Data Company

MAY 10, 2023

In our previous post, The Pros and Cons of Leading Data Management and Storage Solutions , we untangled the differences among data lakes, data warehouses, data lakehouses, data hubs, and data operating systems. What factors are most important when building a data management ecosystem?

Data Management 52

Data Management Data Lake Management Data Warehouse 52

The Modern Data Company

MAY 10, 2023

In our previous post, The Pros and Cons of Leading Data Management and Storage Solutions , we untangled the differences among data lakes, data warehouses, data lakehouses, data hubs, and data operating systems. What factors are most important when building a data management ecosystem?

Data Management 52

Data Management Management Data Lake Data Warehouse 52

The Modern Data Company

MAY 10, 2023

In our previous post, The Pros and Cons of Leading Data Management and Storage Solutions , we untangled the differences among data lakes, data warehouses, data lakehouses, data hubs, and data operating systems. What factors are most important when building a data management ecosystem?

Data Management 52

Data Management Management Data Lake Data Warehouse 52

Data Engineering Podcast

SEPTEMBER 3, 2021

Summary The term "data platform" gets thrown around a lot, but have you stopped to think about what it actually means for you and your organization? – all Can we start by establishing a definition of "data platform" for the purpose of this conversation? When is a data platform the wrong choice?

Designing 100

Designing Building SQL BI 100

LinkedIn Engineering

JULY 19, 2023

Co-Authors: Sumedh Sakdeo , Lei Sun , Sushant Raikar , Stanislav Pak , and Abhishek Nath Introduction At LinkedIn, we build and operate an open source data lakehouse deployment to power Analytics and Machine Learning workloads. While functional, our current setup for managing tables is fragmented.

Big Data 78

Big Data Data Management Management Metadata 78

Data Engineering Podcast

MAY 13, 2021

While they provide a measure of convenience, they also require you to sacrifice a certain amount of control over your data. If you want to build a warehouse that gives you both control and flexibility then you might consider building on top of the venerable PostgreSQL project.

PostgreSQL 100

PostgreSQL Data Warehouse Building MySQL 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

DECEMBER 7, 2020

Summary Building data products are complicated by the fact that there are so many different stakeholders with competing goals and priorities. Different organizations have tried a multitude of organizational strategies to improve the success rate of these data teams with varying levels of success. centralized, embedded, etc.)

Building 100

Building Consulting Big Data Data Engineering 100

Data Engineering Podcast

MAY 25, 2021

To eliminate this impedance mismatch Edo Liberty founded Pinecone to build database that works natively with vectors. In this episode he explains how this technology will allow teams to accelerate the speed of innovation, how vectors make it possible to build more advanced search functionality, and how Pinecone is architected.

Database 100

Database Building Data Warehouse Machine Learning 100

Data Engineering Podcast

FEBRUARY 6, 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.

SQL 100

SQL Building IT Google Cloud 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

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

OCTOBER 2, 2021

If you need to deal with massive data, at high velocities, in milliseconds, then Aerospike is definitely worth learning about. Your host is Tobias Macey and today I’m interviewing Lenley Hensarling about Aerospike and building real-time data platforms Interview Introduction How did you get involved in the area of data management?

Building 100

Building BI Data Architecture 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

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

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

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