Lyft Engineering

SEPTEMBER 6, 2023

Our team, the Developer Infrastructure team, aims to build the best tools to enable microservice owners (our “customers”) to reliably and quickly test changes in a local and/or end-to-end environment. Routing overrides metadata: embed metadata in API request headers defining which offloaded deployment the request will get routed to.

Building 80

Building Metadata Electronics Engineering 80

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. He also provides some excellent insights into the factors that play into the build vs. buy decision at different organizational sizes.

Building 100

Building Management Data Pipeline Metadata 100

Databand.ai

AUGUST 30, 2023

Building a Winning Data Quality Strategy: Step by Step Eitan Chazbani August 30, 2023 What Is a Data Quality Strategy? This includes defining roles and responsibilities related to managing datasets and setting guidelines for metadata management. This starts with building a strong business case for your data quality strategy.

Building 52

Building Data Cleanse Data Governance Datasets 52

Zalando Engineering

JUNE 30, 2020

Our Engineering Blog was launched in June 2020 after a long break of the previous tech blog. What customizations we applied to design the blog and the publishing process. Static Site Generator Our previous tech blog used a CMS which only a limited number of people had access to. It's actively developed.

Engineering 40

Engineering Bytes AWS Python 40

Data Engineering Weekly

DECEMBER 10, 2023

Capital One: Insights on building a data strategy to drive business value One of the hotly debated and many companies struggling with is to build an agile data strategy to drive business value. link] Evidently: ML system design - 300 case studies to learn from An amazing compilation of ML system design articles from various companies.

Data Engineering 76

Data Engineering Data Engineer Engineering Metadata 76

Data Engineering Podcast

NOVEMBER 20, 2022

Summary The majority of blog posts and presentations about data engineering and analytics assume that the consumers of those efforts are internal business users accessing an environment controlled by the business. Atlan is the metadata hub for your data ecosystem.

Systems 130

Systems Metadata Data Pipeline MongoDB 130

Netflix Tech

JANUARY 10, 2024

This introductory blog focuses on an overview of our journey. Future blogs will provide deeper dives into each service, sharing insights and lessons learned from this process. A comprehensive list of benefits offered by Cosmos can be found in the linked blog. divide the input video into small chunks 2.

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Process Pipeline-centric Media Metadata 91

Netflix Tech

OCTOBER 19, 2020

In our previous blog post we introduced Edgar, our troubleshooting tool for streaming sessions. Now let’s look at how we designed the tracing infrastructure that powers Edgar. We could also get contextual information about the streaming session by joining relevant traces with account metadata and service logs.

Building 93

Building Transportation Metadata Java 93

Data Engineering Podcast

SEPTEMBER 4, 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. A data observability platform?

IT 100

IT Metadata MongoDB MySQL 100

Data Engineering Podcast

MARCH 25, 2023

The peril is that building a robust and scalable streaming architecture is always more complicated and error-prone than you think it's going to be. It's supposed to make building smarter, faster, and more flexible data infrastructures a breeze. We feel your pain. It ends up being anything but that.

MySQL 130

MySQL Python Architecture Machine Learning 130

Netflix Tech

MARCH 25, 2019

Building and Scaling Data Lineage at Netflix to Improve Data Infrastructure Reliability, and Efficiency By: Di Lin , Girish Lingappa , Jitender Aswani Imagine yourself in the role of a data-inspired decision maker staring at a metric on a dashboard about to make a critical business decision but pausing to ask a question?—?“Can

Building 87

Building Metadata Transportation Data Ingestion 87

Pinterest Engineering

JANUARY 10, 2023

With these in mind, the following key design decisions were made: The logging service endpoint will handle logs validating, parsing, and processing. To learn more about engineering at Pinterest, check out the rest of our Engineering Blog and visit our Pinterest Labs site. Nothing else is required.

Systems 54

Systems Building Software Engineer Software Engineering 54

Netflix Tech

MARCH 10, 2023

This platform has evolved from supporting studio applications to data science applications, machine-learning applications to discover the assets metadata, and build various data facts. During this evolution, quite often we receive requests to update the existing assets metadata or add new metadata for the new features added.

Management 94

Management Kafka Metadata Media 94

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

LinkedIn Engineering

APRIL 25, 2023

In our previous blog post on GraphQL, we explained how LinkedIn uses GraphQL to expedite the process of onboarding new use-cases for external API partners. In this blog post, we will cover how the GraphQL layer is architected for use by our internal engineers to build member and customer facing applications.

Architecture 109

Architecture Metadata Java Transportation 109

LinkedIn Engineering

MARCH 21, 2023

One of the most exciting parts of our work is that we get to play a part in helping progress a skills-first labor market through our team’s ongoing engineering work in building our Skills Graph. Engineering vs PyTorch Figure 6: Sample Seed Skills Graph KGBert helps build a more accurate and complex taxonomy in less time.

Building 85

Building Recruitment Machine Learning Deep Learning 85

Rockset

NOVEMBER 7, 2023

As a result, indexing of newly ingested vectors and metadata does not negatively impact search performance. In this blog, we’ll dig into how Rockset has fully integrated vector search into its search and analytics database. Users can continuously stream and index vectors fully isolated from search. Each cell is defined by a centroid.

Cloud 64

Cloud Metadata Database SQL 64

Snowflake

AUGUST 22, 2023

The data product lifecycle includes the following stages: Discovery Design Development Deployment Let’s take a look at what they entail and the roles that lead and support each of them: Discovery starts the process. In an earlier blog post, I discussed how the notion of a product emerges from a business need.

Metadata 71

Metadata Data AWS Business Analyst 71

Snowflake

APRIL 29, 2024

DORA: Building a More Secure Financial System DORA, enacted in January 2023, moves beyond reactive measures, requiring FEs and their service providers to proactively identify vulnerabilities, prevent disruptions and plan for swift recovery from incidents. ESA will designate critical ICT providers in January 2025.

Transportation 83

Transportation Data Governance Government Consulting 83

Zalando Engineering

OCTOBER 18, 2023

The query directives are generally useful for clients to express certain types of metadata for the query. We have a separate blog post explaining the details of how Zalando uses persisted queries and how we think about schema stability and granular control. We will discuss this in detail in the next section. are some entities.

Metadata 86

Metadata Coding Banking Designing 86

Data Engineering Weekly

MARCH 10, 2024

Google: Croissant- a metadata format for ML-ready datasets Google Research introduced Croissant, a new metadata format designed to make datasets ML-ready by standardizing the format, facilitating easier use in machine learning projects. Data engineers build the systems that store and process sensitive information.

Data Engineering 52

Data Engineering Data Engineer Engineering Datasets 52

Tweag

MARCH 11, 2024

But CISA encouraged me to publish the answer as a separate blog post. It achieves very high levels of reproducibility and provenance tracking of software artifacts by design, utilizing a functional and declarative language to describe software builds and their dependencies. More details on this can be found here or here.

Metadata 60

Metadata Utilities Building Designing 60

Workfall

JUNE 12, 2023

In this blog, we will cover: What Is CDC and Its Benefits? Types of CDC Audit Columns: This method involves using designated columns within tables to track incremental changes. These additional columns store metadata like timestamps, user IDs, and change types, ensuring granular change tracking and auditability.

Telecommunication 80

Telecommunication Metadata Healthcare Finance 80

Rockset

AUGUST 27, 2023

This blog attempts to arm you with some knowledge of your future, the problems you will face, and questions you may not know yet that you need to ask. A proper survey of these approaches would fill many blog posts of this size. If it’s soon, vector latency is a major design point in these systems.

Metadata 52

Metadata Database Algorithm SQL 52

Netflix Tech

DECEMBER 3, 2022

All the above commands are very likely to be described in separate future blog posts, but right now let’s focus on the dataflow sample command. This is one way to build trust with our internal user base. This logic consists of the following parts: DDL code, table metadata information, data transformation and a few audit steps.

Data Pipeline 143

Data Pipeline Scala Metadata Food 143

Snowflake

AUGUST 31, 2023

Catalog Integration: Our newly developed Catalog Integration feature allows you to seamlessly plug Snowflake into other Iceberg catalogs tracking table metadata. In this blog post, we’ll dive into the details of these features and the benefits for customers. In addition to Iceberg External Tables, we introduced Native Iceberg Tables.

Metadata 83

Metadata AWS Data Lake Datasets 83

Snowflake

NOVEMBER 2, 2023

Over the years, the technology landscape for data management has given rise to various architecture patterns, each thoughtfully designed to cater to specific use cases and requirements. Instead, we strive to help customers by providing a platform to build architectures based on what works in their organization, even if that changes over time.

Data Lake 89

Data Lake Data Warehouse Cloud Unstructured Data 89

Christophe Blefari

JANUARY 20, 2024

The idea behind is to solve data problem by building software. Read technical blogs, watch conferences and read 📘 Designing Data-Intensive Applications (even if it could be overkill). Every company out there has his own definition for the data engineer role. My advice on this point is to learn from others.

Data Engineering 130

Data Engineering Data Engineer Engineering Hadoop 130

Data Engineering Podcast

MARCH 22, 2021

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. How do you handle observability of CDC flows?

Data Warehouse 100

Data Warehouse Metadata Data Lake Hadoop 100

Data Engineering Weekly

FEBRUARY 18, 2024

Modern data stack vendors chose speed, and never attempted to truly build something together. link] Mikkel Dengsøe: Data ownership - A practical guide Data Ownership is the fundamental construct to build reliable data engineering practices. I believe the data ownership problem is much deeper than simple metadata management.

Data Engineering 62

Data Engineering Data Engineer Engineering Data 62

Workfall

AUGUST 23, 2023

These extensions are designed to enhance and customize the browsing experience by adding new features, modifying existing ones, or integrating with other web services. These components will serve as the building blocks of our extension’s functionality. We will come up with more such use cases in our upcoming blogs.

Metadata 83

Metadata Coding Project Utilities 83

Pinterest Engineering

NOVEMBER 7, 2023

For these reasons, and others detailed in our original PubSub Client blog post , our team has decided to invest in building, productionalizing, and most recently open-sourcing PubSub Client (PSC). years since our previous blog post, PSC has been battle-tested at large scale in Pinterest with notably positive feedback and results.

Kafka 99

Kafka Java Software Engineer Software Engineering 99

Knowledge Hut

MAY 9, 2024

In this blog post, we will look at some of the world's highest paying data science jobs, what they entail, and what skills and experience you need to land them. Responsibilities Data architects assess an organization's data sources and design plans for centralized data management. What is Data Science?

Data Science 52

Data Science Data Mining Data Architect Programming Language 52

Netflix Tech

JANUARY 25, 2023

For example, we have a service that stores a movie entity’s metadata or a service that stores metadata about images. In Marken, an annotation is a piece of metadata which can be attached to an object from any domain. Actual data is stored in the metadata section of json. In this case it is BOUNDING_BOX.

Algorithm 113

Algorithm Media Metadata Data Ingestion 113

Netflix Tech

NOVEMBER 20, 2023

In this blog post, we talk about the landscape and the challenges in workflows at Netflix. We will show how we are building a clean and efficient incremental processing solution (IPS) by using Netflix Maestro and Apache Iceberg. Foreach pattern: Users build backfill workflows using Maestro foreach support. INSERT OVERWRITE).

Process 84

Process Data Pipeline Datasets SQL 84

DoorDash Engineering

APRIL 12, 2023

Building a metrics layer that works for experimentation is not simple, as it should support different types of metrics of varying scale that are used across the diverse range of A/B tests that are being run across different products. We will also dive deep into our design and implementation processes and the lessons we learnt.

SQL 82

SQL Metadata Raw Data Government 82

AltexSoft

FEBRUARY 11, 2023

A data architect is an IT professional responsible for the design, implementation, and maintenance of the data infrastructure inside an organization. Data architecture is the organization and design of how data is collected, transformed, integrated, stored, and used by a company. What is a data architect?

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Data Architect Certification Generalist Big Data 87