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. You can observe your pipelines with built in metadata search and column level lineage. You can observe your pipelines with built in metadata search and column level lineage.

Building 100

Building Management Data Pipeline Metadata 100

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. So which static site generator to choose?

Engineering 40

Engineering Bytes AWS Python 40

Netflix Tech

OCTOBER 19, 2020

In our previous blog post we introduced Edgar, our troubleshooting tool for streaming sessions. We could also get contextual information about the streaming session by joining relevant traces with account metadata and service logs. This insight led us to build Edgar: a distributed tracing infrastructure and user experience.

Building 93

Building Transportation Metadata Java 93

Edureka

MAY 6, 2024

However, building and deploying these models is just the beginning. It involves collaboration between data scientists, ML engineers, and IT professionals to automate and optimize the end-to-end process of building, deploying, and maintaining machine learning applications. Why do we need MLOPS? Why do we need MLOps?

Machine Learning 52

Machine Learning Metadata Programming Language Healthcare 52

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

Data Council

MARCH 25, 2021

How to Build a Community (Fishtown Analytics) Claire Carroll's first personal blog post on community-building is a must-read. The key takeaway is that you should start with wondering 'why' you want to build a community. Here's our March 2021 roundup of links from across the web that we selected for you: 1.

Metadata 52

Metadata Management Building IT 52

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

Netflix Tech

JUNE 1, 2023

To do this, we devised a novel way to simulate the projected traffic weeks ahead of launch by building upon the traffic migration framework described here. It also included metadata about ads, such as ad placement and impression-tracking events. Basic with ads was launched worldwide on November 3rd.

Algorithm 136

Algorithm Metadata Kafka Systems 136

Workfall

JUNE 12, 2023

In this blog, we will cover: What Is CDC and Its Benefits? These additional columns store metadata like timestamps, user IDs, and change types, ensuring granular change tracking and auditability. We will come up with more such use cases in our upcoming blogs. Where Is CDC Used and Who Uses It?

Telecommunication 80

Telecommunication Metadata Healthcare Finance 80

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

Christophe Blefari

DECEMBER 3, 2022

Joe Reis launched his Substack — Joe is the co-author of the great The Fundamentals of Data Engineering and his blog already have 2 articles I deeply recommend: No extra credit for complexity & Groundhog Days. Anna shares a good checklist to build data team foundations.

Kafka 130

Kafka BI Finance Data 130

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.

Transportation 82

Transportation Data Governance Government Consulting 82

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

Netflix Tech

MARCH 5, 2019

While our engineering teams have and continue to build solutions to lighten this cognitive load (better guardrails, improved tooling, …), data and its derived products are critical elements to understanding, optimizing and abstracting our infrastructure. Can we measure the impact of Inclusion and Diversity initiatives?

Cloud 73

Cloud Building Amazon Web Services Metadata 73

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

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. Is it really modern?

Data Engineering 130

Data Engineering Data Engineer Engineering Hadoop 130

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 98

Kafka Java Software Engineer Software Engineering 98

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

Workfall

AUGUST 23, 2023

Inside this directory, we’ll create a file named ‘manifest.json’ This file will play a crucial role in defining the metadata, permissions, and settings for our extension. These components will serve as the building blocks of our extension’s functionality. appeared first on The Workfall Blog.

Metadata 83

Metadata Coding Project Utilities 83

phData: Data Engineering

DECEMBER 16, 2021

If you missed our first blog on what a data catalog is , be sure to check it out! In this blog, we’ll explore what the ideal team to support your data catalog looks like. The Business Steward will be most familiar with the business drivers mentioned in the first blog in this series. How will Human-Driven Metadata be Captured?

Metadata 52

Metadata Datasets Data Education 52

Cloudera

AUGUST 26, 2021

In this blog post, we will ingest a real world dataset into Ozone, create a Hive table on top of it and analyze the data to study the correlation between new vaccinations and new cases per country using a Spark ML Jupyter notebook in CML. Learn more about the impacts of global data sharing in this blog, The Ethics of Data Exchange.

Data Science 107

Data Science Cloud Hadoop Metadata 107

Cloudera

JUNE 7, 2023

It operates independently from compute and storage layers, offering integrated security and governance based on metadata. Data Catalog helps the organization understand its data by building metadata and simplifying the creation and maintenance of Ranger policies. Understanding your data is critical to protecting the data.

Government 78

Government Metadata Data Lake Data 78

Cloudera

MARCH 9, 2021

In this blog, we’ll highlight the key CDP aspects that provide data governance and lineage and show how they can be extended to incorporate metadata for non-CDP systems from across the enterprise. Extending Atlas’ metadata model. The example 1_typedef-server.json describes the server typedef used in this blog. .

Data Governance 93

Data Governance Government Metadata Datasets 93

Netflix Tech

NOVEMBER 13, 2023

In this blog post, we will introduce speech and music detection as an enabling technology for a variety of audio applications in Film & TV, as well as introduce our speech and music activity detection (SMAD) system which we recently published as a journal article in EURASIP Journal on Audio, Speech, and Music Processing.

Datasets 89

Datasets Metadata Algorithm Architecture 89

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

Cloudera

MARCH 14, 2023

In our previous DataFlow Designer blog post , we introduced you to the new user interface and highlighted its key capabilities. In this blog post we will put these capabilities in context and dive deeper into how the built-in, end-to-end data flow life cycle enables self-service data pipeline development.

Data Pipeline 80

Data Pipeline Designing Kafka Metadata 80

Data Engineering Podcast

JUNE 19, 2022

Summary Metadata is the lifeblood of your data platform, providing information about what is happening in your systems. In order to level up their value a new trend of active metadata is being implemented, allowing use cases like keeping BI reports up to date, auto-scaling your warehouses, and automated data governance.

Metadata 130

Metadata MongoDB Scala MySQL 130

dbt Developer Hub

OCTOBER 30, 2023

In this blog post, I’ll attempt to provide this guidance by answering these FAQs: What is dbt clone ? Well, the warehouse “cheats” by only copying metadata from the source schema to the target schema; the underlying data remains at rest during this operation. How is it different from deferral? Should I defer or should I clone?

BI 52

BI Datasets Metadata Data Warehouse 52

Netflix Tech

MAY 4, 2023

This blog series will examine the tools, techniques, and strategies we have utilized to achieve this goal. This blog post will provide a detailed analysis of replay traffic testing, a versatile technique we have applied in the preliminary validation phase for multiple migration initiatives.

Utilities 135

Utilities Systems Architecture Coding 135

Lyft Engineering

OCTOBER 3, 2023

Finally, as the subject of this blog post, we can assess data quality via batch compute analytics on our data warehouse, providing a comprehensive albeit slower evaluation compared to the previously mentioned methods. Verity Our solution was to build Verity, our in-house data quality platform.

Big Data 84

Big Data Metadata Data Warehouse Data 84

Cloudera

MARCH 17, 2023

ChatGPT is an excellent resource for gaining high-level insights and building awareness of any technology. Hopefully this blog will give ChatGPT an opportunity to learn and correct itself while counting towards my 2023 contribution to social good. The post Educating ChatGPT on Data Lakehouse appeared first on Cloudera Blog.

Education 60

Education Unstructured Data Data Lake Data Warehouse 60

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

Data Engineering Weekly

MAY 16, 2023

I won’t bore you with the importance of data quality in the blog. Event Routers can add additional metadata to the envelope of the event. If you look at the popular data transformation dbt, the model building lacks in-build one-phase WAP support. Should We Build a New Tool? Why is Data Quality Expensive?

Engineering 110

Engineering Kafka Data Pipeline Data Warehouse 110

Data Engineering Weekly

JULY 2, 2023

Data Engineering Weekly Is Brought to You by RudderStack 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. Similarly, the blog narrates how to use vector searching in Postgres using PGVector.

Data Engineering 52

Data Engineering Data Engineer Engineering Pipeline-centric 52

LinkedIn Engineering

DECEMBER 19, 2023

Figure 3: Generalized rolling upgrade deployment flow Namenode deployment overview The namenode is the central component of HDFS and is responsible for storing the metadata information about files and directories in the HDFS cluster. This metadata includes the namespace, file permissions, and the mapping of data blocks to datanodes.

Big Data 92

Big Data Hadoop Metadata Data 92

Workfall

AUGUST 14, 2023

Two powerful tools that have emerged to simplify the management of data pipelines are DBT (Data Build Tool) and Airflow. In this blog, we will explore the benefits of using DBT and Airflow together and how they make data pipeline management easier than ever before. What is Airflow? Go to [link] and sign in using the airflow username.

Data Pipeline 62

Data Pipeline Raw Data Data Database 62

AltexSoft

FEBRUARY 11, 2023

If you are not familiar with the above-mentioned concepts, we suggest you to follow the links above to learn more about each of them in our blog posts. The daily tasks of a data architect require more of a strategic thinking, while a data engineer’s workload is more about building the software infrastructure, which are technical tasks.

Data Architect 87

Data Architect Certification Generalist Big Data 87