Cloudera

NOVEMBER 13, 2024

This acquisition delivers access to trusted data so organizations can build reliable AI models and applications by combining data from anywhere in their environment. This guarantees data quality and automates the laborious, manual processes required to maintain data reliability.

Metadata 90

Metadata Management Data Governance Government 90

Knowledge Hut

JANUARY 22, 2024

Examples of tangible entities include cars, buildings, and people. Entity set definitions usually include a name and a description of the entities in the set. They can also be used in transaction processing applications, such as order entry or inventory management.

MongoDB 98

MongoDB Database Data Mining Relational Database 98

LinkedIn Engineering

OCTOBER 19, 2023

Authors: Bingfeng Xia and Xinyu Liu Background At LinkedIn, Apache Beam plays a pivotal role in stream processing infrastructures that process over 4 trillion events daily through more than 3,000 pipelines across multiple production data centers.

Process 119

Process Lambda Architecture Kafka Machine Learning 119

Christophe Blefari

MARCH 1, 2023

In a nutshell the dbt journey starts with sources definition on which you will define models that will transform these sources to something else you'll need in your downstream usage of the data. You can read dbt's official definitions. The documentation, as I said earlier, is top of the notch.

Data Warehouse 278

Data Warehouse SQL Metadata Raw Data 278

Towards Data Science

JANUARY 27, 2025

How to Build a Data Dashboard Prototype with Generative AI A book reading data visualization withVizro-AI This article is a tutorial that shows how to build a data dashboard to visualize book reading data taken from goodreads.com. Its still not complete and can definitely be extended and improved upon.

Building 53

Building Datasets Coding Data 53

The Pragmatic Engineer

JUNE 22, 2023

The press release: “Squarespace announced today it has entered into a definitive asset purchase agreement with Google, whereby Squarespace will acquire the assets associated with the Google Domains business, which will be winding down following a transition period. ” So what’s being sold, exactly?

Google Cloud 286

Google Cloud Media Cloud Engineering 286

Netflix Tech

JANUARY 10, 2024

Future blogs will provide deeper dives into each service, sharing insights and lessons learned from this process. The Netflix video processing pipeline went live with the launch of our streaming service in 2007. The Netflix video processing pipeline went live with the launch of our streaming service in 2007.

Process 95

Process Pipeline-centric Media Metadata 95

Netflix Tech

JANUARY 6, 2025

Part 2: Navigating Ambiguity By: VarunKhaitan With special thanks to my stunning colleagues: Mallika Rao , Esmir Mesic , HugoMarques Building on the foundation laid in Part 1 , where we explored the what behind the challenges of title launch observability at Netflix, this post shifts focus to the how. And how did we arrive at thispoint?

Metadata 87

Metadata Algorithm Systems Building 87

The Pragmatic Engineer

OCTOBER 31, 2023

We are still working on processing the backlog of asynchronous Lambda invocations that accumulated during the event, including invocations from other AWS services (such as SQS and EventBridge). As of 3:37 PM PDT, the backlog was fully processed. Regional Spanner should have had one replica in each of the three buildings in the region.

AWS 272

AWS Google Cloud Cloud Engineering 272

Towards Data Science

APRIL 30, 2024

Balancing correctness, latency, and cost in unbounded data processing Image created by the author. Intro Google Dataflow is a fully managed data processing service that provides serverless unified stream and batch data processing. It is the first choice Google would recommend when dealing with a stream processing workload.

Google Cloud 92

Google Cloud Process Cloud Lambda Architecture 92

Snowflake

OCTOBER 2, 2023

To help customers overcome these challenges, RudderStack and Snowflake recently launched Profiles , a new product that allows every data team to build a customer 360 directly in their Snowflake Data Cloud environment. Now teams can leverage their existing data engineering tools and workflows to build their customer 360.

Cloud 114

Cloud Building Insurance Data Engineering 114

Data Engineering Weekly

JANUARY 15, 2025

The answer lies in unstructured data processing—a field that powers modern artificial intelligence (AI) systems. Unlike neatly organized rows and columns in spreadsheets, unstructured data—such as text, images, videos, and audio—requires advanced processing techniques to derive meaningful insights.

Data Engineering 62

Data Engineering Data Engineer Unstructured Data Engineering 62

The Pragmatic Engineer

APRIL 19, 2023

I still remember being in a meeting where a Very Respected Engineer was explaining how they are building a project, and they said something along the lines of "and, of course, idempotency is non-negotiable." After a while, I started adopting this approach. Otherwise, understand the jargon in simple terms, yourself.

Software Engineer 333

Software Engineer Software Engineering Engineering Media 333

Tweag

JUNE 7, 2023

The availability of deep learning frameworks like PyTorch or JAX has revolutionized array processing, regardless of whether one is working on machine learning tasks or other numerical algorithms. However, writing high-performance array processing code in Haskell is still a non-trivial endeavor.

Process 114

Process Coding Python Deep Learning 114

Knowledge Hut

APRIL 16, 2024

Going for CSM certification training and knowing how to build a self-organizing team as a Scrum master will help you get trained well. Most Agile-Scrum organizations emphasize on building the self-organizing team - why? How Do You Build a Self-Organizing Team as a Scrum Master?

Building 98

Building Certification Project Management 98

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. How much should we worry about data quality?

Building 98

Building Data Consolidation Data Datasets 98

AltexSoft

MAY 12, 2022

Our brains are constantly processing sounds to give us important information about our environment. Audio analysis is a process of transforming, exploring, and interpreting audio signals recorded by digital devices. Source: Audio Singal Processing for Machine Learning. What is audio analysis? Speech recognition.

Machine Learning 122

Machine Learning Building Deep Learning Datasets 122

Snowflake

NOVEMBER 11, 2024

What if you could streamline your efforts while still building an architecture that best fits your business and technology needs? At BUILD 2024, we announced several enhancements and innovations designed to help you build and manage your data architecture on your terms. Here’s a closer look.

Data Architecture 104

Data Architecture Architecture Data Lake Kafka 104

Towards Data Science

MARCH 9, 2023

The Pipeline will manipulate the numerical and categorical features in the pre-processing stage before applying a Random Forest Regressor to generate price predictions for the listings. When working with pipelines the feature manipulation process becomes more fluid and organized as this simple, but operationally dense, code below shows.

Machine Learning 98

Machine Learning Building Datasets Big Data 98

The Pragmatic Engineer

MAY 25, 2023

Glassdoor could make the process a lot clearer by publishing a moderation log which details when and why it removed a review. Such a log would build confidence that Glassdoor is a neutral platform which is only enforcing its own terms and conditions, and could validate this. Remember which company has what type of incentives.

Software Engineer 342

Software Engineer Software Engineering AWS Engineering 342

ProjectPro

FEBRUARY 16, 2023

Whether you’re looking to track objects in a video stream, build a face recognition system, or edit images creatively, OpenCV Python implementation is the go-to choice for the job. At the core of such applications lies the science of machine learning, image processing, computer vision, and deep learning. What is OpenCV Python?

Python 98

Python Process Deep Learning Algorithm 98

Monte Carlo

NOVEMBER 26, 2024

Process > Tooling (Barr) 3. Process > Tooling (Barr) A new tool is only as good as the process that supports it. And if Twitter has taught us anything, Sam Altman definitely has a lot to say.) We’re seeing teams build out vector databases or embedding models at scale. 2025 data engineering trends incoming.

Data Engineering 105

Data Engineering Data Engineer Engineering Unstructured Data 105

Engineering at Meta

FEBRUARY 4, 2025

In this context, an individual data log entry is a formatted version of a single row of data from Hive that has been processed to make the underlying data transparent and easy to understand. Once the batch has been queued for processing, we copy the list of user IDs who have made requests in that batch into a new Hive table.

Accessible 80

Accessible Accessibility Raw Data Data Warehouse 80

Netflix Tech

FEBRUARY 14, 2025

It requires a state-of-the-art system that can track and process these impressions while maintaining a detailed history of each profiles exposure. In this multi-part blog series, we take you behind the scenes of our system that processes billions of impressions daily. Impressions onhomepage Why do we need impression history?

Kafka 66

Kafka Datasets Metadata Utilities 66

Data Engineering Podcast

SEPTEMBER 11, 2022

Ananth Packildurai created Schemata as a way to make the creation of schema contracts a lightweight process, allowing the dependency chains to be constructed and evolved iteratively and integrating validation of changes into standard delivery systems. Can you describe what Schemata is and the story behind it?

Systems 100

Systems Metadata Building MongoDB 100

Cloudera

AUGUST 16, 2021

Apache Nifi is a powerful tool to build data movement pipelines using a visual flow designer. Downscaling is even more involved because users have to make sure that the NiFi node they want to decommission has processed all its data and does not receive any new data to avoid potential data loss. and later).

Cloud 122

Cloud Unstructured Data Utilities Metadata 122

Ascend.io

NOVEMBER 14, 2024

But when data processes fail to match the increased demand for insights, organizations face bottlenecks and missed opportunities. By focusing on these attributes, data engineers can build pipelines that not only meet current demands but are also prepared for future challenges.

Data Pipeline 52

Data Pipeline Amazon Web Services Data Integration Data 52

Precisely

OCTOBER 31, 2024

While data products may have different definitions in different organizations, in general it is seen as data entity that contains data and metadata that has been curated for a specific business purpose. Foster a data-centric culture : Success in either architecture requires a cultural shift towards valuing and utilizing data.

Data Architecture 69

Data Architecture Architecture Metadata Government 69

Data Engineering Podcast

MARCH 3, 2024

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Dagster offers a new approach to building and running data platforms and data pipelines. Who needs to be involved in the process of defining and developing that program? Go to dataengineeringpodcast.com/dagster today to get started.

Programming 162

Programming Data Lake High Quality Data Machine Learning 162

Data Engineering Podcast

MARCH 10, 2024

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Dagster offers a new approach to building and running data platforms and data pipelines. How does the inclusion of Nessie in a data lake influence the overall workflow of developing/deploying/evolving processing flows?

Data Lake 147

Data Lake High Quality Data Architecture Machine Learning 147

Data Engineering Weekly

FEBRUARY 18, 2025

Fluss is a compelling new project in the realm of real-time data processing. Jark is a key figure in the Apache Flink community, known for his work in building Flink SQL from the ground up and creating Flink CDC and Fluss. It works with streaming processing like Flink and Lakehouse formats like Iceberg and Paimon.

Kafka 73

Kafka Lambda Architecture SQL Architecture 73

Netflix Tech

DECEMBER 3, 2022

This is one way to build trust with our internal user base. Obviously not all tools are made with the same use case in mind, so we are planning to add more code samples for other (than classical batch ETL) data processing purposes, e.g. Machine Learning model building and scoring. backfill.sch.yaml ??? daily.sch.yaml ???

Data Pipeline 144

Data Pipeline Scala Metadata Food 144

The Pragmatic Engineer

AUGUST 3, 2023

Now after 7 years, Google has announced it will retire Firebase Dynamic Links, but with no definite successor lined up. ” Because of how useful this product is, especially for app developers building on top of it, this announcement came as a surprise. We will announce more information in Q3 2023.”

Metadata 173

Metadata Engineering Building Technology 173

Snowflake

NOVEMBER 20, 2023

Addressing the challenges of data-intensive apps Using the combined capabilities of Snowflake Native Apps and Snowpark Container Services, you can build sophisticated apps and deploy them to a customer’s account. All these platform functionalities allow for providers to build trust with their consumers when running inside Snowflake.

Utilities 110

Utilities Machine Learning Coding AWS 110

Towards Data Science

JULY 13, 2023

Building a maintainable and modular LLM application stack with Hamilton in 13 minutes LLM Applications are dataflows, use a tool specifically designed to express them LLM stacks. Hamilton is great for describing any type of dataflow , which is exactly what you’re doing when building an LLM powered application. Image from pixabay.

Building 97

Building Database-centric Database Coding 97

Christophe Blefari

JANUARY 20, 2024

Every company out there has his own definition for the data engineer role. The idea behind is to solve data problem by building software. What is data engineering As I said it before data engineering is still a young discipline with many different definitions. batch — Batch processing is at the core of data engineering.

Data Engineering 130

Data Engineering Data Engineer Engineering Hadoop 130

François Nguyen

FEBRUARY 14, 2021

They also have this great schema : The legend was very small so I did some coloring on it The focus is really on capabilities (cultural, technical, process and monitoring). You have here an example of capability (for product & process excellence). ” Devops has always be closed to Agile.

AWS 130

AWS Programming Process Building 130