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

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

Cloudera

AUGUST 10, 2022

Cloudera has a strong track record of providing a comprehensive solution for stream processing. Cloudera Stream Processing (CSP), powered by Apache Flink and Apache Kafka, provides a complete stream management and stateful processing solution. Cloudera Stream Processing Community Edition.

Process 94

Process Kafka PostgreSQL MySQL 94

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

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 251

Google Cloud Media Cloud Engineering 251

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 107

Cloud Building Insurance Data Engineering 107

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 Healthcare 122

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 97

Building Data Consolidation Data Datasets 97

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

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 231

AWS Google Cloud Cloud Engineering 231

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 Data Pipeline 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 Data Pipeline 147

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 103

Process Coding Python Deep Learning 103

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 Engineering 294

Software Engineering Software Engineer Engineering Media 294

Cloudera

JULY 18, 2022

In this blog we will conclude the implementation of our fraud detection use case and understand how Cloudera Stream Processing makes it simple to create real-time stream processing pipelines that can achieve neck-breaking performance at scale. Flink is a “streaming first” modern distributed system for data processing.

Process 94

Process Kafka Scala SQL 94

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

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

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 Engineering 315

Software Engineering Software Engineer AWS Engineering 315

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

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

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

Jesse Anderson

AUGUST 28, 2024

The biggest and most ideal use of LLMs for data teams, data processing, is only used by 12% of teams and behind an API endpoint for 14%. I think data teams aren’t using LLMs because they may think they don’t have human-generated data, the cost associated with LLMs, or the long response times when processing large amounts of data.

Data 147

Data Consulting Big Data Data Engineering 147

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 the overall lifecycle of a feature, from definition to deployment and maintenance?

Machine Learning 130

Machine Learning Data Engineering Data Engineer Engineering 130

Data Engineering Podcast

FEBRUARY 19, 2023

It's supposed to make building smarter, faster, and more flexible data infrastructures a breeze. By bringing all the layers of the data stack together, TimeXtender helps you build data solutions up to 10 times faster and saves you 70-80% on costs. How does that change based on the type of query/processing engine being used?

IT 147

IT Data Lake Metadata Data Warehouse 147

Data Engineering Podcast

NOVEMBER 19, 2023

Dustin Dorsey and Cameron Cyr co-authored a practical guide to building your dbt project. In this episode they share their hard-won wisdom about how to build and scale your dbt projects. What new lessons did you learn about dbt in the process of writing the book? While it is easy to adopt, there are many potential pitfalls.

Project 147

Project Data Lake High Quality Data SQL 147

Netflix Tech

JULY 22, 2024

A workflow definition is defined in a JSON format. Maestro combines user-supplied fields with those managed by Maestro to form a flexible and powerful orchestration definition. A Maestro workflow definition comprises two main sections: properties and versioned workflow including its metadata.

Machine Learning 103

Machine Learning Coding Data Pipeline Java 103

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 162

Metadata Engineering Building Technology 162

Cloudera

OCTOBER 19, 2021

As we mentioned before, instead of relying on one custom monolithic process, customers can develop modular data transformation steps that are more reusable and easier to debug, which can then be orchestrated with glueing logic at the level of the pipeline. In the process several key themes emerged: Low/No-code. Long-tail of operators.

Coding 121

Coding Data Engineering Data Engineer Engineering 121

Knowledge Hut

JANUARY 11, 2024

Project management involves a series of activities to understand user journeys, pain points, and a lot more to build the vision and create a niche for the organization to sustain and grow. By this definition, it is very evident that an epic is a set of user requirements that can be achieved or completed in either two or more sprints.

Certification 97

Certification Project Programming Management 97

DataKitchen

APRIL 13, 2021

Because it is such a new category, both overly narrow and overly broad definitions of DataOps abound. Process Analytics. DataOps needs a directed graph-based workflow that contains all the data access, integration, model and visualization steps in the data analytic production process. Meta-Orchestration. Continuous Deployment.

Consulting 124

Consulting Machine Learning Data Science Data Pipeline 124

Data Engineering Podcast

MAY 22, 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. What do you see as the closest alternatives?

Machine Learning 130

Machine Learning Data Engineering Data Engineer Cloud 130

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 99

Utilities Machine Learning Coding AWS 99

Christophe Blefari

OCTOBER 9, 2023

Gen AI 🤖 OpenAI’s plan to build the "iPhone of artificial intelligence" — Obviously this is one of the main struggle for OpenAI. Introducing Python and Jinja in Cube — Cube, an open source semantic layer, has released a new writing capabilities in Python with Jinja in the YAML definitions.

Python 130

Python Data Database Java 130

Knowledge Hut

MAY 3, 2024

Following is the authentic one-liner definition. One would find multiple definitions when you search the term Apache Spark. One would find the keywords ‘Fast’ and/or ‘In-memory’ in all the definitions. Cluster Computing: Efficient processing of data on Set of computers (Refer commodity hardware here) or distributed systems.

Hadoop 98

Hadoop Scala Healthcare Big Data 98

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 60

Google Cloud Process Cloud Lambda Architecture 60

Christophe Blefari

FEBRUARY 19, 2024

Modern data stack has been coined by US companies and VCs—mainly Fivetran / dbt Labs—as a word to quickly emphasis a way to build data stack in the cloud related to ELT. Probably because it's not an explicit semantic, definition is relating to the present or recent times as opposed to the remote past.

Data 100

Data Government SQL Technology 100

Tweag

MARCH 8, 2023

How it Works As long as a Tree-sitter grammar is defined for a language, Tree-sitter can parse it and build a concrete syntax tree. These cohere into a declarative definition of how that language should be formatted. As a formatter author, defining a style for a language is just a matter of building up these queries.

Coding 139

Coding Engineering Designing Programming 139