Knowledge Hut

NOVEMBER 20, 2023

The DevOps lifecycle phases are in order from left to right, with each phase building upon the last. It is about automating the process of building, testing, deploying, and maintaining applications to reduce time-to-market for new features and functionality. Operate - This version is now convenient for users to utilize.

Utilities 97

Utilities Programming Coding Designing 97

Knowledge Hut

FEBRUARY 1, 2024

Today, we’ll talk about how Machine Learning (ML) can be used to build a movie recommendation system - from researching data sets & understanding user preferences all the way through training models & deploying them in applications. How to Build a Movie Recommendation System in Python?

Systems 98

Systems Entertainment Algorithm Datasets 98

Tweag

JULY 5, 2023

Buck2 is a from-scratch rewrite of Buck , a polyglot, monorepo build system that was developed and used at Meta (Facebook), and shares a few similarities with Bazel. As you may know, the Scalable Builds Group at Tweag has a strong interest in such scalable build systems. invoke build buck2 build //starlark-rust/starlark 6.

Systems 141

Systems Building Java Programming Language 141

Data Engineering Podcast

FEBRUARY 18, 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. To start, can you share your definition of what constitutes a "Data Lakehouse"? Your first 30 days are free!

Data Lake 262

Data Lake High Quality Data Data Warehouse Google Cloud 262

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

dbt Developer Hub

APRIL 19, 2023

This tutorial aims to solve this by providing the definitive guide to dimensional modeling with dbt. We can then build the OBT by running dbt run. Despite its popularity, resources on how to create dimensional models using dbt remain scarce and lack detail.

Building 145

Building PostgreSQL BI Database 145

Data Engineering Podcast

MARCH 27, 2022

In this episode Balaji Ganesan shares how his experiences building and maintaining Ranger in previous roles helped him understand the needs of organizations and engineers as they define and evolve their data governance policies and practices. Can you describe what Privacera is and the story behind it?

Data Governance 130

Data Governance Government Cloud Building 130

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. You can read my What is a metrics store to help you understand.

Data Warehouse 278

Data Warehouse SQL Metadata Raw Data 278

Snowflake

DECEMBER 18, 2023

We’re excited to announce today that Snowflake has entered into a definitive agreement to acquire Samooha to accelerate our vision for removing the technical, collaboration, and financial barriers to unlocking value with data clean rooms. Samooha is built for developers and business users and delivers industry specific analysis templates.

Cloud 120

Cloud Building Entertainment Government 120

The Pragmatic Engineer

SEPTEMBER 26, 2023

This means more repositories are needed, which are fast enough to build and work with, but which increase fragmentation. Executing a build is much slower while on a call. Plus, a CPU and memory-intensive build can impact the quality of the video call, and make the local environment much less responsive.  Larger codebases.

Cloud 258

Cloud Software Engineer Software Engineering Cloud Computing 258

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

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 108

Cloud Building Insurance Data Engineering 108

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

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

The Pragmatic Engineer

OCTOBER 10, 2023

He’s solved interesting engineering challenges along the way, too – like building observability for Amazon’s EC2 offering, and being one of the first engineers on Uber’s observability platform. The focus seemed to shift to: invent something new → build a service for it → ship it.

Software Engineer 268

Software Engineer Software Engineering Architecture Media 268

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. Go to dataengineeringpodcast.com/dagster today to get started. Your first 30 days are free! Data lakes are notoriously complex.

Data Lake 147

Data Lake High Quality Data Architecture Data Pipeline 147

AltexSoft

MAY 12, 2022

Commercial audio sets for machine learning are definitely more reliable in terms of data integrity than free ones. Building an app for snore and teeth grinding detection. AltexSoft & SleepScore Labs: Building an iOS App for Snoring and Teeth Grinding Detection. Commercial datasets.

Machine Learning 122

Machine Learning Building Deep Learning Healthcare 122

Data Engineering Podcast

SEPTEMBER 11, 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.

Systems 100

Systems Metadata Building MongoDB 100

The Pragmatic Engineer

AUGUST 10, 2023

Ayhan visualized this data and observed a definite fall in all metrics: page views, visits, questions asked, votes. Q&A activity is definitely down: the company is aware of this metric taking a dive, and said they’re actively working to address it. When it comes to GenAI, Stack Overflow for Teams is getting a lot more love.

Retail 176

Retail Utilities Software Engineer Software Engineering 176

Snowflake

OCTOBER 7, 2024

When scaling data science and ML workloads, organizations frequently encounter challenges in building large, robust production ML pipelines. Define an Entity: Define a Feature View: feature_df is a Snowpark DataFrame object containing your feature definition.

Management 82

Management Building Datasets Government 82

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. What are some of the useful clarifying/scoping questions to address when deciding the path to deployment for different definitions of "AI"?

Programming 162

Programming Data Lake High Quality Data Data Pipeline 162

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 295

Software Engineer Software Engineering Engineering Media 295

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. Who are the data engineers? Is it really modern?

Data Engineering 130

Data Engineering Data Engineer Engineering Hadoop 130

Cloudera

AUGUST 16, 2021

Apache Nifi is a powerful tool to build data movement pipelines using a visual flow designer. Ultimately these challenges force NiFi teams to spend a lot of time on managing the cluster infrastructure instead of building new data flows which slows down use case adoption. The need for a cloud-native Apache NiFi service. and later).

Cloud 122

Cloud Unstructured Data Utilities Metadata 122

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 163

Metadata Engineering Building Technology 163

The Pragmatic Engineer

OCTOBER 31, 2023

  I asked Google if europe-west9-a and europe-west9-c are in the same building, at least partially. The outage had a regional impact as this regional Spanner was not configured correctly across the three buildings in the region for it to maintain its quorum. The company responded, but failed to answer the question.

AWS 232

AWS Google Cloud Cloud Engineering 232

Data Engineering Podcast

DECEMBER 21, 2021

Summary One of the perennial challenges of data analytics is having a consistent set of definitions, along with a flexible and performant API endpoint for querying them. a framework for building analytics APIs to power your applications and BI dashboards Interview Introduction How did you get involved in the area of data management?

Data Analytics 130

Data Analytics BI Computer Science SQL 130

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

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. We feel your pain. It ends up being anything but that. We feel your pain.

IT 147

IT Data Lake Metadata Data Warehouse 147

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

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 104

Machine Learning Coding Data Pipeline Java 104

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

Cloudera

OCTOBER 19, 2021

This presented challenges for users in building more complex multi-step pipelines that are typical of DE workflows. Multiple steps comprise the overall pipeline, which are stored as pipeline definition files in the CDE resource of the job. Stay tuned for more developments in the coming months and until then happy pipeline building!

Coding 123

Coding Data Engineering Data Engineer Engineering 123

François Nguyen

JANUARY 29, 2021

The agile part of DataOps In this previous article, we have defined dataops as a”combination of tools and methods inspired by Agile, Devops and Lean Manufacturing » (thanks to DataKitchen for this definition). Sometimes you will have to build referentials because the data is too granular. This is where Agile comes in.

Manufacturing 130

Manufacturing Data Analysis Data Building 130