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

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

Engineering at Meta

DECEMBER 19, 2024

For example: Code navigation (Go to definition) in an IDE or a code browser; Code search; Automatically-generated documentation; Code analysis tools, such as dead code detection or linting. A code indexing systems job is to efficiently answer the questions your tools need to ask, such as, Where is the definition of MyClass ?

Coding 77

Coding Programming Language SQL Programming 77

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. For example, a table in a database is a tangible entity because it is an actual object that can be viewed and interacted with.

MongoDB 98

MongoDB Database Data Mining Relational Database 98

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

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

Precisely

JANUARY 9, 2025

But those end users werent always clear on which data they should use for which reports, as the data definitions were often unclear or conflicting. Data integration best practices are required to build and train the LLM or SLM with the necessary information and context. The myriad prompt-based GenAI tools are the new BI and Search.

Data Integration 119

Data Integration Hadoop Data Warehouse Data Lake 119

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

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

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

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 297

Cloud Software Engineer Software Engineering Cloud Computing 297

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 130

Cloud Building Entertainment Government 130

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

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

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 310

Software Engineer Software Engineering Architecture Media 310

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.

Metadata 87

Metadata Algorithm Systems Building 87

Towards Data Science

JANUARY 30, 2025

Building more efficient AI TLDR : Data-centric AI can create more efficient and accurate models. Key findings across multipleruns: Furthest-from-centroid consistently outperformed othermethods There definitely is a sweet spot between compute time and and model accuracy if you want to find it for your use case. Image byauthor.

Database-centric 106

Database-centric Datasets Data Architecture 106

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. Additionally, multiple copies of the same data locked in proprietary systems contribute to version control issues, redundancies, staleness, and management headaches.

Metadata 90

Metadata Management Data Governance Government 90

Snowflake

APRIL 2, 2025

The data warehouse solved for performance and scale but, much like the databases that preceded it, relied on proprietary formats to build vertically integrated systems. Tune into our webinar Data Engineering Connect: Building Pipelines for Open Lakehouse on April 29, featuring two virtual demos and a hands-on lab.

Data Lake 78

Data Lake Cloud Storage Metadata Data Warehouse 78

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 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 92

Management Building Datasets Government 92

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

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 188

Retail Utilities Software Engineer Software Engineering 188

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

Towards Data Science

MARCH 9, 2023

Thus, to facilitate our job it is possible to consolidate all the datasets into a single dataframe and create the “ city ” and “ weekday_or_weekend ” features, which definitely will be essential features to the model. Determinants of Airbnb prices in European cities: A spatial econometrics approach (Supplementary Material) [Data set].

Machine Learning 98

Machine Learning Building Datasets Big Data 98

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

DataKitchen

FEBRUARY 20, 2025

It assesses your data, deploys production testing, monitors progress, and helps you build a constituency within your company for lasting change. Enhanced Testing & Profiling Copy & Move Tests with Ease The Test Definitions page now supports seamless test migration between test suites.

Datasets 73

Datasets Metadata Data Government 73

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 272

AWS Google Cloud Cloud Engineering 272

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

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

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 Machine Learning 147

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

Data Engineering Weekly

JANUARY 15, 2025

The AI Data Engineer: A Role Definition AI Data Engineers play a pivotal role in bridging the gap between traditional data engineering and the specialized needs of AI workflows. Beyond technical tasks, AI Data Engineers uphold ethical standards and privacy requirements, making their contributions vital to building trustworthy AI systems.

Data Engineering 62

Data Engineering Data Engineer Unstructured Data Engineering 62