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. fix the code # fix code 7.

Systems 141

Systems Building Java Programming Language 141

Tweag

DECEMBER 21, 2022

Some of that slowness is difficult to avoid—no matter how you slice it, typechecking and optimizing Haskell code takes a lot of work—but nobody would argue that there is not ample room for improvement. Remarkably, these gains come purely from targeted improvements to the mechanism by which GHC emits compiled code. As of version 9.6,

Coding 72

Coding Architecture Programming Designing 72

Knowledge Hut

DECEMBER 28, 2023

Building stable and consistent products need the integration of databases and applications. Source control Tracking and managing changes to software code is done through source control. Data persistence is not an issue because these modifications simply involve modifying the code. Try to avoid too much use of code.

Database 52

Database Banking Coding Technology 52

Cloudera

OCTOBER 19, 2021

This presented challenges for users in building more complex multi-step pipelines that are typical of DE workflows. In the process several key themes emerged: Low/No-code. Writing code is error prone and requires trial and error. By far the biggest barrier for new users is creating custom Airflow DAGs. Long-tail of operators.

Coding 119

Coding Data Engineer Data Engineering Engineering 119

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 78

Management Building Datasets Government 78

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

Data Engineering Podcast

NOVEMBER 30, 2020

However, despite all of the tools and managed distributions of those streaming engines it is still a challenge to build a robust and reliable pipeline for streaming data integration, especially if you need to expose those capabilities to non-engineers. And don’t forget to thank them for their continued support of this show!

Data Integration 100

Data Integration Coding BI Data Engineer 100

Knowledge Hut

MAY 26, 2024

The system is designed to simplify life cycle management, allowing developers to focus on their application code rather than infrastructure maintenance. However, to install Kubernetes on Linux, run the terminal and input the following codes. Installation of Kubernetes You may check how t o Install Kubernetes on Windows.

Metadata 52

Metadata Certification Accessible Accessibility 52

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. As a listener to the Data Engineering Podcast you can get a special discount of 20% off your ticket by using the promo code dataengpod20.

Data Lake 262

Data Lake High Quality Data Data Warehouse Google Cloud 262

Towards Data Science

AUGUST 8, 2023

Pioneering Data Observability: Data, Code, Infrastructure, & AI The four dimensions of data observability: data, code, infrastructure, and ai? Unreliable data doesn’t live in a silo… it’s impacted by all three ingredients of the data ecosystem: data + code + infrastructure. You look at the code.

Coding 72

Coding Data Software Engineering Software Engineer 72

dbt Developer Hub

APRIL 19, 2023

This tutorial aims to solve this by providing the definitive guide to dimensional modeling with dbt. Don’t repeat yourself** : Dimensions can be easily re-used with other fact tables to avoid duplication of effort and code logic. Performing joins between fact and dimension tables are made simple through the use of surrogate keys.

Building 145

Building PostgreSQL BI Database 145

Knowledge Hut

JUNE 4, 2024

Without the passive option, the code in the event handler will always be invoked before the UI thread carries out the scrolling, thereby wrecking the scrolling experience. Unleash your coding potential with our Python Developer Online Course. Modern browsers have a threaded scrolling mechanism for smooth functioning of scroll.

Metadata 52

Metadata Coding Project Python 52

Knowledge Hut

JANUARY 31, 2024

Following the decision to acquire or build in-house, Application Management collaborates with Technical Management to produce and refine the information needed to configure, test, supervise, and enhance IT administrations. Build: This is the stage in which the real application and the operational model are created.

Management 52

Management Certification Government Designing 52

Data Engineering Podcast

OCTOBER 2, 2021

If you need to deal with massive data, at high velocities, in milliseconds, then Aerospike is definitely worth learning about. If you’re a data engineering podcast listener, you get credits worth $3000 on an annual subscription Modern data teams are dealing with a lot of complexity in their data pipelines and analytical code.

Building 100

Building BI Data Architecture Architecture 100

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. Visit dataengineeringpodcast.com/data-council and use code dataengpod20 to register today! Your first 30 days are free!

Data Lake 147

Data Lake High Quality Data Architecture Data Pipeline 147

Knowledge Hut

NOVEMBER 15, 2023

Codes of Conduct: Like compliance and regulatory standards, the code of conduct also introduces certain technicalities that the project must abide by to be of value and fruitfully accepted at large. EEFs may be internal or external to the organization. OPA’s are internal process assets of the organization.

Government 52

Government Electronics Project Portfolio 52

Data Engineering Podcast

MAY 13, 2021

If you want to build a warehouse that gives you both control and flexibility then you might consider building on top of the venerable PostgreSQL project. In this episode Thomas Richter and Joshua Drake share their advice on how to build a production ready data warehouse with Postgres.

PostgreSQL 100

PostgreSQL Data Warehouse Building MySQL 100

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. Gone are the months of complex data wrangling and the constraints of no-code SaaS tools.

Cloud 105

Cloud Building Insurance Data Engineer 105

Knowledge Hut

OCTOBER 26, 2023

It is a good project for you to understand the fundamentals of banking apps and code-sourcing methodologies. You can download the Source Code here. You can download the Source Code here. You can download the Source Code here. You can download the Source Code here. You can download the Source Code here.

Coding 52

Coding Project Programming Language MySQL 52

Data Engineering Podcast

SEPTEMBER 3, 2021

In this episode Lior Gavish, Lior Solomon, and Atul Gupte share their view of what it means to have a data platform, discuss their experiences building them at various companies, and provide advice on how to treat them like a software product. Who are the stakeholders in a data platform? When is a data platform the wrong choice?

Designing 100

Designing Building SQL BI 100

Data Engineering Podcast

NOVEMBER 9, 2020

Summary A data catalog is a critical piece of infrastructure for any organization who wants to build analytics products, whether internal or external. While there are a number of platforms available for building that catalog, many of them are either difficult to deploy and integrate, or expensive to use at scale.

Building 100

Building PostgreSQL BI Metadata 100

Towards Data Science

JUNE 2, 2023

How to improve the code quality of your dbt models with unit tests and TDD All you need to know to start unit testing your dbt SQL models Photo by Christin Hume on Unsplash If you are a data or analytics engineer, you are probably comfortable writing SQL models and testing for data quality with dbt tests. Kent Beck ?

Coding 69

Coding SQL Software Engineering Software Engineer 69

The Pragmatic Engineer

SEPTEMBER 26, 2023

Every day, there’s more code at a tech company, not less. This means more repositories are needed, which are fast enough to build and work with, but which increase fragmentation. However, monorepos result in codebases growing large, so that even checking out the code or updating to the head can be time consuming.

Cloud 253

Cloud Software Engineering Software Engineer Cloud Computing 253

Booking.com Engineering

SEPTEMBER 27, 2022

Introduction: Let me walk you through a real problem solved at Booking.com, which will be a good background to show the original Java code improving, getting smaller and more expressive as it gets more functional. By the end, I hope to stoke your curiosity to learn more, including how FP can help to write cleaner and better code.

Coding 52

Coding Java Algorithm AWS 52

Monte Carlo

AUGUST 9, 2023

Just like DevOps applies CI/CD (Continuous Integration and Continuous Deployment) practices to software development and operations, DataOps uses CI/CD principles and automation in the building, maintaining, and scaling of data products and pipelines. But what, exactly, is a data engineering workflow?

Data Engineer 52

Data Engineer Data Engineering Engineering Data Pipeline 52

Monte Carlo

AUGUST 7, 2023

Prevention: Finally, data observability also provides mechanisms to prevent data issues from happening in the first place, like placing circuit breaking in pipelines and creating visibility around the impact code changes would make on data, among other proactive measures of preventing bad data from entering your pipelines in the first place.

Coding 52

Coding Data Software Engineering Software Engineer 52

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. Visit dataengineeringpodcast.com/data-council and use code dataengpod20 to register today! Your first 30 days are free!

Programming 162

Programming Data Lake High Quality Data Data Pipeline 162

Monte Carlo

AUGUST 30, 2023

dbt (data build tool) is a SQL-based command-line tool that offers native testing features. More specifically, teams use dbt to write transformations as SQL queries, version control the code, and deploy transformations incrementally. In dbt, the built-in schema test `not_null` can be used to build completeness checks.

SQL 52

SQL Datasets Database High Quality Data 52

Netflix Tech

JULY 22, 2024

By Jun He , Natallia Dzenisenka , Praneeth Yenugutala , Yingyi Zhang , and Anjali Norwood TL;DR We are thrilled to announce that the Maestro source code is now open to the public! A workflow definition is defined in a JSON format. Maestro supports dynamic parameters with code injection, which is super useful and powerful.

Machine Learning 102

Machine Learning Coding Data Pipeline Java 102

Towards Data Science

MARCH 9, 2023

Code implementations for ML pipelines: from raw data to predictions Photo by Rodion Kutsaiev on Unsplash Real-life machine learning involves a series of tasks to prepare the data before the magic predictions take place. And that’s it.

Machine Learning 74

Machine Learning Building Datasets Big Data 74

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

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 70

Building Database-centric Database Coding 70

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 173

Retail Utilities Software Engineering Software Engineer 173

ProjectPro

DECEMBER 7, 2021

Features of a Data Pipeline Data Pipeline Architecture How to Build an End-to-End Data Pipeline from Scratch? This process enables quick data analysis and consistent data quality, crucial for generating quality insights through data analytics or building machine learning models. How to Build an End-to-End Data Pipeline from Scratch?

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52

Data Engineering Podcast

JUNE 1, 2020

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. Make sure to use the code AISPRINGBOARD when you enroll. Go to dataengineeringpodcast.com/springboard and apply today!

Data Lake 100

Data Lake Database Building Lambda Architecture 100

Snowflake

NOVEMBER 20, 2023

While such apps are being created at a very fast pace, there are two main challenges: Many modern powerful apps utilize containers to package and use code; however, this typically requires data to be moved from protected environments, increasing data privacy and security risk.

Utilities 97

Utilities Machine Learning Coding AWS 97

Knowledge Hut

JULY 7, 2023

It will help you to explore the most popular databases leveraged by organizations worldwide, write code, build real-world projects with SQL project example , and learn hands-on with cloud labs. The article also includes the SQL projects with source code so that it becomes easier to learn and understand these projects in a better way.

SQL 52

SQL Coding Project Hospitality 52