Knowledge Hut

FEBRUARY 1, 2024

Building a movie recommendation system in Python can be an exciting & dynamic project to undertake. But a considerable challenge of collaborative filtering is to overcome new user (cold start) & sparsity problems that arise from a lack of user ratings. How to Build a Movie Recommendation System in Python?

Systems 98

Systems Entertainment Algorithm Datasets 98

Knowledge Hut

DECEMBER 22, 2023

For this feature, Python encloses certain code editors and python IDEs used for software development say, Python itself. This article looks at the top python IDEs and code editors along with their features, pros, and cons and discusses the best suited for writing Python codes. What is a Code Editor?

Python 97

Python Coding Programming Language Data Science 97

Knowledge Hut

JUNE 26, 2023

Having knowledge of real-world software applications or projects are very essential for any projects for backend developers aspiring software engineers or developers. The portfolio projects showcase their talents and skills whenever they try to look for new opportunities and jobs. What are Backend Development Projects?

Portfolio 98

Portfolio Project Food Media 98

Knowledge Hut

OCTOBER 23, 2023

Both the project leader and project manager roles are crucial to a project's success if project management is your area of interest as a career. Research and introspection are required to comprehend and decide which role is best for you, especially if you are interested in pursuing a career in project management.

Project 98

Project Management Generalist Algorithm 98

Data Engineering Podcast

MARCH 10, 2024

The primary purpose of the catalog is to inform the query engine of what data exists and where, but the Nessie project aims to go beyond that simple utility. As a listener to the Data Engineering Podcast you can get a special discount off regular priced and late bird tickets by using the promo code dataengpod20.

Data Lake 147

Data Lake High Quality Data Architecture Data Pipeline 147

Knowledge Hut

MAY 31, 2023

From cutting-edge research to real-world applications, here we will investigate the most executed artificial intelligence projects. In this article, we will talk about artificial intelligence topics for the project. What are Artificial Intelligence Projects? This can be one of the artificial intelligence topics for the project.

Project 96

Project Healthcare Deep Learning Transportation 96

The Pragmatic Engineer

OCTOBER 10, 2023

However, Martin had not written a line of production code for the last four years, as he’s taken on the role of CEO, and heads up observability scaleup Chronosphere – at more than 250 people and growing. From learning to code in Australia, to working in Silicon Valley How did I learn to code?

Software Engineer 268

Software Engineer Software Engineering Architecture Media 268

Netflix Tech

DECEMBER 3, 2022

project Manage a Dataflow project. The most commonly used one is dataflow project , which helps folks in managing their data pipeline repositories through creation, testing, deployment and few other activities. " , country_code STRING COMMENT "Country code of the playback session."

Data Pipeline 144

Data Pipeline Scala Metadata Food 144

The Pragmatic Engineer

NOVEMBER 9, 2023

What would you do if you learned your company is up to something illegal like stealing customer funds, or you’re asked to make code changes that will enable something illegal to happen, like misleading investors, or defrauding customers? Sign up to The Pragmatic Engineer to get articles like this earlier in your inbox.

Software Engineer 227

Software Engineer Software Engineering Engineering Coding 227

Data Engineering Podcast

MARCH 3, 2024

As a listener to the Data Engineering Podcast you can get a special discount off regular priced and late bird tickets by using the promo code dataengpod20. Visit dataengineeringpodcast.com/data-council and use code dataengpod20 to register today! Promo Code: dataengpod20 Starburst : ![Starburst

Programming 162

Programming Data Lake High Quality Data Data Pipeline 162

Jesse Anderson

AUGUST 28, 2024

Those using LLMs primarily do so for code generation, ideation or copy creation, and code debugging. Data Teams The fundamental thesis of Data Teams is that companies need data science, engineering, and operations to be successful in their data projects. Figure 6 - How successful do you think your big data projects are?

Data 147

Data Consulting Big Data Data Engineering 147

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.

Retail 176

Retail Utilities Software Engineer Software Engineering 176

Cloudera

MAY 1, 2023

Businesses everywhere have engaged in modernization projects with the goal of making their data and application infrastructure more nimble and dynamic. and in the Community Edition ), we have redesigned the workflow from the ground up, organizing all resources into Projects. What is a Project in SSB?

SQL 84

SQL Project Kafka Accessible 84

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. What are the utilities that you and the community have built to reduce friction while writing the definitions of a cube?

Data Analytics 130

Data Analytics BI Computer Science SQL 130

Engineering at Meta

OCTOBER 17, 2023

Systematic Code and Asset Removal Framework (SCARF) is Meta’s unused code and data deletion framework. So, how did we efficiently and safely remove all of the code and data related to Moments without adversely affecting Meta’s other products and services? For example, some tables might be shared between products.

Coding 122

Coding Engineering Portfolio Data Schemas 122

Data Engineering Podcast

OCTOBER 8, 2021

Metriql is an open source project that provides a headless BI system where you can define your metrics and share them with all of your other processes. What was your motivation to create and open-source Metriql as an independent project outside of your business? How are you approaching governance and sustainability of the project?

BI 100

BI Business Intelligence SQL Data Warehouse 100

Data Engineering Podcast

MAY 22, 2022

Flyte is a project that was started at Lyft to address their internal needs for machine learning and integrated closely with Kubernetes as the execution manager. Machine learning use cases have been a core focus since the project’s inception. Beyond code reuse, how can teams scale usage of Flyte at the company/organization level?

Machine Learning 130

Machine Learning Data Engineering Data Engineer Cloud 130

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! Your support and feedback are invaluable as we continue to improve the Maestro project. A workflow definition is defined in a JSON format.

Machine Learning 104

Machine Learning Coding Data Pipeline Java 104

Tweag

MARCH 8, 2023

Users benefit from uniform, comparable code style, across multiple languages, with the convenience of a single formatter tool. In this first release, we have concentrated on formatting OCaml code, capitalising on the OCaml expertise within the Topiary Team and our colleague, Nicolas Jeannerod. Expect idempotency. Prettier ).

Coding 139

Coding Engineering Designing Programming 139

Tweag

JULY 5, 2023

fix the code # fix code 7. fix the code # fix code 7. fix the code # fix code 7. fix the code # fix code 7. The output paths take the form buck-out/v2/gen/PROJECT/HASH/some/file , where HASH is the configuration hash. Bazel recording steps: 1. cd into Bazel source tree 2.

Systems 141

Systems Building Java Programming Language 141

Tweag

MAY 16, 2023

The manifest of a web app, the configuration of an Apache virtual host, an Infrastructure-as-Code (IaC) cloud deployment (Terraform, Kubernetes, etc.). A REPL nickel repl , a markdown documentation generator nickel doc and a nickel query command to retrieve metadata, types and contracts from code.

MySQL 134

MySQL Metadata Data Validation Coding 134

Christophe Blefari

DECEMBER 19, 2022

Previously for a team it was $50/month/dev and they increase to $100/month/dev, a 100% increase with a team limit of 8 devs and only one project. These 2 functions are called macros because they use Jinja, a Python templating engine, in dbt macros transform Python+SQL code in SQL, we can say that we have templated queries.

Management 130

Management Pipeline-centric Database-centric SQL 130

Knowledge Hut

FEBRUARY 6, 2024

Also, to bring continuous deployment into your organization's workflow, creating and deploying code faster than ever before becomes easier. In addition, it will provide stability to your engineering team, and without a strong pipeline, your code is likely to break. DevOps is about agility, rapid feedback loops, and release cycles.

Building 52

Building AWS Coding Certification 52

Christophe Blefari

JULY 8, 2023

As a reminder a semantic layer is a definition on top of your models meant to be reusable. This is important to notice that the semantic layer is something that sits on top of you current dbt models definitions. Under the hood it's "BI-as-code", YAML defining this dashboard can be found on Github.

Kafka 130

Kafka PostgreSQL Data Transportation 130

Data Engineering Podcast

NOVEMBER 14, 2021

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.

Data Warehouse 100

Data Warehouse BI Data Workflow Data 100

DataKitchen

APRIL 13, 2021

Because it is such a new category, both overly narrow and overly broad definitions of DataOps abound. Pipeline tests are applied to data (instead of code) and at batch time (instead of compiling or deploy time). . DataKitchen — a DataOps Platform that supports the deployment of all data analytics code and configuration.

Consulting 124

Consulting Machine Learning Data Science Data Pipeline 124

Scott Logic

JULY 9, 2024

It seems barely a month goes by without a new supply chain attack making the headlines, and malicious code in dependency packages from package registries such as NPM is a common method. Granted, with JavaScript being an interpreted language we can still view the code in the published package, but it’s not as prominent or easy to analyse.

Manufacturing 96

Manufacturing Food Coding Project 96

Christophe Blefari

FEBRUARY 19, 2024

Probably because it's not an explicit semantic, definition is relating to the present or recent times as opposed to the remote past. In this definition there are 2 issues. Data projects are still failing to go in production. The time came and everyone took their place at the table to eat a slice of cake.

Data 100

Data Government SQL Technology 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 68

Coding SQL Software Engineer Software Engineering 68

Knowledge Hut

DECEMBER 26, 2023

From the definition as per the official website , PyTorch is an open-source machine learning framework that accelerates the path from research prototyping to production deployment. As per the definition from the official website , TensorFlow is an end-to-end open-source platform for machine learning. What is PyTorch ?

Deep Learning 98

Deep Learning Python Machine Learning Programming Language 98

DareData

SEPTEMBER 14, 2024

Use these tips to maximize the success of your data science project Managing large-scale data science and machine learning projects is challenging because they differ significantly from software engineering. This blog post was born after my experience managing large-scale data science projects with DareData.

Data Science 52

Data Science Project Management Machine Learning 52

Netflix Tech

FEBRUARY 9, 2022

any business logic code in a raw (e.g. Or what if Alice wanted to add new backup functionality and she accidentally broke existing code while updating it? The important thing is that this business logic can be built in a separate repository and maintained independently from the workflow definition. SQL) or compiled (e.g.

Data Pipeline 85

Data Pipeline Management Scala Python 85

Data Engineering Podcast

JANUARY 7, 2022

In this episode Metaplane founder Kevin Hu shares his working definition of the term and explains the work that he and his team are doing to cut down on the time to adoption for this new set of practices. Today’s episode is Sponsored by Prophecy.io – the low-code data engineering platform for the cloud. How does it work?

BI 100

BI Data Warehouse Metadata SQL 100

Data Engineering Podcast

DECEMBER 28, 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.

Data Lake 130

Data Lake Data Warehouse Data Pipeline MongoDB 130

Christophe Blefari

SEPTEMBER 1, 2023

I spent a few hours working on the fancy data stack project and articles are in the works, but it was idealistic to produce quality code and content while enjoying the summer. Do you want to test data or code changes? Still the big winner of this is Microsoft, because Python code will run on Azure. He covers everything.

Food 130

Food Data SQL Python 130

Christophe Blefari

MARCH 17, 2023

With recursive CTEs he implemented sklearn linear model and the code is not even that big. Sharing data between dbt projects, dbt exposures to sources — When you have multiple dbt projects it can be a mess to reference a model from another project. At the moment only part 1 and 2 are written but it looks promising.

Data 130

Data SQL Deep Learning Kafka 130

Data Engineering Podcast

APRIL 12, 2021

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. small teams, large orgs, etc.)

Data Warehouse 100

Data Warehouse Data Pipeline BI Data Engineering 100