Knowledge Hut

MAY 23, 2024

Most projects go through several stages depending on how large or complex they are. In a complex project, there are several things that can go wrong. These problems in planning or in execution will usually surface only when someone realizes that the progress of the project is slow or the outcomes are different from expectations.

Project 52

Project Management Certification Government 52

Data Engineering Podcast

FEBRUARY 18, 2024

Multiple open source projects and vendors have been working together to make this vision a reality. To start, can you share your definition of what constitutes a "Data Lakehouse"? What are the pain points that are still prevalent in lakehouse architectures as compared to warehouse or vertically integrated systems?

Data Lake 262

Data Lake High Quality Data Data Warehouse Google Cloud 262

Cloudera

NOVEMBER 13, 2024

In today’s heterogeneous data ecosystems, integrating and analyzing data from multiple sources presents several obstacles: data often exists in various formats, with inconsistencies in definitions, structures, and quality standards.

Metadata 90

Metadata Management Data Governance Government 90

Knowledge Hut

MARCH 23, 2023

Project management is vital to the success of any company. It is responsible for keeping all project details organized, prioritized, and on track to meet deadlines and ensure quality. It also has a lot of influence over whether or not a project is completed successfully. What are Project Management Terms?

Project 98

Project Management Systems Process 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

Knowledge Hut

JANUARY 3, 2024

An operating system that allows multiple programmes to run simultaneously on a single processor machine is known as a multiprogramming operating system. Imagine that I/O is a part of the process that is currently running (which, by definition, does not need the CPU to be accomplished). context switching).

Systems 98

Systems Utilities Programming Language Programming 98

Netflix Tech

DECEMBER 19, 2024

Many of these projects are under constant development by dedicated teams with their own business goals and development best practices, such as the system that supports our content decision makers , or the system that ranks which language subtitles are most valuable for a specific piece ofcontent.

Machine Learning 81

Machine Learning Project Data Warehouse Coding 81

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

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." I was sceptical that any system would automatically reject resumes, because I never saw this as a hiring manager.

Software Engineer 333

Software Engineer Software Engineering Engineering Media 333

Knowledge Hut

MAY 6, 2024

Applying systems thinking views a system as a set of interconnected and interdependent components defined by its limits and more than the sum of their parts (subsystems). When one component of a system is altered, the effects frequently spread across the entire system. are the main objectives of systems thinking.

Systems 98

Systems Transportation Certification Healthcare 98

Knowledge Hut

MAY 22, 2024

The operating system is loaded via a bootstrapping procedure, often known as booting. An operating system or other larger program, such as a boot loader, is loaded by this application. After loading the operating system into the main memory and turning on the computer, it is prepared to accept user commands.

Systems 52

Systems Process Programming Portfolio 52

Data Engineering Podcast

SEPTEMBER 11, 2022

Summary Data engineering systems are complex and interconnected with myriad and often opaque chains of dependencies. In this episode he shares the design of the project and how it fits into your development practices. What are the different places in a data system that schema definitions need to be established?

Systems 100

Systems Metadata Building MongoDB 100

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

They called it Office 365, and in 2010, this was a really exciting project to work on. I wrote code for drivers on Windows, and started to put a basic observability system in place. EC2 had no observability system back then: people would spin up EC2 instances but have no idea whether or not they worked.

Software Engineer 310

Software Engineer Software Engineering Architecture Media 310

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 79

SQL Project Kafka Accessibility 79

Snowflake

MARCH 12, 2025

Consumers attention spans are at an all-time low, while competition for sports fan attention remains high as teams seek to secure a piece of the projected $8.12 Technology implementation is "a part of," but not the definition of," its approach. Personalization matters more than ever before. billion market in 2025 (a 21.4%

Media 63

Media Cloud Programming Data Collection 63

Data Engineering Podcast

FEBRUARY 26, 2023

What are the core problems that you were addressing with this project? What are the technical systems that you are relying on to power the different data domains? What is your philosophy on enforcing uniformity in technical systems vs. relying on interface definitions as the unit of consistency?

Building 147

Building Machine Learning Metadata Data Integration 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. Booking.com says a systems migration is the reason for the delay.

Retail 188

Retail Utilities Software Engineer Software Engineering 188

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. Workflow Definitions Below you can see a typical file structure of a sample workflow package written in SparkSQL. ???

Data Pipeline 144

Data Pipeline Scala Metadata Food 144

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. How have the design and goals of the project changed since it was first created? If you've learned something or tried out a project from the show then tell us about it!

Data Lake 147

Data Lake High Quality Data Architecture Machine Learning 147

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 is your overarching design philosophy for the API of the Cube system? What are some of the data modeling steps that are needed in the source systems?

Data Analytics 130

Data Analytics BI Computer Science SQL 130

Data Engineering Podcast

MARCH 3, 2024

What are the skills and systems that need to be in place to effectively execute on an AI program? "AI" What are some of the useful clarifying/scoping questions to address when deciding the path to deployment for different definitions of "AI"? "AI" has grown to be an even more overloaded term than it already was.

Programming 162

Programming Data Lake High Quality Data Machine Learning 162

Engineering at Meta

FEBRUARY 4, 2025

Here we explore initial system designs we considered, an overview of the current architecture, and some important principles Meta takes into account in making data accessible and easy to understand. We also considered caching data logs in an online system capable of supporting a range of indexed per-user queries. What are data logs?

Accessible 80

Accessible Accessibility Raw Data Data Warehouse 80

Precisely

SEPTEMBER 26, 2024

However, achieving success in AI projects isn’t just about deploying advanced algorithms or machine learning models. The real challenge lies in ensuring that the data powering your projects is AI-ready. AI systems require high-quality, well-governed data to avoid missteps.

Project 75

Project Government Data Governance Data Integration 75

The Pragmatic Engineer

NOVEMBER 9, 2023

She asked the Director of Engineering if he could help take a known set of FAFSA application data and use it to artificially augment a much larger set of anonymous data tht her systems had collected over time. The engineering director’s next step?

Software Engineer 271

Software Engineer Software Engineering Engineering Coding 271

Data Engineering Podcast

OCTOBER 8, 2021

Business intelligence tools have provided this capability for years, but they don’t offer a means of exposing those metrics to other systems. 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.

BI 100

BI Business Intelligence SQL Data Warehouse 100

Data Engineering Podcast

MARCH 27, 2022

Privacera is an enterprise grade solution for cloud and hybrid data governance built on top of the robust and battle tested Apache Ranger project. The most important piece of any data project is the data itself, which is why it is critical that your data source is high quality. Can you explain how the Privacera platform is architected?

Data Governance 130

Data Governance Government Cloud Building 130

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. Can you describe what Flyte is and the story behind it?

Machine Learning 130

Machine Learning Data Engineer Data Engineering Cloud 130

Zalando Engineering

MAY 13, 2024

As a design system evolves alongside with the brand it represents, there are often multiple occasions when a need to introduce variations arises. The previous article on this blog gives a wider overview of the Zalando Design System. The previous article on this blog gives a wider overview of the Zalando Design System.

Designing 60

Designing Systems Architecture Coding 60

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 Engineer Data Engineering Engineering 130

Data Engineering Podcast

NOVEMBER 6, 2022

He also describes the considerations involved in bringing behavioral data into your systems, and the ways that he and the rest of the Snowplow team are working to make that an easy addition to your platforms. 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

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

RandomTrees

NOVEMBER 13, 2024

However, AI-assisted editing tools are transforming the systems that are capable of eliminating tough jobs from the editing process. Machine learning algorithms are capable of absorbing a specific editor or director’s editing style and utilizing those principles for new projects, leading to quicker and more consistent edits.

Entertainment 52

Entertainment Media Cloud Cloud Computing 52

Cloudera

MAY 10, 2021

The declarative definition encourages knowledge sharing and configuration parity between environments. “The bottom line is that automation lowers the risk of human error and adds some intelligence to the enterprise system.” Version 2 GitHub project: [link]. Version 3 GitHub project: [link] and [link] .

Cloud 104

Cloud Consulting Data Warehouse Machine Learning 104

Engineering at Meta

OCTOBER 17, 2023

different data types stored in 21 different data systems. The third post will discuss SCARF’s orchestration for safely identifying and deleting unused data types across various data systems. SCARF has had an important impact at Meta. In the last year, it has removed petabytes of unused data across 12.8M

Coding 117

Coding Engineering Portfolio Data Schemas 117

Knowledge Hut

JUNE 9, 2024

Systems engineering is a diverse field of information technology engineering and engineering management that focuses on the design and administration of composite systems throughout their life cycles. Let's explore what is system engineer? They will manage many teams, testing, and product or system development analysis.

Systems 52

Systems Engineering Telecommunication Electronics 52

Cloudera

SEPTEMBER 7, 2022

As I look forward to the next decade of transformation, I see that innovating in open source will accelerate along three dimensions — project, architectural, and system. These are innovations by developers, for developers, and as adoption of OSS projects has grown, innovation at the project level has accelerated sharply.

Big Data Ecosystem 112

Big Data Ecosystem Hadoop Big Data Architecture 112