Knowledge Hut

APRIL 16, 2024

Over the years I have found that my most popular blog posts are those that speak to entry-level project managers. Project management is a vast practice area and for somebody who has only recently started managing projects , it can seem overwhelming. That is true for all projects irrespective of the type of methodology they use.

Project 97

Project Management Certification Process 97

Knowledge Hut

NOVEMBER 20, 2023

In this step, they design a project plan to optimize business impact and produce the intended result. So, whichever continuous integration solutions you choose, make sure they are compatible with your company's and project's needs. Let's take a quick look at how the DevOps lifecycle functions at each step.

Utilities 97

Utilities Programming Coding Designing 97

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

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

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 Utilities 98

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"? If you've learned something or tried out a project from the show then tell us about it!

Data Lake 262

Data Lake High Quality Data Data Warehouse Google Cloud 262

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

Towards Data Science

MARCH 5, 2024

It is only possible to limit the bytes billed for each day per user per project or for all bytes billed combined per day for a project. When you start using BigQuery for the first projects, you will most likely stick with the on-demand compute pricing model. GB / 1024 = 0.0056 TB * $8.13 = $0.05 in europe-west3. in europe-west3.

Bytes 67

Bytes Google Cloud Cloud Storage Utilities 67

Knowledge Hut

MARCH 7, 2024

According to current project management trends, things are about to change in that industry. These trends show a significant amount of growth and are a response to the hassles and headaches we experience in our projects day after day. But successful projects will become the norm once people learn to work with the trends.

Project 76

Project Management Big Data Food 76

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

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

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

Jesse Anderson

AUGUST 28, 2024

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 4 - Does the company definition of a team match the book’s definition? Figure 4 - Does the company definition of a team match the book’s definition?

Data 147

Data Consulting Big Data Data Engineering 147

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 Data Pipeline 147

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. Tackling these challenges head-on is critical to ensuring AI projects are built on a solid foundation.

Project 75

Project Government Data Governance Data Integration 75

Waitingforcode

FEBRUARY 3, 2023

We all have our habits and as programmers, libraries and frameworks are definitely a part of the group. In this blog post I'll share with you a list of Java and Scala classes I use almost every time in data engineering projects. The part for Python will follow next week!

Java 130

Java Scala Data Engineering Data Engineer 130

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

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

FEBRUARY 19, 2023

Projects like Apache Iceberg provide a viable alternative in the form of data lakehouses that provide the scalability and flexibility of data lakes, combined with the ease of use and performance of data warehouses. What are the notable changes in the Iceberg project and its role in the ecosystem since our last conversation October of 2018?

IT 147

IT Data Lake Metadata Data Warehouse 147

Jesse Anderson

MARCH 6, 2023

Data Teams The fundamental thesis of Data Teams is that companies need data science, data engineering, and operations to be successful in their data projects. Figure 4 – Does the company definition of a team match the book’s definition? Figure 6 – How successful do you think your big data projects are?

Data Science 130

Data Science Consulting Data Big Data 130

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

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

Data Engineering Podcast

FEBRUARY 26, 2023

What are the core problems that you were addressing with this project? What is your philosophy on enforcing uniformity in technical systems vs. relying on interface definitions as the unit of consistency? If you've learned something or tried out a project from the show then tell us about it!

Building 147

Building Machine Learning Metadata Data Integration 147

Data Engineering Podcast

MARCH 3, 2024

What are some of the useful clarifying/scoping questions to address when deciding the path to deployment for different definitions of "AI"? Organizations can easily fall into the trap of green-lighting an AI project before they have done the work of ensuring they have the necessary data and the ability to process it.

Programming 162

Programming Data Lake High Quality Data Data Pipeline 162

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? Statsbot chart.js

Data Analytics 130

Data Analytics BI Computer Science SQL 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. What are the core primitives that Flyte exposes for building up complex workflows?

Machine Learning 130

Machine Learning Data Engineering Data Engineer Cloud 130

Edureka

AUGUST 1, 2024

Project management is the core that links organizational goals and how they become achievable to a leader. A person who understands the core components, multiple stages, and manifold importance of project management would take a step forward towards facilitating the processes for obtaining the desired outcomes.

Project 52

Project Management Programming Government 52

Knowledge Hut

JANUARY 11, 2024

Project management involves a series of activities to understand user journeys, pain points, and a lot more to build the vision and create a niche for the organization to sustain and grow. By this definition, it is very evident that an epic is a set of user requirements that can be achieved or completed in either two or more sprints.

Certification 97

Certification Project Programming Management 97

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. Email hosts@dataengineeringpodcast.com ) with your story.

Data Governance 130

Data Governance Government Cloud Building 130

Netflix Tech

JULY 22, 2024

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

Machine Learning 104

Machine Learning Coding Data Pipeline Java 104

Data Engineering Podcast

JULY 2, 2023

What is the overall lifecycle of a feature, from definition to deployment and maintenance? If you've learned something or tried out a project from the show then tell us about it! What is the overall lifecycle of a feature, from definition to deployment and maintenance? Who are the participants in that workflow?

Machine Learning 130

Machine Learning Data Engineering Data Engineer Engineering 130

The Pragmatic Engineer

OCTOBER 10, 2023

They called it Office 365, and in 2010, this was a really exciting project to work on. We had the technology ready in the form of the M3 project, which was a massive achievement by itself. But I was definitely the first and only member of the early team to become “non-technical.” We needed $11M to get started.

Software Engineer 268

Software Engineer Software Engineering Architecture Media 268

Knowledge Hut

JANUARY 18, 2024

In my journey as a Scrum Master, I've experienced the profound impact of Backlog Refinement on the success of Agile projects. Through this meticulous process of continuously grooming and prioritizing backlog items, I have seen teams transform their workflow, achieving higher productivity and better alignment with project goals.

Project 98

Project Certification Management Process 98

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. Makefile tricks for Python projects — One of the best data magical trick.

Kafka 130

Kafka PostgreSQL Data Transportation 130

Data Engineering Podcast

MARCH 5, 2023

Can you describe what your working definition of "Data Culture" is? If you've learned something or tried out a project from the show then tell us about it! Can you describe what your working definition of "Data Culture" is? In what ways is a data culture distinct from an organization's corporate culture?

Building 147

Building Database Design Machine Learning Metadata 147