Seattle Data Guy

NOVEMBER 27, 2023

This is what spurred me to write the article “Should You Use Airflow” because there are plenty of people who don’t enjoy Airflow or… Read more The post Common Pitfalls in Deploying Airflow for Data Teams appeared first on Seattle Data Guy.

Data Pipeline 130

Data Pipeline Data Engineering Data Engineer Data 130

Knowledge Hut

APRIL 16, 2024

One of the leading roles of a Scrum master is to foster the development of a self-managing team. Self-organizing teams can function effectively without the oversight of a manager or other external authority. Team members on a self-organizing team are not told how to get their jobs done.

Building 98

Building Certification Project Management 98

Data Engineering Podcast

AUGUST 6, 2023

RudderStack Profiles takes the SaaS guesswork and SQL grunt work out of building complete customer profiles so you can quickly ship actionable, enriched data to every downstream team. What are the typical motivations for measuring and tracking the ROI for a data team? How should teams think about measuring data team ROI?

Machine Learning 130

Machine Learning SQL Data Data Engineering 130

Data Engineering Podcast

MAY 28, 2023

Summary Building a data team is hard in any circumstance, but at a startup it can be even more challenging. Ghalib Suleiman has been on both sides of this equation and joins the show to share his hard-won wisdom about how to start and grow a data team in the early days of company growth. RudderStack also supports real-time use cases.

Data Lake 162

Data Lake Machine Learning Data Warehouse Education 162

Seattle Data Guy

FEBRUARY 12, 2024

It will make the outputs of these models useless… Read more The post Why Your Team Needs To Implement Data Quality For Your AI Strategy appeared first on Seattle Data Guy. Regardless of how fancy or sophisticated a company’s AI model might be, poor data quality will break it.

Data 130

Data IT Big Data Consulting 130

KDnuggets

DECEMBER 8, 2021

How do you put together a solid data science team when it comes to developing data-driven products? A variety of roles are available to consider, so which ones do you need and which are most crucial?

Building 160

Building Data Science Data IT 160

Knowledge Hut

MAY 2, 2024

In this day it’s very common for companies to shuffle teams and move around people depending on where they are needed or where the company is shorthanded. And one of the major challenges faced is that of effective team building. This creates a communication gap and affects the overall performance of the team.

IT 52

IT Project Building 52

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. Summary Feature engineering is a crucial aspect of the machine learning workflow.

Machine Learning 130

Machine Learning Data Engineering Data Engineer Engineering 130

Knowledge Hut

NOVEMBER 9, 2023

In a Scrum team, the employees do not have the usual title roles such as developer, tester etc. At times the work can get monotonous and the efficiency of the team can reduce. There are many ways in which you can improve the efficiency of your Scrum team. Sprint Capacity – Every team is not similar.

Certification 97

Certification Project Management Process 97

Lyft Engineering

JUNE 8, 2023

and hiring for full-time positions on end-to-end product, science, and engineering teams. We’ve been in Europe for four years, with over 400 team members in the region. Our Czechia teams will be part of a distributed Lyft tech community, with offices in the U.S., Introducing Lyft Engineering: Hello Czechia!

Transportation 101

Transportation Algorithm Machine Learning Engineering 101

DataKitchen

APRIL 11, 2024

The hosted by Christopher Bergh with Gil Benghiat from DataKitchen covered a comprehensive range of topics centered around improving the performance and efficiency of data teams through Agile and DataOps methodologies. The goal is to reduce errors and operational overhead, allowing data teams to focus on delivering value.

Manufacturing 62

Manufacturing High Quality Data Data Pipeline Data 62

Hevo

MARCH 28, 2024

What is a high performing team? This popularity was not just about individual brilliance but resulted from Google’s high-performing Android team. Google followed certain principles for running the Android team with high-performance […] You know how popular Google is now.

Data 52

Data Systems IT 52

LinkedIn Engineering

DECEMBER 19, 2023

Now more than ever, developers are navigating so much change and new opportunity in this new era of Generative AI, so ensuring teams have the systems, processes, metrics and feedback systems to be successful is paramount. This describes how to solve one of the most difficult problems in this space, “How do I choose what to measure?”

Data Schemas 121

Data Schemas Software Engineer Software Engineering Data Pipeline 121

Knowledge Hut

APRIL 17, 2024

Let us see how we could use this boomerang to empower our teams: The strength of every scrum team is based on how well its team members collaborate with each other. The primary responsibility of a Scrum Master / Coach is to build a strong bonding among his / her team members. Because “Positivity” is like a boomerang!

Utilities 52

Utilities Building Management Project 52

Towards Data Science

FEBRUARY 2, 2024

Struggling to articulate the value of your data team? Learn how to calculate your data team’s return with the Data ROI Pyramid. As recently as a year ago, about half of the data leaders I spoke with felt the business value of their team sold itself. In other words, how effectively has the data team enabled your data consumers?

Data 93

Data Aggregated Data Machine Learning Data Mining 93

Data Engineering Podcast

NOVEMBER 13, 2022

Go to dataengineeringpodcast.com/atlan today to learn more about how Atlan’s active metadata platform is helping pioneering data teams like Postman, Plaid, WeWork & Unilever achieve extraordinary things with metadata and escape the chaos. For organizations that have an existing data team, how does the platform augment/simplify their work?

Building 130

Building Metadata MongoDB MySQL 130

Lyft Engineering

APRIL 24, 2024

TLC’s mission is “ to equip Data Science team members with the technical knowledge and skills that are applicable to their work and helpful to their career advancement.” If you are excited to be part of Lyft’s data science team, explore opportunities on our careers page.

Data Science 58

Data Science Building Computer Science Software Engineer 58

Monte Carlo

FEBRUARY 9, 2024

A lot of organizations want to talk about AI, but it’s tough to find teams that are actually leveraging it in a meaningful way. Now the PayNearMe team is working in the same direction as they leverage GenAI to maximize the value of their extensive knowledge base to their customers. “At And the first step for Dustin’s team?

Data 64

Data High Quality Data Architecture Coding 64

ArcGIS

NOVEMBER 14, 2023

from the Geodatabase Team. Here's everything new in ArcGIS Pro 3.2 Schema Reports, 64-bit OIDs, Big Integer fields, new date fields, etc.

Data Management 124

Data Management Management Data 124

Robinhood

FEBRUARY 29, 2024

3417146 The post Robinhood Wallet and Arbitrum Team Up to Expand Access to Layer 2s appeared first on Robinhood Newsroom. Cryptocurrency held through the Robinhood Self-Custody Wallet is not FDIC insured or SIPC protected. Availability may be subject to regulatory approval in certain jurisdictions.

Accessible 114

Accessible Accessibility Insurance Finance 114

Knowledge Hut

APRIL 16, 2024

Incorporating team values, especially in Agile teams, is critical to creating a work culture that is collaborative in the first place. It forms the bigger roof that brings together all team members and fosters unity. What is a high-performing Agile team?

Project 52

Project Building Certification Management 52

Knowledge Hut

APRIL 16, 2024

And with “too late” I mean that it had a huge impact on the project or team. If you read on, you will understand better the importance of employees productivity followed by the outcomes the team gets. First of all, Velocity is not an indicator of performance: It just denotes the delivery rate of a specific team.

IT 52

IT Project Media Management 52

Knowledge Hut

APRIL 16, 2024

Or are your objectives for the staff to bond a bit better, communicate and build team spirit that can create a positive atmosphere at your workplace? Spend time to understand the business outcomes that the solution is trying to achieve and know the key principles for high-performing Agile teams.

Architecture 52

Architecture Education Project Designing 52

Towards Data Science

APRIL 17, 2023

Data teams are more important than ever before — but they need to get closer to the business. Over the past decade, data teams have been simultaneously underwater and riding a wave. For data teams, the bill has come due. Of course, data teams didn’t go rogue. In other words, data teams need to get closer to the business.

Data 97

Data Data Engineering Data Engineer Engineering 97

Towards Data Science

JUNE 8, 2023

We examine which team structures are the best suited for efficiently improving data quality. Some teams view data quality mainly as a technical challenge while others look at it as a business or process problem. Data leaders need to understand how each team and capability fits together. Specialists or generalists?

Data Governance 81

Data Governance Government Generalist Data Engineering 81

Monte Carlo

MARCH 18, 2024

However, in order to realize the potential value of AI, we’ll first have to start thinking critically about how we develop AI applications—and the role data teams play in it. So, now that we’ve taken a 30,000-foot look at some of these ethical concerns, let’s consider the data team’s responsibility in all this.

Building 64

Building Healthcare Data Database 64

Snowflake

AUGUST 7, 2023

Tesorio Co-Founder and CTO Fabio Fleitas thinks so, and his startup’s AI/ML-driven platform aims to give finance teams better control over their cash flow so they can have greater impact on their organizations’ success. Read on to learn about Fleitas’ founder journey and why his team chose to build on Snowflake.

Finance 88

Finance Banking Data Science Technology 88

DareData

APRIL 2, 2024

Why Do You Need an AI Team? So, why would you go through the hassle of building/hiring an AI team? Competitive Advantage: An AI team equipped with technical skills and expertise will enable your business to stay ahead of the AI curve. The Big Catch - It's hard and requires a lead Building an AI team is extremely hard.

Machine Learning 52

Machine Learning Manufacturing Algorithm Retail 52

Knowledge Hut

JANUARY 11, 2024

A sprint is a set period during which the team is expected to finish a specific task. The team reviews their performance and discusses ways to improve the work at the end of each sprint. Implementing the best Agile practices can help leverage your Agile team and make it effective.

Programming 52

Programming Project Certification Utilities 52

Knowledge Hut

MARCH 22, 2024

A well-crafted team charter is one of those. A Team Charter is more than just a document; it’s a highly important blueprint for team success. This guiding framework has always been instrumental in shaping the dynamics of my teams, as it aligns individual efforts with team objectives. What is a Team Charter?

Project 52

Project BI Finance Management 52