Xebia

OCTOBER 18, 2024

The DuckDB team is actively working on write support, and it’s definitely on their roadmap. Dbt is a popular tool for transforming data in a data warehouse or data lake. It enables data engineers and analysts to write modular SQL transformations, with built-in support for data testing and documentation.

Open Source 162

Open Source AWS Government Technical Review 162

Xebia

MARCH 2, 2025

Deployment isolation: Handling multiple users and environments During the development of a new data pipeline, it is common to make tests to check if all dependencies are working correctly. Above definition means that every time we trigger this job, a new cluster is initialized, which is the recommended approach. x-cpu-ml-scala2.12

Resources 130

Resources Testing Metrics Data Engineering 130

Erik Bernhardsson

JANUARY 27, 2018

I’m interrupting the regular programming for a quick announcement: we’re looking for data engineers at Better. Definitely let me know at erik at better.com! I have fascination for “data” stock photos.). You would be the first one to join and would work a lot directly with me. Sounds interesting?

Data Engineering 100

Data Engineering Engineering Data Programming 100

Erik Bernhardsson

JANUARY 27, 2018

I’m interrupting the regular programming for a quick announcement: we’re looking for data engineers at Better. Definitely let me know at erik at better.com! I have fascination for “data” stock photos.). You would be the first one to join and would work a lot directly with me. Sounds interesting?

Data Engineering 100

Data Engineering Engineering Data Programming 100

Cloudera

SEPTEMBER 17, 2020

With growing disparate data across everything from edge devices to individual lines of business needing to be consolidated, curated, and delivered for downstream consumption, it’s no wonder that data engineering has become the most in-demand role across businesses — growing at an estimated rate of 50% year over year.

Data Engineering 104

Data Engineering Engineering Data Tools 104

Cloudera

OCTOBER 19, 2021

Multiple steps comprise the overall pipeline, which are stored as pipeline definition files in the CDE resource of the job. This intermediate definition can easily be integrated with source code management, such as Git, as needed. Each “box” (step) in on the canvas serves as a task in the final Airflow DAG.

Data Engineering 120

Data Engineering Engineering Data Virtualization 120

CIO

APRIL 2, 2025

AI consulting: A definition AI consulting involves advising on, designing and implementing artificial intelligence solutions. However, the definition of AI consulting goes beyond the purely technical perspective. In this context, collaboration between data engineers, software developers and technical experts is particularly important.

Artificial Inteligence 120

Artificial Inteligence Technical Advisors Artificial Intelligence Automotive 120

Altexsoft

OCTOBER 30, 2021

If you’re an executive who has a hard time understanding the underlying processes of data science and get confused with terminology, keep reading. We will try to answer your questions and explain how two critical data jobs are different and where they overlap. Data science vs data engineering.

Data Engineering 98

Data Engineering Engineering Data Machine Learning 98

TechCrunch

DECEMBER 9, 2020

I also understand that Dataform was well on its way to raising a Series A, so there were definitely other options. Dataform scores $2M to build an ‘operating system’ for data warehouses. Mining data for insights and business intelligence typically requires a team of data engineers and analysts.

Google Cloud 242

Google Cloud Data Operating System Business Intelligence 242

TechCrunch

JUNE 15, 2021

So, by definition, they generally have a really interesting mission or purpose that may be more appealing to tech professionals. Great data engineers, developers, business analysts and the like are in red-hot demand, and unemployment in tech is just above 2.4% Many are trying to change the pattern in their particular industry.

Recruiting 233

Recruiting Data Engineering Report Groups 233

Altexsoft

AUGUST 25, 2020

That’s why a data specialist with big data skills is one of the most sought-after IT candidates. Data Engineering positions have grown by half and they typically require big data skills. Data engineering vs big data engineering. Big data processing. maintaining data pipeline.

Big Data 75

Big Data Data Engineering Engineering Data 75

TechCrunch

NOVEMBER 10, 2020

The company originally was looking at a way to simplify getting data ready for models or other applications, but as the founders spoke to customers, they saw a big need for a simple way to build dashboards backed by that data and quickly pivoted.

CTO Coach 196

CTO Coach Business Intelligence Travel Data Engineering 196

Xebia

MARCH 13, 2025

Solves: Prevent duplicating computations Feature catalog To prevent repeated development work we do not need to share a data store. Teams can share features definitions to prevent them from reinventing the wheel. Have a look at this blog post on streamlining data science workflows. It will work as a shared data store.

Training 130

Training Artificial Inteligence Machine Learning Data 130

Altexsoft

APRIL 22, 2020

quintillion bytes of data generated daily, data scientists get busier than ever. And data science provides us with methods to make use of this data. So while you search for a definition of “quintillion”, Google probably learns that you have this knowledge gap. What is a data engineer?

Data Engineering 69

Data Engineering Engineering Artificial Inteligence Data 69

Perficient

FEBRUARY 13, 2025

Breaking down silos has been a drumbeat of data professionals since Hadoop, but this SAP <-> Databricks initiative may help to solve one of the more intractable data engineering problems out there. SAP has a large, critical data footprint in many large enterprises. However, SAP has an opaque data model.

Government 64

Government Open Source Artificial Inteligence Machine Learning 64

Cloudera

APRIL 30, 2021

Cloudera Data Engineering (CDE) is a cloud-native service purpose-built for enterprise data engineering teams. The first option is to include all the files required as part of the job definition. The job definition from the UI shows that the dependent.py,zip, Try out Cloudera Data Engineering today!

Data Engineering 65

Data Engineering Engineering Data Software Review 65

Dzone - DevOps

MAY 29, 2023

It is an important dimension of data quality because recently refreshed data is more accurate and, thus, more valuable.

Data 69

Data Data Engineering Analytics Engineering 69

Xebia

DECEMBER 26, 2024

This central file defines how and where we are deploying resources, but we are missing what we are deploying, the job definition itself. whl new_cluster: node_type_id: Standard_DS3_v2 num_workers: 1 spark_version: 15.3.x-cpu-ml-scala2.12 x-cpu-ml-scala2.12

Resources 130

Resources Testing Infrastructure Applications 130

TechCrunch

JUNE 17, 2021

” The tool Airbnb built was Minerva , optimised specifically for the kinds of questions Airbnb might typically have for its own data.

Metrics 247

Metrics Tools Data Big Data 247

The Crazy Programmer

MARCH 14, 2020

If so many businesses are failing on their way to becoming digital companies, that definitely has to do with the fact that they are forgetting that people have to change too in order to fit the new scenario. As such, focusing solely on digital transformation today seems like a huge mistake. Enter Human Transformation Technology.

Artificial Inteligence 208

Artificial Inteligence Artificial Intelligence Survey Technology 208

TechCrunch

NOVEMBER 28, 2022

As businesses of all sizes race to capture these opportunities, they need best-in-class data and model infrastructure to deliver outstanding products that continuously improve and adapt to real-world needs,” added Nathan Benaich of Air Street Capital, in a statement. “This is where V7’s AI Data Engine shines.

Training 240

Training Data Technical Review Artificial Inteligence 240

Xebia

OCTOBER 25, 2024

Bo Lemmers, Analytics Engineer here at Xebia, and Mike Kamysz, Data Engineer at The Data Institute kick off the series with: “ Why can’t I just query the raw data? ” Single Source of Truth A common data model ensures that there’s a single, standardised version of the truth. Oh, sweet summer child.

Data 130

Data Metrics Analytics Quality Assurance 130

Netflix Tech

DECEMBER 3, 2022

Workflow Definitions Below you can see a typical file structure of a sample workflow package written in SparkSQL. ??? In every sample workflow package there are three workflow definition files that work together to provide flexible functionality. See an example high water mark job from the main workflow definition. -

Data 144

Data Technical Review Software Review Testing 144

Xebia

DECEMBER 22, 2023

On a specific note, our definition of work-in-progress isn’t only the work in the ‘in progress’ status category. Often, we recommend putting limits in place on work-in-progress, but even then, analyzing the trends can reveal suboptimal flows and points of attention. Instead, we work that went back from ‘done’ or ‘in progress’ to ‘todo’.

Weak Development Team 244

Weak Development Team Data Trends Software Review 244

Apiumhub

APRIL 1, 2021

Learning data science through books will help you get a holistic view of Data Science as data science is not just about computing, it also includes mathematics, probability, statistics, programming, machine learning, and much more. Top Data science books you should definitely read.

Artificial Inteligence 52

Artificial Inteligence Data Machine Learning Handbook 52

Xebia

FEBRUARY 3, 2023

You start out really small, perhaps a Proof of Concept, a small app or data engineering pipeline. Point 1 you most likely cannot learn from a blog post, but point 2 is definitively something we can tackle here. Or you want to go full Domain Driven Design, with all the bells and whistles?

How To 130

How To Architecture Data Engineering Applications 130

Cloudera

MAY 10, 2021

The introduction of CDP Public Cloud has dramatically reduced the time in which you can be up and running with Cloudera’s latest technologies, be it with containerised Data Warehouse , Machine Learning , Operational Database or Data Engineering experiences or the multi-purpose VM-based Data Hub style of deployment.

Cloud 104

Cloud Machine Learning Artificial Inteligence Software Review 104

CIO

FEBRUARY 14, 2023

Here, I’ll focus on why these three elements and capabilities are fundamental building blocks of a data ecosystem that can support real-time AI. DataStax Real-time data and decisioning First, a few quick definitions. Real-time data involves a continuous flow of data in motion.

Artificial Inteligence 174

Artificial Inteligence Strategy Data Machine Learning 174

CIO

OCTOBER 19, 2022

“In IT, we have traditionally focused on protecting the single source of truth, but our business functions want to experiment with the data,” says Kaul. “So, So, at Zebra, we created a hub-and-spoke model, where the hub is data engineering and the spokes are machine learning experts embedded in the business functions.

Leadership 187

Leadership CTO Coach Culture Fractional CTO 187

Netflix Tech

FEBRUARY 9, 2022

Let’s define some requirements that we are interested in delivering to the Netflix data engineers or anyone who would like to schedule a workflow with some external assets in it. The important thing is that this business logic can be built in a separate repository and maintained independently from the workflow definition.

Data 84

Data Testing Software Review Systems Review 84

Xebia

JANUARY 30, 2025

And that some people in your company should be allowed to view that personal data, while others should not. And let’s say you have an employees table that looks like this: employee_id first_name yearly_income team_name 1 Marta 123.456 Data Engineers 2 Tim 98.765 Data Analysts You could provide access to this table in different ways.

Data 130

Data Groups Data Engineering Systems Review 130

Xebia

JULY 29, 2024

Data Modelers: They design and create conceptual, logical, and physical data models that organize and structure data for best performance, scalability, and ease of access. In the 1990s, data modeling was a specialized role. Ownership: decide who owns the documentation based on the content type.

Technical Review 130

Technical Review Data Systems Review Meeting 130

Confluent

FEBRUARY 22, 2019

Our quickly expanding business also means our platform needs to keep ahead of the curve to accommodate the ever-growing volumes of data and increasing complexity of our systems. The Deliveroo Engineering organisation is in the process of decomposing a monolith application into a suite of microservices.

Data 81

Data Software Review Weak Development Team Systems Review 81

Honeycomb

APRIL 21, 2025

The idea that telemetry data needs to be managed, or needs a strategy, draws a lot of inspiration from the data world (as in, BI and Data Engineering). Your company most likely has a data team that manages the data warehouse(s), data pipelines, data sources, and reporting tools.

Strategy 52

Strategy Data Technical Review Software Review 52

Cloudera

JUNE 15, 2021

Cluster Definition. For CDP Private Cloud clusters, the cluster definition directory is where we are going to define: Cloudera Manager and Cluster versions. Our cluster definition will consist of three parts: application.yml – this is just a placeholder file for any Ansible tasks you may wish to execute after Deployment.

Cloud 86

Cloud AWS Azure Linux 86

Xebia

MARCH 10, 2021

Let’s first briefly explore the world of Data Science and better understand why DevOps can help. The world of Data Science and Advanced Analytics. Data Science and Advanced Analytics encompasses a set of principles, problem definitions, algorithms, and processes for extracting non-obvious and useful patterns from large data sets [1].

DevOps 130

DevOps Data Analytics Policies 130

Altexsoft

AUGUST 21, 2019

Data obsession is all the rage today, as all businesses struggle to get data. But, unlike oil, data itself costs nothing, unless you can make sense of it. Dedicated fields of knowledge like data engineering and data science became the gold miners bringing new methods to collect, process, and store data.

Development 44

Development Software Engineering Data Engineering Architecture 44