Cloudera

DECEMBER 21, 2021

Since the release of Cloudera Data Engineering (CDE) more than a year ago , our number one goal was operationalizing Spark pipelines at scale with first class tooling designed to streamline automation and observability. This way users focus on data curation and less on the pipeline gluing logic. Autoscaling speed and scale.

Data Engineering 117

Data Engineering Technical Review Software Review Engineering 117

InfoQ Culture Methods

FEBRUARY 22, 2022

Software testing, especially in large scale projects, is a time intensive process. Test suites may be computationally expensive, compete with each other for available hardware, or simply be so large as to cause considerable delay until their results are available. By Gregor Endler, Marco Achtziger.

Machine Learning 117

Machine Learning Artificial Inteligence Testing Development 117

CIO

OCTOBER 13, 2023

Big data architect: The big data architect designs and implements data architectures supporting the storage, processing, and analysis of large volumes of data. Data architect vs. data engineer The data architect and data engineer roles are closely related.

Data 304

Data Database Administration Data Engineering Artificial Inteligence 304

Apiumhub

JANUARY 26, 2022

Data engineer roles have gained significant popularity in recent years. Number of studies show that the number of data engineering job listings has increased by 50% over the year. And data science provides us with methods to make use of this data. Who are data engineers?

Data Engineering 52

Data Engineering Engineering Data Machine Learning 52

Altexsoft

OCTOBER 30, 2021

Engineers are not only the ones bearing helmets and operating on construction sites. Scientists don’t always wear lab coats or handle test tubes. Explaining the difference, especially when they both work with something intangible such as data , is difficult. Data science vs data engineering.

Data Engineering 98

Data Engineering Engineering Data Machine Learning 98

Netflix Tech

JULY 15, 2021

Data Engineers of Netflix?—?Interview Interview with Kevin Wylie This post is part of our “Data Engineers of Netflix” series, where our very own data engineers talk about their journeys to Data Engineering @ Netflix. Kevin, what drew you to data engineering?

Data Engineering 75

Data Engineering Engineering Data Big Data 75

CIO

MAY 30, 2024

You’ll be tested on your knowledge of generative models, neural networks, and advanced machine learning techniques. Upon completion, you will need to pass a knowledge test to earn a badge that you can display on your resume or LinkedIn profile. Cost : $4,000

Generative AI 317

Generative AI Artificial Inteligence Programming Azure 317

Trigent

JUNE 20, 2022

To do this, they are constantly looking to partner with experts who can guide them on what to do with that data. This is where data engineering services providers come into play. Data engineering consulting is an inclusive term that encompasses multiple processes and business functions.

Data Engineering 52

Data Engineering Engineering Data Strategy 52

Altexsoft

JUNE 25, 2019

If we look at the hierarchy of needs in data science implementations, we’ll see that the next step after gathering your data for analysis is data engineering. This discipline is not to be underestimated, as it enables effective data storing and reliable data flow while taking charge of the infrastructure.

Data Engineering 106

Data Engineering Engineering Data Artificial Inteligence 106

Xebia

JULY 19, 2023

As we depend more on these systems, testing should be a top priority during deployment. AI systems are even more vulnerable as, besides code, they leverage data and algorithms, so you need to test all the components to avoid whammies. When a new system version is ready, the tests ensure it still functions correctly.

Artificial Inteligence 130

Artificial Inteligence Systems Review Testing System 130

InnovationM

FEBRUARY 1, 2024

API enables the communication and the data transfer between the two channels. API is a business logic, which is written by the developer in any programming language to perform the business/requirement related operations. What is API Testing ? API Testing is testing the business logic of the developed application.

Testing 52

Testing Software Review Authentication Resources 52

Altexsoft

APRIL 22, 2020

So, along with data scientists who create algorithms, there are data engineers, the architects of data platforms. In this article we’ll explain what a data engineer is, the field of their responsibilities, skill sets, and general role description. What is a data engineer?

Data Engineering 69

Data Engineering Engineering Artificial Inteligence Data 69

Mobilunity

AUGUST 3, 2021

It is so large in size and complexity that no traditional data management tools can store or manage it effectively. Although the Big Data concept itself is relatively new, the origins of huge data sets go back to the 1970s when the world of data was just getting started with the development of the relational database.

Big Data 52

Big Data Data Engineering Engineering Data 52

Cloudera

OCTOBER 19, 2021

This combined with Cloudera Data Engineering’s (CDE) first-class job management APIs and centralized monitoring is delivering new value for modernizing enterprises. Easing development friction. We started out by interviewing customers to understand where the most friction exists in their pipeline development workflows today.

Data Engineering 118

Data Engineering Engineering Data Virtualization 118

Netflix Tech

JUNE 1, 2021

Data Engineers of Netflix?—?Interview Interview with Samuel Setegne Samuel Setegne This post is part of our “Data Engineers of Netflix” interview series, where our very own data engineers talk about their journeys to Data Engineering @ Netflix. What drew you to Netflix?

Data Engineering 52

Data Engineering Engineering Data Culture 52

CircleCI

JULY 29, 2022

One difficult challenge in the software development cycle is increasing the speed of development while ensuring the quality of the code remains the same. The data world has adopted software development practices in recent years to test data changes before deployment. What is dbt?

Testing 98

Testing Software Review Continuous Integration Software Development 98

CIO

JANUARY 6, 2023

But 86% of technology managers also said that it’s challenging to find skilled professionals in software and applications development, technology process automation, and cloud architecture and operations. Of those surveyed, 56% said they planned to hire for new roles in the coming year and 39% said they planned to hire for vacated roles.

LAN 358

LAN Systems Administration How To WAN 358

InfoQ Culture Methods

FEBRUARY 24, 2023

In this article, Tariq King describes the metaverse concept, discusses its key engineering challenges and quality concerns, and then walks through recent technological advances in AI and software testing that are helping to mitigate these challenges. By Tariq King

Testing 125

Testing Engineering Software Artificial Inteligence 125

CIO

OCTOBER 20, 2023

When it comes to certifications, you can typically choose to get certified in skills that you already have, or you can use certification as an opportunity to grow your skill set and develop skills you’d like to put to use in your career. According to PayScale, the average annual salary for CISA certified IT pros is $114,000 per year.

SCRUM 333

SCRUM Azure AWS Agile 333

CIO

MAY 21, 2024

In the past, to get at the data, engineers had to plug a USB stick into the car after a race, download the data, and upload it to Dropbox where the core engineering team could then access and analyze it. You can monitor and act on the data and you can set thresholds.”

Data 240

Data Azure Engineering Analytics 240

CIO

JANUARY 19, 2024

The US Bureau of Labor Statistics (BLS) forecasts employment of data scientists will grow 35% from 2022 to 2032, with about 17,000 openings projected on average each year. According to data from PayScale, $99,842 is the average base salary for a data scientist in 2024.

Artificial Inteligence 309

Artificial Inteligence Data Machine Learning Azure 309

CIO

SEPTEMBER 2, 2022

The US financial services industry has fully embraced a move to the cloud, driving a demand for tech skills such as AWS and automation, as well as Python for data analytics, Java for developing consumer-facing apps, and SQL for database work. Back-end software engineer. DevOps engineer.

Software Engineering 246

Software Engineering Data Engineering DevOps AWS 246

CIO

AUGUST 31, 2022

The US financial services industry has fully embraced a move to the cloud, driving a demand for tech skills such as AWS and automation, as well as Python for data analytics, Java for developing consumer-facing apps, and SQL for database work. Back-end software engineer. DevOps engineer.

Software Engineering 246

Software Engineering Data Engineering DevOps AWS 246

Mentormate

DECEMBER 12, 2023

Today, we delve into the traditional ML workflow and explore how prompt-based development accelerates the process by enabling parallel idea experimentation with minimal investment. The Traditional Machine Learning Workflow Initiating a traditional ML project begins with collecting data. Duplicated records are identified and rectified.

Artificial Inteligence 52

Artificial Inteligence Machine Learning Technical Review Development 52

Altexsoft

OCTOBER 29, 2020

How do you trust data with any transformative decisions when there’s a chance that some of it has been lost, or incomplete, or is simply irrelevant to your business case? What is ETL Developer: Role Description, Process Breakdown, Responsibilities, and Skills. What is ETL testing and why do we need it?

Testing 63

Testing Tools Software Review Technical Review 63

The Crazy Programmer

NOVEMBER 6, 2021

And they are also responsible for coordinating with the various teams to ensure the development tasks happen accurately. A software architect is a professional in the IT sector who works closely with a development task. They are responsible for designing, testing, and managing the software products of the systems.

Artificial Inteligence 290

Artificial Inteligence Blockchain Artificial Intelligence Software Review 290

CIO

DECEMBER 11, 2023

Digital solutions to implement generative AI in healthcare EXL, a leading data analytics and digital solutions company , has developed an AI platform that combines foundational generative AI models with our expertise in data engineering, AI solutions, and proprietary data sets.

Generative AI 184

Generative AI Artificial Inteligence Healthcare Artificial Intelligence 184

CIO

DECEMBER 16, 2022

An average premium of 12% was on offer for PMI Program Management Professional (PgMP), up 20%, and for GIAC Certified Forensics Analyst (GCFA), InfoSys Security Engineering Professional (ISSEP/CISSP), and Okta Certified Developer, all up 9.1% since March. Other tools including Informatica, Keras, Splunk and Redis also made the list.

Technical Review 201

Technical Review Analytics AWS SCRUM 201

CIO

JUNE 14, 2023

Organization: AWS Price: US$300 How to prepare: Amazon offers free exam guides, sample questions, practice tests, and digital training. CDP Data Analyst The Cloudera Data Platform (CDP) Data Analyst certification verifies the Cloudera skills and knowledge required for data analysts using CDP.

Big Data 302

Big Data Analytics Data eLearning 302

Xebia

DECEMBER 22, 2023

Therefore, we have selected three different views on JIRA data that have proven their value in different organizations. They provide insights for you to make better informed decisions, in order to continuously improve your developer experience and team productivity. Refinement status might be overly short or skipped over entirely.

Weak Development Team 244

Weak Development Team Data Trends Software Review 244

Altexsoft

FEBRUARY 10, 2021

New approaches arise to speed up the transformation of raw data into useful insights. Similar to how DevOps once reshaped the software development landscape, another evolving methodology, DataOps, is currently changing Big Data analytics — and for the better. Development. Treat data as code. DataOps vs MLOps.

Analytics 75

Analytics DevOps Development Software Review 75

CIO

JUNE 28, 2023

“These circumstances have induced uncertainty across our entire business value chain,” says Venkat Gopalan, chief digital, data and technology officer, Belcorp. “As That, in turn, led to a slew of manual processes to make descriptive analysis of the test results. The team leaned on data scientists and bio scientists for expert support.

Technical Review 196

Technical Review Analytics Innovation Artificial Intelligence 196

Hacker Earth Developers Blog

NOVEMBER 27, 2023

Role-based test creation process HackerEarth Assessments has always been known for its easy-to-use test creation flow, but we have now gone one-step further and made the process role-based. The whole process of test creation can be cut down to 5 minutes or less! So without further ado, let’s dive right in!

ChatGPT 130

ChatGPT Recruiting Windows Testing 130

CIO

SEPTEMBER 18, 2023

To that end, New York-based telecom giant Verizon has developed a platform for migrating millions of customers to its next-generation networks such as 5G, Cloud Connectivity, and Fixed Wireless Access — with minimal disruption. Network Alpha Factory also provides data intelligence and the ability to decommission legacy devices.

Telecommunications 221

Telecommunications Network Systems Review Software Review 221

InfoQ Culture Methods

MAY 4, 2020

We will demystify AI, and see how it is already embedded in our everyday life, and then you are going to learn about how we (The folks at Testim.io) utilised this kind of groundbreaking technology to bring test automation to the next level. By Daniel Gold.

Testing 129

Testing Technology Data Engineering Artificial Intelligence 129

Mobilunity

NOVEMBER 24, 2021

The demand for specialists who know how to process and structure data is growing exponentially. In most digital spheres, especially in fintech, where all business processes are tied to data processing, a good big data engineer is worth their weight in gold. Who Is an ETL Engineer?

Development 52

Development Storage Recruiting Architecture 52

CIO

SEPTEMBER 29, 2023

Most relevant roles for making use of NLP include data scientist , machine learning engineer, software engineer, data analyst , and software developer. TensorFlow Developed by Google as an open-source machine learning framework, TensorFlow is most used to build and train machine learning models and neural networks.

Generative AI 356

Generative AI ChatGPT Machine Learning Artificial Inteligence 356