Xebia

JANUARY 19, 2023

The following is a review of the book Fundamentals of Data Engineering by Joe Reis and Matt Housley, published by O’Reilly in June of 2022, and some takeaway lessons. This book is as good for a project manager or any other non-technical role as it is for a computer science student or a data engineer.

Data Engineering 130

Data Engineering Engineering Data Technical Review 130

Xebia

FEBRUARY 28, 2025

The development- and operations world differ in various aspects: Development ML teams are focused on innovation and speed Dev ML teams have roles like Data Scientists, Data Engineers, Business owners. Cloud providers have answered the market need for better tooling in the Machine Learning space. That is massively useful.

Technical Review 182

Technical Review Weak Development Team Artificial Inteligence Machine Learning 182

Netflix Tech

DECEMBER 14, 2023

Engineers from across the company came together to share best practices on everything from Data Processing Patterns to Building Reliable Data Pipelines. The result was a series of talks which we are now sharing with the rest of the Data Engineering community! In this video, Sr.

Data Engineering 106

Data Engineering Engineering Data Software Engineering 106

TechCrunch

JUNE 17, 2021

Now, three alums that worked with data in the world of Big Tech have founded a startup that aims to build a “metrics store” so that the rest of the enterprise world — much of which lacks the resources to build tools like this from scratch — can easily use metrics to figure things out like this, too.

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Metrics Tools Data Big Data 247

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

TechCrunch

APRIL 13, 2021

The company is able to do this because its core architecture is somewhat different from other data pipeline and integration services that, at first glance, seem to offer a similar solution. Because of this, users can use the service to connect different tools to their data warehouse but also build real-time tools on top of these data streams.

Data 248

Data Software Engineering Open Source Engineering 248

O'Reilly Media - Ideas

JULY 3, 2019

The O'Reilly Data Show: Ben Lorica chats with Jeff Meyerson of Software Engineering Daily about data engineering, data architecture and infrastructure, and machine learning. Their conversation mainly centered around data engineering, data architecture and infrastructure, and machine learning (ML).

Artificial Inteligence 22

Artificial Inteligence Machine Learning Tools Development 22

Xebia

NOVEMBER 21, 2024

dbt (data build tool) has seen increasing use in recent years as a tool to transform data in data warehouses. of the repository, while other times this is in an external tool like Confluence or Notion. As with any new tool, one question that is commonly asked is about its speed. But what about dbt?

Weak Development Team 130

Weak Development Team Testing Analytics Engineering 130

CIO

DECEMBER 22, 2022

DataOps (data operations) is an agile, process-oriented methodology for developing and delivering analytics. It brings together DevOps teams with data engineers and data scientists to provide the tools, processes, and organizational structures to support the data-focused enterprise. What is DataOps?

Analytics 195

Analytics Data Engineering Artificial Inteligence Machine Learning 195

Netflix Tech

JUNE 20, 2024

A summary of sessions at the first Data Engineering Open Forum at Netflix on April 18th, 2024 The Data Engineering Open Forum at Netflix on April 18th, 2024. At Netflix, we aspire to entertain the world, and our data engineering teams play a crucial role in this mission by enabling data-driven decision-making at scale.

Data Engineering 82

Data Engineering Engineering Data Generative AI 82

TechCrunch

OCTOBER 5, 2021

. “Byteboard’s solution is equipping high-growth businesses with the tools they need to assess and hire top technical talent, with greater efficiency and fairness. Launched in 2019, Byteboard’s idea was to create a tool that would make the technical interview experience less tedious and more effective.

Technical Review 233

Technical Review Software Review PHP Software Engineering 233

CIO

SEPTEMBER 29, 2022

Managing all of its facets, of course, requires many different approaches and tools to achieve beneficial outcomes, and Mano Mannoochahr, the companyâ??s s SVP and chief data & analytics officer, has a crowâ??s that cover areas of software engineering, infrastructure, cybersecurity, and architecture, for instance.

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Artificial Inteligence Machine Learning Travel Technical Review 201

CTOvision

MAY 1, 2014

Senior Software Engineer – Big Data. IO is the global leader in software-defined data centers. IO has pioneered the next-generation of data center infrastructure technology and Intelligent Control, which lowers the total cost of data center ownership for enterprises, governments, and service providers.

Big Data 107

Big Data Data Engineering Engineering Data Center 107

CIO

SEPTEMBER 2, 2022

If you’re an IT pro looking to break into the finance industry, or a finance IT leader wanting to know where hiring will be most competitive, here are the top 10 in-demand tech jobs in finance, according to data from Dice. Software engineer. Full-stack software engineer. Back-end software engineer.

Software Engineering 148

Software Engineering Data Engineering DevOps AWS 148

CIO

AUGUST 31, 2022

If you’re an IT pro looking to break into the finance industry, or a finance IT leader wanting to know where hiring will be most competitive, here are the top 10 in-demand tech jobs in finance, according to data from Dice. Software engineer. Full-stack software engineer. Back-end software engineer.

Software Engineering 148

Software Engineering Data Engineering DevOps AWS 148

TechCrunch

MAY 3, 2022

“There were no purpose-built machine learning data tools in the market, so [we] started Galileo to build the machine learning data tooling stack, beginning with a [specialization in] unstructured data,” Chatterji told TechCrunch via email. With Galileo, which today emerged from stealth with $5.1

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Artificial Inteligence Machine Learning Development Software Review 223

TechCrunch

OCTOBER 7, 2021

Increasingly, conversations about big data, machine learning and artificial intelligence are going hand-in-hand with conversations about privacy and data protection. “But now we are running into the bottleneck of the data. . “But now we are running into the bottleneck of the data. ”

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Artificial Inteligence Engineering Technical Review Data 246

CIO

JANUARY 6, 2023

Database developers should have experience with NoSQL databases, Oracle Database, big data infrastructure, and big data engines such as Hadoop. DevOps engineers must be able to deploy automated applications, maintain applications, and identify the potential risks and benefits of new software and systems.

LAN 215

LAN How To Systems Administration Software Engineering 215

TechCrunch

JUNE 2, 2021

The core idea behind Iterative is to provide data scientists and data engineers with a platform that closely resembles a modern GitOps-driven development stack. After spending time in academia, Iterative co-founder and CEO Dmitry Petrov joined Microsoft as a data scientist on the Bing team in 2013.

Artificial Inteligence 249

Artificial Inteligence Machine Learning Open Source Data Engineering 249

Erik Bernhardsson

DECEMBER 6, 2022

Long story short: I'm working on a super cool tool called Modal. It's primarily meant for data teams. I then spent six years as a CTO, although I managed the data team directly for a long time and would occasionally write some data code. Data 1 strikes me a a discipline that deserves a bit more love.

CTO Coach 242

CTO Coach Fractional CTO Software Engineering Serverless 242

TechCrunch

MARCH 21, 2023

Organizations dealing with large amounts of data often struggle to ensure that data remains high-quality. According to a survey from Great Expectations, which creates open source tools for data testing, 77% of companies have data quality issues and 91% believe that it’s impacting their performance.

Data 202

Data Data Engineering Training Engineering 202

TechCrunch

AUGUST 8, 2022

In a recent MuleSoft survey , 84% of organizations said that data and app integration challenges were hindering their digital transformations and, by extension, their adoption of cloud platforms. Systems, an IT consulting firm focused on data analytics. mixes of on-premises and public cloud infrastructure).

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Company Data Cloud Google Cloud 191

TechCrunch

MAY 10, 2022

But Piero Molino, the co-founder of AI development platform Predibase , says that inadequate tooling often exacerbates them. We want to drastically reduce that [by bringing] a low-code but high-ceiling machine learning tool to organizations” Molino continued. These are ultimately organizational challenges. healthcare company.”

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Artificial Inteligence Machine Learning Off-The-Shelf Training 235

CIO

MAY 30, 2024

If you want to learn more about generative AI skills and tools, while also demonstrating to employers that you have the skillset to tackle generative AI projects, here are 10 certifications and certificate programs to get your started. Cost : $4,000

Generative AI 206

Generative AI Artificial Inteligence Programming Azure 206

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 Artificial Inteligence 52

Erik Bernhardsson

APRIL 1, 2021

I'm extremely determined that I want to start my own thing (meaning, don't try to hire me, it's probably a waste of time), and it's highly likely it will be something in the data engineering/science tools/infra space. I've spent most of my career working in data in some shape or form. Not just tools, but also processes.

Data Engineering 162

Data Engineering Engineering Blockchain Software Engineering 162

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

Mobilunity

AUGUST 3, 2021

Big Data is a collection of data that is large in volume but still growing exponentially over time. It is so large in size and complexity that no traditional data management tools can store or manage it effectively. Who is Big Data Engineer? Big Data requires a unique engineering approach.

Big Data 52

Big Data Data Engineering Engineering Data 52

CIO

JUNE 22, 2023

Consulting In the consulting industry, technology has become an important tool for making decisions, designing solutions, improving processes, and providing insights on optimizing business strategy. It’s an industry that handles critical, private, and sensitive data so there’s a consistent demand for cybersecurity and data professionals.

Industry 183

Industry UI/UX Telecommunications Quality Assurance 183

CIO

APRIL 27, 2023

The demand for specialized skills has boosted salaries in cybersecurity, data, engineering, development, and program management. It’s a role that typically requires at least a bachelor’s degree in information technology, software engineering, computer science, or a related field. increase from 2021.

Technical Review 174

Technical Review Software Review Systems Review Software Engineering 174

Altexsoft

AUGUST 21, 2019

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. In this article, we will discuss the role of an ETL developer in a data engineering team.

Development 44

Development Software Engineering Data Engineering Architecture 44

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. However, the Midjourney research lab claims it wants to work with artists, and serve as a tool to help them create content easier.

Generative AI 214

Generative AI Artificial Inteligence Machine Learning ChatGPT 214

Altexsoft

JUNE 29, 2021

This article will focus on the role of a machine learning engineer, their skills and responsibilities, and how they contribute to an AI project’s success. The role of a machine learning engineer in the data science team. The focus here is on engineering, not on building ML algorithms. Who does what in a data science team.

Artificial Inteligence 105

Artificial Inteligence Machine Learning Engineering Data Engineering 105

O'Reilly Media - Ideas

FEBRUARY 11, 2020

Key survey results: The C-suite is engaged with data quality. Data scientists and analysts, data engineers, and the people who manage them comprise 40% of the audience; developers and their managers, about 22%. Data quality might get worse before it gets better. Adopting AI can help data quality.

Weak Development Team 145

Weak Development Team Data Technical Review Survey 145

Confluent

FEBRUARY 6, 2019

This blog post focuses on how the Kafka ecosystem can help solve the impedance mismatch between data scientists, data engineers and production engineers. Impedance mismatch between data scientists, data engineers and production engineers. For now, we’ll focus on Kafka.

Artificial Inteligence 107

Artificial Inteligence Machine Learning Scalability Data Engineering 107

Capgemini

MARCH 31, 2024

A Brave New (Generative) World – The future of generative software engineering Keith Glendon 26 Mar 2024 Facebook Twitter Linkedin Disclaimer : This blog article explores potential futures in software engineering based on current advancements in generative AI.

Software Engineering 52

Software Engineering Engineering Software Generative AI 52

CTOvision

AUGUST 1, 2015

“Organizations are spending billions of dollars to consolidate its data into massive data lakes for analytics and business intelligence without any true confidence applications will achieve a high degree of performance, availability and scalability. to manage the chaos of big data systems appeared first on CTOvision.com.

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Big Data System Data Software Engineering 114