O'Reilly Media - Ideas

APRIL 9, 2019

A few months ago, I wrote about the differences between data engineers and data scientists. An interesting thing happened: the data scientists started pushing back, arguing that they are, in fact, as skilled as data engineers at data engineering. Data engineering is not in the limelight.

Data Engineering 112

Data Engineering Engineering Data Technical Review 112

CIO

OCTOBER 13, 2023

The data architect also “provides a standard common business vocabulary, expresses strategic requirements, outlines high-level integrated designs to meet those requirements, and aligns with enterprise strategy and related business architecture,” according to DAMA International’s Data Management Body of Knowledge.

Data 199

Data Data Engineering Database Administration Artificial Inteligence 199

Apiumhub

DECEMBER 9, 2024

Azure Synapse Analytics is Microsofts end-to-give-up information analytics platform that combines massive statistics and facts warehousing abilities, permitting advanced records processing, visualization, and system mastering. Data Lake Storage (Gen2): Select or create a Data Lake Storage Gen2 account.

Azure 89

Azure Analytics Storage Artificial Inteligence 89

The Crazy Programmer

NOVEMBER 6, 2021

A cloud architect has a profound understanding of storage, servers, analytics, and many more. They are responsible for designing, testing, and managing the software products of the systems. Big Data Engineer. Another highest-paying job skill in the IT sector is big data engineering.

Artificial Inteligence 290

Artificial Inteligence Blockchain Software Review Artificial Intelligence 290

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 Artificial Inteligence 98

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

Hu's Place - HitachiVantara

JANUARY 15, 2019

For lack of similar capabilities, some of our competitors began implying that we would no longer be focused on the innovative data infrastructure, storage and compute solutions that were the hallmark of Hitachi Data Systems. A REST API is built directly into our VSP storage controllers.

Systems Review 72

Systems Review Storage System Software Review 72

Perficient

MARCH 27, 2025

Deletion vectors are a storage optimization feature that replaces physical deletion with soft deletion. Data privacy regulations such as GDPR , HIPAA , and CCPA impose strict requirements on organizations handling personally identifiable information (PII) and protected health information (PHI).

Compliance 64

Compliance Systems Review Policies Storage 64

Netflix Tech

OCTOBER 28, 2021

Data Engineers of Netflix?—?Interview Interview with Pallavi Phadnis 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. Pallavi Phadnis is a Senior Software Engineer at Netflix.

Data Engineering 72

Data Engineering Engineering Data Software Engineering 72

Cloudera

OCTOBER 23, 2024

By maintaining operational metadata within the table itself, Iceberg tables enable interoperability with many different systems and engines. The Iceberg REST catalog specification is a key component for making Iceberg tables available and discoverable by many different tools and execution engines.

Data 84

Data Analytics Systems Review Architecture 84

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. This greatly increases data processing capabilities.

Big Data 75

Big Data Data Engineering Engineering Data 75

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

Cloudera

OCTOBER 11, 2021

Modak, a leading provider of modern data engineering solutions, is now a certified solution partner with Cloudera. Customers can now seamlessly automate migration to Cloudera’s Hybrid Data Platform — Cloudera Data Platform (CDP) to dynamically auto-scale cloud services with Cloudera Data Engineering (CDE) integration with Modak Nabu.

Data Engineering 95

Data Engineering Engineering Data Cloud 95

CIO

APRIL 10, 2024

As with many data-hungry workloads, the instinct is to offload LLM applications into a public cloud, whose strengths include speedy time-to-market and scalability. Data-obsessed individuals such as Sherlock Holmes knew full well the importance of inferencing in making predictions, or in his case, solving mysteries.

Artificial Inteligence 203

Artificial Inteligence Generative AI Storage Artificial Intelligence 203

Cloudera

SEPTEMBER 2, 2021

The shift to cloud has been accelerating, and with it, a push to modernize data pipelines that fuel key applications. That is why cloud native solutions which take advantage of the capabilities such as disaggregated storage & compute, elasticity, and containerization are more paramount than ever.

Data Engineering 85

Data Engineering Performance Engineering Data 85

Netflix Tech

DECEMBER 21, 2020

At this scale, we can gain a significant amount of performance and cost benefits by optimizing the storage layout (records, objects, partitions) as the data lands into our warehouse. We built AutoOptimize to efficiently and transparently optimize the data and metadata storage layout while maximizing their cost and performance benefits.

Storage 84

Storage Data Resources Data Engineering 84

Perficient

FEBRUARY 13, 2023

Introduction: We often end up creating a problem while working on data. So, here are few best practices for data engineering using snowflake: 1.Transform So, resist the temptation to periodically load data using other methods (such as querying external tables). Use it, but don’t use it for normal large data loads.

Data Engineering 69

Data Engineering Engineering Data Storage 69

TechCrunch

SEPTEMBER 15, 2021

Businesses and the tech companies that serve them are run on data. At best, it can be used to help with decision-making, to understand how well or badly an organization is doing and to build new systems to run the next generation of services. “Data has become the new currency, and the world is pivoting to that,” he said.

Artificial Inteligence 234

Artificial Inteligence Data Weak Development Team Artificial Intelligence 234

TechCrunch

APRIL 12, 2022

CEO Ketan Umare says that the proceeds will be put toward supporting the Flyte community by “improving the accessibility, performance and reliability of Flyte” and broadening the array of systems that Flyte integrates with. We need to bridge both these worlds in a structured and repeatable way.”

Artificial Inteligence 202

Artificial Inteligence Machine Learning Open Source Biotech 202

CIO

FEBRUARY 13, 2023

At the same time, Seetharaman says not all legacy technology is cold, and LGA is embracing legacy systems that enable continued business growth. “We We are investing in modernizing and migrating our legacy [systems] so we can leverage the cloud-managed services,’’ he says.

Budget 218

Budget Artificial Inteligence Technical Review VR 218

AWS Machine Learning - AI

NOVEMBER 15, 2024

Amazon Q Business is a generative AI-powered assistant that can answer questions, provide summaries, generate content, and securely complete tasks based on data and information in your enterprise systems. It empowers employees to be more creative, data-driven, efficient, prepared, and productive.

Generative AI 112

Generative AI AWS Groups Artificial Inteligence 112

Gorilla Logic

APRIL 27, 2022

Are you a data engineer or seeking to become one? This is the first entry of a series of articles about skills you’ll need in your everyday life as a data engineer. One great feature you can find in many SQL systems is CTEs ( C ommon T able E xpressions). This blog post is for you.

Data Engineering 59

Data Engineering Engineering Data Windows 59

TechCrunch

MAY 18, 2022

Liubimov was a senior engineer at Huawei before moving to Yandex, where he worked as a backend developer on speech technologies and dialogue systems. When asked, Heartex says that it doesn’t collect any customer data and open sources the core of its labeling platform for inspection. Heartex’s dashboard.

Open Source 203

Open Source Weak Development Team Data Artificial Inteligence 203

TechCrunch

DECEMBER 1, 2020

And as data workloads continue to grow in size and use, they continue to become ever more complex. On top of that, today there are a wide range of applications and platforms that a typical organization will use to manage source material, storage, usage and so on. Doing so manually can be time-consuming, if not impossible.

Tools 214

Tools Data Weak Development Team Big Data 214

CIO

SEPTEMBER 2, 2022

Full-stack software engineers are essentially high-level software engineers who are focused on designing, testing, and implementing software applications. Job duties include helping plan software projects, designing software system architecture, and designing and deploying web services, applications, and APIs. Data engineer.

Software Engineering 148

Software Engineering Data Engineering DevOps AWS 148

CIO

AUGUST 31, 2022

Full-stack software engineers are essentially high-level software engineers who are focused on designing, testing, and implementing software applications. Job duties include helping plan software projects, designing software system architecture, and designing and deploying web services, applications, and APIs. Data engineer.

Software Engineering 148

Software Engineering Data Engineering DevOps AWS 148

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

Netflix Tech

FEBRUARY 14, 2025

It requires a state-of-the-art system that can track and process these impressions while maintaining a detailed history of each profiles exposure. This nuanced integration of data and technology empowers us to offer bespoke content recommendations.

Systems Review 66

Systems Review Technical Review Data Metrics 66

Mobilunity

AUGUST 3, 2021

The cloud offers excellent scalability, while graph databases offer the ability to display incredible amounts of data in a way that makes analytics efficient and effective. Who is Big Data Engineer? Big Data requires a unique engineering approach. Big Data Engineer vs Data Scientist.

Big Data 52

Big Data Data Engineering Engineering Data 52

Erik Bernhardsson

DECEMBER 15, 2020

CI systems were fragile, CD basically didn't exist, and deployments were scary manual affairs. The difference with software engineers is that demand grows when the cost goes down. Your aunt's dental practice didn't use to have a website, but now it's worth having a whole online booking system. The great productivity inequality.

Software Engineering 325

Software Engineering Engineering Tools Software 325

CIO

JUNE 22, 2023

It’s an industry that handles critical, private, and sensitive data so there’s a consistent demand for cybersecurity and data professionals. But you’ll also find a high demand for software engineers, data analysts, business analysts, data scientists, systems administrators, and help desk technicians.

Industry 183

Industry UI/UX Telecommunications Quality Assurance 183

O'Reilly Media - Data

JULY 18, 2018

I list a few examples from the media industry, but there are are numerous new startups that collect aerial imagery, weather data, in-game sports data , and logistics data, among other things. If you are an aspiring entrepreneur, note that you can build interesting and highly valued companies by focusing on data.

Machine Learning 196

Machine Learning Artificial Inteligence Data Marketing 196

Altexsoft

JANUARY 14, 2021

Snowflake, Redshift, BigQuery, and Others: Cloud Data Warehouse Tools Compared. From simple mechanisms for holding data like punch cards and paper tapes to real-time data processing systems like Hadoop, data storage systems have come a long way to become what they are now. Data warehouse architecture.

Backup 115

Backup Azure Software Review Architecture 115

AWS Machine Learning - AI

NOVEMBER 20, 2024

The solution combines data from an Amazon Aurora MySQL-Compatible Edition database and data stored in an Amazon Simple Storage Service (Amazon S3) bucket. Solution overview Amazon Q Business is a fully managed, generative AI-powered assistant that helps enterprises unlock the value of their data and knowledge.

Data 104

Data AWS Groups Knowledge Base 104

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

Erik Bernhardsson

DECEMBER 6, 2022

I met a lot of VCs and other people while I was still just working alone on a prototype and most of them told me I was nuts when I started talking about building custom file systems and container engines. We're exploiting this by running our own file system in FUSE which we expose to containers.

Fractional CTO 242

Fractional CTO CTO Coach Software Engineering Serverless 242

CIO

FEBRUARY 14, 2023

Finally, machine learning is essentially the use and development of computer systems that learn and adapt without following explicit instructions; it uses models (algorithms) to identify patterns, learn from the data, and then make data-based decisions. The storage for these features is referred to as a feature store.

Artificial Inteligence 174

Artificial Inteligence Strategy Data Machine Learning 174