Cloudera

JULY 13, 2021

After the launch of CDP Data Engineering (CDE) on AWS a few months ago, we are thrilled to announce that CDE, the only cloud-native service purpose built for enterprise data engineers, is now available on Microsoft Azure. . Prerequisites for deploying CDP Data Engineering on Azure can be found here.

Data Engineering 127

Data Engineering Azure Engineering Enterprise 127

Xebia

FEBRUARY 28, 2025

… that is not an awful lot. These days Data Science is not anymore a new domain by any means. The time when Hardvard Business Review posted the Data Scientist to be the “Sexiest Job of the 21st Century” is more than a decade ago [1]. First let’s throw in a statistic. What a waste! Why is that?

Technical Review 182

Technical Review Weak Development Team Machine Learning Artificial Inteligence 182

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. Data pipelines are composed of multiple steps with dependencies and triggers. Modernizing pipelines.

Data Engineering 118

Data Engineering Technical Review Software Review Engineering 118

Cloudera

FEBRUARY 14, 2022

When we introduced Cloudera Data Engineering (CDE) in the Public Cloud in 2020 it was a culmination of many years of working alongside companies as they deployed Apache Spark based ETL workloads at scale. Each unlocking value in the data engineering workflows enterprises can start taking advantage of. Usage Patterns.

Data Engineering 113

Data Engineering Engineering Data Storage 113

TechCrunch

JUNE 22, 2022

CloudQuery CEO and co-founder Yevgeny Pats helped launch the startup because he needed a tool to give him visibility into his cloud infrastructure resources, and he couldn’t find one on the open market. He built his own SQL-based tool to help understand exactly what resources he was using, based on data engineering best practices.

Infrastructure 206

Infrastructure Cloud Open Source Data Engineering 206

AWS Machine Learning - AI

JULY 10, 2024

They need a full range of capabilities to build and scale generative AI applications that are tailored to their business and use case —including apps with built-in generative AI, tools to rapidly experiment and build their own generative AI apps, a cost-effective and performant infrastructure, and security controls and guardrails.

Artificial Inteligence 142

Artificial Inteligence AWS Generative AI Knowledge Base 142

TechCrunch

JULY 12, 2022

But building data pipelines to generate these features is hard, requires significant data engineering manpower, and can add weeks or months to project delivery times,” Del Balso told TechCrunch in an email interview. Systems use features to make their predictions. This is a difficult transition for enterprises.

Artificial Inteligence 249

Artificial Inteligence Machine Learning Marketing Data Engineering 249

CIO

APRIL 2, 2025

They develop an AI roadmap that is aligned with the companys goals and resources, with the intention of implementing the right use cases at the perfect time, including selecting the right technologies and tools. Model and data analysis. They examine existing data sources and select, train and evaluate suitable AI models and algorithms.

Artificial Inteligence 120

Artificial Inteligence Technical Advisors Artificial Intelligence Automotive 120

CIO

JUNE 10, 2024

According to a 2023 survey from Access Partnership and Amazon Web Services (AWS) , 92% of employers expect to be using AI-related solutions by 2028 and 93% expect to use generative AI within the upcoming five years. We need to transition jobs to be ready to leverage AI tools.” All workers are impacted by those needs, she says.

Artificial Inteligence 204

Artificial Inteligence Strategy Machine Learning Training 204

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. The germination for Gretel.ai

Artificial Inteligence 246

Artificial Inteligence Engineering Technical Review Data 246

O'Reilly Media - Data

AUGUST 24, 2018

Machine learning and AI technologies and platforms at AWS. Dan Romuald Mbanga walks through the ecosystem around the machine learning platform and API services at AWS. Watch " Machine learning and AI technologies and platforms at AWS.". Democratizing data. Data science as a catalyst for scientific discovery.

Open Source 162

Open Source Journal Machine Learning Artificial Inteligence 162

Altexsoft

JULY 23, 2020

introduces available tools and platforms to automate MLOps steps. It facilitates collaboration between a data science team and IT professionals, and thus combines skills, techniques, and tools used in data engineering, machine learning, and DevOps — a predecessor of MLOps in the world of software development.

Artificial Inteligence 145

Artificial Inteligence Machine Learning DevOps Tools 145

CIO

JUNE 14, 2023

If you would like to submit a big data certification to this directory , please email us. AWS Certified Data Analytics The AWS Certified Data Analytics – Specialty certification is intended for candidates with experience and expertise working with AWS to design, build, secure, and maintain analytics solutions.

Big Data 190

Big Data Analytics Data eLearning 190

CIO

JANUARY 6, 2023

Cloud engineers should have experience troubleshooting, analytical skills, and knowledge of SysOps, Azure, AWS, GCP, and CI/CD systems. Keep an eye out for candidates with certifications such as AWS Certified Cloud Practitioner, Google Cloud Professional, and Microsoft Certified: Azure Fundamentals.

LAN 215

LAN How To Systems Administration Software Engineering 215

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

CIO

OCTOBER 13, 2023

Analytics/data science architect: These data architects design and implement data architecture supporting advanced analytics and data science applications, including machine learning and artificial intelligence. Data architect vs. data engineer The data architect and data engineer roles are closely related.

Data 199

Data Data Engineering Database Administration Artificial Inteligence 199

Cloudera

SEPTEMBER 2, 2021

At Cloudera, we introduced Cloudera Data Engineering (CDE) as part of our Enterprise Data Cloud product — Cloudera Data Platform (CDP) — to meet these challenges. Traditional scheduling solutions used in big data tools come with several drawbacks. fixed sized clusters).

Data Engineering 85

Data Engineering Performance Engineering Data 85

CIO

JULY 6, 2023

While Microsoft, AWS, Google Cloud, and IBM have already released their generative AI offerings, rival Oracle has so far been largely quiet about its own strategy. While AWS, Google Cloud, Microsoft, and IBM have laid out how their AI services are going to work, most of these services are currently in preview.

Generative AI 170

Generative AI Artificial Inteligence Strategy Google Cloud 170

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. Data engineer.

Software Engineering 148

Software Engineering Data Engineering DevOps AWS 148

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. Data engineer.

Software Engineering 148

Software Engineering Data Engineering DevOps AWS 148

CIO

AUGUST 18, 2022

The data warehouse requires a time-consuming extract, transform, and load (ETL) process to move data from the system of record to the data warehouse, whereupon the data would be normalized, queried, and answers obtained. based Walgreens consolidated its systems of insight into a single data lakehouse.

Data 210

Data Technical Review Technical Advisors Artificial Inteligence 210

O'Reilly Media - Ideas

FEBRUARY 11, 2019

In a forthcoming survey, “Evolving Data Infrastructure,” we found strong interest in machine learning (ML) among respondents across geographic regions. In this post, I’ll describe some of the core technologies and tools companies are beginning to evaluate and build. AI and Data technologies in the cloud. Security and privacy.

Big Data 108

Big Data Technology Tools Cloud 108

Netflix Tech

NOVEMBER 22, 2019

by Shefali Vyas Dalal AWS re:Invent is a couple weeks away and our engineers & leaders are thrilled to be in attendance yet again this year! Technology advancements in content creation and consumption have also increased its data footprint. We’ve compiled our speaking events below so you know what we’ve been working on.

AWS 15

AWS Open Source Linux Engineering Management 15

Honeycomb

APRIL 23, 2025

Part 2: Observability cost drivers and levers of control I recently wrote an update to my old piece on the cost of observability , on how much you should spend on observability tooling. Some observability platforms are approaching AWS levels of pricing complexity these days. The answer, of course, is its complicated.

Weak Development Team 106

Weak Development Team Metrics Storage Engineering 106

AWS Machine Learning - AI

AUGUST 8, 2024

As one of the largest AWS customers, Twilio engages with data, artificial intelligence (AI), and machine learning (ML) services to run their daily workloads. Data is the foundational layer for all generative AI and ML applications. Access to Amazon Bedrock FMs isn’t granted by default.

Artificial Inteligence 127

Artificial Inteligence Data Generative AI AWS 127

TechCrunch

SEPTEMBER 15, 2021

It’s an ETL (extract, transform and load) provider, and it is far from being the only one in the market, with others like Dataiku, Talent, SnapLogic, as well as cloud providers like AWS and Microsoft, among the many trying to address this area. We look forward to supporting the team through its next phase of growth and expansion.”.

Artificial Inteligence 234

Artificial Inteligence Data Weak Development Team Artificial Intelligence 234

AWS Machine Learning - AI

JUNE 21, 2024

To accomplish this, eSentire built AI Investigator, a natural language query tool for their customers to access security platform data by using AWS generative artificial intelligence (AI) capabilities. eSentire has over 2 TB of signal data stored in their Amazon Simple Storage Service (Amazon S3) data lake.

Artificial Inteligence 126

Artificial Inteligence Generative AI AWS Serverless 126

InfoWorld

DECEMBER 4, 2023

At the AWS re:Invent conference last week, the spotlight was focused on artificial intelligence, with the new generative AI assistant, Amazon Q, debuting as the star of the show. To read this article in full, please click here

AWS 65

AWS Artificial Intelligence Artificial Inteligence Generative AI 65

CIO

DECEMBER 16, 2022

Other non-certified skills attracting a pay premium of 19% included data engineering , the Zachman Framework , Azure Key Vault and site reliability engineering (SRE). Other tools including Informatica, Keras, Splunk and Redis also made the list. since March.

Technical Review 148

Technical Review Analytics AWS SCRUM 148

CIO

JUNE 3, 2024

Data engineering, prompt engineering, and coding will be the IT skills most in demand, but critical thinking, creativity, flexibility, and the ability to work in teams will also be highly valued, according to the survey. Changing hearts and minds Generative AI is already creating demand for a new set of skills.

Technical Review 198

Technical Review Generative AI Technical Advisors Software Review 198

Mobilunity

MAY 3, 2024

When it comes to financial technology, data engineers are the most important architects. As fintech continues to change the way standard financial services are done, the data engineer’s job becomes more and more important in shaping the future of the industry. Knowledge of Scala or R can also be advantageous.

Data Engineering 52

Data Engineering Fintech Engineering Data 52

d2iq

JANUARY 18, 2022

Complexity: There are lots of cloud-native and AI/ML tools on the market. In this post , we’ll discuss how D2iQ Kaptain on Amazon Web Services (AWS) directly addresses the challenges of moving machine learning workloads into production, the steep learning curve for Kubernetes, and the particular difficulties Kubeflow can introduce.

Artificial Inteligence 72

Artificial Inteligence Machine Learning AWS Weak Development Team 72

AWS Machine Learning - AI

JULY 15, 2024

Years ago, Mixbook undertook a strategic initiative to transition their operational workloads to Amazon Web Services (AWS) , a move that has continually yielded significant advantages. The data intake process involves three macro components: Amazon Aurora MySQL-Compatible Edition , Amazon S3, and AWS Fargate for Amazon ECS.

Generative AI 121

Generative AI Artificial Inteligence AWS Technical Review 121

O'Reilly Media - Ideas

FEBRUARY 18, 2020

It’s also the data source for our annual usage study, which examines the most-used topics and the top search terms. [1]. This combination of usage and search affords a contextual view that encompasses not only the tools, techniques, and technologies that members are actively using, but also the areas they’re gathering information about.

Technical Review 145

Technical Review Microservices Data Engineering Architecture 145

Capgemini

MARCH 19, 2025

In an era when AI is reshaping industries, Capgemini’s 7 th Global Data Science Challenge (GDSC) tackled education. Capgemini offered its data science expertise, UNESCO contributed its deep understanding of global educational challenges, and Amazon Web Services (AWS) provided access to cutting-edge AI technologies.

Generative AI 72

Generative AI Education Artificial Inteligence Policies 72

O'Reilly Media - Ideas

JANUARY 29, 2019

In other words, could we see a roadmap for transitioning from legacy cases (perhaps some business intelligence) toward data science practices, and from there into the tooling required for more substantial AI adoption? Data scientists and data engineers are in demand.

Sustainability 108

Sustainability Company Machine Learning Artificial Inteligence 108

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