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 331

Data Database Administration Data Engineering Artificial Inteligence 331

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. The AWS CDE Cluster that ran these tests was configured with 15 r5d.4xlarge fixed sized clusters). 1) Gang Scheduling | Apache YuniKorn (Incubating). (2)

Data Engineering 81

Data Engineering Performance Engineering Data 81

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 317

Big Data Analytics Data eLearning 317

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 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. Data engineer.

Software Engineering 246

Software Engineering Data Engineering DevOps AWS 246

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

TechCrunch

APRIL 6, 2022

The company’s platform is designed to give data teams a unified platform to automate the orchestration of data engineering and analytics workloads, he says, ideally reducing the need for manual configuration. Rather, it was the ability to scale the productivity of the people who work with data.

Data 230

Data Technical Cofounder Weak Development Team Data Engineering 230

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 283

Generative AI Artificial Inteligence Strategy Google Cloud 283

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. We introduced the Real-Time Hub,” says Arun Ulagaratchagan, CVP, Azure Data at Microsoft.

Data 313

Data Azure Engineering Analytics 313

Cloudera

APRIL 30, 2021

Cloudera Data Engineering (CDE) is a cloud-native service purpose-built for enterprise data engineering teams. CDE is already available in CDP Public Cloud (AWS & Azure) and will soon be available in CDP Private Cloud Experiences. Try out Cloudera Data Engineering today!

Data Engineering 61

Data Engineering Engineering Data Software Review 61

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 358

LAN Systems Administration How To WAN 358

d2iq

JANUARY 18, 2022

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. Read the blog to learn more about D2iQ Kaptain on Amazon Web Services (AWS).

Artificial Inteligence 72

Artificial Inteligence Machine Learning AWS Weak Development Team 72

TechCrunch

FEBRUARY 7, 2022

Throughout the COVID-19 recovery era, location data is set to be a core ingredient for driving business intelligence and building sustainable consumer loyalty. Scalable and data-rich location services are helping consumer-facing business drive transformation and growth along three strategic fronts: Creating richer consumer experiences.

Business Intelligence 230

Business Intelligence AWS Sustainability Data Engineering 230

DevOps.com

JANUARY 27, 2023

Data streams are all the rage. Once a niche element of data engineering, streaming data is the new normal—more than 80% of Fortune 100 companies have adopted Apache Kafka, the most common streaming platform, and every major cloud provider (AWS, Google Cloud Platform and Microsoft Azure) has launched its own streaming service.

Data 125

Data Google Cloud Azure AWS 125

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). Close behind and rising fast, though, were security auditing and bioinformatics, offering a pay premium of 19%, up 18.8% since March.

Technical Review 246

Technical Review Analytics AWS SCRUM 246

AWS Machine Learning - AI

JANUARY 26, 2024

We also discuss common security concerns that can undermine trust in AI, as identified by the Open Worldwide Application Security Project (OWASP) Top 10 for LLM Applications , and show ways you can use AWS to increase your security posture and confidence while innovating with generative AI.

Artificial Inteligence 116

Artificial Inteligence Generative AI Security Applications 116

Existek

JANUARY 11, 2022

We suggest drawing a detailed comparison of Azure vs AWS to answer these questions. Azure vs AWS market share. What is Amazon AWS used for? Azure vs AWS features. Azure vs AWS comparison: other practical aspects. Azure vs AWS comparison: other practical aspects. Azure vs AWS: which is better?

Azure 52

Azure AWS Cloud How To 52

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. “We are still in the early innings of MLOps.

Artificial Inteligence 249

Artificial Inteligence Machine Learning Marketing Data Engineering 249

Progress

DECEMBER 30, 2019

Another cloud service I’m asked about is AWS Amplify from another popular cloud giant. Assuming you’re able to choose the best tool for the job, let’s contrast AWS Amplify with Kinvey, our serverless development platform for business apps. Where Does AWS Amplify Fit? When Should I Use Progress Kinvey?

AWS 52

AWS DevOps Disaster Recovery Serverless 52

Progress

DECEMBER 30, 2019

Another cloud service I’m asked about is AWS Amplify from another popular cloud giant. Assuming you’re able to choose the best tool for the job, let’s contrast AWS Amplify with Kinvey, our serverless development platform for business apps. Where Does AWS Amplify Fit? When Should I Use Progress Kinvey?

AWS 52

AWS DevOps Disaster Recovery Serverless 52

CIO

JULY 10, 2023

His role now encompasses responsibility for data engineering, analytics development, and the vehicle inventory and statistics & pricing teams. The company was born as a series of print buying guides in 1966 and began making its data available via CD-ROM in the 1990s.

Infrastructure 246

Infrastructure Artificial Inteligence Data Generative AI 246

Dzone - DevOps

DECEMBER 27, 2023

This post focuses on elevating our data engineering game, streamlining your data workflows, and significantly cutting computing costs. The need to optimize offline data pipeline optimization has become a necessity with the growing complexity and scale of modern data pipelines.

Data 45

Data Data Engineering AWS Big Data 45

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 40

AWS Open Source Linux Off-The-Shelf 40

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 40

AWS Open Source Linux Off-The-Shelf 40

TIBCO - Connected Intelligence

SEPTEMBER 22, 2020

For today’s most mature enterprise cloud architectures, ultra-quick querying capabilities on petabytes of data is what the modern pace of business demands. And for enterprises running AWS, Amazon Redshift is most certainly a part of the data warehousing picture given its size, flexibility, and scale.

AWS 48

AWS Analytics Cloud Analysis 48

TechCrunch

OCTOBER 7, 2021

came out of the direct experiences of the three co-founders in work they did as cybersecurity specialists at a range of organizations including IBM, AWS, Netscout and the U.S. “But now we are running into the bottleneck of the data. The germination for Gretel.ai military and over the years. But humans are not meant to be mined.”

Artificial Inteligence 246

Artificial Inteligence Technical Review Engineering Data 246

CIO

APRIL 3, 2023

Created in conjunction with Amazon Web Services (AWS) and unveiled in January, SportsX is an incubator rooted in research, applied sciences, and product development charged with creating innovative digital solutions that give teams a winning edge, create extraordinary fan experiences, and create positive social and environmental impact.

Sport 241

Sport Artificial Inteligence Coaching Games 241

Dzone - DevOps

FEBRUARY 20, 2023

This is a recording of a breakout session from AWS Heroes at re:Invent 2022, presented by AWS Hero Zainab Maleki. In software engineering, we've learned that building robust and stable applications has a direct correlation with overall organization performance. Posted with permission.

Software Engineering 53

Software Engineering Engineering Software Data 53

Altexsoft

FEBRUARY 11, 2023

Data architect and other data science roles compared Data architect vs data engineer Data engineer is an IT specialist that develops, tests, and maintains data pipelines to bring together data from various sources and make it available for data scientists and other specialists.

Data 87

Data Data Engineering Big Data Architecture 87

Cloudera

OCTOBER 13, 2020

On September 24, 2019, Cloudera launched CDP Public Cloud (CDP-PC) as the first step in delivering the industry’s first Enterprise Data Cloud. Enrich – Data Engineering (Apache Spark and Apache Hive). Serve – Operational Database (Apache HBASE), Data Exploration (Apache Solr) . That Was Then. New Services.

Cloud 91

Cloud Machine Learning Artificial Inteligence Azure 91

TechCrunch

APRIL 12, 2022

According to a 2021 Wakefield Research report , enterprise data engineers spend nearly half their time building and maintaining data pipelines. While he concedes that similar efforts from other vendors exist, like AWS Sagemaker , he believes that they fail to integrate well with the rest of the data science ecosystem.

Artificial Inteligence 202

Artificial Inteligence Machine Learning Open Source Biotech 202

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

Dzone - DevOps

DECEMBER 29, 2023

In Part 1 of our series explored the strategies for enhancing Airflow data pipelines using Apache Hive on AWS EMR. In this concluding Part 2, we will extensively explore Apache Spark , another pivotal element in our comprehensive data engineering toolkit.

Data 40

Data Analytics AWS Data Engineering 40

Altexsoft

JUNE 29, 2021

MLEs are usually a part of a data science team which includes data engineers , data architects, data and business analysts, and data scientists. Who does what in a data science team. Machine learning engineers are relatively new to data-driven companies.

Artificial Inteligence 105

Artificial Inteligence Machine Learning Engineering Data Engineering 105

CIO

JUNE 28, 2023

“We transferred our lab data—including safety, sensory efficacy, toxicology tests, product formulas, ingredients composition, and skin, scalp, and body diagnosis and treatment images—to our AWS data lake,” Gopalan says. This allowed us to derive insights more easily.”

Technical Review 262

Technical Review Analytics Innovation Artificial Intelligence 262

Cloudera

DECEMBER 13, 2023

The seamless inflow of retained and external datasets via CDP allows teams to create datasets locally and make them available for others to consume without the need for assistance from data engineers.

CTO 88

CTO Scalability Architecture Analytics 88

Mobilunity

MAY 8, 2023

The Benefits of Partnering With Reliable Data Lake Engineering Services Providers Partnering with reliable data lake engineering services providers can bring numerous benefits to organizations. To show you how important big data engineer at your company, here are some key benefits: Expertise and Experience.

Engineering 52

Engineering Data Storage AWS 52