CIO

JULY 18, 2023

The CIO’s biggest hiring challenge is clear: “There is simply not enough talent to go around,” says Scott duFour, global CIO of business payments company Fleetcor, for whom positions in areas such as AI, cloud architecture, and data science remain the toughest to fill.

Technical Advisors 246

Technical Advisors Artificial Inteligence Generative AI How To 246

CIO

JUNE 23, 2023

Not only should the data strategy be cognizant of what’s in the IT and business strategies, it should also be embedded within those strategies as well, helping them unlock even more business value for the organization. Data Center Management, IT Strategy

Strategy 290

Strategy Technical Review Data Software Review 290

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

APRIL 27, 2023

The demand for specialized skills has boosted salaries in cybersecurity, data, engineering, development, and program management. Solutions architect Solutions architects are responsible for building, developing, and implementing systems architecture within an organization, ensuring that they meet business or customer needs.

Technical Review 290

Technical Review Software Review Systems Review Software Engineering 290

CIO

OCTOBER 20, 2023

The vendor-neutral certification covers topics such as organizational structure, security and risk management, asset security, security operations, identity and access management (IAM), security assessment and testing, and security architecture and engineering. Careers, Certifications, IT Skills

SCRUM 344

SCRUM Azure AWS Agile 344

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.

Data Engineering 52

Data Engineering Fintech Engineering Data 52

CIO

APRIL 12, 2023

After walking his executive team through the data hops, flows, integrations, and processing across different ingestion software, databases, and analytical platforms, they were shocked by the complexity of their current data architecture and technology stack. It isn’t easy.

Artificial Inteligence 363

Artificial Inteligence Artificial Intelligence Machine Learning Agile 363

CIO

JUNE 28, 2023

The initial stage involved establishing the data architecture, which provided the ability to handle the data more effectively and systematically. “We The team spent about six months building and testing the platform architecture and data foundation, and then spent the next six months developing the various use cases.

Technical Review 262

Technical Review Analytics Innovation Artificial Intelligence 262

CIO

SEPTEMBER 29, 2022

Collectively, the scope spans about 1,600 data analytics professionals in the company and we work closely with our technology partnersâ??more that cover areas of software engineering, infrastructure, cybersecurity, and architecture, for instance. But we have to bring in the right talent. more than 3,000 of themâ??that

Machine Learning 336

Machine Learning Artificial Inteligence Travel Technical Review 336

CIO

JUNE 6, 2023

CIO.com’s 2023 State of the CIO research found that data science/analytics is one of the top three tech-related skills CIOs are trying to hire – and 22% said it’s one of the three most difficult to fill. With shortages likely to continue, IT leaders must optimize their data team investments.

Data 130

Data Analytics Government Culture 130

Existek

SEPTEMBER 28, 2023

Responsibilities of AI engineers Requirements to hire AI developers Where to find AI developers? How to hire AI developers? How much do AI developers make? Therefore, it’s required to obtain good skills in data science. Get in touch The post How to Hire AI Developers? Conclusion WHAT DO AI DEVELOPERS DO?

Artificial Inteligence 52

Artificial Inteligence Development How To Artificial Intelligence 52

Cloudera

MAY 8, 2023

Out of the box Cloudera Data platform (CDP) performs superbly but over time, if data architecture, data engineering, and DevOps best practices are not maintained, you can get stuck maintaining the wild, wild west. Others go into great detail to teach you how to connect your logs to visualizations, step-by-step.

Data Engineering 75

Data Engineering Microservices DevOps Architecture 75

Cloudera

JUNE 2, 2021

At Cloudera, we recently introduced several cutting-edge innovations in our Cloudera Data Engineering experience (CDE) as part of our Enterprise Data Cloud product — Cloudera Data Platform (CDP) — to serve the growing demands. Incomplete visibility into the lineage of the data pipelines from source to target .

Data 88

Data Data Engineering Machine Learning Artificial Inteligence 88

Mobilunity

DECEMBER 21, 2022

Let’s look at a few of the top reasons for hiring data scientists: Data needs analyzing. Data must be read and analyzed carefully. This requires a professional understanding of how to read it and make data-driven findings. Data can enhance products and services.

Data 52

Data How To Machine Learning Artificial Inteligence 52

OpenCredo

JULY 13, 2018

The Power of the Architecture-driven Organisation. Project Datatron: Architecture-driven Collaboration. This isn’t the only organisational problem an engineering consultant may encounter. At first it looked like a fairly straightforward data engineering problem. – Melvin Conway.

Architecture 40

Architecture Fractional CTO CTO Coach Engineering 40

Xebia

JUNE 9, 2023

This sounded a bit too harsh for me so I searched a bit more and stumbled upon this post: How to create a separate Rosetta Terminal which showed how to create a separate Terminal application which used Rosetta. The software used also needs to be architecture specific. pip install azureml-dataset-runtime==1.40.0 Well not really.

Azure 130

Azure Architecture Software Storage 130

CIO

MARCH 12, 2024

Additionally, we are looking into training LLMs [large language models] on our code base to unlock further productivity boosts for our developers and data engineers. That means an engineer or team is freed up to spend more time thinking creatively or strategically about the overall project and how to further improve it, he says.

Software Development 328

Software Development Software Review Weak Development Team Software 328

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

Cloudera

APRIL 24, 2023

To this six-part series, where we’ll look at how to get control of the health of your Cloudera Data platform (CDP) environment. We’ll share best practices on how to locate and capitalize on those opportunities. Cloudera Data Platform (CDP) must be configured properly to function well with high performance.

Case Study 79

Case Study Hardware Guidelines Data Engineering 79

CIO

NOVEMBER 9, 2022

Others don’t know how to interpret tables or charts and prefer narratives. It also removes the inconsistency in the way data is interpretated by spelling out exactly what should be taken away from the analysis.” Users have freedom to slice and dice the data without technical know-how,” he says. Some prefer charts.

Analytics 342

Analytics Metrics Government Business Intelligence 342

Cloudera

OCTOBER 4, 2023

And all of this should ideally be delivered in an easy to deploy and administer data platform available to work in any cloud. With this unique architecture, we support stable and consistent ingestion of huge volumes of fast moving data, tougher with flexible, workload-isolated data warehousing services.

Analytics 83

Analytics Machine Learning Artificial Inteligence Telecommunications 83

Mentormate

JANUARY 11, 2022

Forecasts from industry analysts may be useful for setting your longer-term strategy, but they aren’t quite as helpful for understanding how to get things done in our current reality. Only the largest engineering organizations have the scale to make this kind of continuous investment. The Rise of Data.

Technical Review 98

Technical Review Trends Off-The-Shelf Software Review 98

Datavail

JUNE 20, 2023

Percona Live 2023 was an exciting open-source database event that brought together industry experts, database administrators, data engineers, and IT leadership. Percona Live 2023 Session Highlights The three days of the event were packed with interesting open-source database sessions! Here are a few highlights.

Open Source 52

Open Source Database Administration Survey AWS 52

Apiumhub

JUNE 22, 2021

In this event you will gain insight into radical ideas that are already proven to provide ROI in some of the most data-driven and innovative companies in the world as well as learn how to accelerate AI-driven transformation.

Innovation 84

Innovation Data Technical Review Artificial Inteligence 84

Xebia

APRIL 5, 2022

In matters concerning operations, architecture and DevOps, any barriers are overcome by the ubiquitous engineering mindset both our companies have been fostering. kol , Chief of Data Engineering. Working with the people at Xebia is like working with colleagues I’ve known for a long time. Organization. Krzysztof K?kol

Culture 130

Culture Marketing Software Data Engineering 130

CIO

FEBRUARY 13, 2023

Now, as more faculty, staff, and students are accessing information on-premises and in the cloud, IT has a borderless network and the team is implementing a zero-trust network architecture, says CIO Mugunth Vaithylingam. And it’s not just applications development where such tools are having an impact.

Budget 363

Budget Artificial Inteligence Technical Review VR 363

AWS Machine Learning - AI

JANUARY 26, 2024

Many customers are looking for guidance on how to manage security, privacy, and compliance as they develop generative AI applications. Understanding and addressing LLM vulnerabilities, threats, and risks during the design and architecture phases helps teams focus on maximizing the economic and productivity benefits generative AI can bring.

Artificial Inteligence 116

Artificial Inteligence Generative AI Security Applications 116

Confluent

FEBRUARY 6, 2019

The blog posts How to Build and Deploy Scalable Machine Learning in Production with Apache Kafka and Using Apache Kafka to Drive Cutting-Edge Machine Learning describe the benefits of leveraging the Apache Kafka ® ecosystem as a central, scalable and mission-critical nervous system. So how can the Kafka ecosystem help here?

Machine Learning 106

Machine Learning Artificial Inteligence Scalability Data Engineering 106

Apiumhub

NOVEMBER 17, 2022

Speakers include: Simon Brown – Creator of the famous C4 model, Author of “Software Architecture for Developers” & Founder of Structurizr. Jesse Anderson – Data Engineer, Creative Engineer, and Managing Director of Big Data Institute. Engineering Documentation – Lorna Jane Mitchell.

Technical Review 81

Technical Review Software Review Fractional CTO CTO Coach 81

InnovationM

APRIL 25, 2024

How to approach it? This typically involves saving the model weights and architecture in a compatible format, such as a TensorFlow SavedModel or PyTorch state dictionary. Setup Environment: Ensure that your RunPod environment is properly set up with the necessary dependencies and resources to run the LLM.

Artificial Inteligence 52

Artificial Inteligence Serverless Scalability Resources 52

Mobilunity

MAY 8, 2023

It is designed to store vast amounts of data from a variety of sources. Moreover an Enterprise Data Lake makes it accessible to data scientists, analysts, and other users across the enterprise. Ingestion zone is where data is collected from various sources and ingested into the data lake. Continuous Support.

Engineering 52

Engineering Data Storage AWS 52

Cloudera

SEPTEMBER 21, 2021

Many customers looking at modernizing their pipeline orchestration have turned to Apache Airflow, a flexible and scalable workflow manager for data engineers. But now it has become very simple and secure with our release of the Cloudera Airflow provider , which gives users the best of Airflow and CDP data services.

Off-The-Shelf 93

Off-The-Shelf Data Engineering Virtualization Cloud 93

Cloudera

AUGUST 3, 2022

The customer also experienced equal or better performance with the simpler architecture in CDP. This applies to both Hive tables and views, allowing Spark based data engineering to benefit from the same FGAC policies that SQL and BI analysts get from Impala. Learn more on how to use the feature from our public documentation. .

Policies 84

Policies Machine Learning Artificial Inteligence Data Engineering 84

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 Machine Learning 98

Confluent

JULY 11, 2019

For a KSQL newbie the practical exercises show you how to process data in Apache Kafka using an interactive SQL interface. The course also shows students how to use geospatial extensions and extend KSQL with user-defined functions. The more experienced KSQL developer will benefit from production deployment lessons.

Training 83

Training Course Exercises IoT 83

CIO

NOVEMBER 29, 2022

A sea of complexity For years, data ecosystems have gotten more complex due to discrete (and not necessarily strategic) data-platform decisions aimed at addressing new projects, use cases, or initiatives. Layering technology on the overall data architecture introduces more complexity. Data and cloud strategy must align.

Organization 278

Organization Technical Review Artificial Inteligence Data 278

O'Reilly Media - Data

APRIL 3, 2018

This year’s sessions on Data Engineering and Architecture showcases streaming and real-time applications, along with the data platforms used at several leading companies. We have a tutorial and sessions to help companies learn how to comply with GDPR. Privacy and security.

Machine Learning 155

Machine Learning Artificial Inteligence Company Case Study 155