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. In the cloud, with infinite potential capacity, the problem is more about creating efficiencies and managing costs while also meeting critical SLAs.

Data Engineering 85

Data Engineering Performance Engineering Data 85

CTOvision

MAY 1, 2014

If you are, or know of anyone who is, interested in this position (and if you can meet most of their qualifications) please connect with IO right away, they want to talk with you like right away. Senior Software Engineer – Big Data. To apply and get more info see: [link]. Primary Responsibilities.

Big Data 107

Big Data Data Engineering Engineering Data Center 107

CIO

OCTOBER 9, 2024

For these data to be utilized effectively, the right mix of skills, budget, and resources is necessary to derive the best outcomes. Such data also has to be placed in environments, be it private or public clouds, that can meet both business requirements and technical needs.

Strategy 215

Strategy Data Artificial Inteligence Storage 215

AWS Machine Learning - AI

MARCH 13, 2025

Consequently, MaestroQA had to develop a solution capable of scaling to meet their clients extensive needs. Amazon Bedrocks broad choice of FMs from leading AI companies, along with its scalability and security features, made it an ideal solution for MaestroQA.

Generative AI 113

Generative AI CTO Coach AWS Artificial Inteligence 113

TechCrunch

JANUARY 26, 2022

Now, it is announcing a big round of funding to fuel its big data growth: Firebolt has raised $100 million in a Series C round on a $1.4 Investors are betting big at the moment on companies that are building platforms to meet not just the enterprise data challenges of today, but the growing challenges as they believe they will exist tomorrow.

Analytics 218

Analytics Data Big Data Business Intelligence 218

AWS Machine Learning - AI

APRIL 1, 2025

With App Studio, technical professionals such as IT project managers, data engineers, enterprise architects, and solution architects can quickly develop applications tailored to their organizations needswithout requiring deep software development skills. Outside of work, Samit enjoys playing cricket, traveling, and biking.

AWS 104

AWS Software Review Technical Review Generative AI 104

Netflix Tech

JUNE 1, 2021

Data Engineers of Netflix?—?Interview Interview with Dhevi Rajendran Dhevi Rajendran 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.

Data Engineering 55

Data Engineering Engineering Data Culture 55

AWS Machine Learning - AI

APRIL 23, 2025

Designed with a serverless, cost-optimized architecture, the platform provisions SageMaker endpoints dynamically, providing efficient resource utilization while maintaining scalability. He designs and implements scalable and highly-available solutions and architectures that help customers achieve their business goals.

Artificial Inteligence 67

Artificial Inteligence Open Source AWS Serverless 67

Xebia

JULY 29, 2024

Data Modelers: They design and create conceptual, logical, and physical data models that organize and structure data for best performance, scalability, and ease of access. In the 1990s, data modeling was a specialized role. Data Users: These are analysts and BI developers who use data within the organization.

Technical Review 130

Technical Review Data Systems Review Meeting 130

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 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 174

Technical Review Software Review Systems Review Software Engineering 174

Perficient

MARCH 27, 2025

Ensuring compliant data deletion is a critical challenge for data engineering teams, especially in industries like healthcare, finance, and government. Deletion Vectors in Delta Live Tables offer an efficient and scalable way to handle record deletion without requiring expensive file rewrites. What Are Deletion Vectors?

Compliance 64

Compliance Systems Review Policies Storage 64

CIO

OCTOBER 18, 2023

To do so, the team had to overcome three major challenges: scalability, quality and proactive monitoring, and accuracy. The project, dubbed Real-Time Prediction of Intradialytic Hypotension Using Machine Learning and Cloud Computing Infrastructure, has earned Fresenius Medical Care a 2023 CIO 100 Award in IT Excellence.

Artificial Inteligence 200

Artificial Inteligence Analytics Machine Learning Artificial Intelligence 200

CIO

FEBRUARY 14, 2023

AI needs to be incorporated into their systems quickly and seamlessly to provide real-time responses and decisions that meet customer needs. This can only be achieved if the underlying data infrastructure is unified, robust, and efficient. It’s also used to deploy machine learning models, data streaming platforms, and databases.

Artificial Inteligence 174

Artificial Inteligence Strategy Data Machine Learning 174

CIO

JANUARY 6, 2023

Database developers should have experience with NoSQL databases, Oracle Database, big data infrastructure, and big data engines such as Hadoop. It requires a strong ability for complex project management and to juggle design requirements while ensuring the final product is scalable, maintainable, and efficient.

LAN 215

LAN How To Systems Administration Software Engineering 215

CIO

JUNE 19, 2024

Platform engineering: purpose and popularity Platform engineering teams are responsible for creating and running self-service platforms for internal software developers to use. The value proposition of IT will move into providing scalable, reliable platform services as well as IT expertise into those product teams.”

Weak Development Team 208

Weak Development Team Engineering UI/UX Software Development 208

Netflix Tech

MARCH 5, 2019

While our engineering teams have and continue to build solutions to lighten this cognitive load (better guardrails, improved tooling, …), data and its derived products are critical elements to understanding, optimizing and abstracting our infrastructure. Give us a holler if you are interested in a thought exchange.

Infrastructure 74

Infrastructure Scalability Cloud Data 74

Capgemini

NOVEMBER 21, 2024

Democratization of secure, trusted, and ethically managed data will: Act as an accelerator to innovation and industrialization, enabling more extensive use of agile methods Become the single version of the truth to support innovation and industrialization Ensure all data is governed appropriately, even though it is not governed equally.

Data 52

Data Government Innovation Architecture 52

CIO

JULY 29, 2022

For example, if a data team member wants to increase their skills or move to a data engineer position, they can embark on a curriculum for up to two years to gain the right skills and experience. The bootcamp broadened my understanding of key concepts in data engineering.

Groups 147

Groups Development Security Programming 147

CIO

JULY 5, 2023

Casado, who most recently held the position of Repsol’s chief data officer, is now leading the digital program launched in the 2023-2025 framework—a roadmap that emphasizes cutting-edge technologies to meet its business objectives.

Artificial Inteligence 158

Artificial Inteligence Energy Generative AI Strategic Planning 158

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

MAY 13, 2021

Our Choose the Right Stream Processing Engine for Your Data Needs whitepaper makes those comparisons for you, so you can quickly and confidently determine which engine best meets your key business requirements. When evaluating a stream processing engine, consider its processing abstraction capabilities.

Engineering 102

Engineering Comparison Open Source Scalability 102

Honeycomb

APRIL 23, 2025

There is no such thing as a one-size-fits-all solution, and people need to be able to cobble together something that meets their specific needs. Sure, its not that hard to spin up and benevolently ignore an ELK stack but if your reliability, scalability, or availability needs are world-class, thats not good enough.

Weak Development Team 106

Weak Development Team Metrics Storage Engineering 106

CIO

MAY 11, 2023

With a portfolio spanning skill games (RummyCircle), fantasy sports (My11Circle), and casual games (U Games), the company banks firmly on technology to build a highly scalable gaming infrastructure that serves more than 100 million registered users across platforms. The success of a game hinges on meeting the players’ needs and expectations.

Games 103

Games Artificial Inteligence Data Artificial Intelligence 103

CIO

JULY 18, 2023

CIO.com talked to IT leaders across industries about their hardest-to-fill IT roles as well as their best advice for meeting critical talent demands in the years ahead. S&P Global also needs complementary skills in software architecture, multicloud, and data engineering to achieve its AI aims. “It

Technical Advisors 148

Technical Advisors Artificial Inteligence Generative AI How To 148

Cloudera

AUGUST 20, 2021

How CDP Enables and Accelerates Data Product Ecosystems. A multi-purpose platform focused on diverse value propositions for data products. As a result, CDP-enabled data products can meet multiple and varying functional and non-functional requirements that correspond to product attributes, each fulfilling specific customer needs.

Strategy 98

Strategy Data Technical Review Weak Development Team 98

Cloudera

NOVEMBER 28, 2023

Cloudera Private Cloud Data Services is a comprehensive platform that empowers organizations to deliver trusted enterprise data at scale in order to deliver fast, actionable insights and trusted AI. This means you can expect simpler data management and drastically improved productivity for your business users.

Data 84

Data Scalability Analytics Quality Assurance 84

Mentormate

JANUARY 11, 2022

While writing custom code to create a new product or service is often necessary to meet your business requirements, modern low-code or no-code platforms usually provide a viable complement, especially for line-of-business applications. That lack of support leaves the citizen report builders and data scientists with no way to act on that data.

Technical Review 98

Technical Review Trends Off-The-Shelf Software Review 98

Cloudera

SEPTEMBER 9, 2022

analyst Sumit Pal, in “Exploring Lakehouse Architecture and Use Cases,” published January 11, 2022: “Data lakehouses integrate and unify the capabilities of data warehouses and data lakes, aiming to support AI, BI, ML, and data engineering on a single platform.” According to Gartner, Inc.

Architecture 102

Architecture Innovation Data Open Source 102

Altexsoft

JANUARY 14, 2021

The variety of data explodes and on-premises options fail to handle it. Apart from the lack of scalability and flexibility offered by modern databases, the traditional ones are costly to implement and maintain. At the moment, cloud-based data warehouse architectures provide the most effective employment of data warehousing resources.

Backup 115

Backup Azure Software Review Architecture 115

Altexsoft

MARCH 18, 2021

It is the process of collecting raw data from disparate sources, transmitting it to a staging database for conversion, and loading prepared data into a unified destination system. The approach originated in the 1970s when companies started using multiple data repositories for work with different types of business information.

Systems Review 109

Systems Review Technical Review Software Review Big Data 109

Cloudera

FEBRUARY 22, 2022

This unprecedented level of big data workloads hasn’t come without its fair share of challenges. The data architecture layer is one such area where growing datasets have pushed the limits of scalability and performance. Apache Iceberg is a new open table format targeted for petabyte-scale analytic datasets.

Data 110

Data Analytics Travel Disaster Recovery 110

Erik Bernhardsson

JUNE 7, 2014

I strongly believe that data engineers need to understand the full stack from idea, to machine learning algorithm, to code running in production. Then, explain how this position meets or does not meet those criteria. Make the candidate meet the team they will be working with. Everyone has an angle.

Recruiting 102

Recruiting Weak Development Team Data Software Review 102

d2iq

JANUARY 18, 2022

Security: Data privacy and security are often afterthoughts during the process of model creation but are critical in production. It satisfies the organization’s security and compliance requirements, thus minimizing operational friction and meeting the needs of all teams involved in a successful ML project.

Artificial Inteligence 72

Artificial Inteligence Machine Learning AWS Weak Development Team 72

Cloudera

DECEMBER 21, 2020

Data Catalog profilers have been run on existing databases in the Data Lake. A Cloudera Data Warehouse virtual warehouse with Cloudera Data Visualisation enabled exists. A Cloudera Data Engineering service exists. The Data Scientist. The Data Engineer. The KPI is 0.5

Data 97

Data Virtualization Banking Data Engineering 97

Erik Bernhardsson

JUNE 7, 2014

I strongly believe that data engineers need to understand the full stack from idea, to machine learning algorithm, to code running in production. Then, explain how this position meets or does not meet those criteria. Make the candidate meet the team they will be working with. Everyone has an angle.

Recruiting 100

Recruiting Weak Development Team Data Software Review 100

Apiumhub

SEPTEMBER 20, 2023

Tech Conferences Compass Tech Summit – October 5-6 Compass Tech Summit is a remarkable 5-in-1 tech conference, encompassing topics such as engineering leadership, AI, product management, UX, and data engineering that will take place on October 5-6 at the Hungarian Railway Museum in Budapest, Hungary.

Conference 98

Conference Artificial Inteligence UI/UX Machine Learning 98