article thumbnail

Data analytics: your complete guide to big data consulting

Agile Engine

From emerging trends to hiring a data consultancy, this article has everything you need to navigate the data analytics landscape in 2024. What is a data analytics consultancy? Big data consulting services 5. 4 types of data analysis 6. Data analytics use cases by industry 7. Table of contents 1.

article thumbnail

Cray Targets Enterprise Big Data with New Open Agile Analytics System

CTOvision

has announced the launch of the Cray® Urika®-GX system -- the first agile analytics platform that fuses supercomputing technologies with an open, enterprise-ready software framework for big data analytics. The Cray Urika-GX system is designed to eliminate challenges of big data analytics.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

Big Data Project Management: What’s In & What’s Out?

CTOvision

Here’s something to think about when you're planning a big data project: are you planning a project or a program ? Relatively self-contained big data projects may be tied to an ongoing process or program that is already developing or delivering a product or service. A program is something ongoing and relatively permanent.

Big Data 118
article thumbnail

Global Software Architecture Summit 2022 Recap

Apiumhub

On October 3-4 we organized and hosted the Global Software Architecture Summit in Barcelona. This year the event was focused on Software Architecture Metrics as they are key to the maintainability and architectural quality of a software project. Attendees Profiles.

article thumbnail

Big Data Engineer: Role, Responsibilities, and Job Description

Altexsoft

Big data can be quite a confusing concept to grasp. What to consider big data and what is not so big data? Big data is still data, of course. Big data is tons of mixed, unstructured information that keeps piling up at high speed. Data engineering vs big data engineering.

article thumbnail

Creating an Agile BI infrastructure with Data Virtualization

Data Virtualization

Reading Time: 3 minutes One of the biggest challenges for organizations is to integrate data from various sources. Despite modern advancements such as big data technologies and cloud, data often ends up in organized silos, but this means that cloud data is separated from.

article thumbnail

Data Lake Architecture: An Intro Guide To Using Data Lakes

CloudZero

Big data empowers enterprises to uncover valuable insights from it and make sound business decisions. However, limited data access acts as a barrier to innovation. Traditional databases with their carefully controlled schemas and lack of agility are proving inadequate in meeting the needs of data-hungry businesses.

Data 98