CIO

SEPTEMBER 14, 2023

What is a data engineer? Data engineers design, build, and optimize systems for data collection, storage, access, and analytics at scale. They create data pipelines that convert raw data into formats usable by data scientists, data-centric applications, and other data consumers.

Data Engineering 203

Data Engineering Analytics Engineering Data 203

CIO

NOVEMBER 1, 2024

Re-platforming to reduce friction Marsh McLellan had been running several strategic data centers globally, with some workloads on the cloud that had sprung up organically. Several co-location centers host the remainder of the firm’s workloads, and Marsh McLellan’s big data centers will go away once all the workloads are moved, Beswick says.

Generative AI 158

Generative AI Technical Advisors Insurance Weak Development Team 158

CIO

OCTOBER 18, 2023

Putting data to work to improve health outcomes “Predicting IDH in hemodialysis patients is challenging due to the numerous patient- and treatment-related factors that affect IDH risk,” says Pete Waguespack, director of data and analytics architecture and engineering for Fresenius Medical Care North America.

Artificial Inteligence 200

Artificial Inteligence Analytics Machine Learning Artificial Intelligence 200

CTOvision

OCTOBER 26, 2015

I'm currently researching big data project management in order to better understand what makes big data projects different from other tech related projects. So far I've interviewed more than a dozen government, private sector, and academic professionals, all of them experienced in managing data intensive projects.

Project Management 120

Project Management Big Data Data Government 120

CIO

MARCH 13, 2025

Hes seeing the need for professionals who can not only navigate the technology itself, but also manage increasing complexities around its surrounding architectures, data sets, infrastructure, applications, and overall security. Now the company is building its own internal program to train AI engineers.

Part-Time VPE 205

Part-Time VPE Weak Development Team Fractional VPE Fractional CTO 205

TechCrunch

DECEMBER 9, 2020

For many organizations, the shift to cloud computing has played out more realistically as a shift to hybrid architectures, where a company’s data is just as likely to reside in one of a number of clouds as it might in an on-premise deployment, in a data warehouse or in a data lake.

Data 253

Data Big Data Analytics Enterprise 253

CIO

APRIL 1, 2025

Cohesive, structured data is the fodder for sophisticated mathematical models that generates insights and recommendations for organizations to take decisions across the board, from operations to market trends. But with big data comes big responsibility, and in a digital-centric world, data is coveted by many players.

Data 88

Data Authentication Compliance Artificial Inteligence 88

Altexsoft

MARCH 16, 2021

In this article, we will explain the concept and usage of Big Data in the healthcare industry and talk about its sources, applications, and implementation challenges. What is Big Data and its sources in healthcare? So, what is Big Data, and what actually makes it Big? Let’s see where it can come from.

Big Data 116

Big Data Healthcare Applications Data 116

CIO

OCTOBER 13, 2023

The data architect also “provides a standard common business vocabulary, expresses strategic requirements, outlines high-level integrated designs to meet those requirements, and aligns with enterprise strategy and related business architecture,” according to DAMA International’s Data Management Body of Knowledge.

Data 199

Data Data Engineering Database Administration Artificial Inteligence 199

Dell EMC

MAY 28, 2020

About 20 years ago, I started my journey into data warehousing and business analytics. Over all these years, it’s been interesting to see the evolution of big data and data warehousing, driven by the rise of artificial intelligence and widespread adoption of Hadoop. READ MORE.

Big Data 103

Big Data Data Artificial Inteligence Artificial Intelligence 103

CIO

MARCH 9, 2022

Applying artificial intelligence (AI) to data analytics for deeper, better insights and automation is a growing enterprise IT priority. But the data repository options that have been around for a while tend to fall short in their ability to serve as the foundation for big data analytics powered by AI.

Artificial Inteligence 178

Artificial Inteligence Data Artificial Intelligence Analytics 178

TechCrunch

SEPTEMBER 27, 2021

As more enterprises migrate to cloud-based architectures, they are also taking on more applications (because they can) and, as a result of that, more complex workloads and storage needs. Firebolt raises $127M more for its new approach to cheaper and more efficient Big Data analytics.

Artificial Inteligence 246

Artificial Inteligence Applications Cloud Artificial Intelligence 246

Perficient

NOVEMBER 17, 2024

Datasphere empowers organizations to unify and analyze their enterprise data landscape without the need for complex extraction or rebuilding processes. This blog explores the key features of SAP Datasphere and Databricks, their complementary roles in modern data architectures, and the business value they deliver when integrated.

Artificial Inteligence 59

Artificial Inteligence Machine Learning Architecture Analytics 59

O'Reilly Media - Ideas

FEBRUARY 11, 2019

Highlights and use cases from companies that are building the technologies needed to sustain their use of analytics and machine learning. In a forthcoming survey, “Evolving Data Infrastructure,” we found strong interest in machine learning (ML) among respondents across geographic regions. Temporal data and time-series analytics.

Big Data 108

Big Data Technology Tools Cloud 108

Altexsoft

MAY 14, 2021

Big Data enjoys the hype around it and for a reason. But the understanding of the essence of Big Data and ways to analyze it is still blurred. This post will draw a full picture of what Big Data analytics is and how it works. Big Data and its main characteristics.

Big Data 78

Big Data Analytics Tools Applications 78

Hacker Earth Developers Blog

JANUARY 31, 2020

Primarily, his thought leadership is focused on leveraging Big Data, Machine Learning, and Data Science to drive and enhance an organization’s business, address business challenges, and lead innovation. Furthermore, he has authored Neural Network Architectures for Artificial Intelligence. Dr. Fei-Fei Li. Follow @drfeifei.

Artificial Inteligence 362

Artificial Inteligence Machine Learning Artificial Intelligence Technical Advisors 362

Hacker Earth Developers Blog

JANUARY 31, 2020

Primarily, his thought leadership is focused on leveraging Big Data, Machine Learning, and Data Science to drive and enhance an organization’s business, address business challenges, and lead innovation. Furthermore, he has authored Neural Network Architectures for Artificial Intelligence. Dr. Fei-Fei Li. Follow @drfeifei.

Artificial Inteligence 362

Artificial Inteligence Machine Learning Artificial Intelligence Technical Advisors 362

TechCrunch

OCTOBER 18, 2021

Organizations that have made the leap into using big data to drive their business are increasingly looking for better, more efficient ways to share data with others without compromising privacy and data protection laws, and that is ushering in a rush of technologists building a number of new approaches to fill that need.

Enterprise 340

Enterprise Data Blockchain Healthcare 340

Cloudera

SEPTEMBER 24, 2021

One of the most substantial big data workloads over the past fifteen years has been in the domain of telecom network analytics. The Dawn of Telco Big Data: 2007-2012. Suddenly, it was possible to build a data model of the network and create both a historical and predictive view of its behaviour.

Analytics 96

Analytics Network Innovation Open Source 96

Altexsoft

JUNE 7, 2021

Hadoop and Spark are the two most popular platforms for Big Data processing. They both enable you to deal with huge collections of data no matter its format — from Excel tables to user feedback on websites to images and video files. Which Big Data tasks does Spark solve most effectively? How does it work?

Big Data 98

Big Data Tools Data Storage 98

Altexsoft

JANUARY 22, 2020

As a result, it became possible to provide real-time analytics by processing streamed data. Please note: this topic requires some general understanding of analytics and data engineering, so we suggest you read the following articles if you’re new to the topic: Data engineering overview. Batch processing.

Analytics 20

Analytics Data IoT Analysis 20

CIO

JANUARY 6, 2023

But 86% of technology managers also said that it’s challenging to find skilled professionals in software and applications development, technology process automation, and cloud architecture and operations. Cloud engineers should have experience troubleshooting, analytical skills, and knowledge of SysOps, Azure, AWS, GCP, and CI/CD systems.

LAN 215

LAN Systems Administration How To Software Engineering 215

Cloudera

JULY 9, 2019

Today, much of that speed and efficiency relies on insights driven by big data. Yet big data management often serves as a stumbling block, because many businesses continue to struggle with how to best capture and analyze their data. Unorganized data presents another roadblock.

Big Data 78

Big Data Data Agile Enterprise 78

Cloudera

AUGUST 3, 2021

Advanced analytics empower risk reduction . Advanced analytics and enterprise data are empowering several overarching initiatives in supply chain risk reduction – improved visibility and transparency into all aspects of the supply chain balanced with data governance and security. . Open source solutions reduce risk.

Analytics 111

Analytics Open Source Government Machine Learning 111

TechCrunch

APRIL 29, 2021

.” Washington, DC-based RapidDeploy provides data and analytics to 911 centers — the critical link between people calling for help and connecting those calls with the nearest medical, police or fire assistance — and today it has about 700 customers using its RadiusPlus, Eclipse Analytics and Nimbus CAD products.

Cloud 232

Cloud Unified Communications Analytics Big Data 232

CIO

AUGUST 18, 2022

Previously, Walgreens was attempting to perform that task with its data lake but faced two significant obstacles: cost and time. Those challenges are well-known to many organizations as they have sought to obtain analytical knowledge from their vast amounts of data. Trading teams wanted to collaborate, but data was scattered.

Data 210

Data Technical Advisors Technical Review Artificial Inteligence 210

Cloudera

SEPTEMBER 6, 2022

Data has continued to grow both in scale and in importance through this period, and today telecommunications companies are increasingly seeing data architecture as an independent organizational challenge, not merely an item on an IT checklist. Why telco should consider modern data architecture. The challenges.

Telecommunications 84

Telecommunications Architecture Data Government 84

Dell EMC

FEBRUARY 18, 2020

With the new Dell EMC HPC Ready Architecture for Artificial Intelligence and Data Analytics, you can now run AI, data analytics and HPC workloads on a single system. In today’s marketplaces, competitive advantage increasingly goes to the data?driven driven enterprise.

Analytics 102

Analytics Artificial Inteligence Artificial Intelligence System 102

Confluent

SEPTEMBER 26, 2019

Leveraging Rockset , a scalable SQL search and analytics engine based on RocksDB , and in conjunction with BI and analytics tools, we’ll examine a solution that performs interactive, real-time analytics on top of Apache Kafka and also show a live monitoring dashboard example with Redash.

Analytics 21

Analytics Serverless Blockchain Microservices 21

CIO

NOVEMBER 28, 2023

Still, to truly create lasting value with data, organizations must develop data management mastery. This means excelling in the under-the-radar disciplines of data architecture and data governance. And here is the gotcha piece about data. And what do enterprises gain from that?

Data 197

Data Artificial Inteligence Artificial Intelligence Architecture 197

TechCrunch

DECEMBER 1, 2020

DevOps continues to get a lot of attention as a wave of companies develop more sophisticated tools to help developers manage increasingly complex architectures and workloads. “Users didn’t know how to organize their tools and systems to produce reliable data products.” million. . ” Not a great scenario.

Tools 214

Tools Data Weak Development Team Big Data 214

TechCrunch

NOVEMBER 15, 2022

Jordan Tigani — a founding engineer at Google BigQuery, Google’s fully managed data analysis platform — was working as the chief product officer at SingleStore when he noticed that the vast majority of database workloads were small (less than 10GB in size) and low-bandwidth.

Analytics 182

Analytics Open Source Systems Review Nonprofit 182

OverOps

APRIL 23, 2019

The main features of a hybrid cloud architecture can be narrowed down into the following: An organization’s on-premises data center, public and private cloud resources and workloads are bound together using conventional data management, while at the same time, staying separate. Increased Architectural Flexibility.

Cloud 189

Cloud Data Center Architecture AWS 189

CIO

AUGUST 5, 2022

Key data visualization benefits include: Unlocking the value big data by enabling people to absorb vast amounts of data at a glance. Identifying errors and inaccuracies in data quickly. Dundas BI: Dundas BI is a BI platform for visualizing data, building and sharing dashboards and reports, and embedding analytics.

Data 214

Data Analytics Travel Business Intelligence 214

Altexsoft

AUGUST 25, 2020

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.

Big Data 75

Big Data Data Engineering Engineering Data 75

Altexsoft

APRIL 23, 2019

And these data channels serve as a pair of eyes for executives, supplying them with the analytical information of what is going on with a business and the market. Data warehouse. Online analytical processing cubes. Data marts. Business intelligence and predictive analytics. Predictive analytics.

Business Intelligence 93

Business Intelligence Analytics Tools Strategy 93

TechCrunch

APRIL 5, 2022

Data.World, which today announced that it raised $50 million in Series C funding led by Goldman Sachs, looks to leverage cloud-based tools to deliver data discovery, data governance and big data analytics features with a corporate focus.

Enterprise 249

Enterprise Organization Data Government 249