TechCrunch

JANUARY 26, 2022

Israeli startup Firebolt has been taking on Google’s BigQuery, Snowflake and others with a cloud data warehouse solution that it claims can run analytics on large datasets cheaper and faster than its competitors. Another sign of its growth is a big hire that the company is making. billion valuation.

Analytics 218

Analytics Data Big Data Business Intelligence 218

CIO

AUGUST 9, 2022

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 used by data scientists, data-centric applications, and other data consumers. Data engineer job description.

Data Engineering 326

Data Engineering Analytics Engineering Data 326

CIO

JANUARY 19, 2024

Whether you’re looking to earn a certification from an accredited university, gain experience as a new grad, hone vendor-specific skills, or demonstrate your knowledge of data analytics, the following certifications (presented in alphabetical order) will work for you. Not finding what you’re looking for?

Artificial Inteligence 313

Artificial Inteligence Data Machine Learning Azure 313

CIO

OCTOBER 13, 2023

Data architect role Data architects are senior visionaries who translate business requirements into technology requirements and define data standards and principles, often in support of data or digital transformations. Data architects are frequently part of a data science team and tasked with leading data system projects.

Data 329

Data Database Administration Data Engineering Artificial Inteligence 329

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. Machine learning and other artificial intelligence applications add even more complexity.

Artificial Inteligence 246

Artificial Inteligence Applications Cloud Artificial Intelligence 246

TechCrunch

FEBRUARY 26, 2021

Jeremy Levy is CEO and co-founder of Indicative , a product analytics platform for product managers, marketers and data analysts. Enterprises Don’t Have Big Data, They Just Have Bad Data. Successful enterprises make this evaluation an ongoing exercise. More posts by this contributor.

Analytics 226

Analytics Marketing B2C B2B 226

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

O'Reilly Media - Data

AUGUST 16, 2018

The deployment of big data tools is being held back by the lack of standards in a number of growth areas. Technologies for streaming, storing, and querying big data have matured to the point where the computer industry can usefully establish standards. Applications cannot swap storage engines if needed.

Big Data 126

Big Data Data Storage Azure 126

Cloudera

JUNE 13, 2023

Data and analytics are the essential engines in this strategy which entails upgrading the bank’s core banking technology to deliver reliable, efficient, and secure services for their customers while safeguarding critical data. The approach offered lower risks and allowed for comprehensive platform and application testing.

Analytics 80

Analytics Data Banking Big Data 80

CTOvision

MAY 30, 2014

DigitalGlobe’s Insight business (based in Herndon, VA) is focused on delivering advanced geospatial analytic solutions that help its customers save lives, resources, and time. DigitalGlobe calls this effort Geospatial Big Data Analytics. It is making Geospatial Big Data Analytic solutions available to U.S.

Big Data 113

Big Data Analytics Data Government 113

CIO

JUNE 19, 2024

Artificial intelligence (AI), big data, and high-performance computing have shifted the digital landscape in many ways, particularly in the area of data growth and storage. As we rely more on technology, the surge in the volume of data presents new challenges in existing infrastructures.

SMB 301

SMB Data Center Backup Storage 301

Hu's Place - HitachiVantara

MAY 30, 2019

Just a few years ago, MapR was considered one of the Unicorns (startups that were valued at a billion dollars or more) in the Big Data Analytics market which is a booming market. MarketWatch estimates that the global big data market is expected to grow at a CAGR of 22.4%

Big Data 40

Big Data Analytics Marketing Data 40

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 358

LAN Systems Administration How To Software Engineering 358

DevOps.com

MAY 28, 2021

Software product managers and developers typically treat analytics as a standalone capability—something to be integrated into their application’s dashboard or reporting module. As a product feature, analytics is undoubtedly a valuable tool. When data analytics is […].

Analytics 65

Analytics Enterprise Product Management Report 65

OTS Solutions

AUGUST 16, 2023

In this article, we will explore the role of AI and ML in application modernization and why businesses must embrace these technologies to remain competitive in the digital marketplace. AI and ML are transforming the way applications are developed and optimized. How and Where AI and ML Used in Application Modernization 1.

Artificial Inteligence 130

Artificial Inteligence Applications Artificial Intelligence Machine Learning 130

OTS Solutions

AUGUST 16, 2023

In this article, we will explore the role of AI and ML in application modernization and why businesses must embrace these technologies to remain competitive in the digital marketplace. AI and ML are transforming the way applications are developed and optimized. How and Where AI and ML Used in Application Modernization 1.

Artificial Inteligence 130

Artificial Inteligence Applications Artificial Intelligence Machine Learning 130

Dell EMC

SEPTEMBER 11, 2018

It’s a big data boom with Ready Solutions for Big Data It has taken years, but big data analytics has evolved from the latest IT buzzword into a core part of the enterprise. READ MORE.

Big Data 83

Big Data Data Analytics Enterprise 83

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.

Big Data 120

Big Data Project Management Data Government 120

CIO

OCTOBER 26, 2023

Business intelligence (BI) analysts transform data into insights that drive business value. Business intelligence analyst job requirements BI analysts typically handle analysis and data modeling design using data collected in a centralized data warehouse or multiple databases throughout the organization.

Business Intelligence 313

Business Intelligence Technical Review Data Systems Review 313

Hu's Place - HitachiVantara

JUNE 11, 2019

The global big data market is expected to grow at a CAGR of 22.4% Data analytics is expected to be the key driver for this market. However, the stocks of big data analytics vendors have been tanking in a way that is reminiscent of the dot com bust. So, what is happening?

Big Data 63

Big Data Analytics Cloud Data 63

CTOvision

SEPTEMBER 21, 2015

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

Big Data Project Management Data Technical Review 118

DevOps.com

NOVEMBER 10, 2022

From Twitter and Netflix to Salesforce and Confluent, modern analytics applications are being built by developers across the world’s leading digital businesses to create digital tools that serve real-time analytics to hundreds or even thousands of concurrent users. In particular, why […].

Analytics 107

Analytics Data Technology Applications 107

Mobilunity

AUGUST 3, 2021

Big Data is a collection of data that is large in volume but still growing exponentially over time. It is so large in size and complexity that no traditional data management tools can store or manage it effectively. While Big Data has come far, its use is still growing and being explored.

Big Data 52

Big Data Data Engineering Engineering Data 52

Newgen Software

FEBRUARY 6, 2024

Organizations need to transition towards a digital business ecosystem that uses data and analytics as a tactical weapon. This requires significant adaption in organizational culture, one that is driven by a data strategy and supported by a robust Business Process Management (BPM) based analytics platform. Why Analytics?

Analytics 52

Analytics Analysis Organization System 52

CIO

MAY 16, 2024

The high-end organic produce and fresh meats distributor envisions IT — analytics and AI, specifically — as the key to more efficient distribution logistics and five-star customer experience. What attracted me to come here is I’ve done a lot of enterprise work but the growth in this industry is going to be tremendous.”

Artificial Inteligence 258

Artificial Inteligence IoT Transportation Analytics 258

CTOvision

JUNE 3, 2015

There’s a closer relationship between big data and the IoT than most people realize – almost as if they were made for one another. Today, we’re going to talk about the Internet of Things and Big Data. There’s a reason more enterprises aren’t already tapping into IoT. See for yourself. . Bear with me here.

Big Data 123

Big Data Internet Technical Review IoT 123

CIO

MARCH 24, 2023

The Business Application Research Center (BARC) warns that data governance is a highly complex, ongoing program, not a “big bang initiative,” and it runs the risk of participants losing trust and interest over time. As a practice, it is about establishing systematic, formal control over these processes and responsibilities.

Government 357

Government Data Technical Review Policies 357

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. AI and machine learning in the enterprise.

Big Data 85

Big Data Technology Tools Cloud 85

CIO

OCTOBER 13, 2023

In the next six to 12 months, some of the most popular anticipated uses for gen AI include content creation (42%), data analytics (53%), software development (41%), business insight (51%), internal customer support (45%), product development (40%), security (42%), and process automation (51%).

Generative AI 359

Generative AI Company Artificial Inteligence Machine Learning 359

CTOvision

APRIL 29, 2016

As a supercomputer maker, Cray has been delivering the massive analytic processing power required by scientists and engineers for the last 40 years. Today, they've harnessed those decades of know-how in their data analytics and data discovery solutions. Urika ® -XA Extreme Analytics Platform. Related articles.

Big Data 61

Big Data Data Analytics Architecture 61

CTOvision

MAY 23, 2014

We previously wrote about the Pentaho Big Data Blueprints series, which include design packages of use to enterprise architects and other technologists seeking operational concepts and repeatable designs. Save data costs and boost analytics performance. An intuitive graphical, no-coding big data integration.

Big Data 119

Big Data Data Storage Architecture 119

Cloudera

FEBRUARY 7, 2019

A key pillar in the transformation journey is focused on robust data operations that can help ATB deliver timely, relevant and delightful service. The company sought a data management platform that would allow its enterprise to handle greater data variety, velocity and volume in a cost-effective manner.

Big Data 68

Big Data Analytics Google Cloud Cloud 68

Cloudera

OCTOBER 5, 2020

Cloudera Data Platform Powered by NVIDIA RAPIDS Software Aims to Dramatically Increase Performance of the Data Lifecycle Across Public and Private Clouds. This exciting initiative is built on our shared vision to make data-driven decision-making a reality for every business. without any code changes.

Enterprise 95

Enterprise Cloud Data Artificial Inteligence 95

CTOvision

JULY 9, 2014

The term “Big Data” has become synonymous with this evolution. But still, many of our customers continue to ask, “What is Big Data?”, “What are its use cases?”, What is Big Data? The data is too big, moves too fast, or does not fit the structures of your database architectures.

Big Data 114

Big Data Data CTO Fractional CTO 114

OTS Solutions

AUGUST 30, 2018

How enterprise mobile apps development changing IT strategy. 2018 is a year where you are going to witness a change in enterprise mobile apps development, thanks to the current trends in hybrid cloud, container infrastructure, blockchain, and DevOps. The progression of blockchain in enterprises. billion by the year 2021.

Mobile 100

Mobile Enterprise Strategy Blockchain 100

O'Reilly Media - Ideas

FEBRUARY 4, 2019

In a recent survey , we explored how companies were adjusting to the growing importance of machine learning and analytics, while also preparing for the explosion in the number of data sources. have been in use at enterprises across the globe for several years. Temporal data and time-series. Deep Learning.

Artificial Inteligence 111

Artificial Inteligence Artificial Intelligence Machine Learning Enterprise 111

CTOvision

SEPTEMBER 5, 2013

My friend the highly regarded enterprise thinker Chris Hill of Splunk pointed me to a 9 May 2013 press release that outlines a strategic alliance between Splunk and Cloudera that I should have highlighted here long ago. Splunk and Cloudera Ink Strategic Alliance to Bring Together Big Data Expertise.

Big Data 105

Big Data Data Analytics Open Source 105