Datavail

OCTOBER 29, 2019

Businesses of all sizes and industries are hungry both for big data and for the digital technologies that convert it into intelligent, valuable insights. Competition in the big data space is fierce, and trends are changing fast. Keep reading for our analysis of Data Trend #1: Data Management is Still Hard.

Big Data 40

Big Data Trends Data Business Intelligence 40

CTOvision

OCTOBER 18, 2013

In March 2011 Businessweek quoted Cloudera’s Mike Olson describing a “Cambrian explosion” of corporate analytical technology. H2O by 0xdata brings better algorithms to big data. With H2O enterprises can use all of their data (instead of sampling) in real-time for better predictions.

Technical Review 99

Technical Review Analytics Technology Big Data 99

CIO

MARCH 27, 2024

Le aziende italiane investono in infrastrutture, software e servizi per la gestione e l’analisi dei dati (+18% nel 2023, pari a 2,85 miliardi di euro, secondo l’Osservatorio Big Data & Business Analytics della School of Management del Politecnico di Milano), ma quante sono giunte alla data maturity?

ChatGPT 130

ChatGPT Government Artificial Inteligence Business Intelligence 130

CTOvision

FEBRUARY 10, 2015

Hitachi Data Systems Announces Intent to Acquire Pentaho to Deliver More Value From Big Data and the Internet of Things That Matter. Acquisition delivers data integration, business analytics expertise, and foundational technologies that accelerate big data value.

System 114

System Data Big Data Business Analytics 114

CTOvision

JANUARY 26, 2015

Dive Into The Pentaho Agile Business Analytics & Data Integration Platform in Action. This brief product demo will show why more and more organizations of all sizes are turning to Pentaho to seamlessly deliver deep BI insights, quickly connect to any data source, & unlock the full potential of big data.

Big Data 103

Big Data Business Analytics Analytics Agile 103

CTOvision

DECEMBER 19, 2013

This very open approach works well with all other enterprise capabilities and is key for getting data ready for analytics. The Pentaho platform also includes a business analytics server with an analytics engine, a reporting engine and a data integration engine.

Architecture 107

Architecture Big Data Business Analytics Analytics 107

Hu's Place - HitachiVantara

JUNE 12, 2018

CRN, Computer Reseller News, a leading trade magazine, has named Hitachi Vantara as one of the 30 Coolest Business Analytics Vendors. CRN recognizes that Hitachi Vantara is able to provide, “ cloud, Internet of Things, big data, and business analytics products under one roof.”

Business Analytics 40

Business Analytics Analytics Big Data IoT 40

Apiumhub

APRIL 6, 2021

You will often learn some new concepts and actionable tips to enhance your data science and machine learning skills. Data Science Central Data Science Central acts as an online resource hub for just about everything related to data science and big data.

Technical Review 52

Technical Review Data Artificial Inteligence Software Review 52

Datavail

APRIL 6, 2021

Cloud computing has gone from being a cutting-edge technology to a well-established best practice for businesses of all sizes and industries. According to Flexera’s 2020 State of the Cloud Report , 98 percent of organizations are now using at least one public or private cloud. Oracle Analytics Cloud. Oracle Data Cloud.

Cloud 97

Cloud Disaster Recovery Artificial Inteligence Artificial Intelligence 97

Hu's Place - HitachiVantara

JUNE 20, 2018

In my last blog post I commented on Hitachi Vantara’s selection as one of the “ Coolest Business Analytics vendors” by CRN, Computer Reseller News, and expanded on Hitachi Vantara’s business analytics capabilities. In this post I will be expanding on how we address the rest of the big data pyramid.

Big Data 49

Big Data Business Analytics Data Center Analytics 49

CTOvision

NOVEMBER 21, 2014

The video at this link and embedded below features Paytronix President Andrew Robbins in a discussion of big data. Data Insights provides restaurants and retailers with the tools and services to synthesize data from all these sources, including big data sources, to help uncover actionable guest insights.

Big Data 105

Big Data Analysis Storage Business Analytics 105

CTOvision

FEBRUARY 25, 2014

The point to me is that Pentaho’s comprehensive approach to data integration and business analytics has been designed for continual improvement. With Pentaho processing data begins when it arrives from the source and delivers valuable data sets immediately. Leverage Existing Data Transformations.

Big Data 102

Big Data Open Source Business Analytics Analytics 102

CTOvision

FEBRUARY 4, 2015

If you are into technology and government and want to find ways to enhance your ability to serve big missions you need to be at this event, 25 Feb at the Hilton McLean Tysons Corner. Big data and its effect on the transformative power of data analytics are undeniable. Enabling Business Results with Big Data.

Fractional CTO 134

Fractional CTO Technical Review Big Data Analytics 134

Gorilla Logic

MAY 19, 2021

Monetize data with technologies such as artificial intelligence (AI), machine learning (ML), blockchain, advanced data analytics , and more. Not surprisingly, the skill sets companies need to drive significant enterprise software builds, such as big data and analytics, cybersecurity, and AI/ML, are among the most competitive.

Software Review 94

Software Review Technical Review Software Development Team Review 94

Hu's Place - HitachiVantara

MAY 10, 2019

DataOps is required to engineer and prepare the data so that the machine learning algorithms can be efficient and effective. A 2016 CyberSource report claimed that over 90% of online fraud detection platforms use transaction rules to detect suspicious transactions which are then directed to a human for review.

Data 90

Data Artificial Inteligence Machine Learning Weak Development Team 90

Cloudera

JANUARY 5, 2021

Consolidated Inventory & Sales Data — Build an enterprise view of sales and inventory across all channels. Retail supply chains are a recognized and proven source of ROI when data analytics are leveraged to improve forecast accuracy and product availability.

Agile 92

Agile Retail Analytics Enterprise 92

Altexsoft

SEPTEMBER 6, 2018

Data science and artificial intelligence are hot media topics. An expert talking about the capabilities of predictive analytics for business on a morning TV show is far from unusual. Articles covering AI or data science in Facebook and LinkedIn appear regularly, if not daily. Big data analysis.

Company 63

Company Off-The-Shelf Data Software Review 63

CTOvision

JANUARY 18, 2015

This popular gathering is designed to enable dialogue about business and technical strategies to leverage today’s big data platforms and applications to your advantage. Big data and its effect on the transformative power of data analytics are undeniable. Enabling Business Results with Big Data.

Fractional CTO 113

Fractional CTO Program Management Programming Big Data 113

CIO

JANUARY 20, 2023

Business intelligence definition Business intelligence (BI) is a set of strategies and technologies enterprises use to analyze business information and transform it into actionable insights that inform strategic and tactical business decisions.

Business Intelligence 353

Business Intelligence Data Business Analytics Analytics 353

Datavail

JUNE 6, 2019

Companies of all sizes and industries are hungry for business insights, and they’re willing to pay big bucks to get them. According to forecasts by market intelligence firm IDC, global revenues for big data and analytics solutions will hit $260 billion by 2022 , with a compound annual growth rate of 12 percent.

Tools 75

Tools Artificial Inteligence Analytics Artificial Intelligence 75

CTOvision

OCTOBER 22, 2014

Educators have long held new technology at arm’s length, and … Read more on The Hechinger Report. Pentaho, Cloudera Executives See Bigger Data Opportunities. Cloudera , Red Hat make enterprise big data pact. IBM, Pentaho make the case for a big data refinery. Read more on opensource.com.

Technical Review 108

Technical Review Technology Software Review 3D 108

Kaseya

MAY 13, 2021

In addition, you can also take advantage of the reliability of multiple cloud data centers as well as responsive and customizable load balancing that evolves with your changing demands. In addition, Azure is well-equipped to scale up or down, depending on the changing needs of your business. Analytics and Intelligence Capabilities.

Google Cloud 122

Google Cloud Azure AWS Cloud 122

Cloudera

MAY 27, 2021

Big data and AI amplify the problem. “If Big data algorithms are smart, but not smart enough to solve inherently human problems. An especially problematic example of unintended consequences involves the use of big data in trial sentencing. If y ou have good intentions, you can make it very good.

Artificial Inteligence 119

Artificial Inteligence Artificial Intelligence Technical Review Systems Review 119

Altexsoft

FEBRUARY 8, 2021

These challenges can be addressed by intelligent management supported by data analytics and business intelligence (BI) that allow for getting insights from available data and making data-informed decisions to support company development. Optimization opportunities offered by analytics.

Business Intelligence 87

Business Intelligence Analytics Analysis Data 87

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 258

Artificial Inteligence Data Artificial Intelligence Analytics 258

The Kini Group

APRIL 3, 2017

One of the more unpleasant and disappointing aspects of big data is how often it’s rendered completely useless. The truth is that big data is useless without value-driving applications. You need analytics to make sense of everything. And analytics can never be a one-off project. Why did it happen?

Big Data 40

Big Data Analytics Data Technical Review 40

Datavail

AUGUST 6, 2020

Analytics is the process of turning raw data into valuable business insights through quantitative and statistical methods. There are three ways of classifying business analytics methods according to their use case: Descriptive methods examine historical data to identify meaningful trends and patterns.

Analytics 52

Analytics Cloud Disaster Recovery Business Analytics 52

Cloudera

NOVEMBER 18, 2020

It hosts over 150 big data analytics sandboxes across the region with over 200 users utilizing the sandbox for data discovery. With this functionality, business units can now leverage big data analytics to develop better and faster insights to help achieve better revenues, higher productivity, and decrease risk. .

Data 123

Data Analytics Banking Big Data 123

CTOvision

JULY 25, 2016

(Nasdaq: CRAY), the global supercomputing leader, introduced today the first commercially available high-speed, supercomputing threat analytics service, Cyber Reconnaissance and Analytics. What do you look like to your adversary?” Dynamic interconnections among entities (e.g.,

Technical Review 61

Technical Review Analytics Weak Development Team Big Data 61

The Cipher Brief

SEPTEMBER 20, 2020

The IC can get those insights by leveraging business analytics—already widely used in the corporate world—to transform the way it performs its mission. Today’s IC lacks foundational mechanisms and data to effectively meet the needs of its customers. At the macro level, the problem is even more pronounced. The result is stark.

Business Analytics 56

Business Analytics Analytics Metrics Technical Review 56

Cloudera

NOVEMBER 2, 2020

The capabilities that more and more customers are asking for are: Analytics on live data AND recent data AND historical data. Correlations across data domains, even if they are not traditionally stored together (e.g. The extreme scale of “big data”, but with the feel and semantics of “small data”.

Data 97

Data Analytics Storage Big Data 97

Mobilunity

NOVEMBER 24, 2021

The demand for specialists who know how to process and structure data is growing exponentially. In most digital spheres, especially in fintech, where all business processes are tied to data processing, a good big data engineer is worth their weight in gold. Who Is an ETL Engineer? Time-Efficiency.

Development 52

Development Storage Recruiting Architecture 52

Altexsoft

JANUARY 24, 2020

At the same time, data from CompTIA shows that IT pros in Atlanta get a median salary of $91,209 annually, which is almost $3,000 more than the US annual median wage. According to the CompTIA report , the following IT services are best represented in the Atlanta Metro Area. CompTIA Tech Town Index 2019. Source: CompTIA. Cybersecurity.

Education 99

Education Analytics Recruiting Programming 99

Altexsoft

JANUARY 14, 2021

A data warehouse is often abbreviated as DW or DWH. You may also find it under the name of an enterprise data warehouse (EDW). It is usually created and used primarily for data reporting and analysis purposes. As such, it is possible to retrieve old archived data if needed. Data warehouse architecture.

Backup 115

Backup Azure Software Review Systems Review 115

Altexsoft

NOVEMBER 23, 2021

But this data is all over the place: It lives in the cloud, on social media platforms, in operational systems, and on websites, to name a few. Not to mention that additional sources are constantly being added through new initiatives like big data analytics , cloud-first, and legacy app modernization.

Virtualization 69

Virtualization Tools Data Architecture 69

Altexsoft

FEBRUARY 3, 2020

This is only one but a very important parameter that proves the power of big data in modern business operations. The only way to exploit huge information bases is to use data analytics platforms. Data Analytics Definition, Stats, and Benefits. Data Analytics Definition, Stats, and Benefits.

Analytics 87

Analytics Tools Data Artificial Inteligence 87

O'Reilly Media - Ideas

SEPTEMBER 11, 2019

Machine learning, artificial intelligence, data engineering, and architecture are driving the data space. The Strata Data Conferences helped chronicle the birth of big data, as well as the emergence of data science, streaming, and machine learning (ML) as disruptive phenomena. The term “ML” is No.

Conference 8

Conference Data Data Engineering Artificial Inteligence 8