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

CTOvision

APRIL 6, 2015

Here is more: Enterprises in government are awash in more data than they can make sense of. This has given rise to the current “Big Data” phenomenon, in which opportunities for turning data into knowledge using analytics calls for new solutions.

Government 113

Government Business Analytics Big Data Architecture 113

CTOvision

MARCH 14, 2014

By Michael Johnson For enterprise technology decision-makers, functionality, interoperability, scalability security and agility are key factors in evaluating technologies. Pentaho Announces Record Year in 2013 with 83% Growth in Big Data and Embedded Analytics. The introduction of Pentaho Business Analytics 5.0

Big Data 107

Big Data Business Analytics Analytics Business Intelligence 107

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

SEPTEMBER 8, 2014

Successfully deploying Hadoop as a core component or enterprise data hub within a symbiotic and interconnected big data ecosystem; integrating with existing relational data warehouse(s), data mart(s), and analytic systems, and supporting a wide range of user groups with different needs, skill sets, and workloads.

Fractional CTO 105

Fractional CTO CTO Software Review Technical Review 105

Newgen Software

FEBRUARY 6, 2024

Analytics can help organizations make effective use of this information by bringing in new capabilities and transform existing capabilities of an enterprise. Process driven analytics uses descriptive, diagnostic, predictive and prescriptive analytical capabilities to convert big data into consumable bits of information.

Analytics 52

Analytics Analysis Organization System 52

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

CTOvision

OCTOBER 20, 2014

Pentaho helps to automate common big data use cases with the following additions: PDI step to auto-generate an analysis model from an analytical database output. PDI step to publish the model, creating a Pentaho Business Analytics data source for users to explore. Analysis Big Data Pentaho'

Government 103

Government Data Big Data Analytics 103

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

OCTOBER 16, 2014

But I don’t care now, I’ve been on the stage in the big data community version of that gala. 2014 Finalists Announced for Data Impact Awards. Second Annual Awards Program, Presented by Cloudera, Honors Big Data Achievements. A TIBCO Spotfire advanced analytics solution purpose-built for a client. ?

Data 109

Data Big Data Analytics Nonprofit 109

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

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. Engaging the Hadoop Developer — Deep-dive with industry experts into the key projects, technology, and emerging trends driving the enterprise adoption of Hadoop.

Fractional CTO 113

Fractional CTO Program Management Programming Big Data 113

CTOvision

OCTOBER 18, 2013

With the continuous development of advanced infrastructure based around Apache Hadoop there has been an incredible amount of innovation around enterprise “Big Data” technologies, including in the analytical tool space. H2O by 0xdata brings better algorithms to big data.

Technical Review 99

Technical Review Analytics Technology Big Data 99

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. Engaging the Hadoop Developer — Deep-dive with industry experts into the key projects, technology, and emerging trends driving the enterprise adoption of Hadoop.

Fractional CTO 134

Fractional CTO Technical Review Big Data Analytics 134

Apiumhub

APRIL 1, 2021

Data Science and Big Data Analytics: Discovering, Analyzing, Visualizing and Presenting Data by by EMC Education Services. The whole data analytics lifecycle is explained in detail along with case study and appealing visuals so that you can see the practical working of the entire system.

Artificial Inteligence 52

Artificial Inteligence Data Handbook Machine Learning 52

CTOvision

OCTOBER 22, 2014

The payment card provider will use the Cloudera Enterprise 5.2 platform to integrate Hadoop datasets with other … Read more on Computer Business Review. Pentaho, Cloudera Executives See Bigger Data Opportunities. Cloudera , Red Hat make enterprise big data pact. Read more on opensource.com.

Technical Review 108

Technical Review Technology Software Review 3D 108

O'Reilly Media - Ideas

JUNE 4, 2019

Fundamentals of Machine Learning and Data Analytics , July 10-11. Essential Machine Learning and Exploratory Data Analysis with Python and Jupyter Notebook , July 11-12. Real-Time Streaming Analytics and Algorithms for AI Applications , July 17. Better Business Writing , July 15. Data science and data tools.

Course 65

Course Training Artificial Inteligence Software Review 65

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. How many members have we lost or gained this month?

Business Intelligence 360

Business Intelligence Data Business Analytics Analytics 360

O'Reilly Media - Ideas

JUNE 5, 2019

Fundamentals of Machine Learning and Data Analytics , July 10-11. Essential Machine Learning and Exploratory Data Analysis with Python and Jupyter Notebook , July 11-12. Real-Time Streaming Analytics and Algorithms for AI Applications , July 17. Better Business Writing , July 15. Data science and data tools.

Course 49

Course Training Artificial Inteligence Software Review 49

CTOvision

JUNE 24, 2014

Editor’s note: The Pentaho approach to business analytics and data integration works well with existing legacy approaches to data and every new big data capability we have seen. Pentaho Equips Companies to Easily Scale Big Data Operations, Regardless of IT Resources. By Bob Gourley.

Business Analytics 105

Business Analytics Analytics Enterprise Big Data 105

Actian

AUGUST 19, 2019

IoT devices create plenty of data – much more that you might think. When you multiply this amount of data by the number of devices installed in your company’s IT ecosystem, it is apparent IoT is a truly big data challenge. There are three primary reasons why companies move their IoT data to the cloud for processing.

IoT 45

IoT Cloud Data Analytics 45

Altexsoft

FEBRUARY 8, 2021

Machine learning techniques analyze big data from various sources, identify hidden patterns and unobvious relationships between variables, and create complex models that can be retrained to automatically adapt to changing conditions. Define data sources. Cost control. Quality management.

Business Intelligence 87

Business Intelligence Analytics Analysis Data 87

Strategy Driven

MARCH 21, 2016

As individuals, we are challenged by the overwhelming amount of data we interact with in every scope of our lives. Learning how to make sense of data is becoming a necessity rather than a choice. Competitive organizations are embracing big data and re-engineering their strategies and processes accordingly.

Organization 21

Organization Data Big Data Business Analytics 21

TechCrunch

MARCH 22, 2021

Berlin-based y42 (formerly known as Datos Intelligence), a data warehouse-centric business intelligence service that promises to give businesses access to an enterprise-level data stack that’s as simple to use as a spreadsheet, today announced that it has raised a $2.9

Business Intelligence 244

Business Intelligence Software Review B2B Analytics 244

Actian

AUGUST 19, 2019

IoT devices create plenty of data – much more that you might think. When you multiply this amount of data by the number of devices installed in your company’s IT ecosystem, it is apparent IoT is a truly big data challenge. There are three primary reasons why companies move their IoT data to the cloud for processing.

IoT 8

IoT Cloud Data Analytics 8

Infinidat

MARCH 10, 2021

With digital transformation under way at most enterprises, IT management is pondering how to optimize storage infrastructure to best support the new big data analytics focus. Guest Blogger: Eric Burgener, Research Vice President, Infrastructure Systems, Platforms and Technologies, IDC.

Business Intelligence 98

Business Intelligence Storage Infrastructure Artificial Inteligence 98

The Cipher Brief

SEPTEMBER 20, 2020

billion-dollar enterprise. 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. foreign policy and national security.

Business Analytics 56

Business Analytics Analytics Metrics Technical Review 56

Cloudera

NOVEMBER 2, 2020

Correlations across data domains, even if they are not traditionally stored together (e.g. real-time customer event data alongside CRM data; network sensor data alongside marketing campaign management data). The extreme scale of “big data”, but with the feel and semantics of “small data”.

Data 95

Data Analytics Storage Big Data 95

Altexsoft

JANUARY 14, 2021

A data warehouse is defined as a centralized repository where a company stores all valuable data assets integrated from different channels like databases, flat files, applications, CRM systems, etc. A data warehouse is often abbreviated as DW or DWH. You may also find it under the name of an enterprise data warehouse (EDW).

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

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

Altexsoft

FEBRUARY 3, 2020

A study reveals that data-driven organizations are 23 times more likely to acquire customers than their less proactive competitors. This is only one but a very important parameter that proves the power of big data in modern business operations. Data Analytics Definition, Stats, and Benefits.

Analytics 87

Analytics Tools Data Artificial Inteligence 87

Sunflower Lab

APRIL 2, 2024

From unraveling the essence of predictive analytics to the intricacies of turning data points into dollar signs, this comprehensive guide will prime you for a predictive power play that resonates throughout your enterprise. Next, contextualizing these insights within the broader business landscape is crucial.

Analytics 40

Analytics Machine Learning Artificial Inteligence Analysis 40