CTOvision

FEBRUARY 17, 2015

of their open data platform including new features which will be of high interest to any enterprise with data (all enterprises!). From their press release: Pentaho to Deliver On Demand Big Data Analytics at Scale on Amazon Web Services and Cloudera. Big Data Analytics with Cloudera Impala. “As Pentaho 5.3:

Big Data 109

Big Data Analytics AWS Data 109

TechCrunch

SEPTEMBER 29, 2022

Petrossian met Coalesce’s other co-founder, Satish Jayanthi, at WhereScape, where the two were responsible for solving data warehouse problems for large organizations. (In In computing, a “data warehouse” refers to systems used for reporting and data analysis — analysis usually germane to business intelligence.)

Enterprise 184

Enterprise Data Business Intelligence Analytics 184

Perficient

MARCH 19, 2024

If you have built or are building a Data Lake on the Google Cloud Platform (GCP) and BigQuery you already know that BigQuery is a fully managed enterprise data warehouse that helps you manage and analyze your data with built-in features like machine learning, geospatial analysis, and business intelligence.

Data 111

Data Google Cloud Analytics Serverless 111

CTOvision

SEPTEMBER 11, 2016

Their solutions have served business users, including the more advanced statisticians and data scientists but also the average user. We track Tibco in our Disruptive IT Directory in the category of Business Intelligence and Analytics Companies. For more info see Tibco.com.

Business Intelligence 60

Business Intelligence Analytics Telecommunications Airlines 60

Altexsoft

FEBRUARY 11, 2023

This specialist works closely with people on both business and IT sides of a company to understand the current needs of the stakeholders and help them unlock the full potential of data. To get a better understanding of a data architect’s role, let’s clear up what data architecture is.

Data 87

Data Data Engineering Big Data Architecture 87

CTOvision

SEPTEMBER 11, 2016

Their solutions have been applied across multiple industries, with use cases and reference architectures available for Airlines, Banking, Capital Markets, Government, Healthcare, Insurance, Life Sciences, Logistics, Manufacturing, Oil and Gas, Rail, Retail, Telecommunications and Utilities. For more info see Tibco.com.

Business Intelligence 62

Business Intelligence Analytics Telecommunications Airlines 62

Openxcell

JANUARY 6, 2023

Instead of making substantial investments in databases, software, and hardware, businesses prefer to access their computing power over the internet or in the cloud. Just a few of the existing cloud services include servers, storage, databases, networking, software, analytics, and business intelligence. Amazon Web Services (AWS).

Architecture 52

Architecture Cloud Storage Google Cloud 52

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

Xebia

JANUARY 19, 2023

. – AltexSoft All the data processing is done in Big Data frameworks like MapReduce, Spark and Flink. – Jesse Anderson The data engineering field could be thought of as a superset of business intelligence and data warehousing that brings more elements from software engineering.

Data Engineering 130

Data Engineering Engineering Data Technical Review 130

CTOvision

MARCH 14, 2014

Pentaho Announces Record Year in 2013 with 83% Growth in Big Data and Embedded Analytics. March 12, 2014, San Francisco, CA —Delivering the future of analytics , Pentaho Corporation today announced that 2013 was another record year with 83 percent bookings growth from big data and embedded analytics customers over 2012.

Big Data 107

Big Data Business Analytics Analytics Business Intelligence 107

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

CTOvision

JANUARY 18, 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 113

Fractional CTO Program Management Programming Big Data 113

Apps Associates

MAY 18, 2021

Performing analytics on the data was possible but took a long time and was mostly done in batch (using map reduce routines written in Java). Although on-premises Hadoop clusters ushered in the era of Big Data and supported data use cases that previously were not possible, many of these systems proved to be costly and cumbersome to maintain.

Cloud 98

Cloud Data Azure Analytics 98

Perficient

FEBRUARY 28, 2023

This included: First understanding and prioritizing the business and IT needs and challenges Defining the platform and program architecture, AND selecting the cloud platform and tools, And defining the program structure, project organization, and execution plan to implement the roadmap.

Healthcare 64

Healthcare Technical Review AWS Analytics 64

CTOvision

JANUARY 19, 2014

The place for enterprises to store all data with enterprise grade data management and protection, with access by any system (from legacy to modern, from proprietary to open source). This is the big data news of 2013, from a technology perspective. Business Intelligence 2.0:

Technical Review 109

Technical Review Technology Business Intelligence Systems Review 109

TIBCO - Connected Intelligence

JULY 13, 2020

While COVID-19 presents a short-term hindrance, I recently simulated this experience with my friend Philip Moston, a business intelligence (BI) Architect and Solutions Consultant at TIBCO partner QuinScape, based in Dortmund, home to the highest concentration of breweries in Germany. . We primarily work in German-speaking regions.

Analytics 58

Analytics Data Virtualization Business Intelligence 58

Apiumhub

MARCH 16, 2021

With more and more data available, it’s getting more difficult to focus on the information we really need and present it in an actionable way and that’s what business intelligence is all about. In this article we will talk about Business Intelligence tools, benefits & use cases. . What is Business Intelligence.

Business Intelligence 117

Business Intelligence Tools Artificial Inteligence Technical Review 117

Gorilla Logic

MAY 19, 2021

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. Some of the most common include cloud, IoT, big data, AI/ML, mobile, and more. Skill shortages can delay project kickoffs and delivery.

Software Review 94

Software Review Technical Review Software Development Team Review 94

Altexsoft

SEPTEMBER 9, 2022

In data science , metadata is one of the central aspects: It describes data (including unstructured data streams) fed into a big data analytical platform, capturing, for example, formats, file sizes, source of information, permission details, etc. data cataloging). Types of metadata.

Tools 59

Tools Technical Review Software Review Systems Review 59

TIBCO - Connected Intelligence

SEPTEMBER 20, 2019

Enterprise data warehouses (EDW) hold a lot of critical data while business and operational intelligence tools process the information and deliver that information via visualizations, real-time dashboards, reports, and drill-downs to business users. degree of data governance.

Analytics 20

Analytics Business Intelligence Big Data Enterprise 20

CIO

MARCH 9, 2022

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. Traditional data warehouses, for example, support datasets from multiple sources but require a consistent data structure.

Artificial Inteligence 298

Artificial Inteligence Data Artificial Intelligence Analytics 298

Cloudera

AUGUST 31, 2021

Today, modern data warehousing has evolved to meet the intensive demands of the newest analytics required for a business to be data driven. Traditional data warehouse vendors may have maturity in data storage, modeling, and high-performance analysis. Migration of historical data from EDW Platform.

Data 80

Data Analytics Cloud Technical Review 80

Altexsoft

JULY 29, 2022

Depending on how you measure it, the answer will be 11 million newspaper pages or… just one Hadoop cluster and one tech specialist who can move 4 terabytes of textual data to a new location in 24 hours. Developed in 2006 by Doug Cutting and Mike Cafarella to run the web crawler Apache Nutch, it has become a standard for Big Data analytics.

Big Data 59

Big Data Data Google Cloud Storage 59

CIO

APRIL 10, 2024

The company is in the process of running multiple experiments with gen AI to see how it can improve services and productivity and still maintain appropriate levels of governance, says CEO Dave Merkel. It started with the growth of SaaS, says Carm Taglienti, CDO, and data and AI portfolio director at solutions integrator Insight.

Artificial Inteligence 338

Artificial Inteligence Generative AI Training Coaching 338

CIO

AUGUST 18, 2022

Traditionally, organizations have maintained two systems as part of their data strategies: a system of record on which to run their business and a system of insight such as a data warehouse from which to gather business intelligence (BI). Don’t embark on any lengthy data modeling or rationalization.

Data 350

Data Artificial Inteligence Technical Advisors Technical Review 350

CTOvision

SEPTEMBER 9, 2016

Zoomdata develops the world’s fastest visual analytics solution for big data. Using patented data sharpening and micro-query technologies, Zoomdata empowers business users to visually consume data in seconds, even across billions of rows of data. Intelligence Community (IC).

Big Data 60

Big Data Data Analytics Business Intelligence 60

Altexsoft

NOVEMBER 10, 2021

The pun being obvious, there’s more to that than just a new term: Data lakehouses combine the best features of both data lakes and data warehouses and this post will explain this all. What is a data lakehouse? Traditional data warehouse platform architecture. Data lake architecture example.

Architecture 52

Architecture Data Storage Machine Learning 52

CTOvision

DECEMBER 8, 2015

That’s why the most successful businesses today are taking data-driven business intelligence to the next level. They collect vast amounts of information, and use data science to discover new customers needs, develop new products and services, and identify trends and opportunities. What Is Zero Trust Data?

Big Data 62

Big Data Organization Data Business Intelligence 62

CIO

SEPTEMBER 20, 2023

Over the years we’ve been working with business intelligence (BI) tools, and then incorporating other big data solutions outside of traditional BI, and, later, adopting advanced analytics. So in the data part, we’ve grown with technologies that weren’t convergent.

Cloud 246

Cloud Insurance Strategic Planning Strategy 246

CTOvision

SEPTEMBER 9, 2016

Zoomdata develops the world’s fastest visual analytics solution for big data. Using patented data sharpening and micro-query technologies, Zoomdata empowers business users to visually consume data in seconds, even across billions of rows of data.

Big Data 60

Big Data Data Analytics Scalability 60

Altexsoft

SEPTEMBER 23, 2021

One of the innovative ways to address this problem is to build a data hub — a platform that unites all your information sources under a single umbrella. This article explains the main concepts of a data hub, its architecture, and how it differs from data warehouses and data lakes. What is Data Hub?

Architecture 52

Architecture Data Storage IoT 52

Datavail

JUNE 8, 2023

Data Summit 2023 was filled with thought-provoking sessions and presentations that explored the ever-evolving world of data. From the technical possibilities and challenges of new and emerging technologies to using Big Data for business intelligence, analytics, and other business strategies, this event had something for everyone.

Database Administration 52

Database Administration Data Artificial Inteligence Analytics 52

Altexsoft

FEBRUARY 10, 2021

New approaches arise to speed up the transformation of raw data into useful insights. Similar to how DevOps once reshaped the software development landscape, another evolving methodology, DataOps, is currently changing Big Data analytics — and for the better. Create a data catalog. What is DataOps: brief introduction.

Analytics 75

Analytics DevOps Development Software Review 75

Perficient

MARCH 14, 2023

This means enabling teams to create accessible discovery sandboxes quickly and easily for ad-hoc exploration by power users and data scientists without sacrificing the necessary governance and security. We’ve also learned a bit about what can be done to reduce the lift involved.

Data 64

Data Healthcare AWS Analytics 64

Altexsoft

JUNE 26, 2023

Data collection is a methodical practice aimed at acquiring meaningful information to build a consistent and complete dataset for a specific business purpose — such as decision-making, answering research questions, or strategic planning. Structured data is modeled to be easily searchable and occupy minimal storage space.

Machine Learning 52

Machine Learning Artificial Inteligence Data Systems Review 52

Altexsoft

APRIL 26, 2022

Not long ago setting up a data warehouse — a central information repository enabling business intelligence and analytics — meant purchasing expensive, purpose-built hardware appliances and running a local data center. Data warehousing in a nutshell. Snowflake architecture overview.

Weak Development Team 59

Weak Development Team Data Storage Technical Review 59

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 91

Data Analytics Storage Big Data 91