O'Reilly Media - Ideas

FEBRUARY 11, 2019

Many companies are just beginning to address the interplay between their suite of AI, big data, and cloud technologies. I’ll also highlight some interesting uses cases and applications of data, analytics, and machine learning. AI and machine learning in the enterprise. AI and machine learning in the enterprise.

Big Data 86

Big Data Technology Tools Cloud 86

CTOvision

SEPTEMBER 17, 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.

Big Data 105

Big Data Fractional CTO Government CTO 105

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 360

Business Intelligence Data Business Analytics Analytics 360

CTOvision

JULY 26, 2014

We have reported on Recorded Future since their founding and have watched closely as they have evolved to become a full scope web intelligence software platform able to make unique and very positive contributions to enterprise missions. Recorded Future provides a comprehensive source of past, planned and predicted events on the web.

Big Data 102

Big Data Software Business Intelligence Analytics 102

Perficient

FEBRUARY 16, 2023

In the first article in this series, I explained the five components necessary to prevent a Data Lake from Becoming a Data Swamp. The Data Catalog and Metadata Management A Data Catalog is a collection of metadata, combined with data management and search tools, that helps corporate knowledge workers find the data that they need.

Data 110

Data Google Cloud Analytics Cloud 110

Existek

NOVEMBER 22, 2021

Need an enterprise app to boost your business efficiency but don’t know where to start? This article will serve as a step-by-step guide to enterprise web development. Those solutions are designed for streamlining and automating the business processes, which can greatly benefit business owners. List of the Content.

Web Development 52

Web Development UI/UX Weak Development Team Enterprise 52

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. Product innovation drives unprecedented enterprise customer growth.

Big Data 107

Big Data Business Analytics Analytics Business Intelligence 107

CIO

FEBRUARY 6, 2023

Executive leaders of small businesses and startups frequently lament that they lack the same access to data and insights that enterprise competitors and other more entrenched players enjoy. Most technology functions of businesses today are SaaS-driven. That’s where business intelligence (BI) apps and tools come in.

Business Intelligence 228

Business Intelligence Small Business Weak Development Team Analytics 228

Altexsoft

FEBRUARY 11, 2023

It serves as a foundation for the entire data management strategy and consists of multiple components including data pipelines; , on-premises and cloud storage facilities – data lakes , data warehouses , data hubs ;, data streaming and Big Data analytics solutions ( Hadoop , Spark , Kafka , etc.);

Data 87

Data Data Engineering Big Data Architecture 87

CTOvision

JULY 30, 2015

Tamr enables enterprises to make use of 100% of available data by unifying and enriching data holdings. For a succinct overview of the Tamr approach see the video at this link and embedded below: From their website: Businesses have mission-critical questions to ask and the data assets they need to answer them.

Analytics 122

Analytics Data Big Data Machine Learning 122

Cloudera

DECEMBER 19, 2018

Don’t blink or you might miss what leading organizations are doing to modernize their analytic and data warehousing environments. Business intelligence (BI), an umbrella term coined in 1989 by Howard Dresner, Chief Research Officer at Dresner Advisory Services, refers to the ability of end-users to access and analyze enterprise data.

Analytics 54

Analytics Trends Data Big Data 54

CTOvision

MARCH 5, 2014

Many of us consider him the father of the data warehouse and he has been driving innovation in that field for years. His approach to dimensional modeling (known as the Kimball methodology) is currently the de facto standard in most enterprise decision support systems. Here is more from the invite: Building a Hadoop Data Warehouse.

Data 107

Data Big Data Case Study Analysis 107

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

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

TIBCO - Connected Intelligence

AUGUST 9, 2019

In The Forrester Wave : Enterprise BI Platforms (Vendor-Managed), Q3 2019, TIBCO Spotfire ® is positioned as a Leader following an extensive evaluation of vendors across several key measures. According to the report, “customers especially praised Cloud Spotfire for its ease of use and search UI/data discovery and exploration.” .

Artificial Inteligence 24

Artificial Inteligence Enterprise Vendor Management Artificial Intelligence 24

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. Which firms have something so important that you should push hard to get them into your enterprise?

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

Tenable

JULY 20, 2022

Oracle E-Business Suite. Oracle Enterprise Manager. Oracle Big Data Graph. Oracle Enterprise Manager for MySQL Database. Oracle Business Intelligence Enterprise Edition. Oracle Data Integrator. Issues Patched. Oracle Construction and Engineering. Oracle Systems. Oracle JD Edwards.

Blockchain 102

Blockchain Retail Database Administration Authentication 102

Perficient

FEBRUARY 28, 2023

Academic Medical Center Case Study This was an academic medical center that was running into challenges to integrate large data sets securely and quickly to make the data usable and valuable to its providers and researchers. They initially had a traditional, on-premises enterprise data warehouse to store and analyze data.

Healthcare 64

Healthcare Technical Review AWS Analytics 64

Altexsoft

APRIL 5, 2021

In recent history, the unprocessed and raw information that we call data has gained an increasing amount of traction due to companies realizing its potential. For a layman, this is exactly what started the buzz around big data. Only useable for data-oriented developers or analysts. Data Integration for Marketing.

Company 78

Company Data Technical Review Analysis 78

Kentik

MARCH 27, 2017

I recently had an interesting conversation with an industry analyst about how Kentik customers use our big data network visibility solution for more accurate DDoS detection, automated hybrid mitigation, and deep ad-hoc analytics. I was focused on our current customer base in digital business as well as cloud and service providers.

Enterprise 40

Enterprise Policies Analytics Architecture 40

Datavail

JULY 7, 2022

Meanwhile, in an informal survey of attendees at a recent Datavail webinar, the majority (75 percent) of attendees said that their organization was pursuing a “hybrid” (partly on-premises and partly in the cloud) strategy for business intelligence and analytics. Unstructured data. High data volumes.

Analytics 52

Analytics Artificial Inteligence Cloud Artificial Intelligence 52

Altexsoft

FEBRUARY 8, 2021

diversity of sales channels, complex structure resulting in siloed data and lack of visibility. 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.

Business Intelligence 87

Business Intelligence Analytics Analysis Data 87

Kentik

JANUARY 19, 2016

Network data is a source of truth for everything in the modern business. Network data not only provides insight into the health and performance of IT infrastructure; it can also provide business intelligence. Enterprises are crunching flow records with big data.

Network 40

Network Cloud Data Big Data 40

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 118

Business Intelligence Tools Artificial Inteligence Technical Review 118

Altexsoft

AUGUST 29, 2023

In 2010, a transformative concept took root in the realm of data storage and analytics — a data lake. The term was coined by James Dixon , Back-End Java, Data, and Business Intelligence Engineer, and it started a new era in how organizations could store, manage, and analyze their data. Who needs a data lake?

Architecture 52

Architecture Data Storage Machine Learning 52

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

Tenable

JANUARY 19, 2022

Medium severity patches accounted for the bulk of security patches at 46.5%, followed by high severity patches at 41.9%. This quarter’s update includes 33 critical patches across 25 CVEs. Severity Issues Patched CVEs Critical 33 25 High 208 63 Medium 231 154 Low 25 24 Total 497 266. of the total patches.

Retail 52

Retail Construction Airlines Systems Administration 52

Capgemini

NOVEMBER 14, 2022

Data has to be easy to find, understand, access, and use for everyone in the chain: data engineers, analysts, data scientists, and business users. It makes the data more accessible and understandable to everyone, especially less-skilled data consumers. It needed to teach people to fish in the data lake.

Agile 52

Agile Technical Review Systems Review Artificial Intelligence 52

CTOvision

OCTOBER 2, 2013

Since joining forces last year, Strata + Hadoop World is also one of the largest gatherings of the Apache Hadoop community in the world, with emphasis on hands-on and business sessions on the Hadoop ecosystem. If you want to tap into the opportunities brought by big data, data science, and pervasive computing, you’ll want to be there.

Big Data 73

Big Data CTO Coach Conference Media 73

Datavail

MARCH 24, 2020

Loosely defined, a data strategy is a list of high-level objectives and priorities for your enterprise data assets. This includes your plans for handling data at every stage of the pipeline, from collection and storage to integration, analysis, and collaboration.

Strategy 40

Strategy Data Policies Storage 40

Xebia

JANUARY 19, 2023

The following quotes date back to those years: Data Engineers set up and operate the organization’s data infrastructure, preparing it for further analysis by data analysts and scientist. – AltexSoft All the data processing is done in Big Data frameworks like MapReduce, Spark and Flink.

Data Engineering 130

Data Engineering Engineering Data Technical Review 130

Cloudera

AUGUST 31, 2021

While this “data tsunami” may pose a new set of challenges, it also opens up opportunities for a wide variety of high value business intelligence (BI) and other analytics use cases that most companies are eager to deploy. . Business Problem & Background. Migration of historical data from EDW Platform.

Data 84

Data Analytics Cloud Technical Review 84

TechCrunch

MARCH 9, 2022

As organizations continue to build out their digital architecture, a new category of enterprise software has emerged to help them manage that process. Ardoq is based out of Oslo and about 30% of its enterprise client base is in the Nordics; the rest is spread between Europe and the U.S. Federal Communications Commission. .

Architecture 246

Architecture Enterprise Network Organization 246

TIBCO - Connected Intelligence

SEPTEMBER 20, 2019

One of the main objectives with implementing cutting-edge analytics and data management technology is to provide more timely analysis to improve their understanding, planning, and performance evaluation process. Each one is different, but they all work together to effectively and efficiently manage data.

Analytics 20

Analytics Business Intelligence Big Data Enterprise 20

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. Types of metadata. There are multiple ways to categorize metadata.

Tools 59

Tools Technical Review Software Review Systems Review 59

Altexsoft

AUGUST 19, 2022

In our blog, we’ve been talking a lot about the importance of business intelligence (BI), data analytics, and data-driven culture for any company. Users can easily create a wide range of data-intensive, yet intelligible reports and dashboards and share obtained insights. What is Power used for?

Weak Development Team 52

Weak Development Team Data Azure Analytics 52