Kentik

MAY 8, 2016

As we discussed in an earlier post, From NetFlow Analysis to Business Outcome , a Big Data approach to collecting, storing, accessing, and analyzing management data enables the level of collaboration that’s required for an organization to exhibit the key characteristics of a digital business.

Big Data 40

Big Data Data Network Agile 40

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

Strategy Driven

AUGUST 27, 2015

The Internet and cloud computing have revolutionized the nature of data capture and storage, tempting many companies to adopt a new 'Big Data' philosophy: collect all the data you can; all the time. Big Data is Not Just More Data : That’s because the nature of the data we can now collect has changed.

Big Data 33

Big Data Data Storage Journal 33

Cloudera

DECEMBER 19, 2018

Growth factors and business priority are ever changing. Don’t blink or you might miss what leading organizations are doing to modernize their analytic and data warehousing environments. Natural language analytics and streaming data analytics are emerging technologies that will impact the market.

Analytics 53

Analytics Trends Data Big Data 53

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

Kentik

MAY 31, 2016

In the first post we discussed the need for a Big Data approach to network management in order to support agile business models and rapid innovation. In the second post we looked at how insights from a Big Data approach to network management enable data-driven network operations.

Big Data 40

Big Data Data Analytics Weak Development Team 40

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. What is DataOps: brief introduction. Technologies to run DataOps.

Analytics 75

Analytics DevOps Development Software Review 75

O'Reilly Media - Data

MAY 3, 2018

Once we have data securely in place, we proceed to utilize it in two main ways: (1) to make better decisions (BI) and (2) to enable some form of automation (ML). Business intelligence and analytics. I believe that the data science and big data communities are well-positioned to contribute to both automation and decentralization.

Analytics 127

Analytics Artificial Inteligence Data Machine Learning 127

Altexsoft

DECEMBER 14, 2022

For more information about the pros and cons of the most popular technologies, see the other articles from the series: The Good and the Bad of Hadoop Big Data Framework. The Good and the Bad of the SAP Business Intelligence Platform. OCI stands for the Open Container Initiative and was introduced by Docker Inc.

Weak Development Team 52

Weak Development Team Linux Operating System Virtualization 52

Altexsoft

MAY 20, 2020

The growth in connected devices over the 2015-2025 decade. Day by day, the IoT sees wider adoption, opening new opportunities and driving more value to both businesses and their clients. The service enables you to enrich information streamed by devices with data from external sources. billion to 21.5 Source: IoT Analytics.

IoT 141

IoT Azure AWS Transportation 141

Cloudera

MAY 16, 2018

This example combines three types of unrelated data: Legal entity data: Two companies with completely unrelated business lines (coffee and waste management) merged together; Unstructured data: Fraudulent promotion campaigns took place through press releases and a fake stock-picking robot.

Analytics 42

Analytics Groups Enterprise Data 42

Apiumhub

APRIL 8, 2021

Adrian specializes in mapping the Database Management System (DBMS), Big Data and NoSQL product landscapes and opportunities. Ronald van Loon has been recognized among the top 10 global influencers in Big Data, analytics, IoT, BI, and data science. Ronald van Loon. Kirk Borne. Marcus Borba. Vincent Granville.

Artificial Inteligence 110

Artificial Inteligence Technical Advisors Data Machine Learning 110