CTOvision

JANUARY 26, 2015

Pentaho Online Demo Series: 3 and 17 Feb 2015. Dive Into The Pentaho Agile Business Analytics & Data Integration Platform in Action. Enterprise-grade data integration to access & transform data from virtually any source. The most complete big data integration & analytics offering on the market.

Big Data 103

Big Data Business Analytics Analytics Agile 103

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

CTOvision

JULY 31, 2013

By Ryan Kamauff Peter Schlampp, the Vice President of Products and Business Development at Platfora, explains what the Hadoop Big Data reservoir is and is not in this webinar that I watched today. Knowing what the HDR is and is not is key to pulling out business intelligence insights and analytics.

Big Data 91

Big Data Data Business Intelligence Analytics 91

TechCrunch

MARCH 22, 2021

.” Before y42, Vietnam-born Dang co-founded a major events company that operated in over 10 countries and made millions in revenue (but with very thin margins), all while finishing up his studies with a focus on business analytics. And that in turn led him to also found a second company that focused on B2B data analytics.

Business Intelligence 244

Business Intelligence Software Review B2B Analytics 244

CTOvision

OCTOBER 20, 2014

Pentaho’s Streamlined Data Refinery enables organizations to blend and enrich all data, orchestrate the data pipeline in accordance with governance standards, and deliver analytics-ready data sets to end users in the right format. Advanced Data Security in Hadoop. Analysis Big Data Pentaho'

Government 103

Government Data Big Data Analytics 103

Hu's Place - HitachiVantara

MAY 10, 2019

Today’s analytic tools with modern compute and storage systems can analyze huge volumes of data in real time, integrate and visualize an intricate network of unstructured data and structured data, and generate meaningful insights, and provide real-time fraud detection. This is where DataOps comes into play.

Data 90

Data Machine Learning Artificial Inteligence Weak Development Team 90

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. Quickly and efficiently.

Big Data 40

Big Data Analytics Data Technical Review 40