CIO Business Intelligence

APRIL 24, 2024

“Digital is a powerful business lever,” says Alessandra Luksch, director of the Digital Transformation Academy Observatory at Politecnico di Milano, which has been mapping trends in ICT spending by Italian organizations since 2016. “In

Digital Transformation 106

Digital Transformation Business Intelligence Unstructured Data Data Lake 106

CIO Business Intelligence

JUNE 28, 2023

Belcorp operates under a direct sales model in 14 countries. The initial stage involved establishing the data architecture, which provided the ability to handle the data more effectively and systematically. “We The team leaned on data scientists and bio scientists for expert support.

Digital Transformation 105

Digital Transformation Cost-Benefit Informatics Data mining 105

Cloudera

SEPTEMBER 24, 2021

Advanced predictive analytics technologies were scaling up, and streaming analytics was allowing on-the-fly or data-in-motion analysis that created more options for the data architect. Suddenly, it was possible to build a data model of the network and create both a historical and predictive view of its behaviour.

Analytics 97

Analytics IoT Cost-Benefit Big Data 97

Cloudera

SEPTEMBER 28, 2020

ACID transactions, ANSI 2016 SQL SupportMajor Performance improvements. The data lifecycle model ingests data using Kafka, enriches that data with Spark-based batch process, performs deep data analytics using Hive and Impala, and finally uses that data for data science using Cloudera Data Science Workbench to get deep insights.

Testing 132

Testing Metadata Risk Data Science 132

Ontotext

JANUARY 10, 2024

In Computer Science, we are trained to use the Okham razor – the simplest model of reality that can get the job done is the best one. This requires new tools and new systems, which results in diverse and siloed data. Each of these models has its advantages and disadvantages depending on the task at hand.

Metadata 72

Metadata Slice and Dice Data Integration Enterprise 72

CIO Business Intelligence

OCTOBER 18, 2022

In 2016, Major League Baseball’s Texas Rangers announced it would build a brand-new state-of-the-art stadium in Arlington, Texas. The old stadium, which opened in 1992, provided the business operations team with data, but that data came from disparate sources, many of which were not consistently updated.

Data Transformation 141

Data Transformation Consulting Data Lake Reporting 141

O'Reilly on Data

SEPTEMBER 11, 2019

So, we used a form of the Term Frequency-Inverse Document Frequency (TF/IDF) technique to identify and rank the top terms in this year’s Strata NY proposal topics—as well as those for 2018, 2017, and 2016. 2 in frequency in proposal topics; a related term, “models,” is No. An ML-related topic, “models,” was No.

IoT 20

IoT Big Data Data Warehouse Uncertainty 20