Cloudera

SEPTEMBER 29, 2021

To pull ahead of the pack, a company needs to know what to do with its data. Without a data-driven strategy, you’re bound to lose ground to competitors who apply their data to operational improvements, product development, go-to-market strategies, and the customer experience. You have to do it fast.

Data-driven 77

Data-driven Data Collection Strategy Enterprise 77

Cloudera

AUGUST 17, 2020

Communication Service Providers (CSPs) are in the middle of a data-driven transformation. The current scale and pace of change in the Telecommunications sector is being driven by the rapid evolution of new technologies like the Internet of Things (IoT), 5G, advanced data analytics and edge computing.

IoT 95

IoT Internet of Things B2B Data-driven 95

Smart Data Collective

JUNE 3, 2021

In 2016 experts projected that the “ big data ” industry would be worth somewhere around $30 billion by 2022. The reason for the industry being so profitable is simple: data makes marketing practices exponentially more economic. This list is for individuals who are looking to “do it themselves” with data.

Big Data 120

Big Data Software Finance Dashboards 120

Cloudera

SEPTEMBER 24, 2021

One of the most substantial big data workloads over the past fifteen years has been in the domain of telecom network analytics. The Dawn of Telco Big Data: 2007-2012. Suddenly, it was possible to build a data model of the network and create both a historical and predictive view of its behaviour.

Analytics 94

Analytics IoT Cost-Benefit Big Data 94

datapine

MAY 11, 2022

Concerning professional growth, development, and evolution, using data-driven insights to formulate actionable strategies and implement valuable initiatives is essential. Data visualization methods refer to the creation of graphical representations of information. That’s where data visualization comes in.

Visualization 252

Visualization Dashboards Key Performance Indicator Sales 252

Cloudera

SEPTEMBER 8, 2020

Communication Service Providers (CSPs) are in the middle of a data-driven transformation. The current scale and pace of change in the Telecommunications sector is being driven by the rapid evolution of new technologies like the Internet of Things (IoT), 5G, advanced data analytics, and edge computing.

IoT 68

IoT Internet of Things B2B Data-driven 68

datapine

SEPTEMBER 11, 2019

Digital data, by its very nature, paints a clear, concise, and panoramic picture of a number of vital areas of business performance, offering a window of insight that often leads to creating an enhanced business intelligence strategy and, ultimately, an ongoing commercial success. billion , growing at a CAGR of 26.98% from 2016.

Business Intelligence 161

Business Intelligence Analytics Sales Dashboards 161

IBM Big Data Hub

SEPTEMBER 11, 2023

On June 7, 1983, a product was born that would revolutionize how organizations would store, manage, process , and query their data: IBM Db2. Codd published his famous paper “ A Relational Model of Data for Large Shared Data Banks.” Over the past 40 years, Db2 has been on an exciting and transformational journey.

Machine Learning 86

Machine Learning Cost-Benefit IoT Data Warehouse 86

Cloudera

SEPTEMBER 28, 2020

Cloudera delivers an enterprise data cloud that enables companies to build end-to-end data pipelines for hybrid cloud, spanning edge devices to public or private cloud, with integrated security and governance underpinning it to protect customers data. ACID transactions, ANSI 2016 SQL SupportMajor Performance improvements.

Testing 131

Testing Metadata Risk Data Science 131

O'Reilly on Data

SEPTEMBER 11, 2019

Machine learning, artificial intelligence, data engineering, and architecture are driving the data space. The Strata Data Conferences helped chronicle the birth of big data, as well as the emergence of data science, streaming, and machine learning (ML) as disruptive phenomena.

IoT 20

IoT Big Data Data Warehouse Uncertainty 20

Domino Data Lab

AUGUST 8, 2019

Paco Nathan ‘s latest monthly article covers Sci Foo as well as why data science leaders should rethink hiring and training priorities for their data science teams. In this episode I’ll cover themes from Sci Foo and important takeaways that data science teams should be tracking. Introduction. Ever heard of it before?

Data Science 71

Data Science Machine Learning Data Governance Statistics 71