Actian

AUGUST 19, 2019

IoT devices create plenty of data – much more that you might think. When you multiply this amount of data by the number of devices installed in your company’s IT ecosystem, it is apparent IoT is a truly big data challenge. Why would you move IoT data to the cloud? Enable business analytics and decision-making.

IoT 8

IoT Cloud Data Analytics 8

Altexsoft

JULY 3, 2020

The hospitality industry evolved into various businesses that propose different customer experiences by adopting new technologies, practices, and cultural trends. The adoption of, say, IoT devices gave us new ways to collect and process data. The specifications cater to both technical and business people from the hospitality industry.

Technical Review 76

Technical Review Technology Hotels Systems Review 76

Cloudera

DECEMBER 17, 2020

This retailer leveraged Cloudera enterprise data management solutions that provided micro-data on shopper location enabling in-store analysis, similar to the insight gleaned from the online portion of their business.

Retail 57

Retail Apparel Analytics Enterprise 57

Altexsoft

FEBRUARY 8, 2021

Manufacturing is typically characterized by producing a lot of various disparate data that is hard to organize and analyze, especially with the spread of Internet of Things (IoT) devices. Analytics and BI tools can consolidate and visualize all the important information that would let you monitor your production process more efficiently.

Business Intelligence 87

Business Intelligence Analytics Analysis Data 87

Cloudera

APRIL 27, 2021

Throughout his career, he has been a champion for the transformational power of data, from API development in the early 2000s, to IoT and AI in recent years at IBM, where he was a member of the IBM Industry Academy. Anthony is the Managing Director for Communications, Media and Entertainment at Cloudera.

Company 64

Company Telecommunications Wireless Artificial Inteligence 64

Altexsoft

NOVEMBER 23, 2021

Self-service capabilities for all business users. They can design and perform whatever reports and analysis they need without worrying about a data format or where it resides. Many users claim that the solution helped them reduce time to market and improve overall business agility. There are some limitations , namely.

Virtualization 69

Virtualization Tools Data Architecture 69

O'Reilly Media - Ideas

SEPTEMBER 11, 2019

Our call for speakers for Strata NY 2019 solicited contributions on the themes of data science and ML; data engineering and architecture; streaming and the Internet of Things (IoT); business analytics and data visualization; and automation, security, and data privacy. Streaming, IoT, and time series mature. Spark was No.

Conference 8

Conference Data Data Engineering Artificial Inteligence 8

Sunflower Lab

APRIL 2, 2024

From unraveling the essence of predictive analytics to the intricacies of turning data points into dollar signs, this comprehensive guide will prime you for a predictive power play that resonates throughout your enterprise. Next, contextualizing these insights within the broader business landscape is crucial.

Analytics 40

Analytics Machine Learning Artificial Inteligence Analysis 40

Altexsoft

SEPTEMBER 19, 2019

Formatting data according to specified requirements and standards to make it suitable for analysis. The ETL process specifies how a heterogeneous data is retrieved from disparate sources, transformed into a form suitable for the analysis, and loaded into a single destination. Flow of data and ETL. You aim to build custom BI.

Business Intelligence 13

Business Intelligence Tools Data Azure 13