Cloudera

OCTOBER 17, 2023

As organizations shift from the modernization of data-driven applications via Kafka towards delivering real-time insight and/or powering smart automated systems, Flink At Current, adoption of Flink was a hot topic and many of the vendors (Cloudera included) use Flink as the engine to power their stream processing offerings as well.

Data-driven 77

Data-driven Enterprise IoT Data Warehouse 77

CIO Business Intelligence

NOVEMBER 23, 2022

This has become a priority for businesses that are trying to keep up with new technologies such as the cloud, IoT, machine learning, and other emerging trends that will prompt digital transformation. Data warehouse. Data modeling. Artificial intelligence (AI). Microsoft Azure. Business intelligence. Strategy development.

Enterprise 125

Enterprise Cost-Benefit Digital Transformation Strategy 125

CIO Business Intelligence

FEBRUARY 14, 2023

Titanium Intelligent Solutions, a global SaaS IoT organization, even saved one customer over 15% in energy costs across 50 distribution centers , thanks in large part to AI. Machine learning models require quality data for model development and for decisioning when the machine learning models are put in production.

Data Strategy 113

Data Strategy Strategy Machine Learning Data-driven 113

Alation

FEBRUARY 13, 2020

that specializes in IoT and in monitoring wind farms for other customers, and we have a weather team in Houston that is expert on wind and climate. Now those three groups came together and combined their knowledge about their experience in running wind farms, IoT, the sensor data and the weather. Department of Commerce.

Data-driven 52

Data-driven Data Lake Enterprise Analytics 52

Cloudera

OCTOBER 3, 2018

Google built an innovative scale-out platform for data storage and analysis in the late 1990s and early 2000s, and published research papers about their work. The tremendous growth in both unstructured and structured data overwhelms traditional data warehouses. First, remember the history of Apache Hadoop.

Uncertainty 75

Uncertainty IoT Risk Reporting 75

Sisense

MARCH 13, 2019

Will your platform enable me to embed analytics into my users’ day-to-day workflow with IoT devices like Amazon Echo, chatbots, and smart devices, to go beyond traditional modes of consumption? Does your analytics and BI platform have robust connectors to all forms of data, both live and cached, in the cloud and on-premise?

Analytics 69

Analytics Business Intelligence ROI Cost-Benefit 69

Cloudera

SEPTEMBER 12, 2018

Connecting internal, external and unconventional data (such as sensor and video data) helps the organization create an end-to-end product performance strategy, while common governance and security enable self-service capabilities for business users. Modern Data Warehousing: Barclays (nominated together with BlueData ).

Machine Learning 45

Machine Learning Big Data Data Science Data Warehouse 45

O'Reilly on Data

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. Another related term, “data pipeline” (at No.

IoT 20

IoT Big Data Data Warehouse Uncertainty 20

datapine

NOVEMBER 19, 2019

Social BI indicates the process of gathering, analyzing, publishing, and sharing data, reports, and information. This is done using interactive Business Intelligence and Analytics dashboards along with intuitive tools to improve data clarity. What is Social Business Intelligence? Summing Up. Author Bio: . Website Link: [link]

Business Intelligence 20

Business Intelligence Knowledge Discovery Unstructured Data Software 20

IBM Big Data Hub

JANUARY 18, 2023

They defined it as : “ A data lakehouse is a new, open data management architecture that combines the flexibility, cost-efficiency, and scale of data lakes with the data management and ACID transactions of data warehouses, enabling business intelligence (BI) and machine learning (ML) on all data. ”.

Data Lake 52

Data Lake Data Warehouse Data-driven Metadata 52

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.” In 1969, retired IBM Fellow Edgar F. Chamberlin and Raymond F.

Machine Learning 88

Machine Learning Cost-Benefit IoT Data Warehouse 88