Ontotext

APRIL 6, 2023

It can apply automated reasoning to extract further knowledge and make new connections between different pieces of data. This model is used in various industries to enable seamless data integration, unification, analysis and sharing. Read our post: Okay, You Got a Knowledge Graph Built with Semantic Technology… And Now What?

Manufacturing 83

Manufacturing Cost-Benefit Knowledge Discovery Optimization 83

CDW Research Hub

JANUARY 28, 2022

In today’s data-driven world, your storage architecture must be able to store, protect and manage all sources and types of data while scaling to manage the exponential growth of data created by IoT, videos, photos, files, and apps. Optimize network performance.

Digital Transformation 86

Digital Transformation Data-driven IoT Optimization 86

DataKitchen

JULY 27, 2023

Let’s go through the ten Azure data pipeline tools Azure Data Factory : This cloud-based data integration service allows you to create data-driven workflows for orchestrating and automating data movement and transformation. You can use it for big data analytics and machine learning workloads.

Machine Learning 130

Machine Learning Cost-Benefit Data Transformation Testing 130

BizAcuity

APRIL 1, 2023

Using minutes- and seconds-old data for real-time personalization can significantly grow user engagement. Operational Analytics Applications such as e-commerce, gaming, and the Internet of things (IoT) commonly require real-time views of what’s happening. Lack of real-time data using Snowpipe would affect this.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Lake Internet of Things 52

CIO Business Intelligence

JANUARY 24, 2024

At Vanguard, “data and analytics enable us to fulfill on our mission to provide investors with the best chance for investment success by enabling us to glean actionable insights to drive personalized client experiences, scale advice, optimize investment and business operations, and reduce risk,” Swann says.

Data Strategy 131

Data Strategy Strategy Unstructured Data Data Governance 131

IBM Big Data Hub

DECEMBER 11, 2023

Cost optimization A hybrid cloud strategy helps businesses optimize spending and lower costs, such as lowering capital expenditures tied to acquiring, upgrading and maintaining physical hardware or expanding the buildout of data centers. This redundancy prevents data loss if one of the backups is comprised.

Cost-Benefit 103

Cost-Benefit Data Processing Strategy Software 103

IBM Big Data Hub

JANUARY 29, 2024

Hybrid cloud – The hybrid cloud environment creates a single, optimal cloud for public cloud private cloud and on-premises infrastructure. It takes an organization’s on-premises data into a private cloud infrastructure and then connects it to a public cloud environment, hosted by a public cloud provider. million km.

Digital Transformation 68

Digital Transformation Consulting Internet of Things Recreation/Entertainment 68

IBM Big Data Hub

JANUARY 26, 2024

This has changed the traditional on-site maintenance approach where personnel used to run to the data room to flip through the information; adopting the intelligent positioning of maintenance data through on-site scope helps promote transparency, standardize the maintenance management, and automate the maintenance method.

Cost-Benefit 73

Cost-Benefit Enterprise Technology KPI 73

Jet Global

MAY 9, 2024

Real-Time Analytics Pipelines : These pipelines process and analyze data in real-time or near-real-time to support decision-making in applications such as fraud detection, monitoring IoT devices, and providing personalized recommendations. As data flows into the pipeline, it is processed in real-time or near-real-time.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

erwin

FEBRUARY 4, 2021

While acknowledging that data governance is about more than risk management and regulatory compliance may indicate that companies are more confident in their data, the data governance practice is nonetheless growing in complexity because of more: Data to handle, much of it unstructured. Sources, like IoT.

Data Governance 89

Data Governance Metadata Data Quality Risk Management 89

datapine

AUGUST 20, 2019

Operations data: Data generated from a set of operations such as orders, online transactions, competitor analytics, sales data, point of sales data, pricing data, etc. The gigantic evolution of structured, unstructured, and semi-structured data is referred to as Big data. Challenges of Data Ingestion.

Big Data 100

Big Data B2B Cost-Benefit Structured Data 100

datapine

NOVEMBER 27, 2019

The development of business intelligence to analyze and extract value from the countless sources of data that we gather at a high scale, brought alongside a bunch of errors and low-quality reports: the disparity of data sources and data types added some more complexity to the data integration process.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

FineReport

MARCH 31, 2024

Furthermore, these tools boast customization options, allowing users to tailor data sources to address areas critical to their business success, thereby generating actionable insights and customizable reports. Sisense streamlines data analysis through embedded IoT and machine learning, enabling rapid data-to-dashboard transformations.

Dashboards 52

Dashboards Visualization Data mining Data-driven 52

Cloudera

NOVEMBER 19, 2018

These data are analyzed to build a holistic picture of environmental conditions that are used to advise clients on more efficient uses of resources resulting in greater environmental sustainability. Optimizing crop rotation within small-scale agricultural operations. Maximizing efficiencies in aquaponics.

Digital Transformation 40

Digital Transformation IoT Cost-Benefit Uncertainty 40

CIO Business Intelligence

MARCH 16, 2022

But even before the pandemic hit, Dubai-based Aster DM Healthcare was deploying emerging technology — for example, implementing a software-defined network at its Aster Hospitals UAE infrastructure to help manage IoT-connected healthcare devices. It was pushed down at the bottom of the list.

Technology 90

Technology Digital Transformation Business Intelligence Data Warehouse 90

Cloudera

JUNE 25, 2019

Struggling to combat proliferating silos and control their customers’ and operations data. Overwhelmed by new data – images, video, sensor and IoT. Unprepared to meet escalating data privacy regulations. Enterprises can auto-scale and optimize to meet the demands of workloads.

Enterprise 87

Enterprise Machine Learning Recreation/Entertainment IoT 87

AWS Big Data

FEBRUARY 21, 2023

Loading complex multi-point datasets into a dimensional model, identifying issues, and validating data integrity of the aggregated and merged data points are the biggest challenges that clinical quality management systems face. What is a dimensional data model? It optimizes the database for faster data retrieval.

Data Warehouse 66

Data Warehouse Data Lake Cost-Benefit Modeling 66

Cloudera

OCTOBER 7, 2021

In this blog, I will demonstrate the value of Cloudera DataFlow (CDF) , the edge-to-cloud streaming data platform available on the Cloudera Data Platform (CDP) , as a Data integration and Democratization fabric. When it comes to data movement outside the boundaries of Data Products (i.e., Introduction.

Metadata 124

Metadata Cost-Benefit Enterprise Interactive 124

AWS Big Data

JUNE 7, 2023

Through their unique position in ports, at sea, and on roads, they optimize global cargo flows and create sustainable customer value. Cargotec captures terabytes of IoT telemetry data from their machinery operated by numerous customers across the globe.

Metadata 55

Metadata Data Lake Machine Learning Big Data 55

AWS Big Data

JUNE 12, 2023

Organizations across the world are increasingly relying on streaming data, and there is a growing need for real-time data analytics, considering the growing velocity and volume of data being collected. About the Authors Vivekanand Tiwari is a Cloud Architect at AWS. Subramanya Vajiraya is a Sr.

Management 81

Management Metadata Testing Internet of Things 81

Business Over Broadway

MAY 22, 2019

IoT Artificial Intelligence. Also, loyalty leaders infuse analytics into CX programs, including machine learning, data science and data integration. Using Customer Journey Orchestration and AI to Optimize Customer Experience: [link]. Start with understanding your problem first and what you want to solve.

Machine Learning 40

Machine Learning Technology Digital Transformation Data Science 40

AWS Big Data

MAY 30, 2023

Traditional batch ingestion and processing pipelines that involve operations such as data cleaning and joining with reference data are straightforward to create and cost-efficient to maintain. You will also want to apply incremental updates with change data capture (CDC) from the source system to the destination.

Data Lake 82

Data Lake Data Analytics Analytics Data Processing 82