IBM Big Data Hub

JANUARY 15, 2024

Another way organizations are experimenting with advanced security measures is through the blockchain, which can enhance data integrity and secure transactions. The Internet of Things (IoT) enables technologies to connect and communicate with each other.

Digital Transformation 77

Digital Transformation Internet of Things IoT Consulting 77

CIO Business Intelligence

JUNE 16, 2022

IT teams grapple with an ever-increasing volume, velocity, and variety of data, which pours in from sources like apps and IoT devices. At the same time, business teams can’t access, understand, trust, and work with the data that matters most to them. Innovation at integration points.

IT 120

IT Experimentation IoT Data-driven 120

Data Virtualization

APRIL 26, 2024

The post From Ego-centric To Eco-centric: Future-Proofing Energy and Utilites Operations appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information.

Data Integration 59

Data Integration Management Internet of Things Data-driven 59

CIO Business Intelligence

OCTOBER 1, 2022

The company has already undertaken pilot projects in Egypt, India, Japan, and the US that use Azure IoT Hub and IoT Edge to help manufacturing technicians analyze insights to create improvements in the production of baby care and paper products. It also involves large amounts of data and near real-time processing.

Manufacturing 144

Manufacturing Digital Transformation IoT Internet of Things 144

Juice Analytics

MAY 11, 2020

Among all the hot analytics initiatives to choose from (big data, IoT, NLP, data storytelling, cognitive BI, GDPR), plain old reporting is what is considered the most important strategic initiative.

Reporting 115

Reporting Analytics IT Data Lake 115

BizAcuity

NOVEMBER 22, 2022

Using minutes- and seconds-old data for real-time personalization can significantly grow user engagement. 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. Operational Analytics.

Data Warehouse 98

Data Warehouse Cost-Benefit Data Lake Internet of Things 98

CIO Business Intelligence

JANUARY 24, 2024

With nearly 800 locations, RaceTrac handles a substantial volume of data, encompassing 260 million transactions annually, alongside data feeds from store cameras and internet of things (IoT) devices embedded in fuel pumps.

Data Strategy 134

Data Strategy Strategy Unstructured Data Data Governance 134

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

In(tegrate) the Clouds

AUGUST 4, 2016

In my last post, I wrote about the new data integration requirements. In this post I wanted to share a few points made recently in a TDWI institute interview with SnapLogic founder and CEO Gaurav Dhillon when he was asked: What are some of the most interesting trends you’re seeing in the BI, analytics, and data warehousing space?

IoT 45

IoT Internet of Things Data Lake Data Warehouse 45

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.

Digital Transformation 86

Digital Transformation Data-driven IoT Optimization 86

Smart Data Collective

OCTOBER 26, 2023

Rapid growth in the use of recently developed technologies such as the Internet of Things (IoT), artificial intelligence (AI), and cloud computing has introduced new security threats and vulnerabilities. These bolstered entry points provide even more potential for data breaches and disruption. How to become a cybersecurity specialist?

Technology 93

Technology Risk Measurement IoT 93

datapine

AUGUST 20, 2019

Data Size: It implies the volume of data which is generated from various sources. Data Format: Data can have many formats, structured, semi-structured, & unstructured. Challenges of Data Ingestion. With the rapid increase in the number of IoT devices, volume and variance of data sources have magnified.

Big Data 100

Big Data B2B Cost-Benefit Structured Data 100

Data Virtualization

JANUARY 20, 2022

The post Go Fast and Far Using Data Virtualization appeared first on Data Virtualization blog - Data Integration and Modern Data Management Articles, Analysis and Information. Technologies change constantly within organizations and having a flexible architecture is key.

Data Architecture 52

Data Architecture Data Integration Technology Management 52

Data Virtualization

JANUARY 20, 2022

The post Go Fast and Far Using Data Virtualization to help you Go Fast and Go Far appeared first on Data Virtualization blog - Data Integration and Modern Data Management Articles, Analysis and Information. Technologies change constantly within organizations and having a flexible architecture is key.

Data Architecture 52

Data Architecture Data Integration Technology Management 52

IBM Big Data Hub

JANUARY 26, 2024

This integrated solution ensures the data integration and information sharing within the company, enhancing inter-system data connectivity to improve the efficiency and quality of maintenance work. production systems, IoT platforms etc.) of the client to optimize data sharing and business synergy.

Cost-Benefit 79

Cost-Benefit Enterprise Technology KPI 79

Data Virtualization

JUNE 2, 2023

The post The Energy Utilities Series: Challenges and Opportunities of Decarbonization (Post 2 of 6) appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information. Decarbonization is the process of transitioning from.

Data Integration 52

Data Integration Internet of Things Management Data Lake 52

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.

Manufacturing 83

Manufacturing Cost-Benefit Knowledge Discovery Optimization 83

Smart Data Collective

SEPTEMBER 26, 2019

Data Integration. Data integration is key for any business looking to keep abreast with the ever-changing technology landscape. As a result, companies are heavily investing in creating customized software, which calls for data integration. Real-Time Data Processing and Delivery.

Big Data 80

Big Data Software Unstructured Data Data Integration 80

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.

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.

Technology 97

Technology Digital Transformation Business Intelligence Data Warehouse 97

Cloudera

APRIL 15, 2019

While Cloudera Flow Management has been eagerly awaited by our Cloudera customers for use on their existing Cloudera platform clusters, Cloudera Edge Management has generated equal buzz across the industry for the possibilities that it brings to enterprises in their IoT initiatives around edge management and edge data collection.

Management 16

Management IoT Cost-Benefit Data Collection 16

AWS Big Data

DECEMBER 13, 2023

Using Amazon MSK, we securely stream data with a fully managed, highly available Apache Kafka service. Apache Kafka is an open-source distributed event streaming platform used by thousands of companies for high-performance data pipelines, streaming analytics, data integration, and mission-critical applications.

Data Warehouse 97

Data Warehouse Snapshot Data Processing Management 97

IBM Big Data Hub

MAY 15, 2024

Unified, governed data can also be put to use for various analytical, operational and decision-making purposes. This process is known as data integration, one of the key components to a strong data fabric. The remote execution engine is a fantastic technical development which takes data integration to the next level.

Cost-Benefit 72

Cost-Benefit Data Integration Data Architecture Manufacturing 72

CIO Business Intelligence

NOVEMBER 29, 2022

Here, I’ll highlight the where and why of these important “data integration points” that are key determinants of success in an organization’s data and analytics strategy. It’s the foundational architecture and data integration capability for high-value data products. Data and cloud strategy must align.

Data Architecture 98

Data Architecture Data Integration IoT Strategy 98

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. Remember that digital transformation is about transforming your business and operating models with technology.

Machine Learning 40

Machine Learning Technology Digital Transformation Data Science 40

IBM Big Data Hub

AUGUST 7, 2023

Transparency throughout the data lifecycle and the ability to demonstrate data integrity and consistency are critical factors for improvement. The ledger delivers tamper evidence, enabling the detection of any modifications made to the data, even if carried out by privileged users.

Data Governance 67

Data Governance Manufacturing Interactive IoT 67

David Menninger's Analyst Perspectives

JULY 23, 2019

Summit 2019, Information Builders' annual user conference, drew about 1000 attendees this year, including customers, partners and prospects all working with Information Builders' technologies. Under new leadership, Summit 2019 showcased the direction Information Builders is moving in the next couple of years.

Technology 168

Technology IoT Data Integration Big Data 168

DataKitchen

APRIL 13, 2021

RightData – A self-service suite of applications that help you achieve Data Quality Assurance, Data Integrity Audit and Continuous Data Quality Control with automated validation and reconciliation capabilities. QuerySurge – Continuously detect data issues in your delivery pipelines.

Testing 300

Testing Machine Learning Consulting Data Quality 300

Cloudera

FEBRUARY 4, 2019

One of the most promising technology areas in this merger that already had a high growth potential and is poised for even more growth is the Data-in-Motion platform called Hortonworks DataFlow (HDF). CDF, as an end-to-end streaming data platform, emerges as a clear solution for managing data from the edge all the way to the enterprise.

IoT 72

IoT Prescriptive Analytics Digital Transformation Internet of Things 72

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. Don’t they all do the same thing? Is this the paradox of choice?

Machine Learning 130

Machine Learning Cost-Benefit Data Transformation Testing 130

CIO Business Intelligence

MAY 24, 2022

However, more than 99 percent of respondents said they would migrate data to the cloud over the next two years. The Internet of Things (IoT) is a huge contributor of data to this growing volume, iotaComm estimates there are 35 billion IoT devices worldwide and that in 2025 all IoT devices combined will generate 79.4

Data-driven 80

Data-driven Data Lake Data Warehouse Cost-Benefit 80

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

DataRobot Blog

APRIL 1, 2018

Today, data integration is moving closer to the edges – to the business people and to where the data actually exists – the Internet of Things (IoT) and the Cloud. 4 Data and analytics leaders, CDOs, and executives will increasingly work together to develop creative ways for data assets to generate new revenue streams.

Analytics 40

Analytics IoT Internet of Things B2B 40

Octopai

JANUARY 31, 2022

But it is eminently possible that you were exposed to inaccurate data through no human fault.”. He goes on to explain: Reasons for inaccurate data. Integration of external data with complex structures. Big data is BIG. Some of these data assets are structured and easy to figure out how to integrate.

Metadata 77

Metadata IT Unstructured Data IoT 77

Smart Data Collective

OCTOBER 17, 2022

A point of data entry in a given pipeline. Examples of an origin include storage systems like data lakes, data warehouses and data sources that include IoT devices, transaction processing applications, APIs or social media. The final point to which the data has to be eventually transferred is a destination.

Data Warehouse 131

Data Warehouse Data Lake Visualization Big Data 131

IBM Big Data Hub

JANUARY 29, 2024

Other technologies include: Internet of Things (IoT) Microservices Digitization Examples of digital transformation Modernized tools example: Frito-Lay Snack food giant Frito-Lay decided to optimize its productivity across its systems and improve service to retailers with Salesforce.

Digital Transformation 74

Digital Transformation Consulting Internet of Things Recreation/Entertainment 74

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 hybrid model?

Data Warehouse 63

Data Warehouse Data Lake Cost-Benefit Modeling 63