Cloudera

MAY 9, 2019

The number one challenge that enterprises struggle with their IoT implementation is not being able to measure if they are successful or not with it. Most of the enterprises start an IoT initiative without assessing their potential prior hand to be able to complete it. The five dimensions of the readiness model are –.

IoT 56

IoT Modeling Metrics Measurement 56

FineReport

JUNE 29, 2023

The Internet of Things (IoT) has revolutionized the way we interact with devices and gather data. Among the tools that have emerged from this digital transformation, IoT dashboards stand out as invaluable assets. IoT dashboards What is IoT Dashboard?

IoT 52

IoT Dashboards Visualization Cost-Benefit 52

AWS Big Data

DECEMBER 16, 2024

Third, some services require you to set up and manage compute resources used for federated connectivity, and capabilities like connection testing and data preview arent available in all services. To solve for these challenges, we launched Amazon SageMaker Lakehouse unified data connectivity.

Visualization 94

Visualization Data Processing Testing Publishing 94

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 134

Reporting Analytics IT Data Lake 134

Cloudera

DECEMBER 18, 2018

Defining these is, therefore, a crucial element, and Cloudera is now taking part in just that for the biggest revolution we’ve seen in business and society: the Internet of Things (IoT). Standards for IoT. Architecture for IoT. Connectivity is a pretty well-defined part of the IoT puzzle. Open source for IoT.

IoT 43

IoT Internet of Things Machine Learning Insurance 43

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 111

Data Architecture Data Integration IoT Data-driven 111

CIO Business Intelligence

AUGUST 3, 2022

When Cargill started putting IoT sensors into shrimp ponds, then CIO Justin Kershaw realized that the $130 billion agricultural business was becoming a digital business. To help determine where IT should stop and IoT product engineering should start, Kershaw did not call CIOs of other food and agricultural businesses to compare notes.

Finance 145

Finance IoT Digital Transformation Sales 145

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 17

Management IoT Data Collection Cost-Benefit 17

CIO Business Intelligence

JULY 18, 2024

Emerging technologies are transforming organizations of all sizes, but with the seemingly endless possibilities they bring, they also come with new challenges surrounding data management that IT departments must solve. Often organizations struggle with data replication, synchronization, and performance.

Management 111

Management Internet of Things IoT Metadata 111

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 145

Manufacturing Digital Transformation IoT Internet of Things 145

Data Virtualization

OCTOBER 27, 2023

Kafka is used when real-time data streaming and event-driven architectures with scalable data processing are essential.

Data Integration 52

Data Integration Data-driven Data Processing Management 52

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 145

Data Warehouse Data Lake Visualization Big Data 145

CIO Business Intelligence

SEPTEMBER 23, 2024

Data-driven insights are only as good as your data Imagine that each source of data in your organization—from spreadsheets to internet of things (IoT) sensor feeds—is a delegate set to attend a conference that will decide the future of your organization. Addressing this complex issue requires a multi-pronged approach.

Manufacturing 122

Manufacturing Internet of Things Metadata Risk 122

CIO Business Intelligence

AUGUST 9, 2024

“There are a lot of variables that determine what should go into the data lake and what will probably stay on premise,” Pruitt says. Data integrity presented a major challenge for the team, as there were many instances of duplicate data. Identifying and eliminating Excel flat files alone was very time consuming.

Data Transformation 126

Data Transformation Machine Learning Data Lake Dashboards 126

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 73

IoT Prescriptive Analytics Internet of Things Digital Transformation 73

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

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

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 101

Big Data Software Unstructured Data Data Integration 101

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 136

Data Strategy Strategy Unstructured Data Data Governance 136

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 123

Technology Risk Measurement Data-driven 123

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 67

Cost-Benefit Data Integration Data Architecture Manufacturing 67

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 69

Digital Transformation Internet of Things IoT Consulting 69

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

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

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

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

Jet Global

OCTOBER 9, 2024

Challenges of Implementing Real-Time Data Solutions Implementing real-time data analytics can be transformative, but it’s not without challenges. Organizations often face hurdles around data integration, system complexity, and compliance with data privacy regulations.

Prescriptive Analytics 52

Prescriptive Analytics IoT Internet of Things Cost-Benefit 52

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

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 97

Metadata IT Unstructured Data IoT 97

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 115

Technology Digital Transformation Data Warehouse Business Intelligence 115

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. About the Author: Lakshmi Randall is Director of Product Marketing at Cloudera, the enterprise data cloud company.

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 hybrid model?

Data Warehouse 93

Data Warehouse Data Lake Cost-Benefit Metadata 93

AWS Big Data

SEPTEMBER 11, 2024

Aruba offers networking hardware like access points, switches, routers, software, security devices, and Internet of Things (IoT) products. AWS Transfer Family seamlessly integrates with other AWS services, automates transfer, and makes sure data is protected with encryption and access controls.

Data Architecture 111

Data Architecture Optimization Data Warehouse Metadata 111

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 Machine Learning 40

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. The post How Cloudera Data Flow Enables Successful Data Mesh Architectures appeared first on Cloudera Blog.

Metadata 124

Metadata Cost-Benefit Enterprise Interactive 124

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

AWS Big Data

SEPTEMBER 10, 2024

AWS Glue, with its ability to process data using Apache Spark and connect to various data sources, is a suitable solution for addressing the challenges of accessing data across multiple cloud environments. Pramod Kumar P is a Solutions Architect at Amazon Web Services.

Data Lake 111

Data Lake Metadata Management Software 111