CIO Business Intelligence

DECEMBER 20, 2024

Beyond breaking down silos, modern data architectures need to provide interfaces that make it easy for users to consume data using tools fit for their jobs. Data must be able to freely move to and from data warehouses, data lakes, and data marts, and interfaces must make it easy for users to consume that data.

Data Architecture 122

Data Architecture Management Consulting Internet of Things 122

Cloudera

JUNE 9, 2022

From origin through all points of consumption both on-prem and in the cloud, all data flows need to be controlled in a simple, secure, universal, scalable, and cost-effective way. controlling distribution while also allowing the freedom and flexibility to deliver the data to different services is more critical than ever. .

Data Collection 95

Data Collection IoT Data Lake Unstructured Data 95

CIO Business Intelligence

OCTOBER 25, 2022

That insight told them what data they would need, which in turn allowed ChampionX’s IT and Commercial Digital teams to discern who and what they needed to capture it. They needed IoT sensors, for example, to extract relevant data from the sites. So, they built a data-lake. The data lake, too, took on new purpose.

Data Strategy 145

Data Strategy Strategy Data Lake Data-driven 145

CIO Business Intelligence

JUNE 29, 2022

If you can’t make sense of your business data, you’re effectively flying blind. Insights hidden in your data are essential for optimizing business operations, finetuning your customer experience, and developing new products — or new lines of business, like predictive maintenance. Azure Data Lake Analytics.

Data Lake 116

Data Lake Analytics Data Warehouse Machine Learning 116

BizAcuity

MARCH 1, 2019

IoT is basically an exchange of data or information in a connected or interconnected environment. As IoT devices generate large volumes of data, AI is functionally necessary to make sense of this data. Data is only useful when it is actionable for which it needs to be supplemented with context and creativity.

IoT 56

IoT Internet of Things Big Data Data-driven 56

AWS Big Data

JULY 17, 2024

The surge in EVs brings with it a profound need for data acquisition and analysis to optimize their performance, reliability, and efficiency. The data can be used to do predictive maintenance, device anomaly detection, real-time customer alerts, remote device management, and monitoring.

Analytics 102

Analytics IoT Dashboards Data Lake 102

CIO Business Intelligence

MAY 16, 2024

But Parameswaran aims to parlay his expertise in analytics and AI to enact real-time inventory management and deploy IoT technologies such as sensors and trackers on industrial automation equipment and delivery trucks to accelerate procurement, inventory management, packaging, and delivery.

IoT 104

IoT Internet of Things Digital Transformation Sales 104

CIO Business Intelligence

MAY 21, 2024

In the annual Porsche Carrera Cup Brasil, data is essential to keep drivers safe and sustain optimal performance of race cars. Until recently, getting at and analyzing that essential data was a laborious affair that could take hours, and only once the race was over. You can monitor and act on the data and you can set thresholds.”

Broadcasting 126

Broadcasting Recreation/Entertainment Manufacturing Data Lake 126

Cloudera

JANUARY 30, 2023

Gartner defines dark data as “The information assets organizations collect, process and store during regular business activities, but generally fail to use for other purposes (for example, analytics, business relationships and direct monetizing).”

IoT 84

IoT Data Architecture Data Lake Machine Learning 84

Cloudera

MAY 9, 2023

The company also provides a variety of solutions for enterprises, including data centers, cloud, security, global, artificial intelligence (AI), IoT, and digital marketing services. Supporting Data Access to Achieve Data-Driven Innovation Due to the spread of COVID-19, demand for digital services has increased at SoftBank.

Data Lake 91

Data Lake IoT Data Governance Data Strategy 91

AWS Big Data

SEPTEMBER 5, 2024

Amazon Redshift , a warehousing service, offers a variety of options for ingesting data from diverse sources into its high-performance, scalable environment. With auto-copy, automation enhances the COPY command by adding jobs for automatic ingestion of data.

IoT 105

IoT Data Warehouse Cost-Benefit Reporting 105

AWS Big Data

JANUARY 8, 2024

In the subsequent post in our series, we will explore the architectural patterns in building streaming pipelines for real-time BI dashboards, contact center agent, ledger data, personalized real-time recommendation, log analytics, IoT data, Change Data Capture, and real-time marketing data.

Analytics 121

Analytics IoT Data-driven Snapshot 121

CIO Business Intelligence

DECEMBER 6, 2023

In consequence, there is a direct impact on lower energy costs, a reduction in the carbon footprint, decreased production waste costs, and increased utilization of equipment and workforce through data-driven planning and operations management.”

Manufacturing 97

Manufacturing Data Lake Digital Transformation Machine Learning 97

AWS Big Data

OCTOBER 25, 2024

Amazon Redshift is a fast, scalable, and fully managed cloud data warehouse that allows you to process and run your complex SQL analytics workloads on structured and semi-structured data. It also helps you securely access your data in operational databases, data lakes, or third-party datasets with minimal movement or copying of data.

Statistics 85

Statistics Data Warehouse Metadata Data Lake 85

CIO Business Intelligence

NOVEMBER 29, 2023

At the same time, Gerresheimer is building an IoT platform. “In In the future, we’ll connect all production and application servers to this and build our own data lake,” he says, adding that the next step will be to use AI there to learn from their own data.

IT 105

IT Data Lake Strategy IoT 105

Cloudera

JANUARY 30, 2024

As we navigate the fourth and fifth industrial revolution, AI technologies are catalyzing a paradigm shift in how products are designed, produced, and optimized. But with this data — along with some context about the business and process — manufacturers can leverage AI as a key building block to develop and enhance operations.

Manufacturing 81

Manufacturing Contextual Data IoT Internet of Things 81

BizAcuity

NOVEMBER 22, 2022

This typically requires a data warehouse for analytics needs that is able to ingest and handle real time data of huge volumes. Snowflake is a cloud-native platform that eliminates the need for separate data warehouses, data lakes, and data marts allowing secure data sharing across the organization.

Data Warehouse 98

Data Warehouse Cost-Benefit Data Lake Internet of Things 98

AWS Big Data

APRIL 11, 2023

Accurately predicting demand for products allows businesses to optimize inventory levels, minimize stockouts, and reduce holding costs. Such a solution should use the latest technologies, including Internet of Things (IoT) sensors, cloud computing, and machine learning (ML), to provide accurate, timely, and actionable data.

Forecasting 80

Forecasting Management IoT Data-driven 80

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

CIO Business Intelligence

APRIL 11, 2022

billion connected Internet of Things (IoT) devices by 2025, generating almost 80 billion zettabytes of data at the edge. This next manifestation of centralized data strategy emanates from past experiences with trying to coalesce the enterprise around a large-scale monolithic data lake. over last year.

Optimization 52

Optimization Data Lake Internet of Things Data Strategy 52

CIO Business Intelligence

OCTOBER 30, 2024

Some are large, spread over more than two square miles, and they run on manual processes that require significant time on data entry and data collection across several non-integrated systems. So we’re turning them into smart plants, self-optimized and autonomous. What approach are you taking to ensure ROI on these investments?

Digital Transformation 118

Digital Transformation Manufacturing IT Data Lake 118

AWS Big Data

MAY 16, 2024

Because of this, many organizations are utilizing them as a support geography, aggregating their data to these grids to optimize both their storage and analysis. Indexed data can be quickly joined across different datasets and aggregated at different levels of precision. To learn more, visit CARTO.

Data Warehouse 117

Data Warehouse Visualization Cost-Benefit Optimization 117

Corinium

APRIL 25, 2019

And it’s become a hyper-competitive business, so enhancing customer service through data is critical for maintaining customer loyalty. And more recently, we have also seen innovation with IOT (Internet Of Things). In data-driven organizations, data is flowing.

Insurance 150

Insurance Risk IoT Cost-Benefit 150

IBM Big Data Hub

APRIL 15, 2024

Facing a constant onslaught of cost pressures, supply chain volatility and disruptive technologies like 3D printing and IoT. The industry must continually optimize process, improve efficiency, and improve overall equipment effectiveness. Or we create a data lake, which quickly degenerates to a data swamp.

Manufacturing 92

Manufacturing Contextual Data Knowledge Discovery Data Lake 92

AWS Big Data

AUGUST 1, 2024

This includes the ETL processes that capture source data, the functional refinement and creation of data products, the aggregation for business metrics, and the consumption from analytics, business intelligence (BI), and ML. This will enable right-sizing the Redshift data warehouse to meet workload demands cost-effectively.

Data Warehouse 96

Data Warehouse KPI Optimization Cost-Benefit 96

AWS Big Data

MARCH 7, 2023

Flexible and easy to use – The solutions should provide less restrictive, easy-to-access, and ready-to-use data. They should also provide optimal performance with low or no tuning. A data hub contains data at multiple levels of granularity and is often not integrated. Data repositories represent the hub.

Analytics 75

Analytics Data Warehouse Data Lake Metadata 75

CIO Business Intelligence

JULY 12, 2023

However, some things are common to virtually all types of manufacturing: expensive equipment and trained human operators are always required, and both the machinery and the people need to be deployed in an optimal manner to keep costs down. We created a data lake, so we have access to all that data in a very efficient way,” says Papermaster.

Manufacturing 98

Manufacturing Cost-Benefit Data Lake Optimization 98

AWS Big Data

FEBRUARY 6, 2023

Additionally, a TCO calculator generates the TCO estimation of an optimized EMR cluster for facilitating the migration. For optimizing EMR cluster cost effectiveness, the following table provides general guidelines of choosing the proper type of EMR cluster and Amazon Elastic Compute Cloud (Amazon EC2) family.

Dashboards 80

Dashboards Optimization Data Lake Cost-Benefit 80

Cloudera

MAY 12, 2021

Use cases could include but are not limited to: predictive maintenance, log data pipeline optimization, connected vehicles, industrial IoT, fraud detection, patient monitoring, network monitoring, and more. DATA FOR ENTERPRISE AI. Nominations for the 2021 Cloudera Data Impact Awards are open from now until July 23.

Digital Transformation 70

Digital Transformation Machine Learning Optimization Data Lake 70

Cloudera

SEPTEMBER 15, 2023

This information is essential for the management of the telco business, from fault resolution to making sure families have the right content package for their needs, to supply chain dashboards for businesses based on IoT data. Access and the exchange of data is critical for managing the operations in many industries.

Strategy 81

Strategy Advertising IoT B2B 81

Cloudera

SEPTEMBER 6, 2022

Previously, there were three types of data structures in telco: . Entity data sets — i.e. marketing data lakes . There are three major architectures under the modern data architecture umbrella. . Optimization Data lakehouse is the platform wherein the data assets reside.

Data Architecture 84

Data Architecture Cost-Benefit Digital Transformation Business Driver 84

Sisense

MAY 11, 2021

The reasons for this are simple: Before you can start analyzing data, huge datasets like data lakes must be modeled or transformed to be usable. According to a recent survey conducted by IDC , 43% of respondents were drawing intelligence from 10 to 30 data sources in 2020, with a jump to 64% in 2021!

Modeling 84

Modeling Big Data IoT Data Warehouse 84

CIO Business Intelligence

APRIL 18, 2023

Cloud-based network management increases agility and allows resource-constrained IT departments to focus on optimizing the network, not deploying, managing, or upgrading the network management system. Start using APs as an IoT gateway. Zigbee, or USB ports, IT can securely onboard IoT devices and streamline management.

IoT 52

IoT Internet of Things Data Lake Optimization 52

IBM Big Data Hub

JANUARY 18, 2023

A read-optimized platform that can integrate data from multiple applications emerged. In another decade, the internet and mobile started the generate data of unforeseen volume, variety and velocity. It required a different data platform solution. Value of the data projects are difficult to realize.

Data Lake 52

Data Lake Data Warehouse Data-driven Metadata 52

AWS Big Data

NOVEMBER 14, 2023

Ten years ago, we launched Amazon Kinesis Data Streams , the first cloud-native serverless streaming data service, to serve as the backbone for companies, to move data across system boundaries, breaking data silos. Next, let’s go back to the NHL use case where they combine IoT, data streaming, and machine learning.

IoT 59

IoT Data-driven Data Lake Data Strategy 59

BizAcuity

APRIL 1, 2023

This typically requires a data warehouse for analytics needs that is able to ingest and handle real time data of huge volumes. Snowflake is a cloud-native platform that eliminates the need for separate data warehouses, data lakes, and data marts allowing secure data sharing across the organization.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Lake Internet of Things 52

AWS Big Data

FEBRUARY 6, 2023

When migrating Hadoop workloads to Amazon EMR , it’s often difficult to identify the optimal cluster configuration without analyzing existing workloads by hand. It enables compute such as EMR instances and storage such as Amazon Simple Storage Service (Amazon S3) data lakes to scale. For more information, see the GitHub repo.

Cost-Benefit 52

Cost-Benefit Data Lake Dashboards Big Data 52