CIO Business Intelligence

JUNE 20, 2022

Otis One’s cloud-native platform is built on Microsoft Azure and taps into a Snowflake data lake. IoT sensors send elevator data to the cloud platform, where analytics are applied to support business operations, including reporting, data visualization, and predictive modeling. From the edge to the cloud.

Internet of Things 105

Internet of Things IoT Manufacturing Machine Learning 105

AWS Big Data

OCTOBER 3, 2023

In our previous post Improve operational efficiencies of Apache Iceberg tables built on Amazon S3 data lakes , we discussed how you can implement solutions to improve operational efficiencies of your Amazon Simple Storage Service (Amazon S3) data lake that is using the Apache Iceberg open table format and running on the Amazon EMR big data platform.

Optimization 122

Optimization Snapshot Data Lake Metadata 122

CIO Business Intelligence

OCTOBER 1, 2022

The partners say they will create the future of digital manufacturing by leveraging the industrial internet of things (IIoT), digital twin , data, and AI to bring products to consumers faster and increase customer satisfaction, all while improving productivity and reducing costs.

Manufacturing 145

Manufacturing Digital Transformation IoT Internet of Things 145

CIO Business Intelligence

MAY 16, 2024

What’s also going to change this farm-to-table business is how we exploit the internet of things,” Parameswaran says, adding that he is considering employing blockchain technology to digitize Baldor’s supply chain.

IoT 104

IoT Internet of Things Digital Transformation Sales 104

David Menninger's Analyst Perspectives

APRIL 8, 2021

Organizations are accelerating their digital transformation and looking for innovative ways to engage with customers in this new digital era of data management. The goal is to understand how to manage the growing volume of data in real time, across all sources and platforms, and use it to inform, streamline and transform internal operations.

Management 251

Management Digital Transformation Business Intelligence Internet of Things 251

Cloudera

AUGUST 18, 2021

For those models to produce meaningful outcomes, organizations need a well-defined data lifecycle management process that addresses the complexities of capturing, analyzing, and acting on data. If the data goes into a data lake before analysis, extracting it can get pretty complex and time-consuming.

Data Lake 88

Data Lake Internet of Things IoT Data-driven 88

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

Cloudera

AUGUST 27, 2020

With customer-centricity in mind, Manulife set out to find ways of gathering scattered and locked up customer data and bringing it together to provide real-time data insights to the business users. They wanted a holistic view of their customers, in order to provide better services.

Internet of Things 102

Internet of Things Data Lake Uncertainty IoT 102

CIO Business Intelligence

SEPTEMBER 8, 2022

To access data in real time — and ensure that it provides actionable insights for all stakeholders — organizations should invest in the foundational components that enable more efficient, scalable, and secure data collection, processing, and analysis.

Cost-Benefit 122

Cost-Benefit Internet of Things Data-driven Data Lake 122

Sisense

JUNE 11, 2019

Three trends we want to cover regarding the evolution of Big Data are the continued growth of IoT , the expanded array of querying techniques , and the rise of the cloud. First off, IoT, the Internet of Things. The Internet has always, technically, been on “things”. are all things. What’s Next?

Big Data 73

Big Data Slice and Dice IoT Data Lake 73

CIO Business Intelligence

FEBRUARY 28, 2023

This year’s event will explore themes of 5G acceleration, immersive technology, open networks, fintech, and ‘Digital Everything’, encompassing intelligent solutions, Internet-of-Things, Industry 4.0, Experts tout 2023 to be the year when new AI-powered tools and services make their presence felt across industries.

Internet of Things 98

Internet of Things Digital Transformation Data Lake Enterprise 98

AWS Big Data

MAY 30, 2023

Customers have been using data warehousing solutions to perform their traditional analytics tasks. Recently, data lakes have gained lot of traction to become the foundation for analytical solutions, because they come with benefits such as scalability, fault tolerance, and support for structured, semi-structured, and unstructured datasets.

Data Lake 87

Data Lake Data Analytics Analytics Data Processing 87

erwin

DECEMBER 13, 2018

Managing data from going over the edge: Edge computing will continue to take hold. And while speed of data is driving its adoption, organizations will also need to view, manage and secure this data and bring it into an automated pipeline.

Data Governance 91

Data Governance IoT Internet of Things Data-driven 91

David Menninger's Analyst Perspectives

MAY 13, 2019

Organizations now must store, process and use data of significantly greater volume and variety than in the past.

Business Analytics 180

Business Analytics Big Data Analytics Enterprise 180

CIO Business Intelligence

JULY 17, 2023

It’s about possessing meaningful data that helps make decisions around product launches or product discontinuations, because we have information at the product and region level, as well as margins, profitability, transport costs, and so on. How is Havmor leveraging emerging technologies such as cloud, internet of things (IoT), and AI?

IT 98

IT Digital Transformation IoT Internet of Things 98

Cloudera

JANUARY 30, 2024

According to Gartner , 80 percent of manufacturing CEOs are increasing investments in digital technologies—led by artificial intelligence (AI), Internet of Things (IoT), data, and analytics. Add appropriate contextual data (IT/business data), which is critical in AI analysis of manufacturing data.

Manufacturing 81

Manufacturing Contextual Data IoT Internet of Things 81

Sanjeev Mohan

FEBRUARY 28, 2018

However, most data privacy discussions veered towards the EU GDPR ([link] which is now less than 100 days away from enforcement (May 25, 2018). Data warehouse modernization was a common theme followed by developing data lakes. Migrating to the cloud was very high on everyone’s priority.

Management 52

Management Internet of Things Data Lake IoT 52

AWS Big Data

MARCH 7, 2023

A data hub contains data at multiple levels of granularity and is often not integrated. It differs from a data lake by offering data that is pre-validated and standardized, allowing for simpler consumption by users. Data hubs and data lakes can coexist in an organization, complementing each other.

Analytics 78

Analytics Data Warehouse Data Lake Metadata 78

BizAcuity

MARCH 1, 2019

There is a coherent overlap between the Internet of Things and Artificial Intelligence. IoT is basically an exchange of data or information in a connected or interconnected environment. At the backend, based on the data collected, data is stored in data lakes. Evolution of Internet of Things.

IoT 56

IoT Internet of Things Big Data Data-driven 56

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). Process millions of real-time messages per second to feed into your data lake or for immediate streaming analytics.

IoT 73

IoT Prescriptive Analytics Internet of Things Digital Transformation 73

AWS Big Data

APRIL 11, 2023

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. However, analyzing large volumes of data can be a time-consuming and resource-intensive task. This is where Athena come in.

Forecasting 83

Forecasting Management IoT Data-driven 83

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

In(tegrate) the Clouds

AUGUST 4, 2016

Also driving this trend is the fact that cloud data warehousing and analytics have moved from rogue departmental use cases to enterprise deployments. The third trend is the Internet of Things (IoT). It’s already happening today in some industries with data velocity, variety, and, of course, volume.

IoT 45

IoT Internet of Things Data Lake Data Warehouse 45

Sisense

OCTOBER 6, 2020

When these systems connect with external groups — customers, subscribers, shareholders, stakeholders — even more data is generated, collected, and exchanged. The result, as Sisense CEO Amir Orad wrote , is that every company is now a data company. Qualitative data benefits: Unlocking understanding.

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98

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. He has over 14 years of experience in data and analytics, and helps customers design and build scalable and high-performant analytics solutions. Sudipta Bagchi is a Sr.

IoT 106

IoT Data Warehouse Cost-Benefit Reporting 106

AWS Big Data

JANUARY 8, 2024

Modern data streaming architecture with Kinesis Data Streams A modern streaming data architecture with Kinesis Data Streams can be designed as a stack of five logical layers; each layer is composed of multiple purpose-built components that address specific requirements, as illustrated in the following diagram: The architecture consists of the following (..)

Analytics 123

Analytics IoT Data-driven Snapshot 123

CIO Business Intelligence

FEBRUARY 12, 2024

La trasformazione digitale implica il passaggio graduale alla nuova data platform per raccogliere e aggregare i dati dal data lake (con sistemi BIM, Business Information Modelling) e poi metterli su cruscotti e condurre le analisi con la business intelligence.

Digital Transformation 98

Digital Transformation Management Business Intelligence Internet of Things 98

In(tegrate) the Clouds

DECEMBER 21, 2015

From AWS Aurora and Redshift for database management and data warehousing, to AWS GovCloud, which brings public cloud options to US government agencies, AWS continues to set the cloud computing standard for enterprise IT organizations and independent software vendors (ISVs). 2016 will be the year of the data lake.

Technology 45

Technology Internet of Things Digital Transformation Big Data 45

CIO Business Intelligence

APRIL 18, 2023

2] AIOps can help identify areas for optimization using existing hardware by combing through a tsunami of data faster than any human ever could. 96% of corporate networks have or will have Internet of Things devices and sensors connecting to them[3]. Adopt AI to better leverage existing hardware investments.

IoT 52

IoT Internet of Things Data Lake Optimization 52

AWS Big Data

DECEMBER 13, 2023

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. Internet-of-Things [ IoT] devices, system telemetry data, or clickstream data) from a busy website or application.

Data Warehouse 110

Data Warehouse Snapshot Data Processing Internet of Things 110

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

AUGUST 1, 2024

We can determine the following are needed: An open data format ingestion architecture processing the source dataset and refining the data in the S3 data lake. This requires a dedicated team of 3–7 members building a serverless data lake for all data sources. Vijay Bagur is a Sr.

Data Warehouse 99

Data Warehouse KPI Optimization Cost-Benefit 99

CIO Business Intelligence

APRIL 6, 2022

Improved connectivity, including increased availability of 5G capabilities, coupled with cost-effective edge processing power, is driving the deluge of data that exists outside centralized repositories and traditional data centers. According to IDC estimates , there will be 55.7 over 2021.

Data Strategy 52

Data Strategy Strategy Internet of Things Data Warehouse 52

Cloudera

JANUARY 22, 2019

Forrester describes Big Data Fabric as, “A unified, trusted, and comprehensive view of business data produced by orchestrating data sources automatically, intelligently, and securely, then preparing and processing them in big data platforms such as Hadoop and Apache Spark, data lakes, in-memory, and NoSQL.”.

Big Data 44

Big Data Data Lake Internet of Things Enterprise 44

AWS Big Data

JUNE 29, 2023

In our solution, we create a notebook to access automotive sensor data, enrich the data, and send the enriched output from the Kinesis Data Analytics Studio notebook to an Amazon Kinesis Data Firehose delivery stream for delivery to an Amazon Simple Storage Service (Amazon S3) data lake.

Data Analytics 84

Data Analytics Analytics IoT Data Lake 84

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

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