Jet Global

JULY 2, 2019

To address the flood of data and the needs of enterprise businesses to store, sort, and analyze that data, a new storage solution has evolved: the data lake. What’s in a Data Lake? Data warehouses do a great job of standardizing data from disparate sources for analysis. Taking a Dip.

Data Lake 73

Data Lake Data Warehouse Big Data Machine Learning 73

David Menninger's Analyst Perspectives

MAY 20, 2019

The emerging internet of things (IoT) is an extension of digital connectivity to devices and sensors in homes, businesses, vehicles and potentially almost anywhere.

Internet of Things 208

Internet of Things IoT Analytics Optimization 208

CIO Business Intelligence

FEBRUARY 20, 2025

This allows for the extraction and integration of data into AI models without overhauling entire platforms, Erolin says. CIOs should also use data lakes to aggregate information from multiple sources, he adds. AI models can then access the data they need without direct reliance on outdated apps.

Insurance 108

Insurance Cost-Benefit Unstructured Data Data Lake 108

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. But seriously, reporting?

Reporting 134

Reporting Analytics IT Data Lake 134

Corinium

JUNE 6, 2019

Some of the work is very foundational, such as building an enterprise data lake and migrating it to the cloud, which enables other more direct value-added activities such as self-service. In the long run, we see a steep increase in the proliferation of all types of data due to IoT which will pose both challenges and opportunities.

Insurance 250

Insurance Analytics Forecasting Deep Learning 250

CIO Business Intelligence

JUNE 29, 2022

Azure Data Explorer is used to store and query data in services such as Microsoft Purview, Microsoft Defender for Endpoint, Microsoft Sentinel, and Log Analytics in Azure Monitor. Azure Data Lake Analytics. Data warehouses are designed for questions you already know you want to ask about your data, again and again.

Data Lake 116

Data Lake Analytics Data Warehouse Machine Learning 116

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

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

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 94

Data Collection IoT Data Lake Unstructured Data 94

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. “To

Finance 145

Finance IoT Digital Transformation Sales 145

CIO Business Intelligence

AUGUST 9, 2024

The original proof of concept was to have one data repository ingesting data from 11 sources, including flat files and data stored via APIs on premises and in the cloud, Pruitt says. 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 Transformation 126

Data Transformation Machine Learning Data Lake Dashboards 126

CIO Business Intelligence

JUNE 14, 2024

Organizaciones expertas en el negocio turístico, la personalización de la experiencia del viajero, la transformación del espacio turístico, la digitalización, las plataformas inteligentes que integran datos, el desarrollo de software sectorial, el big data y las soluciones IoT y de sensorización conforman este nuevo hub.

Data Lake 105

Data Lake IoT Big Data Software 105

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. Before I pick top tools later in this post, here’s what you should be knowing.

Data Warehouse 145

Data Warehouse Data Lake Visualization Big Data 145

CIO Business Intelligence

MAY 23, 2022

McDermott’s sustainability innovation would not have been possible without key advancements in the cloud, analytics, and, in particular, data lakes, Dave notes. But for Dave, the key ingredient for innovation at McDermott is data. Vagesh Dave. McDermott International. The structures for mining this fuel?

Data Lake 105

Data Lake Data mining IoT Digital Transformation 105

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. These things have not been done at this scale in the manufacturing space to date, he says.

Manufacturing 145

Manufacturing Digital Transformation IoT Internet of Things 145

CIO Business Intelligence

DECEMBER 1, 2022

The company is also refining its data analytics operations, and it is deploying advanced manufacturing using IoT devices, as well as AI-enhanced robotics. We expect within the next three years, the majority of our applications will be moved to the cloud.”

Digital Transformation 144

Digital Transformation IoT Data-driven KPI 144

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

Data Science 101

NOVEMBER 7, 2019

Azure Synapse Analytics can be seen as a merge of Azure SQL Data Warehouse and Azure Data Lake. Synapse allows one to use SQL to query petabytes of data, both relational and non-relational, with amazing speed. Azure Arc allows deployment and management of Azure services to any environment which can run Kubernetes.

Data Science 106

Data Science Machine Learning Data Lake Visualization 106

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

Sisense

JUNE 11, 2019

If this sounds intense, that’s because companies of all shapes and sizes who don’t reckon with the trends changing the data world will be in trouble. Trends Changing Big Data. First off, IoT, the Internet of Things. The IoT is everywhere and there are more pieces of technology connected to it every day. are all things.

Big Data 73

Big Data Slice and Dice IoT Data Lake 73

CIO Business Intelligence

MAY 21, 2024

Real-Time Intelligence, on the other hand, takes that further by supporting data in AWS, Google Cloud Platform, Kafka installations, and on-prem installations. “We We introduced the Real-Time Hub,” says Arun Ulagaratchagan, CVP, Azure Data at Microsoft. You can monitor and act on the data and you can set thresholds.”

Broadcasting 126

Broadcasting Recreation/Entertainment Manufacturing Data Lake 126

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. based company’s elevators smarter.

Internet of Things 105

Internet of Things IoT Manufacturing Machine Learning 105

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 90

Data Lake IoT Data Governance Data-driven 90

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. In modern hybrid environments, data traverses clouds, on-premise infrastructure and IoT networks, so the process can get very complex.

Data Lake 88

Data Lake Internet of Things IoT Data-driven 88

Data Virtualization

AUGUST 26, 2020

Recently, we have seen the rise of new technologies like big data, the Internet of things (IoT), and data lakes. But we have not seen many developments in the way that data gets delivered. Modernizing the data infrastructure is the.

Data Architecture 59

Data Architecture Internet of Things Data Lake IoT 59

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 83

IoT Data Architecture Data Lake Machine Learning 83

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. In this example, we use Amazon MSK as the streaming source for IoT telemetry data. The materialized view will automatically refresh as new data arrives in the Kafka topic.

IoT 106

IoT Data Warehouse Cost-Benefit Reporting 106

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

AWS Big Data

DECEMBER 16, 2024

About the Authors Chiho Sugimoto is a Cloud Support Engineer on the AWS Big Data Support team. She is passionate about helping customers build data lakes using ETL workloads. Noritaka Sekiyama is a Principal Big Data Architect on the AWS Glue team. To learn more, refer to Amazon SageMaker Unified Studio.

Visualization 71

Visualization Data Processing Testing Publishing 71

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 123

Analytics IoT Data-driven Snapshot 123

Boris Evelson

NOVEMBER 14, 2018

Over the last five years, most large enterprises have slowly but surely matured from being data-aware to data-driven.

Data-driven 96

Data-driven Data Lake Data Warehouse Business Intelligence 96

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. Choose Next.

Data Analytics 84

Data Analytics Analytics IoT Data Lake 84

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

CIO Business Intelligence

DECEMBER 6, 2023

We collect lots of sensor data on machine performance, vibration data, temperature data, chemical data, and we like to have performative combinations of those datasets,” Dickson says.

Manufacturing 97

Manufacturing Data Lake Machine Learning Digital Transformation 97

CIO Business Intelligence

SEPTEMBER 16, 2024

Inoltre, il software si lega all’uso di dispositivi IoT e AI per raccogliere e analizzare i dati nei data lake per fare monitoraggio, efficientamento e forecasting.

IoT 111

IoT Software Data Lake Forecasting 111

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

CIO Business Intelligence

SEPTEMBER 12, 2022

Collectively, the agencies also have pilots up and running to test electric buses and IoT sensors scattered throughout the transportation system. But those are broad plans that involve several transportation agencies and multimillion-dollar capital expenditures. Lookman Fazal, chief information and digital officer, NJ Transit.

Data Warehouse 116

Data Warehouse Predictive Analytics Data Lake IoT 116