AWS Big Data

APRIL 12, 2024

Streaming data refers to data that is continuously generated from a variety of sources. The sources of this data, such as clickstream events, change data capture (CDC), application and service logs, and Internet of Things (IoT) data streams are proliferating.

Data Architecture 88

Data Architecture IoT Internet of Things Recreation/Entertainment 88

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. Data ingestion and storage Retail businesses have event-driven data that requires action from downstream processes.

Forecasting 72

Forecasting Management IoT Data-driven 72

erwin

OCTOBER 16, 2020

And this time sensitivity is a massive issue, as taking a proactive and data-driven approach can literally mean life or death to your business or to your customers. And that’s where data analytics can play a huge role.

Internet of Things 145

Internet of Things Data-driven Uncertainty Data Governance 145

Sisense

OCTOBER 15, 2020

Dealing with Data is your window into the ways data teams are tackling the challenges of this new world to help their companies and their customers thrive. Streaming data analytics is expected to grow into a $38.6 The best architecture for that is called “event sourcing.” billion market by 2025.

Dashboards 98

Dashboards IoT Optimization Internet of Things 98

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. Debezium MySQL source Kafka Connector reads these change events and emits them to the Kafka topics in Amazon MSK.

Data Warehouse 94

Data Warehouse Snapshot Data Processing Management 94

CIO Business Intelligence

JUNE 30, 2023

We did things and we recorded what happened and we stored the results. Then we went back and analyzed that data at rest. We have now moved upstream to where we are analyzing and acting upon the events as they happen,” said Adrian. Using data to drive decisions is clearly the ultimate goal of a strategy-driven approach to data.

Internet of Things 104

Internet of Things Strategy Data Strategy Risk 104

erwin

JUNE 11, 2020

Big IT companies even have off-the-shelf data analytics software ready to be configured by a company to their needs. Apply real-time data in marketing strategies. Real-time data analytics can be used by businesses to better meet customer needs as it arises and improve customer satisfaction. Expanding big data.

Key Performance Indicator 103

Key Performance Indicator KPI Data-driven Machine Learning 103

Smart Data Collective

NOVEMBER 25, 2019

New Avenues of Data Discovery. New data-collection technologies , like internet of things (IoT) devices, are providing businesses with vast banks of minute-to-minute data unlike anything collected before. Instead, they’ll turn to big data technology to help them work through and analyze this data.

Business Intelligence 102

Business Intelligence Predictive Analytics Data Collection Internet of Things 102

Smart Data Collective

MAY 7, 2023

Such strategies should include awareness and prevention, detection, and response plans that you can quickly activate in the event of an attack. This has enabled even inexperienced cyber criminals to launch successful attacks, making it more critical than ever for organizations to take the necessary steps to protect their data.

Digital Transformation 107

Digital Transformation Risk Strategy Testing 107

AWS Big Data

JUNE 29, 2023

Amazon Kinesis Data Analytics makes it easy to transform and analyze streaming data in real time. In this post, we discuss why AWS recommends moving from Kinesis Data Analytics for SQL Applications to Amazon Kinesis Data Analytics for Apache Flink to take advantage of Apache Flink’s advanced streaming capabilities.

Data Analytics 71

Data Analytics Analytics IoT Data Lake 71

IBM Big Data Hub

FEBRUARY 23, 2024

Predictive analytics integrates with NLP, ML and DL to enhance decision-making capabilities, extract insights, and use historical data to forecast future behavior, preferences and trends. ML and DL lie at the core of predictive analytics, enabling models to learn from data, identify patterns and make predictions about future events.

Enterprise 106

Enterprise Interactive Data-driven Key Performance Indicator 106

Cloudera

AUGUST 28, 2018

These thought leaders in data management and analytics represent all areas of the industry from executives and industry analysts to professors and media experts. Once again, thank you to the global team of 25 judges who selected the Data Impact Award finalists: Tony Baer , Principal Analyst, Ovum, @TonyBaer.

Digital Transformation 67

Digital Transformation Consulting Machine Learning IoT 67

AWS Big Data

MAY 23, 2023

2022 , with Apache Flink, and provide a working example that will help you get started on a managed Apache Flink solution using Amazon Kinesis Data Analytics. It supports ingestion, manipulation, and delivery of data to the desired destinations. A Flink program can be implemented in Java, Scala, or Python.

Data Analytics 88

Data Analytics Analytics Visualization Key Performance Indicator 88

AWS Big Data

MARCH 20, 2024

In a streaming architecture, you may have event producers, stream storage, and event consumers in a single account or spread across different accounts depending on your business and IT requirements. Amazon Kinesis Data Streams enables real-time processing of streaming data at scale.

Internet of Things 105

Internet of Things IoT Manufacturing Data Processing 105

AWS Big Data

MAY 30, 2023

However, there is a challenge to ingest datasets, such as Internet of Things (IoT) and clickstreams, at a fast rate with near-real-time delivery SLAs. You will also want to apply incremental updates with change data capture (CDC) from the source system to the destination.

Data Lake 76

Data Lake Data Analytics Analytics Data Processing 76

Corinium

APRIL 25, 2019

Ahead of the Chief Data Analytics Officers & Influencers, Insurance event we caught up with Dominic Sartorio, Senior Vice President for Products & Development, Protegrity to discuss how the industry is evolving. And more recently, we have also seen innovation with IOT (Internet Of Things).

Insurance 150

Insurance Risk IoT Cost-Benefit 150

CIO Business Intelligence

OCTOBER 18, 2023

German healthcare company Fresenius Medical Care, which specializes in providing kidney dialysis services, is using a combination of near real-time IoT data and clinical data to predict one of the most common complications of the procedure.

Predictive Analytics 133

Predictive Analytics Analytics Machine Learning Digital Transformation 133

CIO Business Intelligence

MAY 24, 2022

Organisations have to contend with legacy data and increasing volumes of data spread across multiple silos. To meet these demands many IT teams find themselves being systems integrators, having to find ways to access and manipulate large volumes of data for multiple business functions and use cases. zettabytes of data.

Data-driven 98

Data-driven Data Lake Data Warehouse Cost-Benefit 98

AWS Big Data

JUNE 12, 2023

Organizations across the world are increasingly relying on streaming data, and there is a growing need for real-time data analytics, considering the growing velocity and volume of data being collected. The ETL job continuously consumes data from the Kafka topics, so it’s always up to date with the latest streaming data.

Management 75

Management Metadata Testing Internet of Things 75

IBM Big Data Hub

JANUARY 29, 2024

Your business needs to be prepared to handle such an event. Companies are becoming more reliant on data analytics and automation to enable profitability and customer satisfaction. In a moment’s notice, customer expectations and market conditions can change.

Digital Transformation 74

Digital Transformation Consulting Internet of Things Recreation/Entertainment 74

IBM Big Data Hub

SEPTEMBER 11, 2023

watsonx.data integration At Think, IBM announced watsonx.data as a new open, hybrid and governed data store optimized for all data, analytics, and AI workloads. It is built on open data lakehouse architecture and brings together the commodity Cloud Object Store, open data/table formats and open-source query engines.

Machine Learning 91

Machine Learning Cost-Benefit IoT Data Warehouse 91

IBM Big Data Hub

FEBRUARY 6, 2024

Cloud-based applications and services Cloud-based applications and services support myriad business use cases—from backup and disaster recovery to big data analytics to software development. Function-as-a-Service (FaaS) is a subset of SaaS in which application code runs only in response to specific events or requests.

Cost-Benefit 109

Cost-Benefit Digital Transformation Software Modeling 109

Sisense

MAY 11, 2021

You can’t talk about data analytics without talking about data modeling. These two functions are nearly inseparable as we move further into a world of analytics that blends sources of varying volume, variety, veracity, and velocity. When it comes to data modeling, function determines form.

Modeling 84

Modeling Big Data IoT Data Warehouse 84

O'Reilly on Data

SEPTEMBER 11, 2019

For nearly a decade, it’s provided a venue for developers, data and ML engineers, data architects, data scientists, and others to acquire or hone skills, explore provocative ideas, and network with peers. Terms that relate to data engineering, data management, and data analytics dominate the top tiers of proposal topics.

IoT 20

IoT Big Data Data Warehouse Uncertainty 20

Rocket-Powered Data Science

OCTOBER 6, 2023

The point is that the 100% association between the event and the preceding condition has no special predictive or prescriptive power. In statistical terms, the joint probability of event Y and condition X co-occurring, designated P(X,Y), is essentially the probability P(Y) of event Y occurring.

Business Analytics 157

Business Analytics Prescriptive Analytics Analytics Diagnostic Analytics 157

Sisense

JULY 23, 2021

Our Olympic Games Executive Director Christophe Dubi has a very strong belief in the notion that we can’t properly manage an Olympic event unless we can measure it.”. Athletes and sports are the heart of the Games, and the competition schedule drives everything around the event. Data will create a better-connected future.

Unstructured Data 105

Unstructured Data Internet of Things Data-driven Data Processing 105

IBM Big Data Hub

MARCH 20, 2024

All major public cloud providers continuously update and maintain their infrastructure and leverage the highest data protection and security requirements to prevent data breaches. artificial intelligence (AI) , edge computing, the Internet of Things (IoT) ). Innovation: Access cutting-edge technologies (e.g.,

Internet of Things 99

Internet of Things Cost-Benefit Data Processing IoT 99

datapine

NOVEMBER 27, 2019

That way, any unexpected event will be immediately registered and the system will notify the user. However, businesses today want to go further and predictive analytics is another trend to be closely monitored. It examines data or content to determine what decisions should be made and which steps taken to achieve an intended goal.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361