Rocket-Powered Data Science

MARCH 19, 2021

How to make smarter data-driven decisions at scale : [link]. The determination of winners and losers in the data analytics space is a much more dynamic proposition than it ever has been. A lot has changed in those five years, and so has the data landscape. But if they wait another three years, they will never catch up.”

Internet of Things 259

Internet of Things Analytics IoT Prescriptive Analytics 259

AWS Big Data

MAY 3, 2023

This post is a continuation of How SOCAR built a streaming data pipeline to process IoT data for real-time analytics and control. SOCAR has deployed in-car devices that capture data using AWS IoT Core. This data was then stored in Amazon Relational Database Service (Amazon RDS).

IoT 102

IoT Internet of Things Data Transformation Management 102

Cloudera

AUGUST 17, 2020

Technology like IoT, edge computing and 5G are changing the face of CSPs. Communication Service Providers (CSPs) are in the middle of a data-driven transformation. The post The Future Of The Telco Industry And Impact Of 5G & IoT – Part 1 appeared first on Cloudera Blog. Source: IDTechEx.

IoT 94

IoT Internet of Things B2B Data-driven 94

Smart Data Collective

JULY 19, 2019

The telecommunications industry could benefit from big data more than almost any other business. However, it has been slow to invest in machine learning and other big data tools, until recently. A 2017 analysis by MapR showed that telecommunications industries can benefit from big data more than almost any other company.

Big Data 79

Big Data Internet of Things IoT B2B 79

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

Sisense

MARCH 14, 2021

Attempting to learn more about the role of big data (here taken to datasets of high volume, velocity, and variety) within business intelligence today, can sometimes create more confusion than it alleviates, as vital terms are used interchangeably instead of distinctly. Big data challenges and solutions.

Big Data 52

Big Data IoT Data Warehouse Data-driven 52

Cloudera

SEPTEMBER 8, 2020

Technology like IoT, edge computing and 5G are changing the face of CSPs. Communication Service Providers (CSPs) are in the middle of a data-driven transformation. The post The Future Of The Telco Industry And Impact Of 5G & IoT – Part 1 appeared first on Cloudera Blog. Telcos have been pumping in over 1.5

IoT 67

IoT Internet of Things B2B Data-driven 67

Smart Data Collective

NOVEMBER 12, 2021

Big data technology has been one of the biggest forces driving change in the financial sector over the past few years. Financial institutions servicing small businesses have been among those most affected by developments in big data. Big Data is the Future of Small Business Lending.

Data-driven 94

Data-driven IoT Big Data Internet of Things 94

Sisense

JUNE 25, 2020

Invest in data, invest in your company. It’s no coincidence that this recent growth has come alongside a huge investment in data analytics. Becoming data-driven has always been about more than just convenience, and ‘how do we sell more product?’ Jon Francis, SVP Data Analytics, Starbucks.

Big Data 98

Big Data Data-driven IoT Marketing 98

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

IBM Big Data Hub

JANUARY 15, 2024

Also, machine learning will be an incredibly powerful tool for data-driven organizations looking to take better advantage of their data analytics practices. Another way organizations are experimenting with advanced security measures is through the blockchain, which can enhance data integrity and secure transactions.

Digital Transformation 76

Digital Transformation Internet of Things IoT Consulting 76

AWS Big Data

JANUARY 8, 2024

This is the first post to a blog series that offers common architectural patterns in building real-time data streaming infrastructures using Kinesis Data Streams for a wide range of use cases. In this post, we will review the common architectural patterns of two use cases: Time Series Data Analysis and Event Driven Microservices.

Analytics 109

Analytics IoT Data-driven Snapshot 109

Cloudera

SEPTEMBER 11, 2018

Authors: David Bericat, Global Technical Lead, Internet of Things, Red Hat and Jonathan Cooper-Ellis, Solutions Architect, Cloudera. A big part of that architecture deals with the flow and management of data, as well as the insights, actions, and decisions that can be created from data to produce better business outcomes.

IoT 40

IoT Data Processing Machine Learning Internet of Things 40

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

IBM Big Data Hub

JUNE 20, 2023

Early data-driven warranty re-invention The global automotive OEMs have always faced warranty issues and therefore their warranty management capabilities are quite mature. Opportunities with data-driven digital twins Much has happened in engineering (e.g., and Canada. avoiding warranty issues through simulation), manufacturing (e.g.,

Manufacturing 90

Manufacturing Data-driven Internet of Things Sales 90

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. Dig into AI.

Modeling 84

Modeling Big Data IoT Data Warehouse 84

AWS Big Data

MAY 30, 2023

Traditional batch ingestion and processing pipelines that involve operations such as data cleaning and joining with reference data are straightforward to create and cost-efficient to maintain. 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

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. AI-Powered Big Data Technology. Predictive Business Analytics.

Business Intelligence 102

Business Intelligence Predictive Analytics Data Collection Internet of Things 102

AWS Big Data

MARCH 20, 2024

When integrated with Lambda, it allows for serverless data processing, enabling you to analyze and react to data streams in real time without managing infrastructure. In this post, we demonstrate how you can process data ingested into a stream in one account with a Lambda function in another account.

Internet of Things 105

Internet of Things IoT Manufacturing Data Processing 105

IBM Big Data Hub

JUNE 20, 2023

By coupling asset information (thanks to the Internet of Things (IoT)) with powerful analytics capabilities, businesses can now perform cost-effective preventive maintenance, intervening before a critical asset fails and preventing costly downtime. Put simply, it’s about fixing things before they break.

Strategy 76

Strategy Management Cost-Benefit IoT 76

Rocket-Powered Data Science

OCTOBER 6, 2023

In the enterprise, sentinel analytics is most timely and beneficial when applied to real-time, dynamic data streams and time-critical decisions. This is more imperative than ever, as a global survey of analytics executives has revealed: “Companies have been working to become more data-driven for many years, with mixed results.”

Business Analytics 157

Business Analytics Prescriptive Analytics Analytics Diagnostic Analytics 157

erwin

JUNE 11, 2020

If the current investments that a business has is not as effective, then data intelligence tools can provide guidance on the best avenues to invest in. 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.

Key Performance Indicator 103

Key Performance Indicator KPI Data-driven Machine Learning 103

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. Sindhura Palakodety is a Solutions Architect at AWS.

Forecasting 72

Forecasting Management IoT Data-driven 72

Cloudera

FEBRUARY 12, 2019

Mobile data traffic is predicted to grow at a 40 to 50 percent rate annually, and Internet of Things (IoT) connections from 25 to 30 percent. As technology adoption increases, more service providers require 5G to support the surge of incoming data. Becoming the backbone of smart cities.

IoT 40

IoT Internet of Things Digital Transformation Machine Learning 40

AWS Big Data

MARCH 13, 2024

The solution consists of the following interfaces: IoT or mobile application – A mobile application or an Internet of Things (IoT) device allows the tracking of a company vehicle while it is in use and transmits its current location securely to the data ingestion layer in AWS.

Analytics 90

Analytics IoT Metadata Internet of Things 90

IBM Big Data Hub

JANUARY 8, 2024

The rise of advanced digital technologies Technological developments improving organizations include automation , quantum computing and cloud computing , artificial intelligence , machine learning and the Internet of Things (IoT). It also enables an organization to better respond in real-time to competitive challenges.

Digital Transformation 66

Digital Transformation Strategy Key Performance Indicator Cost-Benefit 66

datapine

NOVEMBER 27, 2019

The demand for real-time online data analysis tools is increasing and the arrival of the IoT (Internet of Things) is also bringing an uncountable amount of data, which will promote the statistical analysis and management at the top of the priorities list. 1 for data analytics trends in 2020.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

IBM Big Data Hub

JULY 26, 2023

Digital twin technology, an advancement stemming from the Industrial Internet of Things (IIoT), is reshaping the oil and gas landscape by helping providers streamline asset management, optimize performance and reduce operating costs and unplanned downtime.

Technology 56

Technology Cost-Benefit Optimization Internet of Things 56

Smart Data Collective

AUGUST 14, 2019

The healthcare sector is heavily dependent on advances in big data. Healthcare organizations are using predictive analytics , machine learning, and AI to improve patient outcomes, yield more accurate diagnoses and find more cost-effective operating models. Big Data is Driving Massive Changes in Healthcare.

Big Data 78

Big Data Data Analytics Analytics Internet of Things 78

IBM Big Data Hub

FEBRUARY 23, 2024

Integrating conversational AI into the Internet of Things (IoT) also offers vast possibilities, enabling more intelligent and interactive environments through seamless communication between connected devices. AI will increasingly make conversations indistinguishable from those with humans.

Enterprise 104

Enterprise Interactive Data-driven Key Performance Indicator 104

Sisense

JULY 23, 2021

At the Information, Knowledge, and Games Learning (IKL) unit, we anticipate collecting about 1TB of data from primary sources. From an operational data analytics perspective, I would describe Tokyo 2020 as a coming of age Games,” he says. Data will create a better-connected future. Chris’ passion around this is evident.

Unstructured Data 105

Unstructured Data Internet of Things Data-driven Data Processing 105

Data Virtualization

APRIL 26, 2024

The post From Ego-centric To Eco-centric: Future-Proofing Energy and Utilites Operations appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information.

Data Integration 59

Data Integration Management Internet of Things Data-driven 59

AWS Big Data

DECEMBER 13, 2023

Furthermore, we also showed how CDC data can be processed rapidly after generation, using a simple SQL interface that enables customers to perform near real-time analytics on variety of data sources (e.g., Internet-of-Things [ IoT] devices, system telemetry data, or clickstream data) from a busy website or application.

Data Warehouse 94

Data Warehouse Snapshot Data Processing Management 94

IBM Big Data Hub

JUNE 14, 2023

An innovative application of the Industrial Internet of Things (IIoT), SM systems rely on the use of high-tech sensors to collect vital performance and health data from an organization’s critical assets. Ensure that sensitive data remains within their own network, improving security and compliance.

Manufacturing 76

Manufacturing Technology Internet of Things Cost-Benefit 76

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.

Management 75

Management Metadata Testing Internet of Things 75

O'Reilly on Data

SEPTEMBER 11, 2019

Machine learning, artificial intelligence, data engineering, and architecture are driving the data space. The Strata Data Conferences helped chronicle the birth of big data, as well as the emergence of data science, streaming, and machine learning (ML) as disruptive phenomena. The term “ML” is No.

IoT 20

IoT Big Data Data Warehouse Uncertainty 20

Cloudera

JANUARY 22, 2019

In conjunction with the evolving data ecosystem are demands by business for reliable, trustworthy, up-to-date data to enable real-time actionable insights. Big Data Fabric has emerged in response to modern data ecosystem challenges facing today’s enterprises. What is Big Data Fabric? Data access.

Big Data 44

Big Data Data Lake Internet of Things Enterprise 44