Smart Data Collective

AUGUST 26, 2021

Simply put, it involves a diverse array of tech innovations, from artificial intelligence and machine learning to the internet of things (IoT) and wireless communication networks. But if there’s one technology that has revolutionized weather forecasting, it has to be data analytics. It’s faster and more accurate.

Forecasting 133

Forecasting Data Analytics Analytics Internet of Things 133

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

Smart Data Collective

FEBRUARY 1, 2023

Big data technology is driving major changes in the healthcare profession. In particular, big data is changing the state of nursing. Nursing professionals will need to appreciate the importance of big data and know how to use it effectively. Big data is especially important for the nursing sector.

Data Analytics 143

Data Analytics Analytics Big Data Internet of Things 143

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 100

Big Data Internet of Things IoT B2B 100

Smart Data Collective

JULY 2, 2019

Big data is playing a surprisingly important role in the evolution of renewable energy. IBM recently published a fascinating paper on the applications of big data for solar and other green energy sources. Other researchers around the world are also talking about the role of data analytics in this dynamic, growing field.

Data Analytics 96

Data Analytics Internet of Things Analytics Big Data 96

CIO Business Intelligence

DECEMBER 30, 2024

Lalchandani notes that organizations will focus on utilizing cloud services for AI, big data analytics, and business continuity, as well as disaster recovery solutions to safeguard against potential disruptions.

IoT 105

IoT Digital Transformation Internet of Things Data-driven 105

AWS Big Data

NOVEMBER 22, 2024

At AWS, we are committed to empowering organizations with tools that streamline data analytics and transformation processes. This integration enables data teams to efficiently transform and manage data using Athena with dbt Cloud’s robust features, enhancing the overall data workflow experience.

Data Lake 103

Data Lake Data Warehouse Cost-Benefit Data Transformation 103

Smart Data Collective

DECEMBER 3, 2021

Are you looking to get a job in big data? However, it is not easy to get a career in big data. There are a number of industries that have been heavily influenced by big data, but the gaming sector is probably at the top of the list. More gaming companies are turning to big data experts than ever.

Machine Learning 132

Machine Learning Data Science Internet of Things Big Data 132

AWS Big Data

JANUARY 15, 2025

Their terminal operations rely heavily on seamless data flows and the management of vast volumes of data. Recently, EUROGATE has developed a digital twin for its container terminal Hamburg (CTH), generating millions of data points every second from Internet of Things (IoT)devices attached to its container handling equipment (CHE).

IoT 111

IoT Machine Learning Metadata Data-driven 111

Smart Data Collective

SEPTEMBER 23, 2020

While there is a lot of discussion about the merits of data warehouses, not enough discussion centers around data lakes. We talked about enterprise data warehouses in the past, so let’s contrast them with data lakes. Both data warehouses and data lakes are used when storing big data.

Data Lake 135

Data Lake Data Warehouse Unstructured Data Big Data 135

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

Rocket-Powered Data Science

JUNE 17, 2022

Here is a list of my top moments, learnings, and musings from this year’s Splunk.conf : Observability for Unified Security with AI (Artificial Intelligence) and Machine Learning on the Splunk platform empowers enterprises to operationalize data for use-case-specific functionality across shared datasets. is here, now! .”)

Machine Learning 238

Machine Learning Recreation/Entertainment Risk Business Objectives 238

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 122

Data-driven IoT Big Data Internet of Things 122

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 103

Data Analytics Analytics IoT Data Lake 103

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

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 105

Data Analytics Analytics Visualization Key Performance Indicator 105

Smart Data Collective

APRIL 7, 2022

Few people anticipated that big data would have such a profound impact on the e-commerce sector. Companies in the distribution industry are particularly dependent on data, due to the complicated logistics issues they encounter. ERP Integration is the Newest Trend in E-Commerce for Data-Driven Distribution Businesses.

B2B 128

B2B Big Data Sales Cost-Benefit 128

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. General-Audience AI Tools.

Business Intelligence 132

Business Intelligence Predictive Analytics Data Collection Internet of Things 132

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

Smart Data Collective

JUNE 19, 2019

Are you frustrated by an increase in the quantity of the data that your organization handles? Many businesses globally are dealing with big data which brings along a mix of benefits and challenges. A report by China’s International Data Corporation showed that global data would rise to 175 Zettabyte by 2025.

Risk Management 91

Risk Management Risk Management Big Data 91

Smart Data Collective

APRIL 24, 2019

Investing in analytics isn’t something to take lightly, but companies that do it well can set themselves up for success they didn’t even know was attainable. Who’s Using Analytics in Manufacturing? Broadly speaking, big data analytics is your company’s ticket to efficiency and productivity improvements.

Analytics 104

Analytics Manufacturing Cost-Benefit Internet of Things 104

AWS Big Data

SEPTEMBER 11, 2024

Aruba offers networking hardware like access points, switches, routers, software, security devices, and Internet of Things (IoT) products. To learn more about the AWS services used to build modern data solutions on AWS, refer to the AWS public documentation and stay up to date through the AWS Big Data Blog.

Data Architecture 111

Data Architecture Optimization Data Warehouse Metadata 111

CIO Business Intelligence

OCTOBER 18, 2023

The solution uses CloudWatch alerts to send notifications to the DataOps team when there are failures or errors, while Kinesis Data Analytics and Kinesis Data Streams are used to generate data quality alerts. Waguespack adds that the project has been another step in Fresenius Medical Care’s ongoing digital transformation.

Predictive Analytics 133

Predictive Analytics Analytics Machine Learning Internet of Things 133

Cloudera

AUGUST 17, 2020

Communication Service Providers (CSPs) are in the middle of a data-driven transformation. The current scale and pace of change in the Telecommunications sector is being driven by the rapid evolution of new technologies like the Internet of Things (IoT), 5G, advanced data analytics and edge computing.

IoT 96

IoT Internet of Things B2B Data-driven 96

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 71

Manufacturing Technology Internet of Things Cost-Benefit 71

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 98

Data Lake Data Analytics Analytics Data Processing 98

CIO Business Intelligence

AUGUST 29, 2022

As a first step, companies can adopt data analytics to help reduce food or product waste. Circular economy: Re-use infrastructure for new technology initiatives instead of retiring equipment.

Enterprise 97

Enterprise Internet of Things Measurement Finance 97

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

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

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

IBM Big Data Hub

MARCH 20, 2024

artificial intelligence (AI) , edge computing, the Internet of Things (IoT) ). Analytics With the rise of data collected from mobile phones, the Internet of Things (IoT), and other smart devices, companies need to analyze data more quickly than ever before.

Internet of Things 88

Internet of Things Cost-Benefit Data Processing IoT 88

Sisense

FEBRUARY 6, 2020

It won’t come as a shock that working in a data analytics company means data is one of our principal obsessions. We’re more than just believers in the power of data. The problem is, there’s just a frankly humongous volume of data out there. Data’s great, but how do you deal with so much of it?

Visualization 97

Visualization Internet of Things Data Analytics Analytics 97

AWS Big Data

MAY 3, 2023

This system involves the collection, processing, storage, and analysis of Internet of Things (IoT) streaming data from various vehicle devices, as well as historical operational data such as location, speed, fuel level, and component status.

IoT 111

IoT Internet of Things Data Transformation Management 111

CIO Business Intelligence

JUNE 22, 2022

Digital infrastructure, of course, includes communications network infrastructure — including 5G, Fifth-Generation Fixed Network (F5G), Internet Protocol version 6+ (IPv6+), the Internet of Things (IoT), and the Industrial Internet — alongside computing infrastructure, such as Artificial Intelligence (AI), storage, computing, and data centers.

Digital Transformation 105

Digital Transformation Internet of Things Manufacturing Unstructured Data 105

Cloudera

SEPTEMBER 8, 2020

Communication Service Providers (CSPs) are in the middle of a data-driven transformation. The current scale and pace of change in the Telecommunications sector is being driven by the rapid evolution of new technologies like the Internet of Things (IoT), 5G, advanced data analytics, and edge computing.

IoT 70

IoT Internet of Things B2B Data-driven 70

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 134

Analytics IoT Data-driven Snapshot 134

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 Statistics 157