Smart Data Collective

SEPTEMBER 19, 2021

Big data has become more important than ever in the realm of cybersecurity. You are going to have to know more about AI, data analytics and other big data tools if you want to be a cybersecurity professional. Big Data Skills Must Be Utilized in a Cybersecurity Role.

Data-driven 140

Data-driven Big Data Marketing IoT 140

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. How can we make it happen?

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

Sisense

MARCH 4, 2019

The world of data is now the world of Big Data. We produce more and more data every day and the datasets being generated are getting more and more complex. Approximate Query Processing (AQP) removes the need to query the entire Big Data set and serves up usable results rapidly. Conclusion.

Big Data 68

Big Data Data Analytics Analytics IoT 68

TDAN

OCTOBER 5, 2022

One of the technologies that is expected to grow is the Internet of Things (IoT). Here are a few statistics that support this belief: — IoT already has generated more than $123 billion […].

IoT 52

IoT Internet of Things Statistics Technology 52

Smart Data Collective

OCTOBER 17, 2022

Big data is shaping our world in countless ways. Data powers everything we do. Exactly why, the systems have to ensure adequate, accurate and most importantly, consistent data flow between different systems. A point of data entry in a given pipeline. Data Pipeline: Use Cases. Destination.

Data Warehouse 145

Data Warehouse Data Lake Visualization Big Data 145

Rocket-Powered Data Science

OCTOBER 6, 2023

What is the point of those obvious statistical inferences? 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. How do predictive and prescriptive analytics fit into this statistical framework?

Business Analytics 157

Business Analytics Prescriptive Analytics Analytics Statistics 157

CIO Business Intelligence

APRIL 25, 2022

An education in data science can help you land a job as a data analyst , data engineer , data architect , or data scientist. The course includes instruction in statistics, machine learning, natural language processing, deep learning, Python, and R. On-site courses are available in Munich.

Data Science 145

Data Science Machine Learning Deep Learning Statistics 145

Smart Data Collective

SEPTEMBER 30, 2021

As the consequences of a global pandemic, cybersecurity statistics show a significant increase in data breaching and hacking incidents from sources that employees increasingly use to complete their tasks, such as mobile and IoT devices. Cybercrime and IoT devices.

Optimization 135

Optimization IoT Data-driven Cost-Benefit 135

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 Internet of Things 133

Rocket-Powered Data Science

JULY 19, 2023

I recently saw an informal online survey that asked users which types of data (tabular, text, images, or “other”) are being used in their organization’s analytics applications. This was not a scientific or statistically robust survey, so the results are not necessarily reliable, but they are interesting and provocative.

Data-driven 188

Data-driven Enterprise Analytics Machine Learning 188

Rocket-Powered Data Science

JULY 14, 2023

I recently saw an informal online survey that asked users what types of data (tabular; text; images; or “other”) are being used in their organization’s analytics applications. This was not a scientific or statistically robust survey, so the results are not necessarily reliable, but they are interesting and provocative.

Analytics 166

Analytics Internet of Things Data Science Prescriptive Analytics 166

IBM Big Data Hub

DECEMBER 18, 2023

GIS perform spatial analysis of geospatial datasets—consisting of vector data (points, lines and polygons) and raster data (cells with spatial information)—to produce connected visualizations. ” can be answered by geospatial data and GIS.

Internet of Things 96

Internet of Things IoT Forecasting Visualization 96

Sisense

JUNE 12, 2019

our annual client conference, I gave a presentation that took a deep dive into artificial intelligence and subgroups including AI, ML, and statistics. Living in a World of Big Data. It all starts with the data. Yesterday, during Eureka! , If you were not in attendance at Eureka!

Analytics 75

Analytics Data-driven Dashboards IoT 75

Octopai

JANUARY 31, 2022

But it is eminently possible that you were exposed to inaccurate data through no human fault.”. He goes on to explain: Reasons for inaccurate data. Integration of external data with complex structures. Big data is BIG. Some of these data assets are structured and easy to figure out how to integrate.

Metadata 97

Metadata IT Unstructured Data IoT 97

AWS Big Data

FEBRUARY 6, 2023

Based on the statistics of individual and aggregated application runs per queue and per user, you can determine the existing workload distribution by user. He helps customers innovate their business with AWS Analytics, IoT, and AI/ML services. Jiseong Kim is a Senior Data Architect at AWS ProServe.

Dashboards 98

Dashboards Optimization Data Lake Cost-Benefit 98

Sisense

APRIL 9, 2019

Between the language undergirding it and the power of its architecture, Hadoop has found a sizable following, tackling core BI tasks like statistical analytics and Big Data processing, including handling huge volumes of data from fleets of IoT sensors and more! PostgreSQL. Apache Cassandra.

Analytics 75

Analytics Big Data Software IoT 75

IBM Big Data Hub

APRIL 22, 2024

Energy transition and climate resilience Applying AI and IoT to accelerate the transition to sustainable energy sources There is a clear need (link resides ibm.com) to accelerate the transition to low-carbon energy sources and transform infrastructures to build more climate-resilient organizations.

IoT 77

IoT Internet of Things Cost-Benefit Reporting 77

AWS Big Data

MAY 2, 2023

Select Statistics update and ON , then choose Next. Refer to Data load operations for more details. He helps customers architect data analytics solutions at scale on the AWS platform. He has worked with building data warehouses and big data solutions for over 13 years. Choose Load operations.

Data Warehouse 91

Data Warehouse Software Visualization IoT 91

AWS Big Data

MAY 16, 2023

Rather than checking smart sensor information from different applications or systems to find answers, a sensor status dashboard solves this problem by aggregating status statistics across all sensors by different attributes, including sensor location, communication status, and distributions in different regions, substations, and circuits.

Dashboards 98

Dashboards Statistics Data Collection Business Intelligence 98

Cloudera

MAY 18, 2021

The intent of this article is to articulate and quantify the value proposition of CDP Public Cloud versus legacy IaaS deployments and illustrate why Cloudera technology is the ideal cloud platform to migrate big data workloads off of IaaS deployments. Conclusion.

Cost-Benefit 86

Cost-Benefit Data-driven Machine Learning Data Warehouse 86

AWS Big Data

AUGUST 1, 2024

Ingestion migration implementation is segmented by tenants and type of ingestion patterns, such as internal database change data capture (CDC); data streaming, clickstream, and Internet of Things (IoT); public dataset capture; partner data transfer; and file ingestion patterns.

Data Warehouse 115

Data Warehouse KPI Optimization Cost-Benefit 115

AWS Big Data

FEBRUARY 6, 2023

Use case overview Migrating Hadoop workloads to Amazon EMR accelerates big data analytics modernization, increases productivity, and reduces operational cost. Refactoring coupled compute and storage to a decoupling architecture is a modern data solution. Jiseong Kim is a Senior Data Architect at AWS ProServe.

Cost-Benefit 52

Cost-Benefit Data Lake Dashboards Big Data 52

Domino Data Lab

MARCH 3, 2019

Over the past six months, Ben Lorica and I have conducted three surveys about “ABC” (AI, Big Data, Cloud) adoption in enterprise. That’s most likely a mix of devops, telematics, IoT, process control, and so on, although it has positive connotations for the adoption of reinforcement learning as well. will not save you there.

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49

Jet Global

MAY 9, 2024

Real-Time Analytics Pipelines : These pipelines process and analyze data in real-time or near-real-time to support decision-making in applications such as fraud detection, monitoring IoT devices, and providing personalized recommendations. As data flows into the pipeline, it is processed in real-time or near-real-time.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

AWS Big Data

OCTOBER 25, 2024

It does this by using statistics about the data together with the query to calculate a cost of executing the query for many different plans. Amazon Redshift has built-in autonomics to collect statistics called automatic analyze (or auto analyze).

Statistics 109

Statistics Data Warehouse Metadata Data Lake 109