Remove Data Collection Remove Data Processing Remove Metadata Remove Visualization
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Business Intelligence for Fairs, Congresses and Exhibitions

Smart Data Collective

If you occasionally run business stands in fairs, congresses and exhibitions, business stands designers can incorporate business intelligence to aid in better business and client data collection. Business intelligence tools can include data warehousing, data visualizations, dashboards, and reporting.

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Gain insights from historical location data using Amazon Location Service and AWS analytics services

AWS Big Data

Data analytics – Business analysts gather operational insights from multiple data sources, including the location data collected from the vehicles. Athena is used to run geospatial queries on the location data stored in the S3 buckets. Choose Run. You’re now ready to query the tables using Athena.

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OpenTelemetry vs. Prometheus: You can’t fix what you can’t see

IBM Big Data Hub

Benefits of OpenTelemetry The OpenTelemetry protocol (OTLP) simplifies observability by collecting telemetry data, like metrics, logs and traces, without changing code or metadata. Time-series metrics are a collection of data that is taken at regular intervals such as monthly sales data, or daily application traffic.

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Create an end-to-end data strategy for Customer 360 on AWS

AWS Big Data

In this post, we discuss how you can use purpose-built AWS services to create an end-to-end data strategy for C360 to unify and govern customer data that address these challenges. We recommend building your data strategy around five pillars of C360, as shown in the following figure.

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On the Hunt for Patterns: from Hippocrates to Supercomputers

Ontotext

These tools will allow them to effectively and efficiently handle extremely large volumes of disparate data – digitized histopathology slides from the visual and textual content of patient’s records, medical publications, diagnoses, etc. There are four types of data sources that the team will work with. Certainly not!

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The Modern Data Stack Explained: What The Future Holds

Alation

Data would be pulled from various sources, organized into, say, a table, and loaded into a data warehouse for mass consumption. This was not only time-consuming, but the growing popularity of cloud data warehouses compelled people to rethink this process. There are two types of data warehouses: on-premises and cloud-based.

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Get Your Analytics Insights Instantly – Without Abandoning Central IT

Cloudera

With CDW, as an integrated service of CDP, your line of business gets immediate resources needed for faster application launches and expedited data access, all while protecting the company’s multi-year investment in centralized data management, security, and governance.