Remove Dashboards Remove Data Integration Remove Structured Data Remove Visualization
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From Data Silos to Data Fabric with Knowledge Graphs

Ontotext

Added to this is the increasing demands being made on our data from event-driven and real-time requirements, the rise of business-led use and understanding of data, and the move toward automation of data integration, data and service-level management. This provides a solid foundation for efficient data integration.

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15 Best Data Analysis Tools You Can’t Miss in 2022

FineReport

The features you or your company need are core factors influencing your selection of the data analytics tool. For example, if you want the features of data visualization , such as stunning dashboards and rich charts, business intelligence tools are more suitable for you than a pure programming tool. From FineBI.

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Improve healthcare services through patient 360: A zero-ETL approach to enable near real-time data analytics

AWS Big Data

AWS has invested in a zero-ETL (extract, transform, and load) future so that builders can focus more on creating value from data, instead of having to spend time preparing data for analysis. The Data Catalog objects are listed under the awsdatacatalog database. FHIR data stored in AWS HealthLake is highly nested.

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Logi Symphony: Essential Customer Information

Jet Global

Hidden patterns in your data are illuminated in real-time, fostering intuitive, interactive exploration that unlocks the true narrative within your numbers. No longer passive consumers of information, you become master storytellers, captivating audiences with visual masterpieces crafted from data.

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

AWS Big Data

Data ingestion You have to build ingestion pipelines based on factors like types of data sources (on-premises data stores, files, SaaS applications, third-party data), and flow of data (unbounded streams or batch data). Data exploration Data exploration helps unearth inconsistencies, outliers, or errors.

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The Superpowers of Ontotext’s Relation and Event Detector

Ontotext

From a technological perspective, RED combines a sophisticated knowledge graph with large language models (LLM) for improved natural language processing (NLP), data integration, search and information discovery, built on top of the metaphactory platform. It compares actual price changes to expected changes based on historical data.

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The Data Journey: From Raw Data to Insights

Sisense

In all cases the data will eventually be loaded into a different place, so it can be managed, and organized, using a package such as Sisense for Cloud Data Teams. Using data pipelines and data integration between data storage tools, engineers perform ETL (Extract, transform and load).