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Straumann Group is transforming dentistry with data, AI

CIO Business Intelligence

Selling the value of data transformation Iyengar and his team are 18 months into a three- to five-year journey that started by building out the data layer — corralling data sources such as ERP, CRM, and legacy databases into data warehouses for structured data and data lakes for unstructured data.

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Top Graph Use Cases and Enterprise Applications (with Real World Examples)

Ontotext

Gartner predicts that graph technologies will be used in 80% of data and analytics innovations by 2025, up from 10% in 2021. Solution Outcomes: Graph provides a comprehensive and organized view of data, helping improve the performance and explainability of models, and automating several tasks.

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What is a customer data platform? A unified customer database

CIO Business Intelligence

Customer data platform defined. A customer data platform (CDP) is a prepackaged, unified customer database that pulls data from multiple sources to create customer profiles of structured data available to other marketing systems. By applying machine learning to the data, you can better predict customer behavior.

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Automatically detect Personally Identifiable Information in Amazon Redshift using AWS Glue

AWS Big Data

We use the following services: Amazon Redshift is a cloud data warehousing service that uses SQL to analyze structured and semi-structured data across data warehouses, operational databases, and data lakes, using AWS-designed hardware and machine learning (ML) to deliver the best price/performance at any scale.

Data Lake 101
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The Semantic Web: 20 Years And a Handful of Enterprise Knowledge Graphs Later

Ontotext

In parallel, we have the Linked Open Data (LOD) cloud, which currently contains 1,301 datasets with 16,283 links – datasets with mappings across them ( [link] as of May 2021). Schema.org and Linked Open Data are just two incarnations of the Semantic Web vision. Read about schema.org and LOD in our Knowledge Hub ).

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The Rising Need for Data Governance in Healthcare

Alation

Storing the same data in multiple places can lead to: Human error: mistakes when transcribing data reduce its quality and integrity. Multiple data structures: different departments use distinct technologies and data structures. Data governance is the solution to these challenges.

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How Ruparupa gained updated insights with an Amazon S3 data lake, AWS Glue, Apache Hudi, and Amazon QuickSight

AWS Big Data

Data analytic challenges As an ecommerce company, Ruparupa produces a lot of data from their ecommerce website, their inventory systems, and distribution and finance applications. The data can be structured data from existing systems, and can also be unstructured or semi-structured data from their customer interactions.