Remove Data Lake Remove Digital Transformation Remove Optimization Remove Structured Data
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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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Understanding Structured and Unstructured Data

Sisense

Structured vs unstructured data. Structured data is far easier for programs to understand, while unstructured data poses a greater challenge. However, both types of data play an important role in data analysis. Structured data. Structured data is organized in tabular format (ie.

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Using Artificial Intelligence to Make Sense of IoT Data

BizAcuity

Traditional methods of analyzing structured data are not designed to efficiently process these large amounts of real-time data that is collected from IoT devices. This is where AI-based analysis and response play a critical role in extracting optimal value from the data. IoT produces a treasure trove of big data.

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Why companies need to accelerate data warehousing solution modernization

IBM Big Data Hub

Unexpected situations like the COVID-19 pandemic and the ongoing macroeconomic atmosphere are wake-up calls for companies worldwide to exponentially accelerate digital transformation. Benefits of new data warehousing technology Everything is data, regardless of whether it’s structured, semi-structured, or unstructured.

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Five Strategies to Accelerate Data Product Development

Cloudera

PoS and transaction data to optimize supply chain operations). A growing desire for self-service analytics among internal data consumers and knowledge workers, external partners and clients. a technology choice such as Spark Streaming is overly focused on throughput at the expense of latency) or data formats (e.g.,

Strategy 114
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How Aura from Unity revolutionized their big data pipeline with Amazon Redshift Serverless

AWS Big Data

With a powerful set of solutions, Aura enables complete digital transformation, letting operators promote key services outside the store, directly on-device. Amazon Redshift is a recommended service for online analytical processing (OLAP) workloads such as cloud data warehouses, data marts, and other analytical data stores.

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Shutterstock capitalizes on the cloud’s cutting edge

CIO Business Intelligence

Advancements in analytics and AI as well as support for unstructured data in centralized data lakes are key benefits of doing business in the cloud, and Shutterstock is capitalizing on its cloud foundation, creating new revenue streams and business models using the cloud and data lakes as key components of its innovation platform.