Remove 2021 Remove Data Integration Remove Data Quality Remove Optimization
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The DataOps Vendor Landscape, 2021

DataKitchen

Download the 2021 DataOps Vendor Landscape here. DataOps is a hot topic in 2021. This is not surprising given that DataOps enables enterprise data teams to generate significant business value from their data. QuerySurge – Continuously detect data issues in your delivery pipelines. OwlDQ — Predictive data quality.

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4 Common Data Integrity Issues and How to Solve Them

Octopai

It’s also a critical trait for the data assets of your dreams. What is data with integrity? Data integrity is the extent to which you can rely on a given set of data for use in decision-making. Where can data integrity fall short? Too much or too little access to data systems.

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How Amazon Devices scaled and optimized real-time demand and supply forecasts using serverless analytics

AWS Big Data

This data is used in procuring devices’ inventory to meet Amazon customers’ demands. With data volumes exhibiting a double-digit percentage growth rate year on year and the COVID pandemic disrupting global logistics in 2021, it became more critical to scale and generate near-real-time data.

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Accenture’s Smart Data Transition Toolkit Now Available for Cloudera Data Platform

Cloudera

The Accenture Smart Data Transition Toolkit is also tightly integrated with Cloudera Data Platform for cloud data management and Cloudera Shared Data Experiences for secure, self-service analytics. Copyright © 2021 Accenture. Smart Data Validator helps in extensive data reconciliation and testing.

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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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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. We can’t imagine looking at the Semantic Web as an artifact.

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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. Use Case #1: Customer 360 / Enterprise 360 Customer data is typically spread across multiple applications, departments, and regions. Several factors are driving the adoption of knowledge graphs.