Remove Dashboards Remove Data Processing Remove Optimization Remove Unstructured Data
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An Introduction To Data Dashboards: Meaning, Definition & Industry Examples

datapine

Enter data dashboards – one of history’s best innovations in business intelligence. To help you understand this notion in full, we’re going to explore a data dashboard definition, explain the power of dashboard data, and explore a selection of data dashboard examples. What Is A Data Dashboard?

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Petabyte-scale log analytics with Amazon S3, Amazon OpenSearch Service, and Amazon OpenSearch Ingestion

AWS Big Data

Organizations often need to manage a high volume of data that is growing at an extraordinary rate. At the same time, they need to optimize operational costs to unlock the value of this data for timely insights and do so with a consistent performance. Cold storage is optimized to store infrequently accessed or historical data.

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5 misconceptions about cloud data warehouses

IBM Big Data Hub

In today’s world, data warehouses are a critical component of any organization’s technology ecosystem. They provide the backbone for a range of use cases such as business intelligence (BI) reporting, dashboarding, and machine-learning (ML)-based predictive analytics, that enable faster decision making and insights.

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How-to: Index Data from S3 Using CDP Data Hub

Cloudera

This blog post will present a simple “hello world” kind of example on how to get data that is stored in S3 indexed and served by an Apache Solr service hosted in a Data Discovery and Exploration cluster in CDP. This is automatically set on hosts with a Solr Server or Gateway role in Cloudera Manager. To do the latter: 1.

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Discover and Explore Data Faster with the CDP DDE Template

Cloudera

DDE also makes it much easier for application developers or data workers to self-service and get started with building insight applications or exploration services based on text or other unstructured data (i.e. data best served through Apache Solr). Includes a drag-n-drop style, GUI-based Search Dashboard Designer.

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Ontotext Invents the Universe So You Don’t Need To

Ontotext

Businesses wanted a way to make pie and not an in-depth understanding of forward-chaining, inferential explosion or SPARQL optimizations. Machine learning coupled with knowledge graphs is already collecting, categorizing, tagging and adding the needed structure to the endless (and useless) swathes of unstructured data.

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The DataOps Vendor Landscape, 2021

DataKitchen

ICEDQ — Software used to automate the testing of ETL/Data Warehouse and Data Migration. Naveego — A simple, cloud-based platform that allows you to deliver accurate dashboards by taking a bottom-up approach to data quality and exception management. Monte Carlo DataData reliability delivered. Data breaks.

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