Remove 2021 Remove Dashboards Remove Data Warehouse Remove Unstructured Data
article thumbnail

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.

article thumbnail

Edmunds sets stage for AI with data infrastructure consolidation

CIO Business Intelligence

Today, Edmunds’ website offers data on new and used vehicle prices, dealer and inventory listings, a database of national and regional incentives and rebates, as well as vehicle reviews and advice on buying and owning cars. The company was purchased by Carmax in 2021 for $404 million.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

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. Production Monitoring Only.

Testing 307
article thumbnail

It’s not your data. It’s how you use it. Unlock the power of data & build foundations of a data driven organisation

CIO Business Intelligence

Providing a platform for fact-based and actionable management reporting, algorithmic forecasting and digital dashboarding. IBM’s Global C-suite Study, 2021 agrees, saying there is strong evidence that data-driven organisations outperform their peers financially, on innovation and in driving cultural change. zettabytes of data.

article thumbnail

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

AWS Big Data

The data lake implemented by Ruparupa uses Amazon S3 as the storage platform, AWS Database Migration Service (AWS DMS) as the ingestion tool, AWS Glue as the ETL (extract, transform, and load) tool, and QuickSight for analytic dashboards. The audience of these few reports was limited—a maximum of 20 people from management.

article thumbnail

Building Better Data Models to Unlock Next-Level Intelligence

Sisense

The reasons for this are simple: Before you can start analyzing data, huge datasets like data lakes must be modeled or transformed to be usable. According to a recent survey conducted by IDC , 43% of respondents were drawing intelligence from 10 to 30 data sources in 2020, with a jump to 64% in 2021!