article thumbnail

Visualize Amazon DynamoDB insights in Amazon QuickSight using the Amazon Athena DynamoDB connector and AWS Glue

AWS Big Data

These include internet-scale web and mobile applications, low-latency metadata stores, high-traffic retail websites, Internet of Things (IoT) and time series data, online gaming, and more. Data stored in DynamoDB is the basis for valuable business intelligence (BI) insights. You don’t need to write any code. Choose Next.

article thumbnail

What is a business intelligence analyst? A key role for data-driven decisions

CIO Business Intelligence

Some of the top BI certifications include: Certified Business Intelligence Professional (CBIP) IBM Data Analyst Professional Certificate Microsoft Certified: Power BI Data Analyst Associate QlikView Business Analyst SAP Certified Application Associate: SAP BusinessObjects Business Intelligence Platform 4.3

Insiders

Sign Up for our Newsletter

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

Trending Sources

article thumbnail

The Need for Speed: Faster Data Access as Competitive Edge

Sisense

Chandana Gopal, Business Analytics Research Director, IDC. Product teams are already having to manage the growing complexities that come with modern data environments,” said Chandana Gopal, research director for business analytics at IDC. Chandana Gopal, Business Analytics Research Director, IDC.

article thumbnail

Predictive Analytics Helps New Dropshipping Businesses Thrive

Smart Data Collective

Paul Glen of IBM’s Business Analytics wrote an article titled “ The Role of Predictive Analytics in the Dropshipping Industry.” ” Glen shares some very important insights on the benefits of utilizing predictive analytics to optimize a dropshipping commpany. The dropshipping industry is among them.

article thumbnail

How Can Small Businesses Benefit from an AI Data Company?

bridgei2i

Recognizing the “right” data that can be optimized by AI-powered business analytics tools. Small businesses need to build low-scale versions of these systems. It’ll become easier to store metadata (data lakes, warehouses, data quality systems, etc.) Identify data errors and eliminate them from the system. in the system.

article thumbnail

Announcing the 2021 Data Impact Awards

Cloudera

We will be looking out for entries from organizations that have centralized management, security, and governance of their data and metadata policies, ensuring consistent data lineage, and control without impacting the ability of the business to drive value and insight from the data. SECURITY AND GOVERNANCE LEADERSHIP.

article thumbnail

Modernize Using The BI & Analytics Magic Quadrant

Rita Sallam

By contrast, traditional BI platforms are designed to support modular development of IT-produced analytic content, specialized tools and skills, and significant upfront data modeling, coupled with a predefined metadata layer, is required to access their analytic capabilities. Research VP, Business Analytics and Data Science.