Home > Event > On-Demand Webinars > Improving Transactional Applications with Analytics

Improving Transactional Applications with Analytics

MariaDB

Today, most web and mobile applications are limited to “lightweight” analytics because general-purpose databases can be optimized for transactional or analytical workloads, but not both – and since transactional processing is critical, applications have to compromise on analytics. However, what if an e-commerce application could let customers know which products are soon to be sold out based on clickstream data, shopping carts, current inventory and recent purchases as well as historical buying patterns and emerging shopping trends? In this webinar, attendees will learn how to leverage MariaDB ColumnStore to provide transactional applications with real-time analytics on historical data.
Watch Now

Spotlight

How to Use Analytics in UX

Integrating analytics into UX work helps to make data-based decisions and focus efforts on projects with the most significant impact.

OTHER ON-DEMAND WEBINARS

Gain Context, Insight and Value from Big Content

OpenText

The Internet of Things, social media and enterprise content all have one thing in common: they generate vast quantities of data — ever-faster. So much so that picking out relevant information and assembling it into meaningful patterns is a tall order. These new data sources also present another challenge. They generate unstructured data - such as text and emojis - that don’t fit neatly into traditional database structures. This data can however hold valuable insights on important and hard-to-quantify concepts such as social sentiment.
Watch Now

Modernize your Data Warehouse with Amazon Redshift

Learn how a modern data warehouse increases data accessibility and provides seamless data analytics for Petabyte scale data.
Watch Now

Automated Data and Analytics Workload Modernization

Moving on-premises legacy data and analytics workloads to the cloud is unavoidable if you want to overcome infrastructural constraints, facilitate proactive analytics, and lower costs. You need a service that enables seamless scalability for petabyte-scale data processing, interactive analytics, and machine learning. However, end-to-end, automated workload transformation and optimization on serverless services is not straightforward.
Watch Now

Oracle Autonomous Database - Keep Data More Secured, Eliminate Costly Data Breaches

Oracle

Data, the life blood of today's economy, is an attractive target for cyber attackers. Learn how a self-securing database provides security and peace of mind without relying on manual, error-prone processes allowing you to focus on innovation and not damage control.
Watch Now

Gain Context, Insight and Value from Big Content

OpenText

The Internet of Things, social media and enterprise content all have one thing in common: they generate vast quantities of data — ever-faster. So much so that picking out relevant information and assembling it into meaningful patterns is a tall order. These new data sources also present another challenge. They generate unstructured data - such as text and emojis - that don’t fit neatly into traditional database structures. This data can however hold valuable insights on important and hard-to-quantify concepts such as social sentiment.
Watch Now

Modernize your Data Warehouse with Amazon Redshift

Learn how a modern data warehouse increases data accessibility and provides seamless data analytics for Petabyte scale data.
Watch Now

Automated Data and Analytics Workload Modernization

Moving on-premises legacy data and analytics workloads to the cloud is unavoidable if you want to overcome infrastructural constraints, facilitate proactive analytics, and lower costs. You need a service that enables seamless scalability for petabyte-scale data processing, interactive analytics, and machine learning. However, end-to-end, automated workload transformation and optimization on serverless services is not straightforward.
Watch Now

Oracle Autonomous Database - Keep Data More Secured, Eliminate Costly Data Breaches

Oracle

Data, the life blood of today's economy, is an attractive target for cyber attackers. Learn how a self-securing database provides security and peace of mind without relying on manual, error-prone processes allowing you to focus on innovation and not damage control.
Watch Now
More On-Demand Webinars

Spotlight

How to Use Analytics in UX

Integrating analytics into UX work helps to make data-based decisions and focus efforts on projects with the most significant impact.

resources

resource image

Leveraging Big Data for Competitive Advantage: Benefits

Article

resource image

Mastering BI: Key Business Intelligence Events to Attend in 2023

Article

resource image

Implementing Data Analytics: Emerging Big Data Tools in 2023

Article