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.
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Spotlight

The Quantified Self movement highlights how digital technology and data allow us to track our very selves – our activity, sleep, fitness, and fertility – offering the promise of “self knowledge through self-tracking”.1 Numerous markets have arisen to harness the power and promise of the Quantified Self, from wearable devices to applications, integration platforms, and middleware. But what happens with all this data? What do users need to know when it comes to their privacy and their digital rights? The 2018 Quantified Self Report Card is meant to inform the everyday user about common industry practices around the collection and storage of their physiological data, including bio-markers for emotion and brain wave data.


OTHER ON-DEMAND WEBINARS

How Atrium Health Augments Utilization Review with Artificial Intelligence

XSOLIS

Tonya Harrison, Director of Clinical Care Management at Atrium Health (formerly Carolinas HealthCare System), discusses how Atrium Health is using artificial intelligence technology and predictive analytics to help review cases, resulting in significant time savings and increased compliance.

Smart Data, Smart Cities – Petabyte Scale Big Data Storage

Paul Turner

Our world is getting smarter with everything from responsive advertising, smart meters to genomic analysis and intelligent media streaming. This requires a new type of storage platform – one which can combine petabyte scale with indexing and analytics. Cloudian Hyper Store software, running on Intel-based servers from Lenovo.

Faster Self-Service Analytics with Salesforce Data & Visualizations

Data Science Central LLC

The de facto CRM for most organizations today is Salesforce. The sales, marketing, and service data found in Salesforce often needs to be combined with other data sources for impactful business insights. Blending, enriching, and analyzing Salesforce data with other sources takes time and slows time to critical insights. Ryder Systems - a leading provider of global commercial transportation, logistics, and supply chain management solutions – has overcome such analytic obstacles firsthand.

Using Big Data to Drive a True Customer 360

Organizations across diverse industries are in pursuit of Customer 360, by integrating customer information across multiple channels, systems, devices and products. Having a 360-degree view of the customer enables enterprises to improve the interaction experience, drive customer loyalty and improve retention. However delivering a true Customer 360 can be very challenging. Gain perspectives from industry experts at Cloudera about how organizations can utilize an Enterprise Data Hub, powered by Apache Hadoop, to effectively stitch together a true 360-degree view of their customers in order to deliver personalized offerings, improve marketing effectiveness and drive down churn.

Spotlight

The Quantified Self movement highlights how digital technology and data allow us to track our very selves – our activity, sleep, fitness, and fertility – offering the promise of “self knowledge through self-tracking”.1 Numerous markets have arisen to harness the power and promise of the Quantified Self, from wearable devices to applications, integration platforms, and middleware. But what happens with all this data? What do users need to know when it comes to their privacy and their digital rights? The 2018 Quantified Self Report Card is meant to inform the everyday user about common industry practices around the collection and storage of their physiological data, including bio-markers for emotion and brain wave data.

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