Discover the Spin-Merge Benefits to our Big Data Software Portfolio

Vertica Eon Mode Beta, a separation of compute and storage architecture option, addresses the common need to rapidly scale your cluster to variable workloads. It also accommodates an almost endless data warehousing capability. Join us as we preview the benefits of this new architecture and walk through a step-by-step demonstration of its capabilities.

TravelBird, a Dutch based online travel platform that offers daily holiday deals over Europe, will share their best practices to leverage real-time analytics and automation to deliver 100% personalized deals for customers, increase deal conversion and optimize offer content and pricing.

TravelBird runs an integrated business intelligence and advanced predictive analytics architecture by leveraging Vertica along with tools such as Tableau, Spark and Python over a full cloud infrastructure.

Join this session where Rob Winters will discuss:
• How to leverage real-to opportunities for predictive analytics to improve online customer experience
• The architecture principles to deliver “real-time” for advanced big data
• TravelBird technology stack and the integration of Vertica, Spark, Tableau and Python
• The deployment Vertica over Amazon AWS cloud infrastructure
• Lesson learned and benefits of Vertica

Rob has a unique record of accomplishment in BI, Analytics and Data Science for industries like travel, gaming and retail commerce with roles in major online companies such as Spil Games and De Bijenkorf.

Vertica’s in-database machine learning supports the entire predictive analytics process with massively parallel processing and a familiar SQL interface. Vertica has the only native, in-database, distributed machine learning library on the market today; complete with easy-to-use features for blazing fast ingestion, complex data preparation, the fastest distributed model building available, thorough model evaluation, detailed model management, simple model deployment, and advanced integration with popular machine learning and visualization tools.

During this demo you’ll get a firsthand look at Vertica machine learning using a public IoT dataset from the Irish Smart Meter project. The demonstration will cover data exploration and visualization, data preparation, model building, model scoring, model evaluation, and model management. Learn how data scientists and analysts can leverage Vertica to embrace the power of Big Data and accelerate business outcomes with no limits and no compromises.

In a modern enterprise architecture, gaining access to data that’s stored in multiple locations is crucial to delivering analytics. It shouldn’t really matter if the data is stored in your database or some other location in ORC or Parquet formats. Performing analysis on it without having to first copy it can be a very powerful capability.

Join Vertica experts Mark Lyons and Steve Sarsfield as they talk about how the external tables feature of Vertica can save you time and effort in many day-to-day analytics tasks. Whether you’re joining internal databases to external data tables for additional insight, training machine learning models, or simply tiering less critical data analysis off to a less expensive storage location, external tables can speed you through this task.

In this webinar, you’ll also learn how external tables are a fantastic way to keep costs low yet maintain easy access to data of almost any age and any importance.

Internet of Things (IoT) data is exploding, driven in part by the adoption of connected home technologies such as smart thermostats. While the adoption of connected home technology is increasing at a dramatic rate, creating value from the growing volume of sensor data generated by smart devices requires a new approach to advanced analytics at increasing scale.

Join us for the latest Iot Central webinar to learn how Ecobee, a maker of wi-fi enabled smart thermostats, leverages Vertica advanced analytics to process massive raw data clusters at scale to build thermal models so customers can intelligently manage heating and cooling systems and contribute to a sustainable future.

During this presentation, we will explore how:
• Vertica in-database machine learning uses massively parallel processing and a familiar SQL interface to accelerate time-to-value on predictive analytics projects
• Ecobee’s Vertica implementation and broader analytics stack allows them to answer analytics and data science questions faster
• Ecobee is using smart thermostats and data analytics to unlock new innovations around demand response management, time of use optimization and energy storage

Looking for a way to get the most of your data stored in Hadoop? During this 45mins demo you will learn how you can use Vertica to analyze your data in place on HDFS or S3 storage and avoid moving and reloading. Vertica SQL on Hadoop is platform agnostic and will integrate with any distribution of Hadoop. In addition, a comprehensive set of in-database Machine Learning functions built-in to Vertica allow analysis in place without sampling or movement of large datasets. Join us to see it in action!

In today’s data driven world, where effective decisions are based on a company’s ability to access information in seconds or minutes rather than hours or days, selecting the right analytical database platform is critical.

Join us on this webcast and learn about the criteria for choosing an analytical database, the process for transitioning away from PostgreSQL, and how three leading data-driven companies successfully transitioned to Vertica for a scalable, high-performance analytics solution.

Wondering where to start with Vertica? Want to see it in action? Join us for this 30 minute live demo to hear more about the basics of software installation, best practices, and cluster deployment. You will learn about the Vertica Management Console used to deploy Vertica nodes and monitor and manage a database cluster through any web browser. Bring your questions!

Join us for this Webinar to see a live demo – powered by the Vertica 9 Advanced Analytics Platform – that combines in-database geospatial functions with Machine Learning algorithms to increase the efficacy of business analytics for Retail and B2B Marketing.

By following our complete data science workflow, learn how you can extract new key insights by applying predictive analytics to a blend of classical business-rich data from a corporate data warehouse with new detailed localization data gathered from mobile applications and from IoT sensors.

In this session, Quantyca will show you:
• A live demo of predictive analytics on a real, complex GPS data set, containing all the taxi rides in the city of Oporto
• An end-to-end data science workflow, from the business problem statement to model synthesis of and their accuracy evaluation
• The development of temporal and geospatial analytics on classical logistics and marketing problems
• An understanding of the underlying business due to graphical visualizations of the model results and the integration of Vertica in-database analytics with self-service BI tools

Are you making the most of streaming data, providing timely value to your business, and keeping ahead of the competition?

Join us for this next session of “Under the Hood” of Vertica as we take a deep dive into Vertica’s integration with Apache Kafka, Hadoop, and other open source solutions to ease data integration challenges and enable continuous, real-time processing and transformation of data streams.

Learn how Vertica works with Kafka to stream data into and out of Vertica for actionable insight.

Embedded analytics closes the last mile between insights and action. It puts charts, reports, databases, and entire self-service analytical environments inside applications that run your business.

Join us on this webcast and learn how embedded analytics can add value to your applications and drive competitive advantage. You will also see real life examples of companies that have successfully embedded solutions like Vertica Big Data Analytics.

What You Will Learn:
• Why you should embed analytics
• Pros and cons of embedding open source versus commercial analytics products
• Evaluation criteria for selecting an embedded product
• Real-life use cases from Vertica customers who have had success embedding analytics

Join us for an exciting and highly informative look at the newest and most powerful release of Vertica.

Vertica 9 delivers high-performance in-database machine learning and advanced analytics anywhere, anytime, on any major cloud.

This latest release also offers direct querying of Parquet data on AWS S3, support for Google Cloud Platform and Azure Power BI, and the beta release of cloud optimized separation of compute and storage.

Recently Tesco went out in an Essential Retail article and defended legacy systems. “If you don’t have legacy, you are probably not in business”, said their CDO, Thomas Nielsen. So what would Vertica have to offer Retail if legacy is that good?

In this webinar we’ll look at some of the strategic areas that are transforming retail, its operations, and its interaction with the ones who call the shots – the customers. The best use of Vertica in a retailer might not necessarily be to deploy it as a replacement for any of its siloed legacy systems, but rather to provide a means to explore, analyze and visualize insights derived from several of these legacy systems.

This is exactly what Zoined, a Vertica OEM partner, does in its analytics offering. Zoined Retail & Hospitality Analytics is a cloud based SaaS product, which out of the box contains 90-95% of the metrics and KPIs used by retailers and hospitality operators to track and monitor their businesses, giving them support for smarter decisions and actions in key areas such as assortment, cross-sell and staff performance optimization, all in real time.

Styrbjörn Torbacke, the MD of Zoined will describe how Vertica allows them to combine, correlate and present operational insights in real time to relevant staff in a retail environment.

Big Data has been disrupting the way we live and work for decades, creating new opportunities for more personalized customer engagement, improved security, greater automation and operational efficiency.

Businesses who prioritize and modernize their analytics strategy and technology to monetize their data will lead and succeed in our data-driven world.

Join Colin Mahony, Senior Vice President and General Manager of Vertica, on this webcast to hear the Big Data waves of disruption, and how Vertica is helping customers around the world ride the top of those waves.

Hear about how the new Micro Focus is powering its software portfolio with analytics, and learn more about Vertica, the advanced analytics platform engine for the world’s most data driven organizations, including Facebook, Uber, Etsy, Cerner, Anritsu and so many more.

Join us for this complimentary webcast and learn about trends in big data analysis for advertisers and ad agencies. We’ll show you how it’s done inside one agency and how cutting-edge advertisers rely on Vertica to fly through analysis of huge amounts of data.

This webcast will feature:

• Jeff Cotrupe, Analyst, Frost & Sullivan – talking about trends in digital advertising and how you can derive rapid analytic insights from your advertising clickstreams and campaign data

• Tibor Mozes, CTO Arrivalist – sharing his practical knowledge on how he achieved success in analyzing massive amounts of click-stream data

• Steve Sarsfield, Product Marketing Director, Vertica - sharing details on the secret sauce behind big data analytics with Vertica

See how you can use Vertica for Big Data Analytics to deliver more tangible results from your digital advertising.

Join us for this next session of “Under the Hood of Vertica” as we take a deep dive into Vertica’s integration with Apache Spark, an in-memory data processing engine.

Our technical experts will discuss Vertica’s latest support for Apache Spark version 2.1, review common use cases for each, and demonstrate how to leverage Vertica and Spark together to enable continuous, real-time processing and transformation of data streams.

As we’ve learned from the recent WannaCry and Petya attacks, attackers can now bypass not only antivirus systems but more advanced, next-generation security systems and put large enterprises out of service.  Today, detecting advanced attacks requires understanding their behavioral patterns and analyzing massive amounts of data in near real time. This can be achieved by using machine learning, behavioral analysis and big data security analytics.

Join us on this webcast and learn how Cyberbit Endpoint Detection is using next generation technologies originally developed for confidential military projects, to detect threats that outsmart conventional security solutions.

What you will learn:

-Why most organizations are vulnerable to advanced cyberattacks even after deploying security systems
-How behavioral detection and machine learning can surface a cyber threat that penetrated the organization - before damage was done.
-How you can detect zero-day attacks and accelerate response and slash SOC operation cost
-How Cyberbit uses Vertica with near real-time data ingestion and advanced data transformation from hundreds of thousands endpoints

Join Microsoft and Vertica cloud architects for a deep dive into how data-driven organizations are applying the new Azure VM Image to optimize Vertica for high-performance analytics on the Microsoft Azure Cloud.

During this webcast, you’ll discover the wide range of use cases for Vertica’s advanced analytics. You will also learn about the new industry-leading capabilities that Azure delivers as an open, flexible, enterprise-grade cloud computing platform for Big Data analytics at scale with best practices for deploying and managing Vertica in the Azure cloud.

Continuous monitoring of machine and sensor data help equipment manufacturers and service providers predict and address maintenance issues before they occur, unlocking new value for manufacturers and customers in the form of service cost reductions, new revenue opportunities, SLA adherence, operational efficiencies, reduced downtime, and more. All of these use cases are driven by analyzing terabytes to petabytes of data collected from sensors and Machine to Machine (M2M) communications.

Want to hear how you can unlock the full value of sensor and machine-generated data to optimize manufacturing processes and ensure quality output? Join Alon Malki, Chief Architect at Optimal+, and Jeff Healey, Director of Product Marketing at HPE Vertica, for the IoT Institute hosted webinar, Deploying Advanced Analytics & Manufacturing Intelligence with Optimal+ & HPE Vertica.

On this free webinar you’ll learn:
• Why HPE Vertica Analytics Platform is purpose built for IoT data
• The challenges Optimal+ faced when developing a solution for IoT analytics, and
• How Optimal+ leverages HPE Vertica to create an ideal big data architecture