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

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

Designing and deploying an effective predictive analytics model that is integrated into a company’s daily business operations can be very challenging. Data scientists often use complex machine learning models to exploit large volumes of data from multiple environments and technologies to deliver analytics that the business needs.

Join us on this webcast as we walk you through the data science journey applied to a real case and learn how you can automate the entire data science workflow.

See how the integration of Dataiku, the collaborative data science platform, and Vertica, the ultra-fast analytics database platform with built-in machine learning, can help you speed the deployment of data-intensive predictive analytics.

Learn how to:
• Design connections to existing data sources with Dataiku
• Understand your datasets with built-in charting capabilities and data pre-aggregation
• Reduce the time it takes for the data preparation phase
• Leverage the scalability and speed of Vertica

Digital Service Providers need analytics to improve their operations and to exploit new revenues streams. The higher the quality of network intelligence, the more they can differentiate on their core asset to meet their subscriber’s needs and business partner expectations. Network engineering must take critical actions on very complex systems to improve the service quality for customers, while Telco marketing needs actionable, self-service, easy analytics to exploit most effective levers to increase revenues.

Procera Networks is a 100 MUSD+ company with products serving more than 450 million subscribers in 80 tier-1 operators and 500+ enterprises around the world. Procera leverages big data and advanced analytics to build a complete service network ScoreCard with continuous measurement reports for all type of traffic from all live subscribers all the time. In this webinar, we will discuss how records are pumped into a central Vertica analytical database from a distributed Packetlogic probe setup, and aggregated up with 15 different dimensions (e.g. location, handset, customer, tier, topology, line card, VNF) to see the true impact of these dimensions on quality delivered to subscribers.

We will also discuss how Procera helps Telco companies monetize network data enabling any “consumer industry” to deliver better-personalized marketing offers based on user habits and content consumption. Procera pushes the bar on advanced analytics using Vertica to store and mine the subscribers’ behavior gathered via a Deep Packet Inspection (DPI) engine detecting 2900 unique application signatures and 294 content categories. This rich fine-granular information is used to profile subscribers in relevant “marketing personas” for highly targeted offerings. We will discuss the key critical success factor to execute monetization strategies tapping from Procera experience and the requirements of the underlying analytics platform.

Data management and analytics tools will be the core enabler of new values created by the intersection of the Internet of Things (IoT), people and the physical world. However, challenges related to IoT data management and analytics are currently hindering the implementation of increasingly complex IoT applications that will drive this value.

By providing an offering that addresses these key IoT data challenges, the Vertica Analytics Platform goes far beyond fragmented and legacy systems that are simply not equipped to handle the challenges of IoT data. Harbor Research recently authored a white paper on the HPE Vertica Analytics Platform, which details how Vertica addresses the myriad challenges posed by IoT data.

Join us for this latest IoT Central webinar and you will learn:
- What is really meant by IoT data management and analytics
- Why legacy solutions are not suited to handle IoT data
- How Vertica’s key functionalities and ecosystem address the challenges of IoT data
- How equipment manufacturers and IoT platform providers can act as catalysts for delivering IoT data management and analytics solutions

Artificial intelligence (A.I.) is the talk of the tech industry this year, but nine times out of ten what's really under the hood is machine learning. What's behind this new generation of “predictive” and "smart" analytics and why are we hearing about it now?

Join us for this webcast as we explore the emergence (or reemergence) of machine learning and "A.I.," and how data-management practices are evolving to keep up with the new speed and scale of business through continuous, streaming applications and real-time predictive capabilities.

What You Will Learn:
• How analytics are evolving from descriptive analytics to predictive and prescriptive analytics.
• Why data, compute capacity, analytic prowess and development time are crucial to machine learning success.
• Why micro-services and APIs will be crucial enablers of embedded analytics and next-generation smart apps.
• How leading firms are overcoming data science talent shortages through adoption of new technology and organizational structures.

Contactlab provides products and services that enable brands to get the most out of their customer engagement strategies. Effective digital communications must be both scalable and personalized with the ability to reach potential and existing customers anywhere, at any time, through multiple channels.

Contactplan enables marketers to precisely define the best audience for their marketing campaigns exploiting, thanks to HPE Vertica, all demographic and behavioral data in real time and then applying tailored delivery plans to them, all with no technical know-how requirements for the campaign managers.

The webinar will discuss how brands can improve campaign effectiveness with behavioral data, the benefits of real-time analytics for brand managers and the lessons learnt by Quantyca, the solution integrator partner of Contaclab, on key design principles and most performing architectures for customer analytics leveraging the speed and advanced “in-database” analytics of HPE Vertica.

Microsoft® SharePoint sites have become a dumping ground for enterprise and customer information. This practice, compounded over time, compromises your investment in SharePoint, minimizes productivity and can even result in the risk of failing to comply with internal and external regulations (GDPR). Join us to learn how HPE
ControlPoint can help you clean up your SharePoint sites and regain control of your data.

In the last few years, telecommunications networks have experienced exponential increase in data volume, while the expected response time for analysis on those data volumes have experienced a similarly exponential decrease. Within half a decade or so, telecommunication networks have gone from Gigabytes of data and sub-minute response time to Exabytes of data and sub-second response time! At Anritsu, with the help of HPE Vertica, real time, predictive, multi-dimensional analytics solutions have been designed which are ensuring customer experience and service assurance for over 1 billion telecommunication subscribers world-wide. Join us to find out more about this innovative solution from Anritsu which utilizes the field proven, extensive analytics capabilities of HPE Vertica.

Attend this webinar to learn how HPE’s application retirement solution can help reduce the overall recurring cost of managing legacy PeopleSoft instances by up to 40%.

The costs of licensing, operational, and skilled resources in maintaining legacy PeopleSoft environments can reach hundreds of thousands of dollars each year. In addition to these costs, organizations expose themselves to various security and privacy risks associated with the improper management of employee data stored in these inactive systems.

With HPE’s application retirement and archiving solution, you can retire multiple PeopleSoft instances while retaining seamless access to the historical data for compliance and reporting. Built on HPE’s market leading Structured Data Manager platform that relocates inactive data from expensive tier 1 production systems and legacy databases while preserving data integrity and access, you can be confident that the solution is scalable, flexible and secure.

Join us to hear more about how HPE Structured Data Manager for PeopleSoft Enterprise can help you simplify the retirement of legacy PeopleSoft instances and reduce the cost, complexity and risks associated with managing legacy applications and data.

You can’t talk about big data today without hearing about Hadoop. For many people, Hadoop is synonymous with big data, but it’s not necessarily the best tool for every use case and every project. Before committing to it, businesses need to ignore the hype, look at their needs, and determine if and where Hadoop fits into their big data initiatives.

Join Bill Theisinger, vice president of engineering for platform data services at YP(sm), formerly known as YellowPages.com, to hear how his company is maximizing the value they get from Hadoop by supplementing it with HPE Vertica, an analytical database.

In this webcast, you’ll learn:
• The benefits and drawbacks of using Hadoop
• Where Hadoop can fit into big data initiatives
• How to supplement Hadoop with an analytical database

Avito, based in Moscow, is Russia’s fastest growing e-commerce site and portal. It uses Big Data technology to monitor and improve the placement of advertisements, and to better understand how their users are adapting to online business.

In this webinar, Nikolay Golov, Data Warehouse Architect at Avito, who has over 10 years’ experience for banks, retail and e-commerce, will share the lessons they have learned when implementing and expanding their HPE Vertica-based analytics infrastructure over the past 4 years.

This will include identifying the risks and demonstrating how those risks can be efficiently and effectively overcome with the right technology stack: HPE Vertica, which processes data from dozens of heterogeneous data sources and monetizes it through Machine Learning.

Join this webinar to learn more.

Over 10.000 large advertisers rely daily on Adform global advertising infrastructure to create millions of personalized experiences for top brands across websites, mobiles and digital media. The supporting platform handles over a million requests per second, each of which requires complex statistics, modeling and decisions to be calculated on a large number of datasets including each user’s digital journey touchpoints, CRM data and 3rd party demographic profiles. Vertica Analytic Database is making this possible using the best of open-source innovation from Hadoop, Kafka and Spark with the simplicity of SQL.

Stefan Sommer is responsible for Data at Adform and will deep dive into how it all works, performs and scales on more than 1000 servers distributed globally with emphasis on Vertica which has been at the core for several years.

Why attend?
• Discover how Adform analyzes users’ insights and delivers an advanced web experience in real time
• Learn how the Vertica Analytical Database simplifies scoring of advanced machine learning models for CRM applications in nano seconds from data stored on Hadoop
• Get answers to your own questions during the live Q&A

An explosion of Big Data is rapidly changing the IT landscape. While Big Data generates vast opportunities for new sources of revenue, customer insights and operational efficiencies, it also creates new challenges for existing data infrastructure. To keep up with this explosion and capitalize on new data-driven business opportunities, enterprises must select a data analytics architecture that fits the specific needs of their business and the structure of their data.

Join us for our latest Data Science Central Webinar with guest speakers Mike Gualtieri, VP and Principal Analyst at Forrester, and Steve Sarsfield, product evangelist and spokesperson for HPE Vertica, while they discuss a newly commissioned study on enterprises that select the correct mix of analytical engines and the best database for each job. They will review:

• How a diversity of analytical engines can drive greater ROI
• Which databases have distinct capabilities and “sweet spots”
• Why no one database can do it all

Suunto, owned by Amer Sports, is enriching the customer engagement from hi-end extreme sport watches and outdoor instruments to a full digital experience composed by self-service analytics over their sport competition and training session data. Mining wearables to give real-time answers to sport and fitness fans requires cost-effective, extremely fast IoT Analytics at very large scale.

Suunto runs Vertica to enable a multichannel experience over watches, mobile apps and their brand new Movescount.com website, where users can log everything and compare their performance instantly with peers to enable virtual competitions.

Suunto selected the Vertica Analytic database to cope with ingesting and analyzing the massive data from customers and feeding results back to downstream systems via REST APIs in real-time. The cost-effective analytical database also helped to cope with a variety of challenges to support Suunto cloud services managing over 50 different types of devices and 50 application partners for vertical sport apps.

Why attend?
• Discover how companies are using IoT analytics to enrich their products with online services from wearables data to excel at customer engagement and brand differentiation
• Learn why Vertica is different for IoT Analytics and why it is chosen by New Economy leaders for connected devices
• Get answers to your own questions during the live Q&A

Two distinct trends are converging! Cloud is proving immensely useful in providing elastic, measurable, on-demand and self-service resources to organizations of all sizes. The uptake in 2016 has been phenomenal, continuing the biggest transformation that technology professionals will experience in their careers. Also, data-driven organizations are relying even more than before on analytical databases to load, store, and analyze volumes of data at high speed to derive timely insights.

A benchmark study was conducted to assess query performance and concurrency impact of HPE Vertica and AWS RedShift running in the Cloud. The benchmark (expanding upon UC Berkeley’s Big Data Benchmark) simulated scenarios to answer fundamental business questions that every enterprise might encounter and ask.

In this webinar, we will discuss the results and key takeaways of the benchmark. We will also uncover, how to achieve high-performance and scalable analytics in the cloud and augment current, on-premises platforms—in a cost-effective manner.

Join Dana Gardner with Interarbor Solutions and Kevin Decker with Quest Diagnostics in this webcast to discover how to integrate data silos to unlock healthcare structured and unstructured content to accelerate insight discovery and increase effectiveness. Using a real world example within the healthcare industry, you'll hear about industry trends and challenges and how Quest Diagnostics built their ChartMaxx solution leveraging the HPE Idol platform to benefit both patients and providers.

For patients, this feature means that all of the data in their electronic medical records is easily accessible to their healthcare provider, who may refer to this information in making diagnostic determinations, prescribing medications and other healthcare decisions. It also helps the healthcare provider access the data they need more quickly. These advantages ultimately lead to better patient care.

Get your questions answered and hear how the Spin-Merge benefits our abilities to deliver advanced analytics and machine learning for your Big Data needs.

Join two of our HPE Software Big Data leaders to hear firsthand about the recently announced spin-merge. Gain direct insight into what it means for you. This is a big opportunity for us to deliver even more of the advanced analytics at Exabyte scale that all data driven organizations depend on in our fast moving world. Hear about our Big Data portfolio strategy including upcoming innovations addressing performance at scale for tomorrow’s workloads, infrastructure independent deployments and a growing set of in database machine learning algorithms. Bring your questions and join us on this accelerated journey to success.