Hi [[ session.user.profile.firstName ]]

Secure your Big Data Analytics for GDPR Compliance

Can you protect personal data in analytical databases, while increasing data access, and enabling compliance with GDPR and other data privacy regulations?

In this session, you will learn how Voltage SecureData for Vertica, a data-centric security offering that puts the control on the analytics data using format preserving encryption, enables trusted big data to move between untrusted environments. As a result, this combined solution allows data protection to persist as the data moves from storage to in-flight to in-use within applications without requiring changes to downstream applications.
Recorded Oct 30 2018 55 mins
Your place is confirmed,
we'll send you email reminders
Presented by
Tom Wall, Sanjay Baronia and Carole Patrice Murphy, Micro Focus
Presentation preview: Secure your Big Data Analytics for GDPR Compliance

Network with like-minded attendees

  • [[ session.user.profile.displayName ]]
    Add a photo
    • [[ session.user.profile.displayName ]]
    • [[ session.user.profile.jobTitle ]]
    • [[ session.user.profile.companyName ]]
    • [[ userProfileTemplateHelper.getLocation(session.user.profile) ]]
  • [[ card.displayName ]]
    • [[ card.displayName ]]
    • [[ card.jobTitle ]]
    • [[ card.companyName ]]
    • [[ userProfileTemplateHelper.getLocation(card) ]]
  • Channel
  • Channel profile
  • Five Ways Analytical Platforms Are Evolving for Your Hybrid, Multi-Cloud Future Oct 15 2020 3:00 pm UTC 60 mins
    Join Doug Henschen, Vice President and Principal Analyst at Constellation Research and Mike Conway CTO, Bidtellect
    Companies that are not innovating with data are in danger of being disrupted. And companies that are not at least considering the agility and flexibility of cloud options are missing a crucial path to data-driven innovation. The question is, how can organizations prepare for their cloud future without moving everything to the cloud today? And how can organizations future proof their investments, avoid both cloud lock-in and architecting for two separate (cloud and on-premises) worlds.

    Join Doug Henschen, vice president and principal analyst at Constellation Research, and Mike Conway, CTO, Bidtellect for a discussion on the trends in data-driven innovation and next-generation analytical platforms that can span multiple cloud and on-premises deployment. You’ll learn:

    • Why hybrid- and multi-cloud deployment flexibility is a must
    • How separation of compute and storage changes the economics of analytics
    • Why operationalizing data science innovation, leveraging machine learning, is crucial for business impact
    • How data lakes are evolving, requiring yet more flexibility from analytical platforms
    • Why it’s crucial to obtain scalability and performance proof points before choosing a platform
  • Top reasons why becoming a Vertica partner Oct 15 2020 8:00 am UTC 60 mins
    Erik Stalpers, Vertica Senior PreSales Consultant & Bartlomiej Niewiadomski, Vertica Partner Business Manager
    The global Big Data and Business Analytics Market size was valued at $171.39 Billion in 2018 and is projected to reach $512.04 Billion by 2026, growing at a CAGR of 14.80 percent between 2019 and 2026 according to a recent study published by Valuates Reports. Are you ready to partner with us to get your fair share of this revenue opportunity?
    At Vertica, we had the vision to build the big data analytics platform meeting speed and scale for the huge amount of data we saw coming. We deliver performance at Exabyte scale. We built in-database analytics functions meeting customer’s expectations. We integrate with open source technologies and we continue to expand our portfolio through an adaptive, ecosystem-friendly architecture.
    We put our customers first and we treat our partners as family. Together, we help companies to significantly improve their big data and analytics performances to achieve their goals.
    During this session, we will share our key competitive advantages as well as our plans to meet our customers’ expectations. We will also outline our channel partner advantages and support.
    Agenda:
    Why Vertica: The Race for Unified Analytics Warehouse
    Erik Stalpers, Vertica Senior PreSales Consultant
    • Vertica empowers companies to become data driven and disrupt their industries
    • Why Big Data is not enough and can’t be dissociated from the right analytics platform
    • Discover successful Big Data Analytics use cases – how our customers are unifying and acting on all their data to achieve great results
    • Vertica customer’s ROI: 4.07$ for every $ invested
    • Competitive positioning
    A 5-Star program recognized by Computer Reseller News (CNR)
    Bartlomiej Niewiadomski, Vertica Partner Business Manager
    • Discover our channel partner program benefits: your success is ours
    • Marketing development funds: Our investment to make you successful
    • Transparency & end to end lead generation processes
    • Team up for new partners: how to accelerate our presence
  • Vertica in Eon Mode running natively in Kubernetes Oct 7 2020 3:00 pm UTC 60 mins
    Jan Soubusta, GoodData and Paige Roberts, Vertica
    Imagine a Vertica cluster running on any hardware or OS platform, scaling up and down seamlessly, and operating with zero-downtime. At GoodData, we decided to make this a reality by using the Kubernetes ecosystem. Because stateful clusters are not easily managed in Kubernetes, we implemented a custom operator with the operator SDK for Vertica running in Eon Mode. The Eon Mode implementation is running on MinIO storage, which is deployed in Kubernetes. This presentation describes our use case in detail, including the architecture and design of the solution, as well as a description of our deployment.
  • Anticiper les besoins client pour booster conversion et fidélisation Sep 29 2020 9:00 am UTC 90 mins
    Mathieu Rondeau, Directeur Marketing & Innovation, Mydral - François Guerin, Consultant Avant-Vente, Vertica
    Connaissance client 360°.

    Les chiffres de nombreuses études le montrent, le coût de l’acquisition d’un nouveau client est 5 à 7 fois plus élevé que le coût de la fidélisation. Pourtant, selon une étude de McKinsey & Company, le panier moyen d’un client fidèle (€52,50) représente près du double de celui d’un client acquis (€24,25) !

    Afin de répondre à ces deux objectifs intimement liés : acquérir et fidéliser des clients ; les entreprises doivent unifier leurs équipes ainsi qu’observer et analyser les mêmes données / KPIs.
    Dès lors, comment pousser les limites de la connaissance client ? Le combo Data hub Vertica connecté à Tableau permet de répondre à ce besoin et de converger vos data pour une vision client 360° et un pilotage en temps réel.

    Participez à notre webinar afin de découvrir :

    - Pourquoi les objectifs et équipes décousues favorisent l’attrition client ?
    - Comment pallier ce problème en remettant le client et les données au cœur de votre activité ?
    - Comment l’utilisation d’un entrepôt de données intégrant l’ensemble des besoins analytiques là où la donnée réside vous permet de rendre vos équipes plus agiles et votre entreprise plus efficace ?
    - Une démonstration concrète d’exemples de rétention et d’acquisition client via l’intégration Vertica / Tableau pour communiquer efficacement les analyses historiques et prédictives pertinentes à l’ensemble de vos équipes et accéder à des tableaux de bord en toute souplesse.

    Vous souhaitez en savoir plus sur la connaissance client ainsi que ses enjeux et avantages ? Notre Webinar est fait pour vous ! Réservez votre place dès aujourd’hui !
  • How natural language processing approach can improve supply chain responsiveness Recorded: Sep 24 2020 53 mins
    Giuseppe Pagannone, Tesisquare & Jeff Healey, Vertica
    A data-driven approach and advanced analytics are key to supporting supply chain manager decisions. The natural language processing approach improves their capacity to easily access information wherever they are and at any time.
    This webinar focuses on the benefits of applying a natural language approach to accessing data and information provided by a control tower software solution.
    • Enhance agility and data-driven decisions with access to smart dashboards integrated with live operational data.
    • Receive automated proactive notifications when events trigger them.
    • Reduce negative impacts by putting actions in place promptly.
    A data-driven approach can improve your forecast capabilities, improve your knowledge and mitigate the impact of negative events.
    Don’t miss this webinar to discover how Tesisquare uses Vertica to accomplish this.
  • Partnering with Vertica: Virtual NEXTGEN Lunch 'N Learn with Vertica! Recorded: Sep 16 2020 57 mins
    John Pritchard, NEXTGEN Micro Focus Business Manager, and Jian Qiang Shi, General Manager Vertica APJ Channel and Alliance
    The world’s largest data-driven companies rely on Vertica, including Uber, Twitter, AT&T, Philips, Cerner, and many more. Offering the highest performing analytics and machine learning at extreme scale, Vertica can help your enterprise customers derive more value from their data, wherever it resides: on-premises, in data lakes, or public clouds, and it can help them go to market faster with their analytics initiatives.

    Join John Pritchard, NEXTGEN Micro Focus Business Manager, and Jian Qiang Shi, General Manager Vertica APJ Channel and Alliance and find out how Vertica's market-leading technology and channel support enables partners to address emerging opportunities quickly to build pipeline and ultimately create more resilient and profitable businesses. We'll be sharing:
    •Vertica product overview and market positioning
    •Vertica use cases and success stories
    •Vertica GTM strategy
    •How to succeed as a Vertica partner
  • Predictive and Visual analytics accelerator for Gaming Recorded: Sep 15 2020 61 mins
    Rahul Jain, BizAcuity; Rachna Pande, BizAcuity; Lokesh Sharma, Vertica
    BizAcuity Accelerator is an end-to-end, fully automated AI/ML based gaming analytics platform, powered by Vertica Unified Analytics Warehouse. It provides ready-to-use predictive models and dashboards for the gaming industry. The platform supports continuous processing of multiple data uploads, running of predictive models and dashboards by multiple concurrent users, and is able to process data uploads across clients in a single day.

    Join BizAcuity and Vertica for a webinar that explores how Vertica’s blazing speed and high concurrency has made Vertica one of the top analytics platforms for staging and data enrichment in the gaming industry. You will learn:

    •How BizAcuity Accelerator uses the Vertica engine in real-time
    •How the system handles continuous processing of multiple data uploads
    •How BizAcuity views the current state of the gaming industry
  • Achieving Predictive Analytics at Scale to Achieve Greater Enterprise Intelligen Recorded: Sep 9 2020 59 mins
    Brought to you by MediaTech for IDC, HPE, Micro Focus, and Vertica
    According to IDC, 87% of the U.S.-based CXOs said that greater enterprise intelligence is a key priority for them over the next 5 years. Where do you stand and how will your data analytics architecture scale to support your goals?
    Join our special Webinar event to learn how Predictive Analytics at Scale will change how companies confidently advance their decision models to accelerate predictive analytical performance and achieve true market differentiation. In this webinar you’ll hear the key findings from IDC’s latest cutting-edge research, based on surveys and conversations with hundreds of leading CXOs to answer:
    •What data and analytics changes are affecting enterprises?
    •What are the biggest challenges cited by data professionals?
    •To what extent does the output of business intelligence and analytics influence or affect decision making?
    •What are the decision-making characteristics by usage pattern?
    •How is Vertica and HPE’s combined analytic & cloud solutions driving insights & competitiveness for customers?
  • From Seven Days to 30 Seconds – Microsoft SQL Server Reports Fly Fast on Vertica Recorded: Aug 25 2020 61 mins
    Joy King, VP Vertica and CB Bohn, Principal Data Engineer Vertica
    In our next Under the Hood Webcast, hear Chris “CB” Bohn, database engineer expert who recently joined Micro Focus to build out its corporate data warehouse on Vertica. Learn how has CB migrated legacy queries from Microsoft SQL Server to Vertica, specifically one report that took seven days to complete. CB rewrote 2,500 lines of T-SQL code using Vertica’s analytical window partitioning, shrinking the code down to 150 lines as a one-pass query. The report now runs in 30 seconds! If you are looking to modernize your data warehouse in record time with faster analytical performance and learn important tips and tricks from a Vertica database expert, then you won’t want to miss this Webcast.
  • Top reasons why becoming a Vertica partner Recorded: Aug 25 2020 61 mins
    Erik Stalpers, Vertica Senior PreSales Consultant & Bartlomiej Niewiadomski, Vertica Partner Business Manager
    The global Big Data and Business Analytics Market size was valued at $171.39 Billion in 2018 and is projected to reach $512.04 Billion by 2026, growing at a CAGR of 14.80 percent between 2019 and 2026 according to a recent study published by Valuates Reports. Are you ready to partner with us to get your fair share of this revenue opportunity?
    At Vertica, we had the vision to build the big data analytics platform meeting unprecedent speed and scale for the huge amount of data we saw coming. We deliver performance at Exabyte scale. We built in-database analytics functions meeting customer’s expectations. We integrate with open source technologies and we continue to expand our portfolio through an adaptive, ecosystem-friendly architecture.
    We put our customers first and we treat our partners as family. Together, we help companies to significantly improve their big data and analytics performances to achieve their goals.
    During this session, we will share our key competitive advantages as well as our plans to meet our customers’ expectations. We will also outline our channel partner advantages and support.
    Agenda:
    Why Vertica: The Race for Unified Analytics Warehouse
    Erik Stalpers, Vertica Senior PreSales Consultant
    • Vertica empowers companies to become data driven and disrupt their industries
    • Why Big Data is not enough and can’t be dissociated from the right analytics platform
    • Discover successful Big Data Analytics use cases – how our customers are unifying and acting on all their data to achieve great results
    • Vertica customer’s ROI: 4.07$ for every $ invested
    • Competitive positioning
    A 5-Star program recognized by Computer Reseller News (CNR)
    Bartlomiej Niewiadomski, Vertica Partner Business Manager
    • Discover our channel partner program benefits: your success is ours
    • Marketing development funds: Our investment to make you successful
    • Transparency & end to end lead generation processes
    • Team up for new partners: how to accelerate our presence
  • How MassMutual is evolving a data culture w/ Vertica & home-grown ingest engine Recorded: Aug 20 2020 62 mins
    Michael Roche, Mark Burke and Joe Gonzalez, MassMutual
    MassMutual selected Vertica as their corporate Enterprise Data Warehouse in 2019. It was part of a three-year project to create a company-wide data platform for various internal customers. This presentation will describe MassMutual’s new and evolving end-to-end process for feeding batch and streaming data into Vertica, and providing fast analytics and reporting. With an Amazon S3 data lake, the solution provides data standardization and enrichment, enforces column level encryption using Voltage and separates platform and application level concerns to realize self-serve. Learn how the IT organization has delivered this platform and what how it is looking to extend it further.
  • Best Practices for Real-Time Data Loading with Kafka into Vertica Recorded: Jul 28 2020 61 mins
    Serge Bonte, Vertica Best Practices and Paige Roberts, Vertica Product Marketing
    If you load data into Vertica in real-time using Kafka, then this session is for you. Learn best practices for configuring the Vertica Kafka scheduler to load various kinds of data streams into Vertica, as well as how to properly size data frames to achieve efficient and fast loading of streaming data. You will also learn how to stream data from Vertica into Kafka and receive tips and tricks for how to monitor and manage data stream loading.
  • Succeed with Smart Data-Driven Decision Making Recorded: Jul 23 2020 61 mins
    Lokesh Sharma, Sales Director - Vertica, India & SAARC & Gauarv Shinh, Founder and CEO Daas Labs
    Now you can define a data strategy and implement a data platform that serves as a single version of the truth to acquire, analyse, transform, and report data – a one-stop shop for all data needs across the enterprise.

    We invite you to join our upcoming Partner Virtual Meeting and listen to our experts talk about building an authoritative data analytics/ visualization platform that acts as single source of truth for all data related queries. During the meeting we will also update you on data ingestion and integration, data discovery, data quality and governance, data warehouse and data lake development, data consumption, and data as a service design patterns.

    Key highlights:
    •Solution to data migration problem using a no-code interface
    •Design patterns and approaches to discover and curate the ingested dataset
    •Leverage self-serve and no-code platform to generate actionable insights and consume Data-as-a-Service

    Please join us to discuss ways to leverage a modern data ecosystem that brings agility, transparency, smartness, and confidence to the enterprise decision-making process.
  • Introducing the Vertica 10 Unified Analytics Warehouse Recorded: Jul 21 2020 60 mins
    Fouad Teban, Head of Field Engineering - Jeff Healey, Head of Product Marketing - Mark Lyons, Head of Product Management
    Derive greater and faster analytical insights by unifying data siloes across cloud and hybrid environments.

    As the industry’s highest performing Unified Analytics Warehouse, Vertica 10 offers a range of new advancements to empower you to unify, analyse, and act on all your data. This major release includes more deployment options for Vertica in Eon Mode, an elastic separation of compute and storage architecture for handling variable workloads in the clouds (with Google Cloud Platform support added) as well as on-premises (with MinIO and HDFS support added) or hybrid environments. This flexible implementation delivers greater operational simplicity and more control by scaling compute resources independently of shared S3 (Simple Storage Service).

    Join us for this webcast to learn how to:
    •Unify data siloes across cloud/hybrid environments and derive greater value from your HDFS (Hadoop Distributed File System) data lake
    •Operationalize Machine Learning by importing and exporting PMML (Predictive Model Markup Language) models, including putting TensorFlow models to work
    •Analyze complex data types (Maps, Structs, and Arrays) in Parquet on S3 or HDFS
    •Achieve a lower total cost of ownership (TCO) by provisioning just the right amount of compute and storage resources for both routine queries and data science projects
    •Seamlessly migrate from Vertica Enterprise to Vertica in Eon Mode with a new migration tool
  • AI / ML enabled Demand Forecasting, Demand Sensing & Supply Network Planning Recorded: Jul 21 2020 61 mins
    Ravi Gupta & Boon Chin Koh, Vertica; Srinidhi Acharya & Pramit Kumar Patra, Aptus Data Labs
    Please join us for a virtual partner meeting and listen to our experts as they describe AI / ML based supply chain planning. During the meeting we will also update you on latest developments in the area of demand & supply planning, including the latest cutting-edge demand sensing capability using advanced AI / MI algorithms.

    Key concepts for this meeting:
    •AI / ML based Demand Forecasting
    •Demand sensing using advanced AI / ML models
    •Supply network planning & optimization
  • BI leverage at Cloud Scale in Record Time with Smart Database Management Recorded: Jul 14 2020 41 mins
    Ben White, Domo Sr. Database Engineer and Paige Roberts, Vertica Product Marketing
    The complexities of cloud-based data at scale led Domo to use Vertica both to help power their flagship product and to glean metadata to tune and optimize their ecosystem. Their internal system, called “Domo4Domo,” uses a rules-based AI engine, with elements of machine learning, to identify and eliminate conditions that cause poor performance. By achieving close to 100% uptime with this system, the team can confidently deliver on query performance SLAs, as well as adjust capacity, when needed, without increasing management costs. Join Domo Senior Database Engineer Ben White, who will discuss how analytics enables organizations to go bold, go big and go fast and how that, against the backdrop of Covid-19, is more important now, than ever before.
  • How Modern Infrastructure Accelerates Time to Insights with Vertica Recorded: Jun 23 2020 44 mins
    Miroslav Klivansky, Field Solutions Architect, Pure Storage and David Sprogis - Principle Product Manager, Vertica
    Vertica is the high-performance SQL analytics data warehouse trusted by the most data-driven organizations to transform customer engagement, fraud detection, network analysis, and more analytical initiatives. Eon Mode is Vertica’s cloud-optimized architecture designed for rapid scaling, workload isolation, and improved operations which, when paired with Pure Storage FlashBlade, is first in category to bring these benefits to the modern enterprise data center on-premises. Pure Storage's FlashBlade is the only on-premises all-flash storage validated with Eon Mode, and combines fast object storage with fast SQL analytics for a proven platform that delivers unparalleled timely insights. Join us to learn why more and more data-driven organizations rely on the Vertica+Pure platform to accelerate time to insights with a modern infrastructure.
  • Building Analytics Platform for Operationalising Machine Learning Recorded: Jun 17 2020 62 mins
    Speakers from Philips, Micro Focus & Tech Mahindra
    Data science is shaping modern businesses into data-driven organisations, with data at the epicenter of boosted profits, saved costs, and industry disruption. Handling and managing Big Data has emerged as a key modern competitive advantage. Hence, having and maintaining a proper analytics platform is crucial for the development and growth of an organisation. But managing and analyzing all that data comes at a cost. Advanced analytics and machine learning projects only show benefits when put into production operation.

    Modern Organisations are looking to build a platform that can facilitate operationalising advanced analytics, including machine learning, and build deeper predictive analytics into their products & services.

    Join us for a discussion where industry speakers from Philips, Micro Focus & Tech Mahindra will present the intricacies of establishing an analytics platform that can build a culture of advanced big data analytics that help successfully operationalise machine learning:

    •How to identify the right fit analytics platforms to support ML
    •How to systematically productize machine learning & deploy analytical insights
    •The skills and resources needed for successfully setting up an analytics platform
    •The maintainability and scalability challenges
    •Recommendations for data and analytics leaders
  • What’s New in Vertica 10 Recorded: Jun 2 2020 61 mins
    Mark Lyons, Vertica Product Management and Jeff Healey, Vertica Product Marketing
    Announced at the Vertica Big Data Conference 2020, Vertica 10 includes many features for deriving greater insight by unifying data siloes across cloud and hybrid environments. Join us for this Webcast to learn how Vertica 10 now supports PMML format to import models built in other platforms and languages like Spark, Python, and SPSS and export models built in Vertica for scoring in other systems as well as integration with TensorFlow for deep learning at scale. You’ll also learn about Vertica in Eon Mode’s expanded public cloud support for Google Cloud Platform and Apache Hadoop as communal storage, providing you with even more deployment options to dynamically manage your variable workloads. The Webcast will also highlight the next-generation Database Designer, complex data types, and much more, so register today.
  • A Clear Path to Vertica in Eon Mode Recorded: May 19 2020 56 mins
    Isaac Lee, Stephen Walkauskas and Jeff Healey, Vertica
    Data volumes are growing every minute of every day. Meanwhile, data-driven organizations are finding more sophisticated ways to derive insight from that data. With Vertica in Eon Mode, you can capitalize on both of these trends. Vertica in Eon Mode’s separation of compute and storage architecture allows massive data volumes to be stored without a significant increase in compute. And with its elastic throughput scaling and workload isolation, Vertica in Eon Mode enables more of your concurrent users to query the database without impacting one another.

    Join us for this Webcast to get a deeper understanding of the benefits of Vertica in Eon Mode. You’ll learn about the meaningful differences between this mode and Vertica in Enterprise Mode. You'll also understand the significance of a hybrid cloud analytical database, including the most flexible deployment options. Finally, you’ll learn all about our new tool in Vertica 10 that makes migrating to Vertica in Eon Mode easy.
Data Analytics without Limits
The Vertica Analytics Platform is built to handle the most demanding analytic use cases and is trusted by thousands of leading data-driven enterprises around the world, including Etsy, Bank of America, Intuit, Uber and more. Vertica delivers speed, scale and reliability on mission-critical analytics at a lower total cost of ownership than legacy systems. All based on the same powerful, unified architecture, the Vertica Analytics Platform provides you with the broadest range of deployment models, so that you have complete choice as your analytical needs evolve. Deploy Vertica on-premise, in the clouds (AWS, Azure and GCP), on Apache Hadoop, or as a hybrid model. Find more information on Vertica at www.vertica.com.

Embed in website or blog

Successfully added emails: 0
Remove all
  • Title: Secure your Big Data Analytics for GDPR Compliance
  • Live at: Oct 30 2018 5:00 pm
  • Presented by: Tom Wall, Sanjay Baronia and Carole Patrice Murphy, Micro Focus
  • From:
Your email has been sent.
or close