Welcome to the big data and data management community on BrightTALK. Join thousands of data quality engineers, data scientists, database administrators and other professionals to find more information about the hottest topics affecting your data. Subscribe now to learn about efficiently storing, optimizing a complex infrastructure, developing governing policies, ensuring data quality and analyzing data to make better informed decisions. Join the conversation by watching live and on-demand webinars and take the opportunity to interact with top experts and thought leaders in the field.
Given the recent demand for data analytics and data science skills, adequately testing and qualifying candidates can be a daunting task. Interviewing hundreds of individuals of varying experience and skill levels requires a standardized approach. In this webinar, Tanya Cashorali explores strategies, best practices, and deceptively simple interviewing techniques for data analytics and data science candidates.
W tym miesiącu został ogłoszony nowy model Data Domain DD330.
•Dla kogo jest przeznaczony?
•Jakie środowiska zabezpiecza?
•Jakie nowości wprowadza?
Zapraszam na 30 minutową dyskusję gdzie powiemy o wszystkich szczegółach nowego DD3300.
Piątek, 23 luty, 10:00, 30 minut.
Całość informacji w trakcie porannej kawy!
A snapshot demonstration of the process and syntax required to perform proximity searches within CloudNine to locate responsive terms that are not only in the same document, but close to each other without having to be in an exact phrase.
When performing keyword searching, the challenge to performing those searches effectively is to balance recall (retrieving responsive documents with hits) and precision (not retrieving too many non-responsive documents with hits). One way to achieve that balance is through proximity searching, which is simply searching for two or more words that appear close to each other in the document. Proximity searching is more precise then an AND search (where two terms can appear in the document together but be completely unrelated) with more recall than a phrase search (where the terms must be exactly together in that order), so proximity searching can be a valuable search strategy for striking the proper balance in your search results.
Training Snapshot Presenter: Brian Kelley
Brian is the Director of Customer Success for CloudNine. At CloudNine, Brian manages training, support and customer success efforts for CloudNine's Software-as-a-Service (SaaS) eDiscovery clients. Brian has extensive experience providing legal technology consulting and technical support services to numerous commercial and government clients ranging from multinationals corporations and large law firms to litigation support providers and governmental agencies.
Join this panel discussion of technology solution, information security, legal privacy and data protection experts along with Informatica’s Director of Product Marketing for Data Security to find out:
- How does GDPR change the way security is approached by both Internet application developers and security professionals?
- What are the rights provided to data subjects by GDPR and how does this change the way Internet business applications must be designed and secured?
- How can organizations demonstrate the GDPR requirements for Article 25: Data Protection by Design and by Default?
Day 3 of 3 day series:
Day 3 - Focus on Security side of GDPR from a technology perspective
~ Day 1 – Overview of key concepts with legal and technical discussion of suggested actions
~ Day 2 – Focus on Privacy side of GDPR from a technology perspective
Eric Greenfeder, Primitive Logic Chief Architect
Nathan Wenzler, AsTech Consulting, Chief Security Strategist
Michael Rubin, Latham & Watkins Partner – Privacy and Data Protection
Robert Shields, Informatica Director Product Marketing for Data Security
Silicon valley venture capitalist Jake Flomenberg gets to see, track and make investments in the evolution of big picture technology trends across areas such as big data analytics, machine learning and artificial intelligence, and emerging modern data platforms and data types that are enabling organizations to be data and analytics-driven. Data driven companies make more effective information backed decisions and tend to significantly outcompete their peers operating on guesses and gut feel. Some companies are now even selling ‘data products’, for example aircraft engine manufacturers tracking and analyzing huge volumes of engine performance data to enable predictive maintenance, fixing things before failure to avoid costs and negative impact on customers.
Jake will discuss trends he’s seeing related to the data analytics market, such as the growing need for self-service data discovery on very large volumes of data, analytics on streams of data, analytics on unstructured data, and contextual analytics embedded inside of software vendor and enterprise applications. He’ll discuss the characteristics of these markets, where he sees these markets going in the future, and why his firm chose to invest in a company like Zoomdata.
Zoomdata CTO Ruhollah Farchtchi will then discuss industry trends he has forecast for 2018 including the eclipsing of relational databases by modern data platforms for doing analytics, how the cloud has changed the game for application development, and how working with streaming data is becoming the new normal. He’ll also discuss trends that are more specifically relevant to Zoomdata such as how to leverage the value of company’s investments in modern elastically scalable back-end data infrastructure and how to get corresponding value on the front-end, such as the ability to analyze and get insights from huge volumes of data, streaming data, and unstructured data types.
You’re a CIO, CISO or DPO - and you’ve been woken up in the middle of the night because personal data held by your organization has been discovered for sale on the dark web. This disclosure puts the privacy of your customers at risk. What do you do next?
Join this session to learn about the impact of GDPR and go through a breach investigation and response scenario as it would be after GDPR comes into effect in May 2018.
What you will learn:
- What breach response will look like under the GDPR
- What tools and processes a data privacy officer will rely on in case of a breach
- What departments and entities will be involved beyond IT
- What activities are currently happening within organizations to prepare for the GDPR
- What the consequences of the breach could be
Watson is a computer system capable of answering questions posed in natural language. Watson was named after IBM's first CEO, Thomas J. Watson. The computer system was specifically developed to answer questions on the quiz show Jeopardy! (where it beat its human competitors) and was then used in commercial applications, the first of which was helping with lung cancer treatment.
NetApp is now using IBM Watson in Elio, a virtual support assistant that responds to queries in natural language. Elio is built using Watson’s cognitive computing capabilities. These enable Elio to analyze unstructured data by using natural language processing to understand grammar and context, understand complex questions, and evaluate all possible meanings to determine what is being asked. Elio then reasons and identifies the best answers to questions with help from experts who monitor the quality of answers and continue to train Elio on more subjects.
Elio and Watson represent an innovative and novel use of large quantities of unstructured data to help solve problems, on average, four times faster than traditional methods. Join us at this webcast, where we’ll discuss:
•The challenges of utilizing large quantities of valuable yet unstructured data
•How Watson and Elio continuously learn as more data arrives, and navigates an ever growing volume of technical information
•How Watson understands customer language and provides understandable responses
Learn how these new and exciting technologies are changing the way we look at and interact with large volumes of traditionally hard-to-analyze data.
The world of data is changing at breakneck speed. Costs are dropping, speed is increasing, and centralization is getting easier. But getting more value from your data isn’t always easy. We’ll talk about the key trends in analytics and how to prepare your organization for this new world.
Join this webinar and learn:
- Which new analytic technologies and trends you need to be aware of and how they’ll impact your business;
- How to use new technologies to actually empower business users to self-serve to answers and make better decisions using data in their day-to-day workflows
- Pitfalls to avoid (and flashy technologies to ignore) when you’re planning your analytics strategy
AI is changing the way organizations do businesses and how they interact with customers. AI continues to drive the change. Deep Learning and Natural Language Processing will become standards in AI solutions. Deep Learning is based on brain simulations and uses deep neural networks. AlphaGo is the first AI system to defeat a professional human Go player, the first program to defeat a Go world champion, and arguably the strongest Go player in history. Baidu improved speech recognition from 89% to 99% using Deep Learning. Every AI and Machine learning scientist is required to know Deep Learning tools in his / her current job scenario.
In this session, we will be discussing what is Deep Learning and why it is gaining popularity. We will explain AI solutions using Deep Learning with a practical example. Deep Learning has an edge over other machine learning techniques as with the increased volume of data, performance increases with Deep Learning. Further, Deep Learning enables Hierarchical Feature Learning i.e. learning feature hierarchies.
With the ServiceNow’s new Kingston release, fans will not only get new functionality for a richer user experience but enjoy important strides in perhaps the most anticipated areas area of the day: machine learning and automation.Every release brings us more expansion across the ServiceNow Platform, and Kingston is no exception, adding new features and functionality including advances in the ServiceNow Platform, CSM, HR Service Delivery, ITOM, ITBM, Performance Analytics, Security Operations, GRC, and, of course, IT Service Management (including Software Asset Management). Taken in context, these new capabilities make a strong case that ServiceNow is setting itself up to act as the technology backbone for modern organizations (so keep an eye out for future platform plays!).
O machine learning está mudando a forma como organizações de todos os setores lidam com análises preditivas. Mesmo com toda a movimentação e jargões de mercado — machine learning, inteligência artificial, deep learning e modelagem estatística — é cada vez mais difícil separar o fato da ficção à medida que você avalia soluções de machine learning.
Em meio ao desafio de contratar e reter de talentos — cientistas de dados, engenheiros, analistas, profissionais de TI — torna-se um pesadelo decidir quem pode alavancar e implementar tecnologias de análises preditivas e adotar com sucesso o machine learning.
The future is here. We have entered a new era of analytics. Data volumes and complexity have exceeded the limits of current manual drag-and-drop solutions. Data is moving at the speed of business but speed-to-insight lags behind. It is time to adopt intelligent next generation, machine-powered analytics interacting with human context to retain your competitive edge.
Companies are spending more than ever on marketing. According to the Harvard Business Review, it is estimated that global spending on media is expected to reach $2.1 trillion by 2019. But is all that money effective in producing improved ROI? Without knowing which channels are driving sales, or more specifically, which individual marketing activities are working, marketing spending is a black box.
On this webinar, Data Scientist Colin Priest of DataRobot explains the importance of multichannel, multi-touch attribution to accurately measure the success of your marketing efforts – and how automated machine learning offers the shortest path to success.
2018 is the year for containers. IT teams are using them to bring new levels of cloud portability, infrastructure utilization, and micro-services to applications. There’s just one big catch: what about the data? How will you bring container-style automation, portability, and operations to enterprise applications and data? Attend this webinar and learn how to make it easy. HPE will share top use cases and show a demo of advanced data services with persistent storage for teams.
Within the federal sector, machine learning and artificial intelligence are treated like a distant possibility rather than an immediate reality. Considerable confusion exists about how the government can implement technology to automate predictive analytics and free data scientists to make educated decisions in real time, rather than crunch algorithms.
The objective of this webinar is to help educate the federal community about the realities, and real possibilities, data science can provide. See how agencies can start implementing machine learning for mission success.
Join Jenn Stirrup (Director, DataRelish), Gordon Tredgold (CEO & Founder, Leadership Principles LLC), Joanna Schloss (Data Expert) and Lyndsay Wise (Solution Director, Information Builders) as they discuss what it takes to take a business from needing analytics to leveraging analytics successfully.
There is no doubt about the impact of predictive analytics in any insurance company – large, medium, or small. The question that everyone is asking: how can we bring a sustainable, cost-effective, and consumer centric predictive analytics strategy within the organization? Machine Learning Automation is the answer to that question.
This 60 minute on-demand webinar provides an overview of predictive modeling, machine learning, and Artificial Intelligence (AI) in the insurance industry, offering insights into how these technologies will impact growth and profitability. You’ll also learn the three main aspects of a sustainable and cost-effective predictive analytics strategy in an insurance company:
In this webinar Manfred Berger introduces the latest addition to the HGST platform portfolio, the SVR2U24 NVMe all-flash storage server.
Combining high performance NVMe SSDs and Intel®’s Purley server architecture into one tried and tested unit, the SVR2U24 enables customers to come to market quickly with a multitude of software defined storage solutions or data base servers optimized for high speed search operations, catering to a multitude of industry verticals.
The dirty little secret? The General Data Protection Regulation (GDPR) does not just affect companies in the EU, it affects companies around the world that collect or process data concerning EU residents. Caringo Product Manager Glen Olsen and Solutions Architect Alex Oldfield explain the challenges organisations face and how Caringo Swarm Object Storage provides a cost-effective solution to help meet the requirements as well as how Data Protection Officers can use Swarm to monitor and enable GDPR compliance.
Although most of today’s enterprises are data-aware, this may not be sufficient to drive tangible business outcomes.
- Are your data-driven applications providing contextual and actionable insight?
- Are you deriving insights from all the enterprise data?
Embrace Forrester’s latest analytical framework for insights-driven businesses: Systems of Insight (SOI).
Join this session to discover the key principles that differentiate data-aware or data-driven businesses from their insights-driven peers and competitors. The session will explore the roles that data virtualization (aka Data Fabric) plays in modern SOI architectures, such as:
- A single virtual catalog / view on all enterprise data sources including data lakes.
- A more agile and flexible virtual enterprise data warehouse.
- A common semantic layer for business intelligence (BI) and analytical applications (aka BI Fabric).
If you’re tired of spending 30 minutes to answer simple questions using POS and syndicated data, learn how to leverage the latest advances in artificial intelligence to get targeted insights in seconds. Hint: Think Siri or Google search to get answers and insights from your own data.
Also, hear how one of the largest CPG companies in the world is finding new growth opportunities through augmented analytics.
A practical way to get started with IIoT in a brownfield factory is by creating a “Green Patch in your Brownfield.”
Everyone is talking about deploying IIoT in brownfields to achieve incremental gains in productivity. But in the greenfield, IIoT can deliver a game changer: to change your business model to mass customization through adaptive machines. Batch size of one. Deliver direct from the production line to consumers. Flatten your supply chain, your sales chain. No greenfield in your near future? To get started, get focused. For your next capex, put a 'focused factory' in your existing plant -- a 'green patch' in your brownfield. Learn from a pilot project the full potential of IIoT with today's state of the art automation technologies, not the legacy assets of the brownfield.
AI isn’t a nice-to-have any more, it’s a must-have. There’s a reason why corporate giants like Google, IBM, Yahoo, Intel, Apple, and Salesforce are competing to snatch up private AI companies. In the first quarter of 2017 alone, 37 AI companies were swallowed whole.
Companies aren’t just using these AI tools to enable existing marketing strategies; they’re taking those strategies to the next level, going beyond simple retention and delivering active engagement. AI technology offers companies unprecedented insight into customer behaviors, patterns, and beliefs, allowing you to seamlessly anticipate customer needs and serve up hyper-personalized, emotionally resonant campaigns where and when they’re most welcome.
2018 is the year to seize the AI advantage. To learn more about the technology you need, the opportunities it unlocks, and what it takes to get your ball in the game, don’t miss this VB Live event!
In this webinar, you'll learn:
* What’s new in AI for 2018 -- and what’s coming down the pike
* How businesses are using AI to drive results
* How to go beyond customer retention and power customer engagement
* Brian Gross, VP Digital Innovation, Aeromexico
* Dan Wulin, Director of Data Science, Wayfair
* Michael Healey, President, Yeoman Technology Group
* Rachael Brownell, Moderator, VentureBeat
For data scientists, predictive analytics is critical – but did you know it can also save lives? Crisis Text Line is using Periscope Data and Python to do just that – improving identification of data trends through natural language processing to better support people in crisis.
Join Periscope Data and Crisis Text Line Data Scientist, Scotty Huhn, for a webinar to learn more about powering predictive analytics with Python and Periscope Data. We’ll also share how, for the first time, Periscope Data is supporting SQL, Python, and R on one platform, enabling users to do more complex analysis in just a fraction of the time.
Oracle has announced new (and lackluster) support information for their Oracle Reports tool. This announcement reinforces the idea that Oracle Reports is end of life, and is driving many IT executives to explore new reporting alternatives.
One of the most popular Oracle Forms alternatives so far is JasperReports from TIBCO. More than 50% of attendees in one of our recent webinars indicated that they’re interested in JasperReports for their Oracle Forms migration projects.
Join us for this webinar with TIBCO Director of Solutions Consulting Sherman Wood. He will discuss what makes JasperReports an excellent reporting option for your Oracle Reports migration.
PITSS Director of Consulting Gavin Woods will also show off the latest in semi-automated Reports migration tools, the Reports Replacer Kit.
This webinar covers how to identify AD group owners for organizations. Our Director of Professional Services, Douglas Bayne, discussed how we figure out where ownership is missing, inaccurate or inconsistent, identifying all the different data sources that provides clues on ownership, how to catalogue probable ownership but also have a second or third option, where to keep track of ownership and report on future misconfigurations and a sneak peek into how to validate ownership.
This webinar covers how to identify Active Directory group owners for organizations. Join this interactive webinar with SPHERE Director of Professional Services, Douglas Bayne, as he discusses:
-How to figure out where ownership is missing, inaccurate or inconsistent
-How to identify all the different data sources that provide clues on ownership
-How to catalogue probable ownership but also have a second or third option
-Where to keep track of ownership and report on future misconfigurations
-A sneak peek into how to validate ownership
About the presenter:
As the Director of Professional Services for SPHERE Technology Solutions, Douglas Bayne oversees Project Managers and Security Engineers; ensuring that they provide a clear strategy for clients to address their data governance, security and compliance needs. Bayne brings over 20 years of experience in managing global infrastructure solutions, and has a proven track record of delivering multi-million dollar projects on-time and on-budget. Acting as a strategic business partner with clients, Bayne can bring innovative technology solutions to bear; with the on-going mission of meeting current and future needs.
Join Big Data Analytics expert Jen Underwood as she shares some of the best practices data-driven organizations use to select and deploy Big Data Analytics solutions.
In this interactive session, you’ll learn how:
*Better understand key analyst reports like the Gartner Magic Quadrant or the Forrester Wave
*Build a Business Case for BI-on-The-Data-Lake, based on analysts insights
*Create a Checklist to better select the software you truly need to succeed
Finally, Jen will give each registrant access to her latest “BI-on-The-Data-Lake” deployment guide, a must-read resource for you and your team.
Businesses are getting smarter by leveraging as much data as they can as fast as they can. To do this, they’re using artificial intelligence and machine learning techniques in order to automate decision-making and predict behavior. For example, payment processors are slashing fraud, online retailers are increasing purchase rates and financial services organizations are delighting their online customers. These enterprise industry applications have some common data architecture principles that can be adopted by virtually any industry to create smarter, more innovative businesses.
Join us in this webinar, where Matt Aslett, Research Director for Data Platforms and Analytics at 451 Research, together with Satish Iyer, Head of Product and Solutions Marketing at Aerospike, will review:
- The differences between Artificial Intelligence and Machine Learning
- The types of predictive behaviour, decision making, automation and efficiencies can be derived from AI/ML
- Customer case study, and why systems of engagement are the first, best application of AI/ML
In this webinar, Avere Systems and Google Cloud explore the ways in which alternative asset managers are leveraging technology to drive improved profitability data without large capital investments in infrastructure.
Today’s hedge fund managers are consistently analyzing greater volumes of data, with more speed, from a plethora of sources, with the end ambition of generating more alpha. Balancing the growing risks associated with proprietary data, compliance and regulatory restrictions, while supplying top-level performance is a dilemma facing IT managers everywhere.
In this webinar we will discuss:
– The trends driving increased demand for analytics in the alternative asset management sphere
– Considerations for leveraging the cloud for short-term backtesting workloads
– Practical tips for overcoming potential obstacles of latency, data movement, and lock-in
Data is growing fast, but your IT budgets are flat. See how you can save 70%+ of your Network Attached Storage (NAS), disaster recovery and backup costs with the Google Cloud Storage and Komprise. Learn how other customers are leveraging the cloud to transparently archive cold data, lower DR costs and shrink backups.
Join us to learn:
-How to analyze your current data management and storage costs
-How to assess the ROI of Google Cloud Storage in your environment
-How to transparently leverage GCS with your current storage - zero disruption
-How Komprise works
-How you can get started today
Fintech made significant headway in 2017 and will continue to re-shape the financial services industry (FSI) this year. For example, fintech developments involving big data, artificial intelligence (AI) and smart branches will play an important role in enhancing customer-centricity by enabling FSIs provide personalized and frictionless service. Many of these technologies will also come into play in regulatory reporting, data governance, data protection and cybersecurity, which are also important priorities for FSI companies.
Join us in a live BrightTalk webinar as we discuss how FSI companies can take a pragmatic approach to Fintech.
UPS has gone through a long evolution in moving up the analytical hierarchy, which required organizational commitment and significant process change. UPS has seen a reduction of 185 million miles driven per year by integrating analytics within its operations’ systems. Its award-winning dispatch optimization tool ORION (On Road Integrated Optimization and Navigation) completed deployment in 2016 and is saving $300M to $400M annually. In this webinar, Jack Levis will share his experiences and best practices to compete with analytics, requiring organizational support in the form of data, tools, and senior management commitment.
Our modern world depends on healthy, functioning, IoT devices. Unfortunately many of them are terribly insecure. Cyber attackers know this and have been aggressively compromising IoT devices for years. For the past two years, F5 Labs has been tracking cyber attackers as they hunt, infect, and build “Thingbots” - botnets made from IoT devices. This hunt has developed sizable thingbots like the infamous Mirai, and many others that have the capability to launch globally destructive attacks. These attacks can significantly impact modern life because of IoT’s presence within power systems, transportation systems, airport monitors, emergency warning systems, and security cameras. Join F5 and (ISC)2 on March 1, 2018 at 1:00PM Eastern for the 2nd Part of our three part Security Briefings series where we’ll explore the threat actors behind these attacks, the geographical targets of their attacks, how they are evolving their attack methods, and the types of devices impacted. We’ll include tips on how to start protecting yourself personally, and what you should be doing to protect your businesses.
Over 4,000 U.S. workers die on the job every year. While new wearable technologies are aggressively entering consumer applications, industrial safety equipment has not seen a fundamental innovation in the last decade.
Join us to learn how Guardhat CTO Anupam Sengupta and Guardhat use open source big data technology to address this issue with its “smart hard hat ecosystem”, an industrial wearable that uses IoT and wireless communications systems to protect and empower industrial workers.
In this webcast, Flavio will give an overview of the completely free, open source HPCC Systems big data platform.
Anupam will share how Guardhat leveraged this platform to:
• Allow real-time complex event processing of vast amounts of streaming data.
• Enable horizontal scaling on commodity hardware, with the flexibility to deploy both on premises and in the cloud.
• Support big data analytics including the ability to analyze, identify, and predict trends.
• Enable rapid green-field development
An interactive webinar featuring Actian Vector analytics database. Walt will provide a product overview and demo. Submit your question during the event for the live Q & A. Download the Evaluation Edition at https://www.actian.com/lp/try-vector/
Sterling Talent Solutions, the world's largest background screening provider performs over ten million background checks a year. This ultimately left the firm with millions of transactional events that need to be trove through to conduct analysis and insights into how their product and performance is delivering for customers. In the past, the team went through an expert reporting team where everything lived in Excel. With only a small group of data experts to service the business users, the results were a massive backlog and long waiting time for managers who needed answers.
To solve this challenge, Sterling turned to search-driven analytics which gave non-technical business users the ability to answer ad-hoc questions fast – helping reduce their BI backlog by 60%.
As identity theft and credential-based attacks continue to rise, organizations wonder how this can be when they’re investing so much time and effort deploying identity and access management solutions. Unfortunately, despite their best efforts, Identity has become the most consequential attack vector to the modern enterprise. They are essentially outmatched by increasing identity risks.
Le marché automobile subit des bouleversements rapides et sans précédent. Les acteurs les plus en pointe exploitent déjà des centaines de sources de données pour découvrir de nouvelles opportunités afin d’améliorer leurs offres et services, développer des modes de production plus collaboratifs, et cibler avec un haut niveau de précision et de personnalisation leurs marchés à hauts potentiels.
Lors de cette session découvrez comment :
•L’omnicanalité transforme radicalement l’expérience des conducteurs en créant de nouveaux usages (modes de consommation, expérience de conduite et divertissement, après-vente) ;
•La valorisation des données du Data Lake permet d’améliorer les processus entre tous les acteurs de l’écosystème automobile ;
•L’analyse prédictive des données Clients permet d’améliorer la pertinence des offres en tirant parti des événements et comportements attendus, ainsi que des réseaux d’influence.
Réinventer le secteur automobile
Informatica et NGDATA s’associent à travers une série de webinars pratiques pour permettre aux décideurs du secteur automobile de créer un impact significatif grâce à une meilleure gestion des données. Lors de ces sessions vous pourrez découvrir comment accélérer vos projets de transformation grâce à des démonstrations en direct.
Disruption from a few data behemoths and agile startups has forced the retail, CPG and eCommerce industries to innovate and retrain themselves to be data-driven. Join us as we look at two repeatable success stories about how Wish decided to use their data to close the data gap and give their customers an excellent mobile shopping experience.
Who Should Attend:
Retail, CPG and eCommerce executives, marketing operations, digital marketers, or data analysts who want to learn how a startup founded in 2011 beat Amazon to become the #1 shopping app on iOS and Android.
Viele sehen das so, denn es bedarf meist mehrerer Schichten teurer Hardware und Software sowie ein kontinuierliches Change-Management. Kein Wunder also, dass „DR-Test” nicht gerade das Lieblingsthema der IT-ler ist.
Die Cloud macht es einfacher, Disaster-Recovery zu planen und zu implementieren. Aber es braucht ein effizientes Datenmanagement, um tatsächlich DR-Zeit und -Kosten zu sparen. Die erfolgreiche Wiederherstellung von virtuellen Maschinen, Anwendungen und dem Geschäftsbetrieb ganz allgemein erfordert, dass Daten effizient in die Cloud verlagert und dort auch effizient verwaltet werden können.
Investieren Sie 45 Minuten und lernen Sie in diesem Webinar, wie Sie…
* für diverse Typen an Daten, VMs und Anwendungen die richtige Strategie der Wiederherstellung wählen
* durch eine einheitliche Oberfläche und Plattform für alle Belange rund um die Datensicherung die Komplexität der Disaster-Recovery verringern
* Risiken minimieren mithilfe von integrierten Benachrichtigungen, Kontrollen und Berichten zu Ihren SLAs
* menschliche Fehler und manuelle Eingriffe reduzieren, indem komplexe und ungewöhnliche DR-Szenarien entwickelt werden
* DR-relevante Aktionen wie z.B. DR-Tests oder (un-)geplante Ausfallsicherungen optimieren
Wie zeigen Ihnen, wie Commvault Sie professionell unterstützt, Ihre Daten in der Cloud für Backup, Disaster-Recovery und vieles mehr zu nutzen.
Join us live on Wednesday, March 7th at 10:00 am for a 45-minute FREE webinar& demo to discover how SAP Learning Hub gives unlimited access to all of SAP’s learning content and certification paths, as well as opportunities for collaboration, social learning and access to live systems in which to practice. SAP Education and the BELUX SAP User Group have collaborated to offer SAP customers a significant discount on an SAP Learning Hub subscription.
Caroline Kinsman is an experienced senior education architect who has worked within the field of SAP Education Solutions for over seventeen years. Responsible for designing and delivering successful education programmes for ERP system implementations at both national and multinational organisations. A qualified Chartered Accountant and fluent in three languages Caroline is able to bring her considerable wealth of business experience to a range of stakeholders and sponsors at many levels within an organisation. With twenty years of experience in project team training and consulting, she is able to engage on multiple levels from the strategic to the practical within a project environment. Caroline's experience covers a multitude of sectors including pharmaceutical, public sector, financial services, utilities, oil and gas, consumer goods and automotive. Specialties: A holistic education approach from cradle to grave; detailed knowledge of Project Team Training and SAP Learning Hub.