Webinars

Webinars

  • Unlocking Business Potential with Cloud-Native Application Modernization

    The Global Cloud-native Application Protection Platform (CNAPP) Market size is expected to reach $21.2 billion by 2028, rising at a market growth of 18.6% CAGR. Adopting cloud-native architectures can significantly reduce IT costs, improve operational efficiency, and increase development speed and agility—although, they also introduce security risks, such as vulnerabilities in containers, microservices, and APIs. Implementing the proper security measures in this context requires a cloud-native security approach, in which solutions are purpose-built for cloud environments and can leverage automation and machine learning to detect and respond to security threats in real-time. Watch this exclusive Fireside Chat with experts from Cisco and BrightTALK to discover the key to unlocking cloud-native application modernization in today’s sprawling environments, alongside a discussion on how to formulate a cloud-native app security protection plan. Read More

  • A Threat Centric Approach to Cybersecurity

    What we are hearing from CISOs, Nick Lantuh, Co-founder & CEO of Interpres Security explains, is that cybersecurity has become too costly, complicated, siloed, and requires significant manual engineering to succeed using current methods. These issues dovetail with the competing objectives to secure your organization from large-scale attacks, while simultaneously optimizing costs in today’s budget constrained environment. A threat-centric cybersecurity approach holds the key to resolving many of these issues, in which defense surface management is key. Tune in as Lantuh and an ESG analyst deconstruct this topic in the following Fireside Chat. Additional agenda topics include: • Why defense surface management is needed in today’s security environments • Defense Surface Management concept and origins • Steps organizations can take to validate their security strategies • How continuous monitoring improves the security posture Read More

  • Building Invincible Applications with Temporal & Astra DB

    DataStax and Temporal are on a mission to help developers build durable, resilient apps that never fail, no matter how fast they scale or how demanding the business. But building reliable apps can be complex, creating obstacles and delays for developers working under intense pressure. Temporal and DataStax are delivering a new programming model for developers: cloud-native, invincible apps, without the burden of complexity, helping you focus on what you do best: building great software, fast. Join us and hear: - Temporal’s durable execution paradigm provides extreme reliability, and makes it trivial or unnecessary to implement distributed systems patterns like event-driven architecture, task queues, sagas, circuit breakers, and transactional outboxes. - DataStax’s Astra platform provides the tools to build out real-time systems. - Temporal and DataStax together provide a robust platform on which to build scalable, fault-tolerant applications. We’ll also explore why Temporal chose Cassandra as the highly-reliable, scalable database for their own platform. And how this combination can deliver invincible apps for your business as well. Read More

  • Modern integration architecture: A new approach to unlock organizational agility

    As organizations continue to evolve and innovate, the need for agile integration solutions becomes increasingly important. In this webinar, Digibee’s CTO and Co-founder, Peter Kreslins, and Head of Market Strategy, Matt Durham, will share insights on modern integration architecture and its role in driving organizational agility. Attendees will learn about the five key principles of modern integration architecture: decentralization, empowerment and enablement, low code, ecosystem-driven, and continuous activity. The session will also cover the importance of democratizing technology and empowering citizen developers while maintaining governance and guardrails. To wrap up the conversation, Digibee leadership will delve into how an integration platform as a service (iPaaS) can help organizations achieve modern integration architecture and improve their agility. Read More

  • Navigating modern cloud architectures in 2023

    In today's fast-paced business environment, cloud computing has become a critical component for many organizations. As companies embrace the cloud, it's important to understand the various cloud architecture frameworks available and choose the one that best fits your business needs. Using the right cloud architecture framework can help you achieve greater scalability, reliability, security, and cost-effectiveness. The public cloud offers so many services and features that it can be overwhelming to navigate. From microservices and event-driven architecture to serverless, containers, and modern compute, choosing the best tools for your needs is by no means easy. In this session, join Marius Zaharia (Cloud Solutions Architect & Principal Engineer at Societe Generale) to get insights into the Modern Architecture and explore the factors you should consider when deciding what cloud architecture framework is best for your business needs. Topics for discussion include: - The fundamentals of Modern Architecture and how it can help you make sense of the modern cloud landscape. - How to evaluate and choose the best approach for your needs, from microservices to serverless to containers and beyond. - Best practices for designing and implementing cloud architecture. Read More

  • Unlocking the value of data mesh with Data Architecture as a Service

    Data architecture-as-a-service or DAaaS is a new self-service paradigm that is ideal for data meshes. It empowers local data owners to create architecturally compliant data repositories, domains, and pipelines without IT assistance. It is the culmination of self-service, where business units liberate themselves almost entirely from enterprise IT. If done right, DaaS eliminates data silos, reduces data bottlenecks, eases the burden on enterprise data teams, and empowers local domains to service their own data needs. It’s also a key ingredient in the data mesh, an emerging distributed architecture for data ownership and management. Data architecture-as-a-service is a verbal twist on cloud processing environments, such as software-as-a-service or platform-as-a-service. This moniker conveys that it’s possible to abstract architecture and build it into easy-to-use, customer-facing tools. When we abstract data architecture, we solve the most enduring data pain point in the data world: the proliferation of data silos and pipelines that wreak havoc on data consistency and trustworthiness. You will learn: • What DAaaS is • Why DAaaS is critical for governed self-service • How DAaaS prevents data silos and empowers data domains About the speaker: Wayne Eckerson is an international thought leader in data and analytics who thinks critically, writes clearly, and presents persuasively about complex topics. He is a best-selling author, sought-after consultant, and noted speaker. Eckerson has advised a range of companies about how to implement data and analytics programs, architectures, and infrastructure, including Walmart, New Balance, and Children’s Hospital of Philadelphia. Eckerson is President of Eckerson Group, a consulting and research firm that helps organizations get more value from their data. He has degrees from Williams College and Wesleyan University. Read More

  • Anti-patterns of data architectures

    Data architecture provides a blueprint for how an organizations can collect, store, manage, and utilize their data to meet business objectives. It defines the rules, standards, and guidelines for managing data as a valuable organizational asset and supports the integration of data from disparate sources into a coherent and usable whole. Anti-patterns of data architectures refer to common mistakes and pitfalls that data architects may encounter while designing and implementing data solutions. These anti-patterns can lead to suboptimal performance, data inconsistencies, and high maintenance costs. For example, over-normalization, complex data models among other specific characteristics. This webinar from data industry thought leader Dr. Pragyansmita Nayak will identify and analyze the most prevalent anti-patterns in data architectures, along with their root causes and potential solutions. By understanding these anti-patterns, data architects can systematically avoid them and design more effective and efficient data solutions while continuing to meet the needs of their organizations. Speaker bio: Dr. Pragyansmita Nayak is the Chief Data Scientist at Hitachi Vantara Federal (HVF). She explores the "Art to the Science" of solution architectures orchestrating data, APIs, algorithms and applications. She has over 24+ years of experience in software development and data science (Analytics, Machine Learning and Deep Learning). She has led projects for several Federal Government agencies (DoD/Civilian) in the domain of Federal Accounting, Operational Analytics, Data Fabric, Object Storage, Metadata management, Records Management and Data Governance. She holds a Ph.D. in Computational Sciences and Informatics from GMU (Fairfax, VA) and Bachelors of Science in Computer Science. For more information on Pragyan's professional experience, please visit her LinkedIn profile at https://www.linkedin.com/in/pragyansmita and Twitter profile at https://twitter.com/SorishaPragyan. Read More

  • Accelerating Time to Value with Snowflake

    Many businesses are looking to gain more impactful insights out of their data. Snowflake is a modern data analytics platform many businesses use to help gain those insights. However, going from the starting point of knowing what you want your data to provide to actually extracting valuable business insights is challenging. Whether you’re trying to figure out how to collect all of your disparate data from various sources or you’re struggling to analyze your data effectively - it’s hard work. It takes a ton of time, resources, and expertise to create and build the infrastructure required to collect the data and analyze it effectively. Luckily, Growth Acceleration Partners (GAP) can help overcome those challenges. GAP has a team with the knowledge, expertise, and experience to help your business get what you want out of your data using Snowflake and AWS. Learn how GAP can help any company accelerate their timeline and get to valuable data insights faster. What you’ll get out of this webinar: - A detailed understanding of what it takes to build the infrastructure required for a modern data analytics platform with Snowflake and AWS - A better understanding of why Snowflake is the right choice for your data platform needs - An overview of how the GAPAccelerator helps you get value out of your data faster - Technical details of how the infrastructure is built and what goes into - Description of how the experts at GAP can work with your team to provide continuous data analysis after implementation Read More

  • Data Platform Capabilities for Modern Data Management Architectures

    Data management methods are evolving quickly, as enterprises invest in gaining data agility to accelerate insightful decision-making. Modern data management is being driven by an accelerated shift to data in the cloud and the subsequent innovation in data technologies and advanced analytics. Enterprises are recognizing new opportunities to derive value from their data and to save time and money, and they’re taking a fresh look at new data management approaches to reap the rewards of smarter and accelerated decision-making. In response to this demand for more modern data treatments, a confusing array of architectures, technologies, and approaches has sprung up – and it’s not easy to tell which ones will truly deliver better business outcomes and which ones are just hype. Should you invest in graph technology and metadata management? What exactly is a data fabric? How can you leverage the power of AI and machine learning? This session will take a look at trends in data management that are worth investigating, and explain how a modern data platform can help you implement them in a way that delivers business value for your enterprise. Read More

  • Real-time, Scalable Applications Powered by a Modern Data Platform

    When organizations build new applications and services, they often need scalable and lightning-fast data management platforms to support their innovations. What does it take to support new, innovative applications? Register for this tech talk to hear from Fern Halper, VP of Research at TDWI Research, who specializes in advanced analytics, along with representatives from Redis and Ekata, a Mastercard company, as they discuss one such use case: supporting Ekata’s smart identity verification solution to detect fraud. Presented by: • Henry Tam, Principal Solutions Marketing Manager | Redis • Fern Halper, Ph.D., VP Research | TDWI • Milena Babayev, Product Marketing Manager | Ekata • Jason Frazier, Software Engineering Manager |Ekata Read More