Webinars

Webinars

  • Data-driven success: How modern data architecture unleashes business value

    In today’s rapidly evolving business landscape data plays a critical role. Modern data architecture provides the tools and practices to harness the power of data and turn it into strategic advantage.  Whether it is data lakehouse, data fabric, data mesh or cloud data governance modern data architecture is enabling business leaders to make better decisions, quicker.   In this talk, Rajeev Pai, Director of Technology Strategy & Transformation at Deloitte, will explore what does modern data architecture entail and how it can be used to unlock business value.   Key takeaways:  - The need for newer ways for bringing, processing and distributing data in the enterprise. - Leading patterns and practices organizations are adopting in this journey with examples. - Challenges organizations may face when adopting some of these new approaches. - And how to overcome those challenges. Whether you are a business leader looking to drive growth and innovation or a data professional seeking to help your business this talk will provide valuable insights from frontline and research. About the speaker: Rajeev is a leader in the space of Technology Consulting & Transformation with over 20 years of experience across the globe in the financial services industry, helping business leaders navigate change. He combines deep domain expertise in Capital Markets F2B Processes and Banking to provide thought leadership and tailored advise while challenging business leaders to achieve their vision. He is experienced in large scale System Integration, Platform Re-engineering, Enterprise Architecture, Enterprise Data Management (Data Strategy, Architecture and Management), Analytics & Data Visualisation, Operating Model constructs, Design Thinking, and has strong familiarity with Emerging Tech. He is a certified in Business Sustainability Management from the Cambridge Institute of Sustainability Leadership(CISL). Read More

  • Data Lineage & Knowledge Graphs: Similarities and Differences

    Data lineage and knowledge graphs are data management capabilities that many companies would like to or have implemented. These capabilities assist in getting value from data and sustaining competitive advantage. However, several challenges with the implementation of these capabilities exist: - Data management professionals have different views on these capabilities. Their definitions are not aligned within the data management community. These capabilities have a lot in common. - The implementation of these capabilities is time- and resource-consuming. The correctly defined scope is one of the implementation success factors. - Many companies still document data lineage and knowledge graphs manually in Excel. - Plenty of various automated solutions exist. However, finding a proper solution is problematic as providers don’t have an aligned terminology to describe functionality. Often, quite differently labeled solutions deliver similar functionality. In this session, we will discuss how to solve challenges and: 1. Demonstrate a metamodel of data lineage and knowledge graphs. 2. Show differences and similarities of these capabilities in terms of business drivers, architecture, and use cases. 3. Provide an overview and comparison of various data lineage and knowledge graphs IT tools. About the speaker Dr. Irina Steenbeek is a data management practitioner with more than 12 years of experience. The key areas of her professional expertise are the data management maturity assessment, implementation of data management frameworks, and data lineage. Irina has practical experience in software implementation such as ERP and DWH/BI, management consultation, financial and business controls, and data science. Social links: 1. https://datacrossroads.nl/ 2. www.linkedin.com/in/irina-steenbeek Read More

  • Choosing the right data platform for your business

    As businesses strive to make data-driven decisions, choosing the right data platform has become a critical component in today's data-driven world. However, with a plethora of options available, it can be overwhelming to identify the best fit for your business. This webinar offers a comprehensive guide to the most popular data platforms, helping businesses evaluate critical factors such as data processing speed, scalability, cost-effectiveness, security, and integration capabilities to determine the ideal platform. Participants will gain insight into the advantages and limitations of both cloud-based and on-premise data platforms, and how different modern data platforms can support various business needs and objectives, such as data analytics, machine learning, and big data processing. By the end of this webinar, participants will have a clear understanding of which modern data platform is the best fit for their business context and objectives. Key Takeaways: 1. Understand the strengths and weaknesses of the most popular data platforms available in the market today. 2. Learn how to evaluate crucial factors, such as data processing speed, scalability, cost-effectiveness, security, and integration capabilities while selecting a data platform for your business. 3. Recognize how different data platforms can support diverse business needs and objectives, including data analytics, machine learning, and big data processing. 4. Identify the advantages and challenges of cloud-based and on-premise data platforms and guidance on how to choose between them. About the speaker: Gopinath Manimayan is lead architect of digital experience at Moonraft Innovation Labs, he has over 15+ years of experience crafting exemplary technology solutions. You can always count on him for guidance with the best architecture to suit any need, or for learning about the latest technologies in the market. Read More

  • FAIR data: Superior data visibility and reuse without warehousing

    The problem with data warehousing and lakehousing is that they don’t go far enough. They don’t attack the root input problem: dumb, increasingly siloed and duplicative data and stranded, duplicated logic. It’s the proverbial garbage in, garbage out scenario, unless companies allocate their entire innovation budgets to integration. More and more apps create the need for more and more reinvent-the-wheel integration, because each app has its own repository and its own data model. This is one reason why big banks have more than 10,000 databases each. More and more apps with their own repositories is one reason we could be in the Yottabyte Era by 2030. If the world has to store two yottabytes of data per year, 40% of the economy could be dedicated to just storing data–90% of which is duplicated data that’s hard to reuse. For their part, applications duplicate the core description and predicate logic that should live with the data, where it can be shared and reused repeatedly within a knowledge graph. A better, data-centric approach puts data and data models first. A FAIR data approach -- smarter data that’s designed to be findable, accessible, interoperable, and reusable–addresses the integration problem up front. No more garbage in, so no more garbage out. Data becomes self-describing with the help of the logic that used to be trapped in applications. This talk will examine how organizations in various industries use semantic knowledge graphs to solve their data integration and analytics problems at a fraction of the cost of data warehousing or lakehousing. It’s an organic approach to data and logic that can eliminate growing amounts of waste and complexity. Companies can run these systems at low cost in parallel with their legacy environments until they commit to graph data model-driven development, which is when even more substantial benefits will accrue. Read More

  • Building an Open Data Lake House Using Trino and Apache Iceberg

    As companies build their data analytics practice, they quickly outgrow running analytics off their operational store that powers their applications. Building a read replica only buys them time until they hit scalability limits with their growing internal and customer demand. This is where one hits the crossroads of going all in with a cloud data warehouse or choosing an open data lake house approach to future-proof them for scale, performance, and cost efficiency. In this workshop, Matt Fuller and Tom Nats lead you through how you can easily build and manage an open data lake house architecture using open-source technologies such as Trino and Apache Iceberg to support your growing analytics. Trino is an open source highly parallel and distributed query engine built from the ground up at Facebook for efficient, low-latency analytics. Iceberg is an open source, high performant table storage format that enables an engine like Trino to perform data warehousing SQL functionality such as UPDATE, DELETE, and MERGE commands on the data lake house. In addition, Matt and Tom will lead you through combing these technologies to perform near real-time analytics with streaming ingestion with database functionality on the lakehouse. This workshop will use the Starburst Galaxy SaaS product making it simple to leverage these technologies for your modern data lake house without having to worry about the operational aspects of running Trino and other software. Read More

  • Embedded Analytics: Architecture and Experience

    Embedded analytics has become a vital aspect of business intelligence, enabling organizations to gain insights from their data at the point of decision, in their operational applications. This webinar will explore the architecture and experience of embedded analytics, showcasing how it can be effectively implemented to drive informed decision-making and enhance user experiences. Join us to learn about the various components, best practices, and real-world applications of embedded analytics in modern data architectures. With this webinar, you will: - Understand the role of embedded analytics in the context of decision intelligence. - Gain insights into the architecture of embedded analytics, including its components, scalability, performance and security. - Explore best practices for designing effective embedded experiences. - Discover real-world applications and use cases of embedded analytics across various industries. - Stay informed on future trends and opportunities in the embedded analytics space including natural language. Read More

  • Optimize the implementation of PCI-DSS v4.0 on endpoint security

    PCI Data Security Standard is a global standard for protecting account data. The latest version PCI-DSS v4.0 was finalized last year. This new standard impacts on every organization and company in the world that accepts debit or credit card payment. In this presentation, industry thought leader Ralph Villanueva will leverage his knowledge and expertise in the PCI-DSS standards to discuss its impact on the enterprise endpoints, and provide recommendations on how to use this framework to optimize endpoint security. Read More

  • Beyond antivirus: Endpoint security strategies to combat sophisticated threats

    Endpoint security is critical to protecting your organization from cyber threats, but traditional antivirus solutions are no longer enough. Cyber criminals are using sophisticated techniques that can evade detection by antivirus software. This session will explore endpoint security strategies beyond antivirus that can help your organization combat sophisticated threats. We will cover a range of strategies, including: - Behavioral analysis: Identifying and blocking malicious behavior on endpoints. - Application control: Restricting access to certain applications on endpoints to prevent attacks. - Network segmentation: Isolating endpoints from the rest of the network to limit the spread of attacks. - Threat intelligence: Leveraging external threat intelligence to identify and block known threats. Attendees will learn the importance of endpoint detection and response (EDR) solutions, which can provide real-time visibility into endpoint activity and help detect and respond to threats quickly. By attending this session, viewers will gain a better understanding of the limitations of traditional antivirus solutions and learn about alternative strategies to protect your endpoints from sophisticated threats. You will also learn about the benefits of EDR solutions and how they can improve your organization's overall security posture. Read More

  • Implement best practice IAM and zero trust

    Tune into this session, presented by Boleaum Inc.'s Vincent Amanyi, to learn how to implement a best practice identity access management (IAM) framework that is aligned with your zero trust policies. Attendees will learn how to: - Identify what matters in your enterprise environment. - Develop a strategy with a realistic budget. - Partner vendor's with the right solutions to your environment. Read More

  • Creating threat analytics on the endpoint

    Security teams are at now loss for telemetry from their devices -- the struggle is to make sense of it all. Many breaches occur not because detection didn’t work, but because the noise was so loud that the breach got missed until it is too late. This talk, presented by cybersecurity expert John Bambenek will cover how to engineer the right data sources from end points to not only build detection models, but to enhance and prioritize events to identify chains of behaviors that will lead to breaches if unaddressed. Read More