Real-time data processing architecture patterns using Apache Ignite
Details
In this session, learn about the multidimensional data problems faced by enterprises today and how to tackle them by building high-performance cloud-native applications written in JVM languages such as Java, Kotlin, Scala, etc. These applications combine real-time processing of event streams and data in motion and at rest with powerful distributed computing capabilities.
About the speaker: Rajiv Shah is a seasoned enterprise architect with over 25 years of experience in architecting, designing, and developing high-performance applications for banking (trading platforms, risk analysis, algorithmic options/hedging strategies, etc.), airline, and e-commerce industries. He is still very hands-on and actively codes in Java, Scala, Python, and Spark. He works with machine learning, databases, big data, streaming (Kafka, Solace, others), containerization, and cloud technologies. He has 25+ IT certifications (including 7 Java certificates from the Oracle Corporation) and was also invited to prepare the test materials for the Oracle Certified Enterprise Architect examination.
Sponsor/Host: Envestnet, Inc., is the country's leading software platform for financial advice through technology, solutions and intelligence, it has 2 business segments – Envestnet Wealth and Envestnet Data & Analytics.
Envestnet Wealth Solution's platform together are capable of processing more than 5 million trades/day and are written in JAVA or other advanced languages and are hosted by public cloud providers. The Wealth segment provides unified wealth management software and services, including Envestnet Enterprise, Envestnet Tamarac, Envestnet MoneyGuide, Envestnet Retirement Solutions (ERS & 401kplans.com), Envestnet PMC or Portfolio Management Consultants and Envestnet Redi2. Envestnet's Data & Analytics segment offers data aggregation, intelligence, and experiences platform. It enables consumers to aggregate sets of consumer permissioned data for use in various financial applications. All platforms described above are available for developers via a rich set of Application Programming Interfaces (APIs).
Envestnet seeks to employ sharp, innovative, collaborative Java and C# Engineers and Architects. Refer to Envestnet's portal for openings and opportunities.
Real-time data processing architecture patterns using Apache Ignite