Neha Sardana
Vice President, Morgan Stanley
Secaucus, New Jersey, United States
Actions
Neha Sardana is a Software Developer for Java based applications for over a decade.
She is currently Vice President at Morgan Stanley and JUG (Java User Group) Leader for Garden State JUG, New Jersey and NYJavaSIG, New York. She has worked in financial services for almost 10 years in both Europe and the US.
She is a technologist and an OSS enthusiast and loves to talk and blog about all things open source.
Links
Area of Expertise
Topics
Learn the finest features of Java from Java 11 to Java 21
Are you planning to switch to Java 21 or you are still working on kinks to figure out how to migrate to Java 17? Sometimes we know the features of a newer version but we don't exactly know how to use them in day to day.
We will explore the best features from Java 11 up until 21 and beyond. Discover how Java 11, Java 17, and Java 21 redefine the boundaries of what is possible in modern programming.
This session is going to have live coding session as well as plenty of code samples to enrich you with proper understanding of the new features of java programming language.
The Art of Securing Cloud: Best Practices for a Secure Cloud Environment
Cloud computing has revolutionized the way businesses operate and has become an integral part of their digital transformation journey. However, with the benefits of cloud computing come new challenges and risks that must be addressed to ensure the security of digital assets. Cloud security breaches can result in data loss, reputational damage, and financial loss. Therefore, it is essential to implement cloud security best practices to safeguard your digital assets. We will discuss the best practices for securing your cloud environment. The session will cover key areas that organizations need to focus on to ensure cloud security, including access control, network security, data encryption, incident management, and compliance. We'll also discuss the latest security technologies and tools that can be used to enhance cloud security. Attendees will leave with a comprehensive understanding of the best practices for securing their cloud environment, enabling them to implement practical and effective security measures to protect their digital assets.
Comparing Spark, Flink, Storm, and Kafka: Choosing the Right Tool for Your Data Pipelines
In the era of big data, organizations are constantly challenged to process and analyze vast amounts of data in real time. The choice of the right big data framework is critical for building efficient, scalable, and resilient data pipelines. Among the most prominent frameworks are Apache Spark, Apache Flink, Apache Storm, and Apache Kafka, each offering unique strengths tailored to different use cases.
This talk will provide an in-depth comparative analysis of these four leading big data frameworks. We will explore their architectural differences, performance characteristics, and suitability for various data processing tasks such as batch processing, stream processing, and complex event processing. Through practical examples and benchmarks, we will examine how each framework handles real-time data ingestion, transformation, and analysis, and discuss the trade-offs involved in choosing one over the others.
Attendees will gain insights into:
The core features and capabilities of Spark, Flink, Storm, and Kafka.
How to evaluate and select the appropriate framework based on specific project requirements.
Real-world scenarios where each framework excels or faces limitations.
Best practices for integrating these frameworks into a cohesive big data architecture.
Whether you're a data engineer, architect, or decision-maker, this session will equip you with the knowledge to make informed decisions about which big data framework is best suited for your organization's needs.
Neha Sardana
Vice President, Morgan Stanley
Secaucus, New Jersey, United States
Links
Actions
Please note that Sessionize is not responsible for the accuracy or validity of the data provided by speakers. If you suspect this profile to be fake or spam, please let us know.
Jump to top