Shivali Naik
Data and Technology Enthusiast
San Francisco, California, United States
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I'm Shivali Naik, a Solutions Architect with a passion for data engineering and cloud tech. With over two years of experience, I love tackling tough problems and optimizing data workflows to help businesses thrive. I’m a lifelong learner, always sharing insights on tech blogs and looking for new challenges to collaborate on. Let’s unlock the power of data together!
Area of Expertise
Topics
Building a Unified Data Platform with Apache Iceberg and Snowflake
Abstract:
Explore how Snowflake and Apache Iceberg complement each other to create a unified data architecture that combines the flexibility of open formats with Snowflake’s analytics power.
Key Points:
The Snowflake Data Cloud makes it easy to execute big data workloads using numerous file formats, including Parquet, Avro, ORC, JSON, and XML. While Snowflake’s internal, fully managed table format greatly simplify the storage maintenance like encryption, transactional consistency, versioning, fail-safe, and time travel, , some organizations with regulatory or other constraints either are not able to store all of their data in Snowflake or prefer to store data externally in open formats. Apache Iceberg is currently supported in public preview by the Snowflake Data Cloud with Iceberg Tables. Iceberg Tables combine the performance and familiar query semantics of Snowflake tables with customer-managed cloud storage.
Loading Iceberg tables into Snowflake.
Using Snowflake’s Data Cloud for Iceberg-managed datasets.
Scenarios where this combination outperforms standalone solutions.
Snowpark for Data Engineering
Data engineering in the cloud demands scalability, flexibility, and real-time processing capabilities. Snowpark, a framework within the Snowflake ecosystem, empowers data engineers to efficiently build, scale, and manage data pipelines using popular programming languages such as Python, Java, and Scala. Snowpark's unique features, including its ability to push computation to Snowflake's engine, seamless integration with machine learning workflows, and its role in enabling real-time analytics. Benchmark comparisons, use cases, and analyses of cost-efficiency illustrate how Snowpark redefines data engineering in cloud-native ecosystems.
Snowpark Container Services: Unlocking Snowflake with Kubernetes Power
Discover how Snowpark Container Services (SPCS) brings Kubernetes-style flexibility to Snowflake! Dive into how SPCS lets you run containerized workloads directly within Snowflake’s secure and scalable environment—no data movement required. From advanced data transformations to machine learning and seamless third-party integrations, this serverless solution empowers developers to bring their favorite tools (Python, Java, Scala) into their data pipelines. Learn how SPCS integrates with popular container registries, scales with your needs, and enables real-time monitoring—all while keeping it fun, efficient, and secure. Let’s revolutionize your data workflows at KubeCon! 🚀
Snowflake for Data Engineering Bootcamp
Ready to dive into the world of Snowflake? Whether you're a data engineering newbie or a pro, this fun, presentation-based bootcamp is packed with everything you need to know about building scalable data pipelines and leveraging Snowflake for cloud-native data workflows!
What You’ll Learn:
Snowflake Basics: Get the lowdown on Snowflake’s cloud architecture and why it’s perfect for modern data engineering.
ETL/ELT Pipelines: Learn how to design and optimize data pipelines without breaking a sweat!
Snowpark Power: See how to use Python, Scala, and Java to build data apps directly in Snowflake.
Optimization Tips: Master the art of keeping things fast and cost-effective.
Security & Governance: Discover how to keep your data safe and compliant.
Who’s This For?
Data Newbies: Learn Snowflake from the ground up!
Cloud Lovers: Get the inside scoop on cloud-native data magic.
Pros: Level up your Snowflake game.
A fun, interactive session and make your data shine with Snowflake!
Shivali Naik
Data and Technology Enthusiast
San Francisco, California, United States
Actions
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