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  1. Blog
  2. Giulia Lanzafame
Giulia Lanzafame

Giulia Lanzafame

5 posts

Giulia Lanzafame
4 September 2025

Implement an enterprise-ready data lakehouse architecture with Spark and Kyuubi 

Data Platform Article

Here at Canonical we are excited to announce that we have shipped the first release of our solution for enterprise-ready data lakehouses, built on the combination of Apache Spark and Apache Kyuubi. Using our Charmed Apache Kyuubi in integration with Spark, you can deliver a robust, production-level, and open source data lakehouse . Our Ap ...

Giulia Lanzafame
26 June 2025

Accelerating data science with Apache Spark and GPUs

Data Platform Article

Apache Spark has always been very well known for distributing computation among multiple nodes using the assistance of partitions, and CPU cores have always performed processing within a single partition.  What’s less widely known is that it is possible to accelerate Spark with GPUs. Harnessing this power in the right situation brings imm ...

Giulia Lanzafame
10 June 2025

Apache Spark security: start with a solid foundation

Data Platform Article

Everyone agrees security matters – yet when it comes to big data analytics with Apache Spark, it’s not just another checkbox. Spark’s open source Java architecture introduces special security concerns that, if neglected, can quietly reveal sensitive information and interrupt vital functions. Unlike standard software, Spark design permits ...

Giulia Lanzafame
10 December 2024

Spark or Hadoop: the best choice for big data teams?

Data Platform Article

I always find the Olympics to be an unusual experience. I’m hardly an athletics fanatic, yet I can’t help but get swept up in the spirit of the competition. When the Olympics took place in Paris last summer, I suddenly began rooting for my country in sports I barely knew existed. I would spend random ...

Giulia Lanzafame
3 October 2024

What is a vector database?

Data Platform Article

A vector database is a data storage system that organises information in the form of vectors, which are mathematical representations. These databases are designed to store, index, and query vector embeddings or numerical representations of unstructured data, including text documents, multimedia content, audio, geospatial coordinates, tabl ...