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Cindy Ng
Sr. Manager, Content, Starburst
Cindy Ng writes about what new data management and analytics strategies mean for both large enterprises and startups. Prior to Starburst, she's written and spoken about ransomware, insider threats, data security, data compliance standards, algorithmic audits, and data ethics.
Showing 12 of 26 results
Starburst named a leader in 2024 GigaOm Radar for Data Lakes and Lakehouses
February 21, 2024
We are excited to announce that GigaOm has recognized Starburst as an Outperforming Leader for the second consecutive year in the 2024 GigaOm Radar...
What’s the difference between Iceberg vs Delta Lake?
January 15, 2024
Apache Iceberg and Delta lake are both members of a new generation of data lakehouse technologies built to drive data warehouse functionality and performance...
2024 Data and AI Executive Survey and the European Union AI Act
January 4, 2024
The annual Data and AI Leadership Executive Survey is here and it offers important insights into the evolving roles and challenges of Chief Data...
The difference between a data mesh and data warehouse
December 1, 2023
Let’s understand the distinctions between a data mesh and data warehouse, and how Starburst can help. Data mesh vs data warehouse Data Mesh is a decentralized, distributed approach...
The difference between a data mesh and data lake
December 1, 2023
In this post, we discuss how data mesh shifts the focus from a centralized data lake to a distributed data architecture, emphasizing data products. Centralized architecture vs. Decentralization Data...
Artificial intelligence life cycle
November 2, 2023
Organizations today are using artificial intelligence and machine learning to answer complex business questions. They often follow an artificial intelligence development life cycle to...
Why wait for sequential processing when parallel is faster?
November 1, 2023
This guide will explain sequential and parallel processing, their differences, and why processing enterprise data depends on parallelization. What is sequential processing? Sequential processing...
Combining AWS services with Apache Iceberg tables lets companies build powerful, cost-effective data lakes
October 1, 2023
Why choose AWS for data lakes and analytics? In many respects, AWS is a one-stop-shop for building an enterprise-class big data analytics architecture. Companies...
The difference between a data lake and data warehouse
June 1, 2023
In this post, we discuss the difference between a data lake and data warehouse and how Starburst helps with both. Data lake vs data warehouse Data warehouses marked an...
The difference between Hudi and Iceberg
May 1, 2023
These open table formats address the issues companies increasingly experience with their legacy platforms running Hadoop and Hive. This article will discuss the differences...
The difference between SEMMA and CRISP-DM
April 1, 2023
SEMMA means: Sample, explore, modify, model, assess. CRISP-DM means: Cross-industry standard process for data mining. SEMMA and CRISP-DM are both process models used in...
How data engineering fails
February 11, 2023
Benn Stancil, in his Datanova talk, How data engineering fails, delves into the potential pitfalls that data engineering might face. Drawing inspiration from a...
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