Tag: analytics

Episode 58 Shownotes Welcome to another episode of the Datascape Podcast. In today’s episode, Brazilian native Felipe Ferreira joins us from Canada to delve into gaming data technology and analytics. Felipe has extensive experience in development, database administration, business intelligence,…

Oracle has long been a top choice for relational databases—but migrating those workloads to the cloud requires a lot more effort than a simple lift and shift. Oracle databases are typically large and complex, so if you’re looking to migrate…

In the enterprise resource planning (ERP) market, SAP is the recognized market leader, with a massive installed base around the world. But much of that installed base is running on-premises ERP. As part of its commitment to the future of…

If you’ve been running workloads on-premises for years, migrating to the cloud can be a daunting prospect. You probably already have some workloads in the cloud (public, private or both), but they’re most likely workloads that were considered ‘low-hanging fruit’…

One of the biggest drivers of cloud adoption is the promise of tightly integrated first-party services. Microsoft applied this idea to the analytics space by crafting and releasing Synapse Analytics back at the end of 2019. With integration as part…

FinOps is also known as cloud cost optimization. Today we discuss the importance and characteristics of managing cloud spend along with its business justifications and implications for your organization. This is the first of three posts in a series. Along…

Episode 44: Show Notes Snowflake is the only data platform built for the cloud for all your data and all your users. Today we have Kent Graziano, Chief Technology Evangelist at Snowflake, here on the show to discuss how this…

Spark Overview Spark was created in 2009 as a response to difficulties with map-reduce in Hadoop, particularly in supporting machine learning and other interactive data analysis. Spark simplifies the processing and analysis of data, reducing the number of steps and…

As a solutions architect at Pythian, I often get questions from clients about the many solutions available to them to address their big data needs. Between Hadoop, cloud-based, and hybrid solutions, finding the best option for their unique needs can…

It’s not a stretch to say that data is taking over the world. You can see the signs everywhere, from news stories highlighting the breathtaking pace of data creation—projected to hit 163 zettabytes per day by 2025—to the ongoing and…