Tag: analytics

Leveraging Azure Synapse Analytics Service Integrations

azure synapse analytics

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…

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What Is FinOps? Part One: A Crash Course in Cloud Cost Optimization

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…

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Datascape Podcast Episode 44: Snowflake with Kent Graziano

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…

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Spark + Cassandra Best Practices

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…

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Can you run Hadoop in the cloud?

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…

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Infographic: five ways to make analytics for everyone

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…

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Why your data hub belongs in the cloud

Whether your core infrastructure is on-prem or in the cloud, there’s only one choice for your data hub
The public cloud effectively provides you with three options:  Infrastructure as a Service, Platform as a Service or Software as a Service. And with IaaS, people often face the choice of “rent vs buy”.

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Five ways to build a data-driven culture within your organization

In this post guest blogger Jim Donnelly introduces some of the concepts in our latest eBook, Analytics for Everyone, discussing what it takes to drive a data-first culture across your organization. Imagine that it’s been about a year since you…

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Is the data warehouse dead?

Whether or not the data warehouse is dying or just in need of a major overhaul is a matter of opinion. But what we do know is that traditional data warehouses are challenged to deliver on new and emerging technology…

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Data as a data scientist recruitment tool

Everyone knows that data scientists are in high demand and recruiting them is very challenging these days, especially if you’re not a huge sexy brand-name company. What are these data scientists looking for in a company and how can you…

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