Remove Azure Remove Cloud Remove Underperforming Technical Team
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Microsoft as a Mirror - What We Can Expect for SaaS in 2023

Tom Tunguz

I’m watching public company earnings to identify early weaknesses in the software market. We saw moderated consumption growth in Azure and lower-than-expected growth [elsewhere]. Spending Won’t Ramp Again Until Optimization Stops in about a Year Customers are optimizing their cloud spend in 2023.

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Clouded Judgement 1.6.23

Clouded Judgement

Every week I’ll provide updates on the latest trends in cloud software companies. Cloud Downgrades This week UBS came out with a couple research reports citing concerns in AWS / Azure growth. We know software is impacted from macro - but how bad will it get? This brings me back to AWS / Azure downgrades.

Cloud 130
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Startup Best Practices 26 - Choosing Your Startup's Competitive Strategy

Tom Tunguz

Determining how to compete is a critical part of developing a startup idea. To do that, a startup must understand where opponents are strong, and where they are weak. By attacking the weak points and matching them to customer needs, a startup creates maximum leverage. The Azure team has built products to leverage that strength.

Startup 100
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SaaStr Podcasts for the Week with Byron Deeter, Elliott Robinson, Henry Schuck, and Jason Lemkin

SaaStr

373: Bessemer’s 5th Annual State of the Cloud Report returns for a definitive look at the cloud industry today. We want to take you through the cloud journey over the last several years. Now, the cloud index fell along with it. If you go back to before 2014, what you see is the power of the cloud.

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Best Data Analysis Software

Neil Patel

Your team is the very pulse of your business, which is why their skillset is the most crucial factor when it comes to choosing a software tool. Figure out the technical knowledge of your team. Do you have a team of engineers and data scientists who know programming languages like Python, SQL, and R? User Skillset.

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SaaS Applications Architecture – The How

Frontegg

As explained in the first part of this series, we clearly saw why Software-as-a-Service (SaaS) is the way to go when it comes to establishing self-serving applications that can be scaled up and developed fast(er). Getting Started with SaaS App Development. Non-cloud use cases like banking and finance businesses.

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Tabular: Turning Your Data Swamp into a Data Lakehouse with Apache Iceberg

Clouded Judgement

Before diving into more specifics about what Tabular does, I’d like to start with a brief overview of how cloud-native data architectures have evolved over the last decade. Typical data lake storage solutions include AWS S3, Azure Data Lake Storage (ADLS), Google Cloud Storage (GCS) or Hadoop Distributed File System (HDFS).

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