Whitepapers
Datanami's white paper database contains reports from the leading thought-leaders and idea generators in the Datanami industry. 
If you’re developing or thinking of developing an AI strategy to transform your business, there’s a lot to consider, let us help. We’re the creator of the leading open source machine learning and artificial intelligence platform and our vision is to democratize AI for all and empower every company to be an AI company. Read more…
BI has become a must-get for any company, and while it does offer some great value, what are you really getting from it? Although BI is great at visualizing your data and giving you digestible reports, it’s hard to make predictions and automate your insights to really optimize your operations. Read more…
Hadoop is a popular enabler for big data. But with data volumes growing exponentially, analytics have become restricted and painfully slow, requiring arduous data preparation. Often, querying weeks, months, or years of data is simply infeasible, and organizations succeed in analyzing only a fraction of their data. Read more…
Modern cloud architectures combine three essentials: the power of data warehousing, flexibility of Big Data platforms, and elasticity of cloud at a fraction of the cost to traditional solution users. Read more…
Learn where Data, Analytics, and IT leaders are with their 2020 enterprise cloud strategy, their data and analytics priorities, and what their biggest challenges are. You’ll get key insights on their priorities around data virtualization, data governance, and data security across their on-premises and multi-cloud environments. Read more…
Kafka is not difficult to use, but it is tricky to optimize. It has evolved from essentially a message queue to a versatile streaming platform. Read the 10 golden rules of managing Kafka that will help you perfect your Kafka system and stay ahead of the curve. Read more…
There is a wide range of ML use cases that can help organizations grow. However, the technology is still primarily in the early mainstream adoption stage. At TDWI, they see that many organizations get stuck when they start to make use of the technology, which can prevent it from being used in other parts of (or even across) the organization. Read more…
This buyer’s guide lays out key considerations for organizations looking to apply data virtualization to their analytics use cases. Along with key features and capabilities, you’ll learn about the difference between data virtualization and query federation, drill down on caching techniques and get a detailed feature ranking worksheet for evaluating vendors in the space. Read more…
It’s not surprising that with the right data visualizations, you can tell a compelling data story and help your audience figure out what actions they should take next. To make this easier for everyone, GoodData asked data analytics experts for their insights and best practices regarding data visualizations, which are compiled into this ebook. Read more…
Data generated globally is growing at a massive rate that will increase exponentially as the predicted billions of IoT devices add their weight to the stack, reaching what analysts at IDC believe will be 79 trillion GBytes in 2025. Read more…
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