Building Real-Time Analytics Systems

This book is a practical guide for implementing real-time analytics applications on top of existing data infrastructure. It is aimed at data engineers, data architects, and application developers who have some experience working with streaming data or would like to get acquainted with it.

The book will conclude with considerations when putting applications into production, a look at some real-world use cases of real-time analytics, and a gaze into our real-time analytics crystal ball to see what might be coming in this field over the next few years.

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Top 6 Use Cases for Real-Time Analytics

Ready to stay ahead in today’s fast-paced data-driven world? This eBook is your guide to unlocking the full potential of real-time analytics, no matter your industry or specific use case.

What’s inside?

  • 6 Real-World Use Cases: Discover how companies use real-time analytics for fraud detection, personalization, business metrics monitoring, and more.
  • Industry-Specific Applications: Learn how real-time analytics is transforming industries like IT, retail, FinTech, customer service, and more.
  • Actionable Insights: Quickly identify solutions with our easy-to-use matrix, explore real-world examples, and gain inspiration from customer success stories.
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Top 6 Use Cases for Real-Time Analytics

Ready to stay ahead in today’s fast-paced data-driven world? This eBook is your guide to unlocking the full potential of real-time analytics, no matter your industry or specific use case.

What’s inside?

  • 6 Real-World Use Cases: Discover how companies use real-time analytics for fraud detection, personalization, business metrics monitoring, and more.
  • Industry-Specific Applications: Learn how real-time analytics is transforming industries like IT, retail, FinTech, customer service, and more.
  • Actionable Insights: Quickly identify solutions with our easy-to-use matrix, explore real-world examples, and gain inspiration from customer success stories.
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Building Real-Time Analytics Systems

This book is a practical guide for implementing real-time analytics applications on top of existing data infrastructure. It is aimed at data engineers, data architects, and application developers who have some experience working with streaming data or would like to get acquainted with it.

The book will conclude with considerations when putting applications into production, a look at some real-world use cases of real-time analytics, and a gaze into our real-time analytics crystal ball to see what might be coming in this field over the next few years.

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Packaging Powerhouse Attains 89% OEE with Smart Factory Suite

A packaging leader's executive team conducted a manual analysis in search of ways to improve operations and attain higher output without sacrificing quality or sustainability. Through this analysis, the company recognized that efficiency improvements remained stagnant while employees were unaware of reporting procedures. Since expectations were not aligned with current operational standards, reaching their goals became a challenge.

The company needed a solution for its manufacturing procedures that could be easily adopted with limited disruptions. The solution also had to be accessible to every team member. Shoplogix provided the company with the technology required to have reliable data tracking and continuous improvement.

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Driving Business Value Through Digital Experiences

The most beloved and successful brands see the interaction a customer has with a company's digital presence, including websites, mobile apps, AI apps, and other digital channels as a strategic imperative. Superior digital experiences lead to increased customer satisfaction, loyalty, and ultimately, better business outcomes. Conversely, poor digital experiences can result in lost customers, negative reviews, and decreased revenue.

To provide seamless, fast, and reliable interactions across various digital experiences, companies need sophisticated monitoring and observability tools to ensure systems are running optimally and issues are addressed proactively.

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Your Data Room Checklist

You can’t do an M&A deal without doing due diligence.

And you can’t do due diligence without a virtual data room (VDR).

So, a trusted and powerful platform, with the best technology, security, and service, is essential for completing deals efficiently and successfully.

Do your due diligence on your data room. To make sure your data room is the right one for you.

View Your Data Room Checklist now.

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Datasite Forecaster – H2 2024 Outlook

Good times are ahead for the M&A market, based on sell-side deal flow in H1 2024 compared to the year before. Global deal kickoffs jumped 17%, driven by easing inflation and pent-up demand. The deal surge starts to close this July, assuming a six-to-nine month timeline. What are the key trends to track as we move into the second half of the year?

Learn more in the full report.

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The Business Value of Forward Networks

Network Digital Twin from Forward Networks delivers $14.2M in annual value for typical large enterprises.

IDC Business Value Report details the ROI of network performance and efficiency gains.

Discover how Forward Enterprise can reduce network outages, accelerate troubleshooting, and improve security/compliance.

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Why Observability Is Becoming a Key Part Of C-suite Conversations

Observability is critical for developers. It gives them the real-time visibility and insights they need to stay productive and avoid incidents. But observability isn’t just for engineering teams. For C-level executives, visibility into user experience and customer journeys is top of mind, New Relic is able to show these key performance indicators (KPIs) in easy to understand dashboards.

Here are five examples of the executive-level benefits of New Relic, as told by the customers themselves.

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What Makes Observability a Priority

Organizations are managing a more diverse array of infrastructure than ever, which increases security, risk, and compliance concerns and affects service-level metrics. Monitoring and observability help address these concerns. However, monitoring is fragmented and significant data is unmonitored. Even so, as cloud, cloud-native, and open-source adoption, usage, and spending continue to increase, so do observability deployment and budget plans. Unfortunately, pricing and billing can be a barrier to achieving observability.

This white paper provides in-depth research about what makes observability a priority. It reviews how digital transformation is driving observability as organizations continue to shift workloads to multi- and hybrid-cloud environments and adopt open-source and cloud-native technologies, including containers, microservices, and serverless.

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Why You Need a Single Tool for Infrastructure Monitoring and APM

To achieve this goal, first, you need a single observability platform that informs how your underlying infrastructure impacts your application performance. Second, you need a cultural shift that embraces end-to-end observability—inclusive of people, processes, and tools. The ultimate goal is to achieve full-stack observability so you can detect and resolve issues quickly while minimizing impacts on your teams and customers.

If you want to build, deploy, and operate high performing services, while reducing high tooling and engineering costs, this ebook is for you. You’ll discover how to achieve application performance monitoring (APM) and infrastructure monitoring from a single observability platform that enables you to:

  • Lessen revenue loss as a result of downtime.
  • Reduce tool sprawl.
  • Remediate performance issues quickly to minimize customer impact.
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When a Snowflake Turns into a Blizzard

12 Reasons Snowflake Costs Get Out Of Control

For many teams, Snowflake's data warehousing capabilities seem limitless at first. But as usage grows more sophisticated, costs can balloon if not kept carefully in check. When Snowflake bills start arriving much larger than expected, it's time to tame the proverbial blizzard before it buries the budget.

This ebook focuses on twelve common culprits that can cause Snowflake costs to rise unexpectedly and a practical solution specific to analytics. From inefficient queries to oversized warehouses to unexpected data growth, these cost creep issues often happen gradually beneath the surface. But their collective impact can add up to a budget-busting blizzard if not addressed.

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