article thumbnail

What is Unstructured Data? A Guide to Storage, Processing, and Analysis

Seattle Data Guy

A Guide to Storage, Processing, and Analysis appeared first on Seattle Data Guy. However, much of the data that is being created and will be created comes in some form of unstructured format. However, the digital era… Read more The post What is Unstructured Data?

article thumbnail

Testing DuckDB’s Large Than Memory Processing Capabilities.

Confessions of a Data Guy

I find the good, the bad, the ugly, and splay them out before you, string ’em up and […] The post Testing DuckDB’s Large Than Memory Processing Capabilities. appeared first on Confessions of a Data Guy.

Process 113
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Stream processing models

Waitingforcode

If you're interested in stream processing, I bet your thinking is technology-based. It's not wrong, after all, the ability to use a tool gives you and me a job. However, for a long-term consideration it's better to reason in terms of patterns or models. Being aware of a more general vision helps assimilate new tools.

Process 130
article thumbnail

Event time skew in stream processing

Waitingforcode

Turns out, stream processing also has its skew but more related to time. As a data engineer you're certainly familiar with data skew. Yes, this bad phenomena where one task takes considerably more input than the others and often causes unexpected latency or failures.

Process 130
article thumbnail

Drive Better Decision-Making with Data Storytelling

A good data story is formed by three components: Data analysis - This is the basis of a strong story and mastering the data is an essential part of the process. Visualizations and insights are supported by a narrative that helps to expedite the decision-making process.

article thumbnail

Real-time Analytics Vs Stream Processing – What Is The Difference?

Seattle Data Guy

However, there often is a conflation between real-time data analytics and stream processing. These are two different concepts that are crucial to understanding how to… Read more The post Real-time Analytics Vs Stream Processing – What Is The Difference? appeared first on Seattle Data Guy.

Process 130
article thumbnail

Infoshare 2024: Stream processing fallacies, part 1

Waitingforcode

Otherwise, you wouldn't read stream processing fallacies! Last week I was speaking in Gdansk on the DataMass track at Infoshare. As it often happens, the talk time slot impacted what I wanted to share but maybe it's for good.

Process 130
article thumbnail

The AI Superhero Approach to Product Management

Speaker: Conrado Morlan

In this engaging and witty talk, industry expert Conrado Morlan will explore how artificial intelligence can transform the daily tasks of product managers into streamlined, efficient processes. Tools and AI Gadgets 🤖 Overview of essential AI tools and practical implementation tips.

article thumbnail

BI Buyers Guide: Embedding Analytics in Your Software

This exhaustive guide with a foreword from BI analyst Jen Underwood dives deep into the BI buying process and explores how to decide what features you need. And as the number of vendors grows, it gets harder to make sense of it all. Don't go into the fray unarmed.

article thumbnail

Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

We’ll explore how recent developments are impacting strategic planning and decision-making processes, as well as practical strategies to leverage these trends to the benefit of your organization.

article thumbnail

How to Find and Test Assumptions in Product Development

Assumptions mapping is the process of identifying and testing your riskiest ideas. Watch this webinar with Laura Klein, product manager and author of Build Better Products, to learn how to spot the unconscious assumptions which you’re basing decisions on and guidelines for validating (or invalidating) your ideas.

article thumbnail

7+ Graphics Libraries to Enhance Your Embedded Analytics

You’ll learn: Seven graphics libraries developers can use to enhance in-app analytics Easy-to-use wireframe tools to help the design and approval process The importance of modernizing your embedded analytics Download the e-book to learn about the seven-plus graphics libraries to enhance your embedded analytics.

article thumbnail

How to Optimize the Developer Experience for Monumental Impact

Speaker: Anne Steiner and David Laribee

As an innovative concept, Developer Experience (DX) has gained significant attention in the tech industry, and emphasizes engineers’ efficiency and satisfaction during the product development process.

article thumbnail

LLMOps for Your Data: Best Practices to Ensure Safety, Quality, and Cost

Speaker: Shreya Rajpal, Co-Founder and CEO at Guardrails AI & Travis Addair, Co-Founder and CTO at Predibase

Putting the right LLMOps process in place today will pay dividends tomorrow, enabling you to leverage the part of AI that constitutes your IP – your data – to build a defensible AI strategy for the future.

article thumbnail

How to Package and Price Embedded Analytics

Just by embedding analytics, application owners can charge 24% more for their product. How much value could you add? This framework explains how application enhancements can extend your product offerings. Brought to you by Logi Analytics.