Hevo
DECEMBER 26, 2023
As a result, organizations should focus on designing superior databases to meet the objectives of projects without losing direction. Consequently, Database Schema Design Examples and the Database Schema Example have […] Databases are the cornerstone of almost all business projects.
Start Data Engineering
DECEMBER 11, 2022
Data pipeline patterns 3.1. Disconnected data pipelines 4. Source Ordering 2.3. Sink Overwritability 3. Extraction patterns 3.1.1. Time ranged 3.1.2. Full Snapshot 3.1.3. Lookback 3.1.4. Streaming 3.2. Behavioral 3.2.1. Idempotent 3.2.2. Self-healing 3.3. Structural 3.3.1. Multi-hop pipelines 3.3.2. Conclusion 5. Further reading 6.
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Start Data Engineering
JANUARY 12, 2023
Introduction Sample project Code design patterns 1. Functional design 2. Decorators Misc Conclusion Further reading References Introduction Using the appropriate code design pattern can make your code easy to read, extensible, and seamless to modify existing logic, debug, and enable developers to onboard quicker. Dataclass 3.
KDnuggets
AUGUST 12, 2022
You can not take the liberty of trying all possible ways to arrive at a solution - hence we discuss the importance of experiment design in data science projects. Do you feel overwhelmed by the sheer number of ideas that you could try while building a machine learning pipeline?
Speaker: Timothy Chan, PhD., Head of Data Science
🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.
Monte Carlo
MAY 28, 2024
A data ingestion architecture is the technical blueprint that ensures that every pulse of your organization’s data ecosystem brings critical information to where it’s needed most. Ensuring all relevant data inputs are accounted for is crucial for a comprehensive ingestion process.
Knowledge Hut
FEBRUARY 29, 2024
Have you ever found yourself confused about the difference between UI UX designers & Product designers? UI/UX designers primarily focus on creating visually appealing & functional interfaces, ensuring optimal user experience. Let's take a closer look at the parameters for UI UX designer Vs product designer.
Speaker: Dr. Greg Loughnane and Chris Alexiuk
However, during development – and even more so once deployed to production – best practices for operating and improving generative AI applications are less understood.
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The Definitive Guide to Embedded Analytics is designed to answer any and all questions you have about the topic. Access the Definitive Guide for a one-stop-shop for planning your application’s future in data. It will show you what embedded analytics are and how they can help your company.
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Why do some embedded analytics projects succeed while others fail? We surveyed 500+ application teams embedding analytics to find out which analytics features actually move the needle. Read the 6th annual State of Embedded Analytics Report to discover new best practices. Brought to you by Logi Analytics.
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Many application teams leave embedded analytics to languish until something—an unhappy customer, plummeting revenue, a spike in customer churn—demands change. But by then, it may be too late. In this White Paper, Logi Analytics has identified 5 tell-tale signs your project is moving from “nice to have” to “needed yesterday.".
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Dashboard design can mean the difference between users excitedly embracing your product or ignoring it altogether. Great dashboards lead to richer user experiences and significant return on investment (ROI), while poorly designed dashboards distract users, suppress adoption, and can even tarnish your project or brand.
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