Data Scientist Archives | ChistaDATA Inc.

SQL Antipatterns in ClickHouse

Analyzing Common SQL Antipatterns in ClickHouse and Best Practices for High Performance ClickHouse is renowned for its ability to process trillions of rows in milliseconds, making it a powerhouse for real-time analytics. However, this performance […]

Open Source Data Warehousing and Analytics

Shiv Iyer

Open Source Data Warehousing and Analytics: ChistaDATA’s Expert ClickHouse Support Executive Summary In an era where data has become the lifeblood of modern enterprises, organizations are increasingly recognizing the critical importance of robust, scalable, and […]

Open-Source Trino ODBC Driver for MinIO/StorageGRID Integration

Shiv Iyer

Technical Guide: Implementing the Open-Source Trino ODBC Driver for MinIO/StorageGRID Integration Welcome to this implementation guide for the Trino ODBC driver, designed to integrate seamlessly with MinIO and StorageGRID systems. We have developed this resource […]

Most Common ClickHouse Analytical Models

Shiv Iyer

Unlocking ClickHouse’s Potential: A Deep Dive into the Most Common Analytical Models ClickHouse is a high-performance, columnar database management system designed for real-time analytical workloads. Its architecture allows it to process large datasets at lightning […]

Data Science in ClickHouse: Normal Distributions and t Distributions

Shiv Iyer

Introduction The normal distribution and t-distribution are two of the most commonly used probability distributions in statistics. They are used to model the distribution of continuous variables, such as heights, weights, and test scores, and […]

How to Implement the Black-Scholes Model in ClickHouse?

How do Data Scientists use Black-Scholes model on ClickHouse?

Shiv Iyer

Introduction The Black-Scholes model is a mathematical formula used to estimate the price of European-style options, which are financial contracts that give the holder the right, but not the obligation, to buy or sell an […]

Implementing Chebyshev's Inequality in ClickHouse

Data Science in ClickHouse: How to implement Chebyshev’s Inequality?

Shiv Iyer

Introduction Chebyshev’s inequality is a statistical theorem that provides a bound on the probability that a random variable deviates from its mean by more than a certain number of standard deviations. Specifically, it states that […]

Data Science in ClickHouse: Skewed Q-Q Plots

Shiv Iyer

* Everything changes over time – Our blogs/posts and comments changes over time, That’s how it should be! Whatever we comment from ChistaDATA Inc. Teams (including Shiv Iyer) and other stakeholders or guest bloggers posted here are never permanent, These things worked for us. But, there is no guarantee they will work for you too, When using the recommendations from ChistaDATA or MinervaDB or MinervaSQL or any other online resources / Google, You must test the advice before applying them to your production systems, and always invest for a robust Database DR solution, Thank you for understanding.

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