Articles by Shiv Iyer

About Shiv Iyer

Open Source Database Systems Engineer with a deep understanding of Optimizer Internals, Performance Engineering, Scalability and Data SRE. Shiv currently is the Founder, Investor, Board Member and CEO of multiple Database Systems Infrastructure Operations companies in the Transaction Processing Computing and ColumnStores ecosystem. He is also a frequent speaker in open source software conferences globally.

Comparing ClickHouse v/s Hadoop for Real-time Analytics Capability

Shiv Iyer

Introduction Hadoop and ClickHouse are two different systems that serve different purposes when it comes to processing and analyzing data. Hadoop is a distributed computing platform that is designed to process and analyze large volumes […]

Leveraging ClickHouse to Build Real-time Credit Card Fraud Detection in Modern Banking

Shiv Iyer

Introduction Credit card fraud analytics systems have migrated from traditional OLAP to ClickHouse based real-time analytics systems because traditional OLAP systems have limitations in processing and analyzing large volumes of data in real-time. Limitations of […]

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 perform a full-text phrase search in ClickHouse?

Shiv Iyer

To perform full-text phrase search in ClickHouse, you can use the match() function in combination with regular expressions. Although ClickHouse does not have a built-in full-text search feature like some other databases, the match() function […]

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 […]

ClickHouse Troubleshooting: How to Monitor I/O Subsystem Reads

Shiv Iyer

Introduction If the I/O subsystem reads in ClickHouse are struggling, it can lead to slower query performance and longer query execution times. Here are a few ways to tell if the I/O subsystem reads in […]

Use cases for Real-time Analytics with ClickHouse in Modern Banking

Use cases for Real-time Fraud Analytics with ClickHouse in Modern Banking

Shiv Iyer

Introduction The modern banking industry faces significant challenges related to fraud prevention. Fraudsters are becoming increasingly sophisticated, and traditional fraud detection methods are often insufficient to detect and prevent fraudulent activities. Real-time fraud analytics is […]

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Articles by Shiv Iyer

Comparing ClickHouse v/s Hadoop for Real-time Analytics Capability

Leveraging ClickHouse to Build Real-time Credit Card Fraud Detection in Modern Banking

Data Science in ClickHouse: Normal Distributions and t Distributions

How to perform a full-text phrase search in ClickHouse?

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

ClickHouse Troubleshooting: How to Monitor I/O Subsystem Reads

Use cases for Real-time Fraud Analytics with ClickHouse in Modern Banking

How to Configure ClickHouse for Optimal Usage of Available RAM?

How to tune ClickHouse configuration parameters for optimal query performance?

How prefetching works during WAL recovery in ClickHouse?