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.

Implementing JOINS in ClickHouse for High-Performance Real-Time Analytics

Shiv Iyer

Introduction In ClickHouse, joins can significantly improve performance when working with large datasets. Joins allow you to combine data from multiple tables based on a common key, and perform various operations on the resulting combined […]

How to Monitor Transaction Logs in ClickHouse

Shiv Iyer

Introduction In ClickHouse, transaction logs are implemented as a set of write-ahead logs (WALs) that are used to ensure durability and consistency of data in case of system failures or crashes. The WALs contain a […]

How to Monitor PageIOLatch Waits in ClickHouse

Shiv Iyer

Introduction PageIOLatch waits are a type of wait event that occurs when a thread is waiting for a page to be read from disk into memory. In ClickHouse, these waits are implemented as part of […]

Hadoop and Teradata vs ClickHouse for Real-time Analytics in Modern Banking

Shiv Iyer

Introduction The migration from traditional Online Analytical Processing (OLAP) systems to real-time analytics on ClickHouse is driven by the growing need for faster and more cost-effective data processing in the modern banking industry. As customer […]

How to use I/O-related Counters for Troubleshooting ClickHouse Performance

Shiv Iyer

Introduction ClickHouse provides several I/O-related performance counters that can be used to monitor and troubleshoot database performance. Here are some of the most important counters and how to use them: 2. Block Cache Hit Ratio: […]

Leveraging ClickHouse for Real-Time Predictive Analytics

Shiv Iyer

Introduction Predictive analytics solutions require fast and scalable storage solutions that can handle large amounts of data and support real-time analysis. ClickHouse is a columnar database management system optimized for OLAP (Online Analytical Processing) workloads […]

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Articles by Shiv Iyer

Implementing JOINS in ClickHouse for High-Performance Real-Time Analytics

How to Monitor Transaction Logs in ClickHouse

How to Monitor PageIOLatch Waits in ClickHouse

Hadoop and Teradata vs ClickHouse for Real-time Analytics in Modern Banking

How to use I/O-related Counters for Troubleshooting ClickHouse Performance

Leveraging ClickHouse for Real-Time Predictive Analytics

Monitoring ClickHouse Query Parser Performance

How does ClickHouse Resource Governor work?

Why do you need great investor teams when you are serious about building a large corporation?

Digital Transformation in Modern Banking with ClickHouse-powered Real-time Analytics