Shiv Iyer, Author at ChistaDATA Inc.

How to implement Lazy Expressions in ClickHouse for Query Performance?

Introduction Lazy expression evaluation has several use cases in data processing and analytics. Here are some common scenarios where lazy evaluation is beneficial: Lazy expression evaluation is widely used in various data processing systems, including […]

Configuring ClickHouse Server for High Performance

How to Configure ClickHouse Server for High Performance

Shiv Iyer

Introduction Configuring the ClickHouse Servercan significantly impact the performance of your queries. While this may not affect the performance of ClickHouse systems with smaller datasets, it significantly impacts the performance of datasets at scale with […]

ClickHouse Replication: Understanding High Watermark Mechanism for Horizontal Scaling

ClickHouse High Watermark: Replication Mechanism for Horizontal Scaling

Shiv Iyer

Introduction In ClickHouse, the term “high watermark” refers to a mechanism used to track the progress of data replication in a distributed environment. It helps ensure data consistency and integrity across multiple replicas of a ClickHouse […]

From Snowflake to ClickHouse: How ChistaDATA Enabled the World’s Largest Ad Tech Platform’s Migration and Built an Optimal Real-Time Analytics Infrastructure

Shiv Iyer

Introduction The world of advertising technology is fast-paced, data-intensive, and requires real-time insights for efficient decision-making. In this case study, we explore how ChistaDATA, a leading provider of advanced analytics solutions, helped the world’s largest […]

Real-Time Analytics for Telcos: Building the Strategy

Shiv Iyer

Introduction: Real-Time Analytics for Telcos The telecommunications industry is experiencing unprecedented growth and transformation, driven by technological advancements, increasing customer demands, and evolving market dynamics. To stay relevant and competitive in this rapidly changing landscape, […]

Achieving Real-time Analytics with ChistaDATA’s ClickHouse

Shiv Iyer

Introduction: Achieving Real-time Analytics Once upon a time, in a rapidly evolving digital landscape, businesses faced the challenge of delivering real-time analytics to gain valuable insights and stay ahead of the competition. One company, ChistaDATA, […]

Do Parallel Query Execution Plans improve ClickHouse Performance?

Shiv Iyer

Introduction Parallel query execution in ClickHouse can have both positive and negative effects on performance, depending on the specific use case and the characteristics of the data set. Potential Impact on ClickHouse performance Here’s an […]

Direct Path Load and Space Management in ClickHouse

Direct Path Load and Space Management for Optimal ClickHouse Storage & Ingestion

Shiv Iyer

Introduction Space management and direct path load are important considerations in ClickHouse for optimizing storage efficiency and data loading performance. Here are some tips and tricks for space management and direct path load in ClickHouse: […]

Accuracy of Cardinality Estimates in ClickHouse Execution Plans

ClickHouse Performance: How to assess Accuracy of Cardinality Estimates in Execution Plans

Shiv Iyer

Introduction In ClickHouse, evaluating the accuracy of cardinality estimates in a query plan can be challenging since ClickHouse relies on different heuristics and sampling techniques to estimate cardinalities. Accuracy of Cardinality Estimates However, you can […]

How to drop an Existing Histogram from a ClickHouse Column?

Shiv Iyer

Introduction To drop an existing histogram on a ClickHouse column and prevent the Auto Stats gathering job from creating it in the future, you can follow these steps: For example: Identify the column name that […]

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Articles by Shiv Iyer

How to implement Lazy Expressions in ClickHouse for Query Performance?

How to Configure ClickHouse Server for High Performance

ClickHouse High Watermark: Replication Mechanism for Horizontal Scaling

From Snowflake to ClickHouse: How ChistaDATA Enabled the World’s Largest Ad Tech Platform’s Migration and Built an Optimal Real-Time Analytics Infrastructure

Real-Time Analytics for Telcos: Building the Strategy

Achieving Real-time Analytics with ChistaDATA’s ClickHouse

Do Parallel Query Execution Plans improve ClickHouse Performance?

Direct Path Load and Space Management for Optimal ClickHouse Storage & Ingestion

ClickHouse Performance: How to assess Accuracy of Cardinality Estimates in Execution Plans

How to drop an Existing Histogram from a ClickHouse Column?