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HomeChistaDATA

ChistaDATA

ChistaDATA

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 […]

Application Domain Index for Nested Data Structures
ChistaDATA

Optimizing Revenue for FinTech Platforms Using K-Means Algorithms in Google BigQuery

Shiv Iyer

Harnessing the sophisticated K-Means algorithm within Google BigQuery’s comprehensive analytics ecosystem presents a transformative opportunity to substantially enhance revenue optimization strategies for FinTech platforms. This advanced machine learning technique demonstrates remarkable proficiency in categorizing diverse […]

Machine Learning in ClickHouse
ClickHouse

Understanding ClickHouse MergeTree: Data Organization, Merging, Replication, and Mutations Explained

Shiv Iyer

Understanding ClickHouse MergeTree: Data Organization, Merging, Replication, and Mutations Explained ClickHouse is renowned for its high-performance analytics and its ability to efficiently handle massive amounts of data. At the core of ClickHouse’s data storage and […]

baremetal

bare-metal.io – Run analytical workloads for one-fourth of the AWS costs

Vijay Anand

Photo by Kevin Ku: Pexels Cloud computing is the on-demand delivery of IT resources over the Internet with pay-as-you-go pricing. Instead of buying, owning, and maintaining physical data centers and servers, you can access technology […]

BigQuery to ChistaDATA Cloud for ClickHouse
ChistaDATA

Migrating From Google BigQuery to ChistaDATA Cloud for ClickHouse: Part 1

Vijay Anand

Introduction BigQuery is Google‘s fully managed, serverless data warehouse that enables scalable analysis over petabytes of data. – Wikipedia Google BigQuery has been around for over a decade and offers serverless / fully managed solutions for data warehouse/ analytical […]

ClickHouse Security: Implementing Data Masking for Regulatory Compliance 
ClickHouse

ClickHouse Security: Implementing Data Masking for Regulatory Compliance 

Shiv Iyer

Masking data in ClickHouse for data security and compliance involves altering the representation of the data to protect sensitive information. Data masking is essential in scenarios where you need to share data without exposing sensitive details, such as in development environments or with third-party analysts. […]

ClickHouse Troubleshooting: Not Able to Connect to ClickHouse
ClickHouse

Comprehensive Guide for ClickHouse Horizontal Scaling and Capacity Planning

Shiv Iyer

Calculating your company’s required real-time analytics capacity on ClickHouse involves several steps and considerations. It’s important to assess current and projected data volumes, query complexity, and the expected concurrency of queries. […]

Migrating from Databricks to ChistaDATA's ClickHouse
ChistaDATA

Runbook for Migration from Databricks to ChistaDATA Cloud for ClickHouse: Part 1

Vijay Anand

Introduction Databricks is an enterprise software company founded by the creators of Apache Spark. The unique feature of Databricks is that it combines data warehouses & data lakes into a lakehouse architecture. Databricks SQL is […]

ClickHouse Release Notes – v23.8 LTS (August 2023)
ChistaDATA

ClickHouse 23.8 LTS – Release Blog

Vijay Anand

Introduction The latest Long Term Support version of ClickHouse was released on 31 August (23.8 LTS). ClickHouse has two LTS releases every year (March and August) and this latest release has a lot of bug […]

No Picture
ChistaDATA

Best Practices for ClickHouse’s Role Based Access Control

Vijay Anand

Role-based access control (RBAC) is a method of restricting access to a resource based on the roles of the users within an organization. RBAC can ensure that the users are allowed to access the resource […]

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ChistaDATA is committed to open source software and building high performance ColumnStores

In the spirit of freedom, independence and innovation. ChistaDATA Corporation is not affiliated with ClickHouse Corporation 

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★READ THIS WARNING★

* 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. 

Recent Posts from ChistaDATA

  • ClickHouse Storage Engines
  • ClickHouse Thread Architecture
  • Advanced ClickHouse SQL: Window Functions, Array, and JSON Processing
  • Untangling the Spaghetti: Writing Efficient ClickHouse SQL
  • Troubleshooting Suboptimal ClickHouse Queries

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