Real-Time Analytics Strategy 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, Telcos need to harness the power of real-time analytics. Real-time analytics provides Telcos with timely and actionable insights that empower them to make informed decisions, […]

How ChistaDATA helps companies globally in developing high-performance 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, emerged as a global leader in developing high-performance real-time analytics solutions, revolutionizing the way organizations harnessed the power of their data. In the vast […]

Migrating Oracle Database to ClickHouse

In previous article we talked about migrating from OLTP databases to the ClickHouse database. This migration technology tool will soon be available in the ChistaDATA DBaaS and you can enjoy the advantages of ClickHouse database with only a single click. Today we’ll start by showing you how to migrate from an Oracle database to Kafka, […]

Best Practices for ClickHouse’s Role Based Access Control

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 and the information within the scope of their job and nothing more or less. RBAC is based on the roles […]

Sharding and Resharding Strategies in ClickHouse

Picture Courtesy – Photo by Mariana Kurnyk Sharding is a process in which a large database table is divided horizontally into smaller ones (with same schema/columns) and stored across different nodes. ClickHouse supports sharding via distributed table engine. You can learn more about sharding and distributed engines in this blog post. While sharding is a […]

Space Management and Direct Path Load tips and tricks in ClickHouse

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: Space Management: Direct Path Load: By employing these tips and tricks for space management and direct path load in ClickHouse, you […]

How do I know if the cardinality estimates in a ClickHouse plan are accurate?

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. However, you can take the following steps to gain insights into the accuracy of cardinality estimates: It’s important to note that ClickHouse’s cardinality estimation is not always exact […]

How do I display and read the execution plans for a SQL statement in ClickHouse?

To display and read the execution plans for a SQL statement in ClickHouse, you can follow these steps using real-life data sets: For this example, we’ll use a simple SELECT statement to retrieve data from the orders table: SELECT customer_id, COUNT(*) AS order_countFROM ordersGROUP BY customer_idORDER BY order_count DESC; This query will calculate the number […]

How to identify Overlapping Date Ranges in ClickHouse?

To identify overlapping date ranges in ClickHouse, you can use SQL queries that compare the start and end dates of each range to determine if there are any overlaps. Here’s an example using a real-life dataset of employee vacation schedules: Assume we have a ClickHouse table called “vacation_schedule” with the following structure: CREATE TABLE vacation_schedule […]