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Data Enthusiast @CodeDrivenData

Joined July 2024
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Data Enthusiast @CodeDrivenData

11 months ago

In modern banking, real-time analytics is essential for making accurate, timely decisions amid growing data volumes.#ChistaDATA explains real-time analytics transforms decision-making .#ChistaDATA @chistadata chistadata.com/the-power-of-r…

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Data Enthusiast @CodeDrivenData

11 months ago

Indexing improves query performance, but in some cases, it may not be ideal. #ChistaDATA scenarios in where avoiding indexing could enhance performance, using real-life examples to illustrate best practices.#ChistaDATA @chistadata chistadata.com/striking-the-b…

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Data Enthusiast @CodeDrivenData

11 months ago

ClickHouse enhances data processing efficiency with its Streaming and Blocking Operators.ChistaDATA understands their strengths and limitations helps optimize your ClickHouse queries based on your use case.#ChistaDATA @chistadata chistadata.com/streamlining-c…

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Data Enthusiast @CodeDrivenData

11 months ago

#OLAP enables fast calculations, modelling, and forecasting of business data, supporting reporting and performance management. #ChistaDATA @chistadata chistadata.com/streaming-from…

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Data Enthusiast @CodeDrivenData

11 months ago

#OLAP enables fast calculations, modelling, and forecasting of business data, supporting reporting and performance management. #ChistaDATA @chistadata chistadata.com/streaming-from…

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Data Enthusiast @CodeDrivenData

11 months ago

#ClickHouse's Kafka table engine efficiently reads and stores streaming messages from #Apache Kafka. It also supports publishing data back to #Kafka using materialized views.#ChistaDATA @chistadata chistadata.com/streaming-clic…

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Data Enthusiast @CodeDrivenData

11 months ago

Storing and searching for vectors in ClickHouse is becoming increasingly relevant, especially with the rise of machine learning, AI, and similarity-based searches that involve embedding vectors. #ChistaDATA @chistadata chistadata.com/storing-and-se…

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Data Enthusiast @CodeDrivenData

11 months ago

The "IS" operator in #ClickHouse compares values against conditions or sets and returns a Boolean result. It simplifies tasks like checking for NULL values and filtering or categorizing data based on specific criteria.#ChistaDATA @chistadata chistadata.com/sql-tip-master…

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Data Enthusiast @CodeDrivenData

11 months ago

The OVER clause can be used across various business scenarios, especially in time-series analysis, financial reporting, customer behaviour analysis, and operational monitoring. #ChistaDATA @chistadata chistadata.com/sql-tip-enhanc…

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Data Enthusiast @CodeDrivenData

11 months ago

ClickHouse is a compelling columnar database that has gained significant popularity for time-series workloads due to its ability to efficiently handle high throughput data ingestion and complex analytical queries. #ChistaDATA @chistadata chistadata.com/speed-up-your-…

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Data Enthusiast @CodeDrivenData

11 months ago

Effective space management and direct path loading in #ClickHouse enhance storage efficiency, query performance, and data loading speed. #ChistaDATA @chistadata chistadata.com/space-manageme…

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Data Enthusiast @CodeDrivenData

11 months ago

#ChistaDATA Cloud is in early preview, featuring autonomous #ClickHouse and upcoming integrations for seamless analytics.Future blogs will explore OLTP challenges and time-series data processing with ClickHouse.#ChistaDATA @chistadata chistadata.com/sneak-peek-at-…

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Data Enthusiast @CodeDrivenData

11 months ago

#Sharding involves splitting a large table across multiple servers, a process managed by ClickHouse's distributed table engine. #ChistaDATA explores basic sharding examples in #ClickHouse using #Docker. @chistadata chistadata.com/sharding-in-cl…

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Data Enthusiast @CodeDrivenData

11 months ago

Sharding and Resharding are crucial strategies in managing data distribution and ensuring scalability and performance #ChistaDATA @chistadata #ClickHouse #ClickHousePerformance chistadata.com/sharding-and-r…

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Data Enthusiast @CodeDrivenData

11 months ago

#TransportLayerSecurity (TLS), formerly known as SSL, secures communication over networks. Enabling TLS in ClickHouse ensures encrypted communication between the database, clients, and servers in the cluster.#ChistaDATA @chistadata chistadata.com/setting-up-tls…

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Data Enthusiast @CodeDrivenData

11 months ago

Like any complex system handling sensitive data, #ClickHouse is not immune to security risks. While offering flexibility, its open-source nature also makes it susceptible to potential vulnerabilities #ChistaDATA @chistadata chistadata.com/securing-click…

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Data Enthusiast @CodeDrivenData

11 months ago

The migration from #Hadoop to #ClickHouse for real-time analytics represents a strategic shift for organizations looking to unlock faster, more efficient data processing capabilities. #ChistaDATA @chistadata chistadata.com/seamless-trans…

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Data Enthusiast @CodeDrivenData

11 months ago

The integration of #ChatGPT with #ChistaDATA DBaaS transforms database management, making interactions more intuitive and accessible through natural language processing.#ChistaDATA @chistadata chistadata.com/gen-ai-with-ll…

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Data Enthusiast @CodeDrivenData

11 months ago

Delta updates are unsuitable for OLAP databases, which are optimized for read-heavy workloads and fast aggregation over large datasets, like #ClickHouse, Apache Druid, and Amazon Redshift #ChistaDATA @chistadata chistadata.com/why-delta-upda…

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Data Enthusiast @CodeDrivenData

11 months ago

Managing users effectively in ClickHouse is crucial for ensuring data security and proper access control. Here’s a comprehensive user management guide covering authentication, authorization, and future security enhancements. #ChistaDATA @chistadata chistadata.com/mastering-user…

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