Posts
All the articles I've posted.
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Optimizing Amazon Athena Queries with Partitions: A Practical Example
When working with Amazon Athena, one of the most effective strategies to improve query performance and reduce costs is partitioning your data . Partitions allow Athena to scan only the relevant
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Running Apache Airflow Across Environments
Apache Airflow has become a de facto standard for orchestrating data workflows. However, depending on the environment, the way Airflow runs can change significantly. Many teams get confused when
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Can You Perform Data Grouping Directly with the yFinance API?
When working with financial data, efficient aggregation and analysis are essential for generating meaningful insights. A common question among developers and data analysts is whether the yFinance
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Optimizing Partition Strategies in Apache Iceberg on AWS
When working with large-scale analytical datasets, efficient partitioning is critical for achieving optimal query performance and cost savings. Apache Iceberg, a modern table format designed for big
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How Transactions Work in Databricks Using Delta Lake
Databricks is a powerful platform for big data analytics and machine learning. One of its key features is the ability to run transactional workloads over large-scale data lakes using Delta Lake . This
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Versioning Terraform Resources to Meet CIS Security Standards
Infrastructure as Code (IaC) has become a foundational practice for modern DevOps and cloud-native teams. Terraform, as one of the most widely adopted IaC tools, enables infrastructure automation,
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Choosing Between DynamoDB and Cassandra for a Crypto Exchange
When designing the backend of a crypto exchange, selecting the right database architecture is crucial. Two common NoSQL databases often considered for this type of application are Amazon DynamoDB and
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Handling Python datetime Objects in Amazon DynamoDB
When developing data pipelines or applications that store time-based records in Amazon DynamoDB , developers frequently encounter serialization errors when working with Python's datetime objects.