Category: Category

Effortlessly ETL Data from MongoDB to SQL Server

MongoDB is an ideal database to handle the explosive growth in unstructured data. The non-relational nature of the database allows excellent back-end support for applications related to the Internet of Things, content management, e-commerce, and more. However, when it comes […]

Read more

An Easier Way to Implement Trigger-Based Change Data Capture in SQL Server

Suppose you have an SQL with customer information connected to a data warehouse. Your analysts utilize this database to create personalized marketing campaigns for your customers. New customer data comes in regularly, and old customer data changes frequently. To account […]

Read more

Effortlessly Convert Parquet to CSV with Astera Centerprise

The modern-day data landscape has led to the evolution of file formats that allow faster data processing and ensure reduced time to market. The recent introduction in the realm of file formats is Parquet, which can handle large volumes of […]

Read more

AWS Redshift Vs Snowflake: 5 Key Differences

The rise of big data has been met with a commiserate increase in data storage and computing technologies that can scale effectively without costing businesses an arm and a leg. The decision to build a cloud data warehouse on Redshift […]

Read more

3 Ways to Transfer Data from Amazon S3 to Redshift

With social media, sensors, and IoT devices breathing life in every appliance, we generate volumes of data every day. More data is always good news until your storage bill starts increasing and it becomes difficult to manage. Unstructured data is expected […]

Read more