Tech Blogs

  Data replication is the activity where several copies of the same data sets are made and stored in different locations, thereby allowing easy data accessibility across the network. The replicated data can be stored on-site or off-site, in the same system or cloud-based locations. Data replication is so critical that major database technologies such as Microsoft SQL or Oracle database have in-built systems for this activity. Data replication takes place in two ways. One is asynchronous that carries out replication when the Commit statement is issued to the database. The other is synchronous replication where any change that is made to the data at source will be automatically replicated to the data at target. One of the most optimized methods to carry through this process is to use a very effective data replication software . The advantage of the software is that it helps to quickly create a replica of the database at source to a location that is completely independent of the s...

  In July 2019, Amazon Web Service Data Migration Service (AWS DMS) announced the launch of a service that would support the migration of data from any source in AWS Apache Parquet data format to S3. The data migrating feature AWS DMS CDC S3   is available in the 3.1.3 version of DMS. S3 is generally used to support DMS while creating data lakes. This data can be used with a wide range of AWS such as Amazon Redshift Spectrum, Amazon EMR, and Amazon Athena. It has been a long-standing demand by users which has now been accepted by AWS with the launch of AWS DMS CDC to S3 . Why do businesses migrate data from AWS DMS CDC to S3? There are several benefits to it. It provides cutting-edge data security, data availability, performance, and scalability which means that organizations can use the S3 for storing and protecting unlimited volumes of data in the cloud. This includes databases with mobile applications, enterprise applications, websites, protection to unlimited volumes...

  Data replication is the process where several copies of the same database are made and stored in different locations, thereby improving accessibility across a network. Data replication can be performed on individual systems as well as servers and this data can be stored in either the same system, off-site, or a cloud-based provider such as Snowflake. Most database technologies like Microsoft SQL Server or Oracle database have in-built replication features. What then are the benefits of data replication to Snowflake , a cloud-based data warehousing solution? First, Snowflake offers unlimited storage and computing facilities where users can scale up or down in data usage by paying only for the quantum of resources used. Further, Snowflake is a high-performing solution and multiple users can work simultaneously on multiple intricate queries with any lag or drop in speeds. With Snowflake Database Replication, organizations can replicate databases and keep them synchronized acro...

  Amazon Redshift is a data warehouse solution based on the cloud. With Amazon Web Service Data Migration Service, organizations can transfer data from their data center to the target Amazon Redshift. Before starting the Redshift migrate data to process, it is essential to ensure that both the AWS region and the AWS account are in the same cluster as Redshift. The migration is fully automated but to make it a success, several steps have to be followed. Move data with the Data Migration Service to an Amazon S3 bucket. Once the transfer is completed, Amazon S3 automatically transfers all the intended tables in S3 to the Amazon Redshift data warehouse. Even though this Redshift migrate data process is automated human intervention is required when AWS CLI or DMS API is used for the Redshift migration. Here, Access Management Path (IAM) and an AWS Identity has to be established to get access to the S3 bucket. A few basics need to be followed for Redshift migrate data function. ...

  Businesses today are looking for optimized data warehousing solutions to optimize their database management systems. With organizations being fully data driven now, it is always advisable to migrate databases to advanced platforms like Amazon Web Services (AWS), a cloud provider to fully get the many benefits of it. However, AWS DMS (Database Migration Service) will only be very successful and efficient if the right tools are used. These are called AWS DMS ETL tools and they help to migrate data from different sources to a single database. ETL tools largely facilitate this process.           The components of ETL tools are as follows. ·         Extract (E) – Extracting the required data from Heterogeneous or Homogeneous Data sets. ·         Transform (T) – Transforming or modifying the extracted data to match the data structures supported by the target storage database. ...

  Data security is the prime concern of organizations today, with data breaches, leaks, and hacking becoming a very common occurrence. An important method to ramp up data security is saving changed data in the database so that the historical data is always preserved. For ensuring this, various databases have introduced different solutions over time such as triggers, complex queries, timestamps, and data audits. In 2005, SQL Server introduced “after date”, “after insert”, and “after delete” features to enable SQL Server change data capture . But it did not address the issue fully and it was only in 2008 that Microsoft SQL Server launched the Change Data Capture technology where developers could capture and archive data without additional programming. CDC or Change Data Capture is the process that tracks all changes made in user-created tables. These changes are stored in relational tables for quick retrieval and access later with the T-SQL. After the features of the CDC are appl...