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Everything you need to know about data replication for AWS

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 In today’s hyper competitive business landscape, data is more than an operational asset, it is now more valuable than any other asset. When utilised correctly, data can be a massive tool for unlocking business growth. To stay agile, businesses need to become data-driven, and to do so, businesses need to recognize the value of data and use the right tools and practices to leverage data intelligently. This is where cloud data platforms like AWS come into the picture. With AWS, businesses can build advanced data analytics applications to power processes and operations, and perform data transformations for interactive analytics. Ready to move to AWS for cloud computing services? Then you need ETL (Extract, Transform, Load) to process and collect data from multiple data sources before uploading it into a data warehouse. To achieve this, your business needs to rely on a high-performance, scalable and secure ETL tool for AWS which can replicate your business data to a new database. ...
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Migrating data to Snowflake? Read this before getting started!

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Today, fast moving businesses have become synonymous with data. As the demand and need for advanced, personalised, real-time data continues to increase, many businesses have chosen to rely on Snowflake for data warehousing and management needs. For the uninitiated, Snowflake is a powerful, cloud-based database management tool which is used as the source database by businesses who want to run data analytics, auditing and generating insights.   The need for keeping primary and secondary databases separate is simple - it reduces unwanted complexity and overload on the system while performing big data analytics. Snowflake integrates seamlessly with cloud based solutions like Google Cloud, Oracle and AWS. If you are considering AWS DMS to Snowflake integration, then it could be a step in the right direction to ensure your business intelligence stays ahead of the curve with real-time, accurate and dedicated virtual data servers dedicated to your business needs. In order to load data...
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Understanding data migration to Amazon S3

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For data-centric businesses, migrating data can be a complex yet mission critical task. It requires careful planning, resources and time allocation to ensure a seamless and secure transformation execution. If your business relies on the power of data to make decisions, and if you are ready to migrate to a simple, scalable and secure database management system, then it’s time to consider migration of your business data to AWS S3.   The next question which arises is - how to go about choosing the right tool for a time-taking and complex process like AWS DMS S3 so as to ensure a fully operational, updated and continuous data replication experience. The best part about AWS database migration is that it is in itself a seamless process which offers minimum downtime, and enables you to continuously replicate updated data to the target location during the migration process. However, setting up the migration process, loading data from multiple sources, constantly monitoring it, and ens...
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What is Real-Time Data Replication and its Common Uses

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The process of instantaneously copying data to one or more places as it is being generated is known as real-time data replication . However, there is always some time that elapses between the moment data is generated, and the moment it is copied. This time lag may be in sub-seconds, seconds, or even minutes and is generally referred to as data latency. Hence, strictly speaking, the concept of real-time data replication  is a relative term. Typical areas where real-time data replication is used There is a wide range of use cases for real-time data replication. It is very useful for distributing data to other servers that are used for reporting or application processing. Additionally, real-time replication is optimized for feeding data warehouses, and synchronizing data with remote offices. Another popular use case is feeding business intelligence applications that help analysts and business users to work with it. They get up-to-date information that is housed in the original sy...
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Amazon Web Service and the ETL Tool

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AWS (Amazon Web Service) operates in the cloud and provides a range of services such as database storage, content delivery, and high-performing computing power. One of its critical functions is to facilitate the migration of databases between relational databases, NoSQL databases, or data warehouses, either from on-premises servers to the cloud or between cloud providers. The most optimized method to carry out all these activities is to use the ETL tool for AWS.   ETL is short for Extract, Transform, and Load. It is mainly used to consolidate several databases into a single centralized database or a data warehouse. There are three functions of the ETL tool for AWS. It first extracts data from the source database, transforms the data to match the structure of the intended database, and finally, loads the formatted data into the target database. Since the ETL tool for AWS is fully automated, the database migration is not prone to errors or data loss, resulting in cost savings and hig...
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Why Should You Use the DMS Services of AWS

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Amazon Web Service Database Migration Service is a cloud-based platform. Among the AWS DMS Services provided  are database migration from one cloud provider to another or from on-premises databases to the cloud. There are several reasons why organizations prefer to use AWS DMS services.   First , the source database remains fully functional at all times when migrating with the AWS DMS. Hence, there is no need to shut down systems, a huge advantage for large data-driven organizations. Further, since data is replicated with high availability, several databases can be consolidated into a single petabyte-sized one through data streaming to Amazon S3 or Amazon Redshift. There are two types of database migration with the AWS DMS services. Homogeneous Migration This method is applied when the source and the target database engines, the data codes, data types, and schema structures are similar. Migration using AWS DMS services is  thus a one-step process. After the connection b...
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Migrating Databases with the Amazon Database Migration Service

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Why should you migrate databases with Amazon DMS ( Database Migration Service)? It is because it enables both H omogenous Migrations like Oracle to Oracle or Heterogeneous Migration like Microsoft SQL Server or Oracle to Amazon Aurora. Further, it also replicates data continually to consolidate databases into a data warehouse with petabyte-volume data streamed to Amazon S3 and Amazon Redshift. Benefits of Amazon DMS ·         Users do not have to install additional drivers or applications for migration with Amazon DMS and changes are not required to be made to the source database as the process is started with a few clicks only on the AWS Management Console. Data migration is completed automatically by DMS without human intervention at any stage. ·         It is an affordable service and charges are only for the quantum of computing or storage facilities used. ·         With Amazon ...
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