Why Data Movement is a Core Competency for Any Digital Business
Data movement is vital to all digital enterprises. So, no matter what industry you’re in, chances are we have a tool for you! The term data movement refers to the effort a business makes to move sensitive and valuable data from one system to another. Modern digital enterprises use a variety of technologies to perform such complex operations.
These technologies include change data capture (CDC), data replication, extract, load, transform (ELT), and extract, transformation, load (ETL) queries to ensure successful data warehousing and data migration.
Since your company’s application landscape and IT infrastructure are constantly upgrading and changing, your organization requires more relevant and accurate data from various data sources.
In other words, your data-driven business needs secure and efficient data movement solutions to seamlessly and safely move data across your existing systems without disturbing your business operations.
Data replication, data synchronization, and data movement are all complementary techniques of data integration. When you combine these data integration methods, you can create a strategy for gathering new data to keep your cloud systems, big data, data warehouse, and databases up to date.
Top reasons to move data
Comprehensive data transformation and movement capabilities are vital to ensuring the successful digital transformation of your business. These capabilities also help extend and modernize your entire IT operations.
The first step is determining the best data movement tools to seamlessly shift your data from traditional legacy platforms and systems to the cloud environment. That’s where you’ll need an ELT query engine to make sure your data integration process goes as smoothly as possible.
The process of data integration allows you to gather data from multiple sources and unify it in a single data store. That allows your business to complete a wide range of hybrid integration operations, such as shifting data from transactional databases to a data lake or big data system, transforming and connecting legacy databases to new data warehouses, and more.
Since the entire point of a data movement is to make your data instantly accessible, more accurate, and safer, there are many reasons why digital businesses should move their data. Let’s see some of the most important ones.
If you need more efficient use of distributed resources, faster analytics at multiple locations, or data replication of a database for disaster recovery, data movement can help achieve these goals quickly and efficiently.
Cloud data warehousing
In the data-driven world, businesses need to know that their data warehouses contain the most relevant, up-to-date data from across their organization, including traditional platforms and legacy databases.
They need to ensure this without disturbing their ongoing operations, underlying systems, and uptime. Data movement strategies can help an organization move data to the cloud and transform its legacy data sources into a cloud data warehouse environment.
Hybrid data movement
Digital businesses need to learn about data movement methods to quickly shift data between cloud services and on-premises systems. It allows them to improve their capabilities to balance business continuity, performance, and innovation.
Your organization can benefit from on-demand flexible services by moving on-premises information to the cloud to get more actionable insights and improve decision-making. It also allows them to easily shift data from cloud applications to the mainframe for more complete and accurate information in their system.
Cloud data lakes
Since digital businesses are frequently required to move data to stay relevant and competitive in the online business environment, they can rely on data movement solutions to move their transactional databases to either a data lake or big data environment.
The more your databases grow, the more you need proactive solutions for ensuring your growth continues. Data movement solutions allow you to tap into advanced scheduling options to proactively manage the expansion of your databases while ensuring your operations keep running. They can also enable future audits and traceability regarding compliance with data capturing regulatory guidelines.
How data movement benefits digital businesses
Now that you know why data movement is so important, let’s see how it can help your business.
Integrate all your data sources
Synchronize, replicate, and move your data seamlessly from an array of databases from main platforms such as the desktop, Windows, Linux, and UNIX, by using top data movement solutions that provide database adapters to ensure high-end SQL connectivity.
Shift data seamlessly
Digital businesses have a wide range of data movement solutions at their disposal for synchronizing their non-relational and legacy data sources with cloud-based data warehouses without any disruptions to their ongoing systems.
Data replication in real-time
It is paramount for businesses to be able to keep their data movement activities efficient, including the option to update only the data records that have changed. Data movement solutions allow organizations to replicate, transform, and accumulate data from a wide range of sources and move them to an array of target data systems, such as digital platforms, cloud, big data, data warehouses, and databases.
Synchronize data efficiently
The most recent data movement tools offer a variety of transformation options to give digital businesses full control of:
- Setting up automatic email event notifications
- Launching pre and post-synch tasks
- Scheduling full or incremental data movements
In other words, such solutions allow your organization to scale your data synchronization operations on-demand and easily harvest any changed packages of data for more efficient incremental updates.
Data movement is a simply irreplaceable core competency for any digital business today due to its immense power and the wide range of top benefits. From scaling of resources and building customer bases to automating data transformation and synchronization, data migration isn’t an option anymore – it is a necessity that can make or break a business.