Data is the core driver of every modern business. It enables and empowers every organisation, small and large, to make mission-critical decisions with ease and accuracy. With the power of data, businesses can make faster, smarter and personalised decisions to stay ahead of the competition curve. The importance of data cannot be overstated, yet it’s not just the storage of data which makes it valuable, it’s the usage of data which makes it critical for business to make informed decisions. As much as having access to data is important for businesses, the inherent value of data isn’t in the information itself, but what can be achieved using that information and the actions and decisions that can arise by making use of data.
This is why businesses are always on the forefront of using the right tools and cutting-edge software solutions for collecting, managing and using data. One such database management platform is SAP which has been in use for decades but is no longer the preferred solution due to better alternatives in terms of speed, scalability and ease of deployment. One such alternative database management platform is Snowflake. In this article, you will learn about the important aspects of SAP to Snowflake data migration.
Snowflake is a cloud-based virtual data warehouse that can be used to store and retrieve your data safely from anywhere. Offered as a SaaS (Software-as-a-Service) product, Snowflake works as a fully managed, end-to-end solution for data warehousing, data analytics, data engineering and data application development.
Due to its highly customizable nature, with Snowflake, any business can easily deploy massive volumes of data in the cloud and structure them as per varying needs and requirements. Due to its ability of supporting concurrent workflows simultaneously, it is a powerful platform for putting data to use, as and when required. Most importantly, Snowflake enables scaling up or down of resources on-demand, meaning businesses can stay agile and respond to changing data needs without causing additional overheads.
Data migration is a humongous task, and one that needs careful planning before execution. Before getting started with SAP to Snowflake data migration, it is important to keep in consideration a few aspects, especially because both platforms are built on different architecture and underlying principles.
The first step is – identify and analyse which databases need to be made available for sync, and which users and applications have access to those databases. One must also keep in consideration few details such as:
- How often is the data tables getting updated
- Which scripts and applications are loading data into these tables
- What are the consumption patterns of these databases
Once you identify the answers to above questions, it is suggested to take a phased approach to move tables, databases and applications from SAP to Snowflake. This can help you isolate unwanted issues early on in the migration process, and avoid significant roadblocks in the migration journey.
Migrating data isn’t a simple task, and it can be very resource and time consuming based on the volume of data stored in your SAP database. Typically, it requires setting up a HANA and Snowflake account, building data extractors from SAP and creating tables in Snowflake for the extracted data. Further, one needs to carefully plan dependencies, backups and cost of ownership before committing to a new database management platform.
Thankfully, there are easier and simpler ways to complete this journey. With tools like Bryteflow, businesses can easily replicate massive volumes of data from SAP to Snowflake at super-fast speeds. Bryteflow fully automates the process of SAP replication to Snowflake with a simple ‘set-and-forget’ approach which requires no coding at any stage of the migration process. Everything is automated to ensure anyone can easily point and click to ensure real-time replication of data from start to finish.
With the advent of digital transformation, the importance of relying on data for making mission-critical decisions is immense. With a powerful, scalable and flexible database management solution like Snowflake, businesses can simplify managing, processing and aggregating data across different functions for analytics and insights.
Bryteflow data replication has been specifically designed with ease-of-use and reliability in mind, to ensure monitoring for data completeness and accuracy. This means your business can easily maintain referential integrity and pinpoint data changes exactly.
If your business is ready to move your data from SAP to Snowflake, then it’s time to get a free trial of Bryteflow’s blazing fast, fully-automated, log-based replication technology. With its zero-impact Change Data Capture technology, Bryteflow ensures minimum impact on source data, ensuring no loss of productivity and performance to your business.
Bryteflow supports flexible SAP connections, including database logs, HANA, ECC, S/4 HANA and SAP data services. What’s amazing is that Bryteflow enables you to automatically merge data from multiple sources. Bryteflow replicates data in real-time with a fully automated process packed inside a user-friendly, intuitive interface.
Further, you can stay on top of the data replication process by monitoring the status of data ingestion and transformation instances. All this without requiring any coding! Get in touch with Bryteflow for your free demo today and simplify your data migration process today.
