It goes without saying that Big Data and Analytics are critical in today’s world. The rate of data acquisition is increasing dramatically every year and so is the amount of data created. As a result, the IT industry has begun to see continual developments in order to successfully handle the growing data challenges.

Businesses are increasingly focusing on storing and managing data on a strong platform that can efficiently manage to expand data volumes and withstand significant analytical workloads as it becomes more vital to offer real-time and accurate analytics on data. Cloud Data Warehousing, which was just a few years ago in its infancy, has already established itself as the solution of choice for many enterprises seeking to better manage their data and draw insights from it. A cloud data warehouse is a consolidated data repository hosted in the cloud that holds data from a variety of sources, including operational and transactional databases, business applications, system logs, and other internal and external data sources. It is built on the MPP architecture, which distributes data and conducts parallel processing over numerous servers to increase efficiency.

Why modern cloud data warehousing solutions?
The corporate world has become more competitive. To stay relevant, enterprises are progressively shifting away from traditional on-premises solutions and toward more sophisticated cloud-based data warehouses. 

• There is no need to purchase expensive physical infrastructure and recruit a team of specialists to maintain it in-house.
• Cloud warehouses are simpler to set up and maintain.
• The lack of capital expenditure and the minimal operating expenditures are significant aspects.
• Scalability opportunities are now more affordable and easy.
• Modern warehouse architecture runs complicated analytical queries at a significantly quicker rate due to massively parallel processing (MPP) 
• Cost-cutting is immense. Cloud providers offer low costs for entry-level projects instead of a large up-front expense. Long-term storage might save you a lot of money in some circumstances. ​
• Options for a simpler deployment
• Analysts can access the data from several sources and conduct improved analyses rapidly by simply referring their BI tools to the cloud data warehouse.
• Scale-up / down based on demands and usage
• Improved backup and restore methods
• Excellent test/dev environment
• Reduce costs by pausing and restarting the environment as needed.

The cloud solutions use MPP architecture, which distributes data and conducts parallel processing over numerous servers to increase efficiency. In this blog, we’ll look at different cloud-native data warehousing solutions and their comparisons. All of these solutions are completely managed services that relieve clients of the burden of infrastructure administration and allow them to focus on their data. While these technologies are all designed to handle large amounts of data and strong workloads for analytical processing, there are notable differences and similarities in their strategies.

If you need to transfer your data to the cloud, any of the data warehouse companies listed above are viable options. The above table should assist you in determining whether or not a certain end-to-end solution meets your needs. Nonetheless, some businesses may find it challenging to choose which solution best fits their operations or to figure out how to install cloud data warehouses on their own. It is advisable to seek expert assistance from third-party experts with hands-on experience in data warehousing deployment and consultation.

DS Migrate: Making Cloud Migration Simple for You
Achieving significant results from data warehouse migration to the cloud requires expert guidance. Our expert data team will organize, prioritize, and automate the entire cloud migration process for you effortlessly. Our goal is to redefine Enterprise Data Architecture to deliver customer-centric digital experiences. 

With DataSwitch’s cost-effective, no-cloud platform and accelerated solutions for cloud migration, we empower enterprises to produce maximum value with tailored outcomes. We reduce time-to-market by delivering quicker insights thanks to improved automation, cloud data expertise, and one-of-a-kind schema development.  

DS Migrate leverages data modernization techniques to transform legacy data to cloud-native. Teradata, Netezza, MySQL, Oracle, Microsoft SQL Server, IBM DB2, Informatica, SSIS, and IBM DataStage are examples of legacy systems. PySpark, Databricks, Matillion, SnapLogic, AWS Glue, Talend, Snowflake, AWS Redshift, Google BigQuery, Exasol, and others are examples of cloud systems.

This data modernization toolkit leverages advanced automation to migrate schema, data, and processes   from legacy databases to modern databases with speed and reliability. Get your enterprise’s cloud-driven data transformation journey running at light speed with DS Migrate.

Why choose DS Migrate?
Intelligent assessment & evaluation –We conduct in-depth volumetric analysis of source architecture (legacy system) to assess the data complexities. We then compare multiple cloud platforms and evaluate which target system is better for the organizational infrastructure and requirements. We also conduct PoT (Proof of Technology) to understand multiple parameters like performance, time taken to load the data, and other factors that can lead to maximum efficiency. Experts at DataSwitch conduct usage analysis that segregates data as hot (needed immediately) and cold (not needed immediately). With this analysis, customers are recommended best practices that can reduce the cost and efforts of migration .

Smart Schema Re-design – Say goodbye to complicated ‘Schema structure’ and say hello to an easy-to-use, intuitive, and self-serviceable automated schema redesign. Redefining the schema by introducing business rules that support smart and seamless operations.

No Touch Data Migration – Automate the entire data migration process from legacy to any modern data platform and say no to manual intervention using a simplistic drag and drop UI. This reduces complexity and boosts productivity while enhancing the efficiency of the process.
There are 3 Types of Cloud Migration we offer:

• As-IS (lift & Shift migration)
• Re-platform (Change of Technology & Infrastructure)
• Re-Engineering (Change of Technology, Infrastructure, and underlying Data Structure)

Seamless process conversion – Convert your legacy data scripts and ETL tools to modern database scripts and ETL tools using a “No-Touch Code” easy online interface. With our process conversion, you are also provided with, tool to tool, script to tool, tool to script, or script to script translations as well.

Automated Data Validation – An in-built tool called ‘Data validator’ compares the data from the source and target systems to ensure that all the data has been successfully converted.

Code to Document – Earlier the documentation had to be produced by the developers themselves. Thanks to the DS Migrate tool, the entire source code is transformed into target code seamlessly. Along with the code you also get access to the documentation with metadata information, entity relationships, functionalities, Data Lineage, etc 

Switch to the Cloud with DataSwitch