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.
- 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.
| Vendor | Snowflake | Redshift | BigQuery | Azure Synapse |
|---|---|---|---|---|
| Architecture | Hybrid | Shared-nothing MPP | Shared-nothing MPP | Shared-nothing MPP |
| Server Mgmt | More serverless | More self-managed | Serverless | More self-managed |
| Deployment | Cloud-based | Cloud-based | Cloud-based | Cloud-based |
| Performance | High | Good | Good | High |
| Security | Highly secure | Highly secure | Highly secure | Highly secure |
| Integrations | Data integration, BI, and analytics tool | Data integration, BI, analytics tool, and AWS | Google workplace, BI and analytics tool | Microsoft software, data integration, BI and ML tools |
| Scalability | Scales horizontally and vertically | Scales horizontally and vertically | Scales horizontally and vertically | Scales horizontally and vertically |
| Implementation | Intuitive, simple, easy-to-use. | Requires PostgreSQL knowledge | User-friendly, requires SQL knowledge | Ease of usage, requires SQL/Spark |
| Pricing | On-demand, pre-purchase | On-demand, managed storage | Flat rate, on-demand | Compute charge, storage charge |
| Data loading | ETL/ELT, streaming support | ETL/ELT, streaming support | ETL/ELT, streaming support | ETL/ELT, streaming support |
| Data recovery | Yes | Yes | Yes | Yes |
| Use cases | Easy deployment and configuration | Large data sets processing | Variable workloads | Enterprise Data warehouse |
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.
DS Migrate leverages data modernization techniques to transform legacy data to cloud-native. 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 to assess data complexities. Experts at DataSwitch conduct usage analysis that segregates data as hot (needed immediately) and cold (not needed immediately).
- 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.
- No Touch Data Migration: Automate the entire data migration process from legacy to any modern data platform using a simplistic drag and drop UI.
- 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.
- Automated Data Validation: An in-built tool called ‘Data validator’ compares the data from the source and target systems to ensure success.
- Code to Document: The entire source code is transformed into target code seamlessly, with metadata information, entity relationships, functionalities, Data Lineage, etc.