The business perspective of data is changing rapidly. It’s crucial to leverage the data insights for critical business decisions by integrating the data platforms with advanced analytical tools. Organizations manage siloed databases such as CRM, inventory, HR, distribution, etc., with distinct versions and vendors. Or may have data warehouses with ETL jobs that consumers hours to produce data insights. This legacy architecture requires a lot of effort to manage and visualize data sets for business purposes.
Data platform modernization can be the accelerator for every business transformation to make successive decisions better. The major shift to cloud data platforms occurs due to flexibility in terms of compute scalability & pricing, maturity in data-driven models, less administration dependency, reliability & better disaster recovery management.
Let’s get into the details of these key reasons to modernize data platforms!
Legacy data warehouses lag in data processing and system resources. These on-premises data platforms require administrative support for maintenance and other activities. Even the automated ETL jobs accounts for almost 10-15 hours in the legacy data platforms.
The maintenance patches are built and deployed only after critical glitches, there are no proactive escalation in terms of on-premises data warehouses. With considerable delay in data processing, the business gets delayed or inappropriate analytical reports.
Cloud data platforms have enhanced support features for data maintenance. Some of the common auto-resolving activities are:
Database engineers can work on high-potential tasks by automating these routine tasks.
Most of the cloud platforms offer a pay-as-you-go pricing model. i.e., pay for what you use, no hidden or integrated charges for unused resources. The legacy data systems require you to spend on infrastructure, maintenance, resources, and other supporting costs. Some of the modern data platforms such as Snowflake offer user-choice of compute resources based on their workload activities. So, the users can scale up or scale down their compute resources based on bulk load activities and pay only for consumption. These features on the modern data platforms are enticing over the legacy service bundles.
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With on-premises data warehouses, you utilize legacy data manipulation language such as SQL to process the data sets. They have restricted capabilities of utilizing advanced analytical, AI, and ML models for decision making process. Legacy data platforms take a back seat in understanding the data sets, leveraging it for future purpose and matured data models. This leads to losing potential market as your competitors will be rendering advanced business solutions by bringing in ML & AI.
The goal of modernizing data platforms is to leverage every data set for appropriate business decisions. The modern data platforms easily integrate with advanced analytical tools such as Spark, Power BI, Tableau, Azure Synapse Analytics to grab real-time analytics. These analytical reports can help organizations in concluding market decisions, mitigate risks, and understand end-user behaviour. With this accurate data intelligence in hand, the organizations can stay ahead in meeting the market trends and personalized user experience by leveraging ML, AI, and other advanced models.
Modern data platforms offer elastic scalability in terms of storage and compute instances. If you are maintaining a legacy data warehouse, your DBA’s need to plan and tune the performance of databases before bulk loads and other activities. Switching to modern cloud platforms saves your time & efforts in planning and working around database scalability activities.
Cloud platforms are in various geographical locations for better reliability and recovery purposes. Most of the modern data platforms align with security governance, ACID-compliant transaction integrity, and encryption capabilities with advanced authentication & authorization features. As add-on services, the cloud data platforms offer automated backup and recovery if there are any sudden data losses. With these features, your organization saves costs in terms of personnel, certifications, maintenance, and other disaster recovery activities.
AVASOFT, the trusted partner for leading cloud data platforms such as Azure Synapse, Snowflake & Databricks has served around 25+ fortune companies to shift into a modular architecture. With years of experience in data platform modernization, our data engineers have crafted proven prefabs to help you migrate the infrastructure seamlessly with optimal business continuity.
Experience better performance, automation, reliability, scalability, and data insights by modernizing your data platform!
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