Impetus Technologies

Developing comprehensive data lake architecture is one of the best ways to enhance operational efficiencies while having a unified source of data truth. Firms can analyze customer information in real-time, extract meaningful trends & insights, and remain compliant to industry norms/regulations in a highly robust manner. As it relates to data lake implementation, preserving data integrity in its native form is critical. Additionally, it is important to handle data sources correctly while ensuring that sensitive information is protected when accessed or stored. There are several bottlenecks that enterprises must address, which is why following the four strategies below is critical to implementing a robust data lake successfully.   Outlining business requirements early While data lakes are designed to hold large structured, semi-structured, and unstructured data quantities, it is best to create a data lake that fits   your business requirements. Enterprises need to ana...

  In today’s fast-paced world, enterprises consider data migration from legacy to modern systems to improve productivity and efficiency. However, abandoning a system and moving onto another involves many challenges like old data retention, adjusting the new system with the existing ecosystem, etc. With cloud migration services , multiple data sources can be consolidated into one and made the source of truth for all terms. By the time an organization decides to begin its data migration journey, it already has clear goals and a tentative budget in mind. However, the real challenge lies in choosing the apt migration solution. Some factors that need to be considered when choosing a migration solution are: Size of Data That Needs To Be Migrated: Only those organizations that want to migrate a small amount of data that doesn’t impact the decision making can opt for manual migration. However, when legacy, data context, comments, and attachments are crucial for business, it is best to ...