Data lake management enables businesses to securely, consistently, and efficiently deliver and use data stored in data lakes every day. It makes data accessible, and with data continuously flowing in and out from all the apps and systems they use, it helps businesses keep the data accurate and up to date.
To keep this constant stream of accurate information running smoothly, your business should follow a few best practices for data lake management.
Best Practices for Data Lake Management
While a data lake is an incredible storage tool for businesses to store and use data, people often assume it can run seamlessly on its own. However, some work, tools, and oversight are still needed to avoid data lakes becoming data swamps.
To effectively manage your business’s data lake and keep accurate data flowing, here are some helpful guidelines.
Identify business goals
Before jumping into any other part of the process, your team must decide what your needs and goals are and how data management can support those needs.
Choose your tools and software
After defining needs and developing a plan, you need to find the right tools that can effectively help you accomplish your goals. Often, people want efficient, real-time, cross-channel information viewing and editing capabilities along with automation for much of the data management process. Tools like eOne’s virtual integrator, Popdock, can do all of that and easily handle large volumes of data.
Day-to-day data management approach
Instead of placing data management on one employee or department, there should be consistent policies and workflows in place for everyone to practice. This also enables your business to handle large amounts of data without a hitch.
Data governance and security
For any type of data management, policies should be put in place for data security, quality, and usage. This can help avoid data swamps of unusable information.
Secure data
To secure data, it should always be encrypted. Part of securing the data process also involves proper access control among individuals and departments. Role-based access control (RBAC) makes sure the people who need specific data have it readily available.
Businesses deal with large amounts of sensitive information. When bringing in data, personally identifiable information (PII) should be removed to comply with regulations such as GDPR and CCPA.
Data quality, validation, optimization, and lifecycle
To keep data clean, accurate, and valuable, data auditing and cleansing should be done before it’s stored in the data lake. Using verification tools can help ensure process consistency.
To lower storage costs and keep things well organized, use automation tools to determine which data should be retained, archived, or deleted.
Set up automated data cataloging/metadata management
Data should be easy to discover and locate. Using metadata to catalog and tag correctly along the way can prevent headaches and wasted time in the future.
System integration
Most businesses use multiple systems, apps, and databases every day. Integrating it all can seem like a headache or too complex and expensive to deal with. However, to simplify your integration and data lake management, you don’t need to hire a data engineer or specialist.
Whether you need to access your data from a data lake from multiple apps, migrate historical data to your new system, connect and work amongst multiple cloud-based apps, or perform seamless integrations from your on-prem systems to a cloud-based app, Popdock can provide the support you need.
Reach out for more information
Access external data in any of your apps and manage your data lake with ease. Learn how to increase accessibility and efficiency by using Popdock as your data access interface and virtual integration tool.
To learn more about using Popdock, click here for a more in-depth look at tools and software for data lake management.
Contact our sales team at sales@eonesolutions.com for more personalized help in answering your questions. They are always eager to provide help and answers for your data access and migration needs.
