Expert Advice: Page
Practical guidance from industry experts on Data
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Evaluate and choose from the top 10 data profiling tools
Any effective data quality process needs data profiling. Evaluate key criteria to select which of the top 10 data profiling tools best fits your needs.
George Lawton • June 7, 2024 -
Data lake governance: Benefits, challenges and getting started
A data lake that isn't well governed might become more of a swamp. Explore the key benefits and challenges of data governance in a data lake, plus initial steps to take.
Anne Marie Smith, Ph.D. • June 6, 2024 -
Managing databases in a hybrid cloud: 10 key considerations
To manage hybrid cloud database environments, consider business and application goals, consistency, configuration management, synchronization, latency, security and stability.
George Lawton • May 23, 2024 -
10 best practices for managing data in microservices
Data architects managing loosely coupled microservices applications need to make the right decisions about databases, data ownership, sharing, consistency and failure recovery.
Jeff McCormick • May 21, 2024 -
Disaster recovery in healthcare: Free plan template and overview
Healthcare organizations handle critical, sensitive data in their IT infrastructures. They must protect those infrastructures from disruptive events with a disaster recovery plan.
Paul Kirvan • May 20, 2024 -
Data profiling vs. data mining: Why you need both
Data mining and data profiling have different roles. Using one without the other is not an option for data management operations that want quality data and usable insights.
Maria Korolov • May 10, 2024 -
How to improve analytics maturity
Improve analytics maturity with advanced analytics capabilities and the proactive use of data. Navigate cultural challenges to progress to higher maturity levels.
George Lawton • May 10, 2024 -
When is multi-cloud disaster recovery the right choice?
A multi-cloud disaster recovery strategy has numerous benefits, including enhanced resilience. It also brings in several technical and organizational hurdles for IT teams.
Stuart Burns • May 2, 2024 -
Develop a backup KPI to improve performance
Key performance indicators help ensure that IT teams meet the needs of the business. A backup KPI demonstrates effective data protection to both customers and management.
Paul Kirvan • May 2, 2024 -
The 5 components of a DataOps architecture
Reaping the benefits of DataOps requires good architecture. Use five core components to design a DataOps architecture that best fits organizational needs.
Vincent Granville • April 29, 2024 -
AI boosts efficiency in data management
AI can automate tasks across every aspect of the data management process, enabling data teams to focus on models, not labeling and graphing.
Mary Pratt • April 26, 2024 -
Open source vs. proprietary database management
Open source and commercial databases are alternative options to help streamline data management processes. Examine the pros and cons of each approach.
Mary Pratt • April 22, 2024 -
7 steps to create a data loss prevention policy
Data loss prevention is an ever-changing process of proactive and reactive protection and planning. Read on to learn how to set up a successful DLP policy.
Donald Farmer • April 19, 2024 -
8 data protection challenges and how to prevent them
Businesses contend with a combination of issues spawned by data overload, privacy regulations, access rights, cyberattacks, cloud environments, generative AI and human error.
Kathleen Richards • April 17, 2024 -
Data protection vs. security vs. privacy: Key differences
Data protection, privacy and security might look alike but their differences can make or break a comprehensive compliance program to collect, manage, access, erase and secure data.
Stephen Bigelow • April 15, 2024 -
Data protection vs. data backup: How are they different?
They might be viewed as separate functions, but data backup should be part of an overall data protection strategy to thwart ransomware and comply with stringent privacy laws.
Kathleen Richards • April 4, 2024 -
How to conduct a data privacy audit, step by step
The vital importance of a data privacy audit can't be underestimated in today's climate of proliferating customer data, more stringent regulations and sophisticated cyber threats.
Jerald Murphy • April 3, 2024 -
Vector vs. graph vs. relational database: Which to choose?
Vector databases enhance the use of generative AI. Organizations should consider how vector capabilities stack up vs. graph and relational databases before deciding which to use.
George Lawton • April 3, 2024 -
How to build a data protection policy, with template
Enterprises can't afford to operate without a sound data protection policy that specifies business goals, stakeholders, regulatory obligations, data classifications and access.
Stephen Bigelow • March 22, 2024 -
Generative AI capabilities increase data analytics value
GenAI can enhance data analytics uses. Automation and synthetic data let data analysts generate better quality insights more quickly and cost-efficiently than ever before.
Donald Farmer • March 22, 2024 -
Use these 10 steps to successfully build your data culture
Building a data culture starts at the top level of any organization. These 10 steps can help guide leadership through the key aspects any data culture needs to succeed.
Bill Schmarzo • March 21, 2024 -
4 disaster recovery plan best practices for any business
Disaster recovery plans are unique, built around an organization's size, type and industry. However, there are some key best practices that all businesses can implement.
Stuart Burns • March 20, 2024 -
On-premises vs. cloud data warehouses: Pros and cons
Data warehouses increasingly are being deployed in the cloud. But both on-premises and cloud data warehouses have pluses and minuses to consider, as explained here.
Chris Foot • March 18, 2024 -
Cloud DBA: How cloud changes database administrator’s role
Cloud databases change the duties and responsibilities of database administrators. Here's how the job of a cloud DBA differs from what an on-premises one does.
Chris Foot • March 15, 2024 -
Data management trends: GenAI, governance and lakehouses
The top data management trends of 2023 -- generative AI, data governance, observability and a shift toward data lakehouses -- are major factors for maximizing data value in 2024.
Sean Kerner • March 14, 2024