FAQs

Data wrangling, also known as data munging, is the process of cleaning, transforming, and organizing raw data into a usable format for analysis. It involves various tasks such as removing inaccuracies, filling in missing values, and reformatting data to help make it consistent and prepared for advanced analytics. High-quality data is the foundation for reliable insights and informed decision-making. Data

Implementing data masking for privacy protection in databases can help to safeguard sensitive information. Specifically, this strategy involves creating a version of data that looks structurally similar but hides sensitive information, ensuring that unauthorized users can’t access real data.   Begin by identifying the sensitive data in your database. Common examples we regularly work to protect against threats include: personal identifiable

Data virtualization is a technology that allows data from disparate sources, such as databases, cloud storage, and web services, to be accessed and manipulated as if it were a single, unified data source. In managed database environments, this technique typically involves the use of software or platforms that abstract the underlying data sources and present them to users or applications

Protecting your database and preventing disarray in the case of disaster is an essential part of your data security strategy. When it comes to safeguarding your business against disruptions, understanding the difference between disaster recovery and business continuity is crucial. Unpack strategies to confront database disruptions with confidence in our blog post on minimizing downtime.  What is Disaster Recovery?  The

Improving the speed and efficiency of your database queries can involve implementing various strategies and optimization techniques. One approach is to leverage indexing, a technique that accelerates query performance by allowing the database to locate and retrieve specific rows more quickly, particularly in large datasets. Careful consideration of which columns to index is essential to strike a balance between query

Monitoring and addressing database performance challenges is crucial for maintaining optimal functionality. Robust data management strategies help to position your database and your business for optimal success. Implementing proactive strategies can have a significant impact on the health and performance of your environment:  By incorporating these proactive strategies, you may be able to more easily identify and address database performance

Data integrity refers to the accuracy, consistency, and reliability of data throughout its lifecycle. Regular maintenance is crucial to ensure that information is trustworthy and reflects the true state of the system or database. Inaccurate or inconsistent data can lead to faulty decision-making, operational errors, and a lack of trust in the overall information infrastructure.  Several best practices can be

What is a relational database?  A relational database is a type of database in which data points are connected to each other. Inside a relational database there are rows set up in tables. Each row in the table is a record with an ID (the “key”) and each column in the table holds data attributes. Structured Query Language (SQL) is

When a DDL and DML run into a lock in Oracle, the ORA-00054 error appears. An ALTER SESSION command allows the DDL to succeed. When encountering an ORA-00054 error in Oracle, it indicates that the table you are attempting to access is currently locked by another query. Typically, waiting for a few minutes and reattempting the query resolves the issue

Business process reengineering (BPR) is the redesigning of business processes to achieve significant improvements in performance, productivity, and quality. BPR can help a CIO achieve dramatic improvements in productivity, cycle times, quality, and employee and customer satisfaction.  Examples of Business Process Reengineering These are just a few examples of business process reengineering initiatives that organizations may undertake. The key is