FAQ

With over 35 years of leadership in the Database Administration community and over 25 years running Soaring Eagle Data Solutions our team has led projects for startups and fortune 100 companies that include data architecture, migrations, disaster recovery, data security, and performance and tuning. Believe it or not, the staff at SEDS have trained several of their competitors as well as thousands of DBAs across north America and the world.

SEDS’ full on-shore DBA staff excels with highly-regulated data and compliance issues while maintaining optimal database performance.
Additionally, SEDS proprietary software is the best and only in its class for monitoring large data environments and automating alerts to improve response times and proactively stop problems from happening.

Soaring Eagle Data Solutions is headquartered in the Tampa Bay area of the United States. While many of its DBAs are local SEDS employs highly qualified DBAs from across the continental United States and does not use oversees IT support for its managed services clients.

Pricing is created custom for each client and their unique environment. Our Remote Database Managed Services start at $3,000/ month for 24x7 monitoring and emergency support of small environments with 10 hours of proactive / project work, and scale very well for larger clients needing 40 (~$10,000) or even 100+ (~$22,500) hours per month for larger environments or including lots of project work.

Database managed services refer to the practice of outsourcing the management, monitoring, and maintenance of a company's databases to a third-party service provider. The service provider takes responsibility for managing all aspects of the database environment, including hardware, software, security, backups, disaster recovery, performance tuning, availability and more. These DBAs act as your in-house staff, for most purposes, and can be assigned tasks such as indexing, writing queries, and deigning architecture.

Database managed services can help organizations reduce the burden of managing complex database environments and enable them to focus on their core business activities. They can also provide access to specialized expertise and technology, which may not be available in-house.

Database Administration as a Service is using a third-party database administrator to perform tasks such as data architecture review, scalability data warehousing, performance and tuning, and other tasks in your SQL, Oracle, or Cloud data environment. These DBAs are used on a contract / as needed basis.

Remote DBA as a Service is using a third-party database administrator to perform tasks such as data architecture review, scalability data warehousing, performance and tuning, and other tasks in your SQL, Oracle, or Cloud data environment. These DBAs are used on a contract / as needed basis.

When troubleshooting slow applications, the most commonly missed area to review is the database layer. Poor database architecture leads to scalability problems that can throttle your I/O and give poor application response times. Overloaded servers are often victims of poor indexing, badly written queries, and other issues with the architecture.

A data warehouse is a large repository of data to centralize and organize business data. The purpose of this is to use data more effectively for Business Intelligence pursuits, data mining, and other reporting purposes. A data warehouse is used when analysis queries are more important than performance-based applications or transaction processing. When you have large amounts of data and want to use it to transform your business, a Data Warehouse can be a key step.

Database performance optimization refers to the process of improving the speed and efficiency of a database system. It involves analyzing the database and identifying areas where performance can be improved, such as slow queries, inefficient indexing, or inefficient data retrieval methods.
The goal of database performance optimization is to ensure that the database can handle the workload of the application efficiently, with minimal response times and maximum throughput. This can help improve user satisfaction, increase productivity, and reduce costs associated with infrastructure.

Database performance optimization is critical to ensuring that a database system can handle the workload of the application efficiently and meet the performance requirements of the business.

Optimizing queries to make them faster and more efficient by identifying slow or inefficient queries and optimizing their structure, indexing, and execution plan.

Optimizing the indexing strategy to improve query performance, reduce disk usage, and speed up data retrieval.

Upgrading hardware components such as storage devices, processors, and memory to improve database performance.

Optimizing database configuration settings such as buffer size, cache size, and connection pool size to improve performance.

Optimizing the database schema and data model to reduce data redundancy and improve data access and retrieval efficiency.

A cloud data environment is much the same as an on-premises data environment, but the client does not pay for the applicable hardware. Instead, you pay a Cloud provider to handle the hardware and maintain SLAs for your environment’s speed and availability. Cloud Data Environments are, for most intents and purposes, infinitely scalable but that does not mean you can move your SQL or Oracle servers to the cloud and forget to maintain them.

A hybrid cloud is a mixed computing environment where applications are run using a combination of computing, storage, and services in different environments. This helps alleviate many of the costs associated with handling massive amounts of data while retaining the security and control over integral components of your IT infrastructure.

SQL Server performance and tuning is a specific skillset for Database Administrators to improve and accelerate the speed of their SQL Server environment. This skillset includes tuning queries, proper indexing, writing proper data architecture, and understanding root cause analysis of data constraints including I/O, deadlocks, and server overload. In general, the idea is to increase the speed of which queries, jobs, and reports are running in SQL Server by improving the underlying code instead of relying on expensive hardware solutions to improve application speeds.
Important note: Not all DBAs are specifically trained for performance and tuning.

Database management refers to the practice of organizing, storing, and retrieving data using specialized software called a database management system (DBMS). It involves the design, implementation, and maintenance of databases that store and manage various types of data, such as customer information, financial records, inventory data, and more.

A database management system enables users to create, read, update, and delete data in a database. It provides various features, such as data indexing, querying, and reporting, which make it easy for users to access and manage data efficiently.

Effective database management involves ensuring data accuracy, security, and reliability, as well as optimizing database performance and ensuring data availability. It is an essential part of modern business operations as it enables organizations to make data-driven decisions and improve their overall efficiency and productivity.

Database Security are the steps taken to improve the real security around the data layer. This often goes above the minimum requirements needed for HIPAA and GDPR type compliances. Database security includes encrypting the actual data layer, implementing data governance protocols to limit access, and constant monitoring/