Empower enterprise stakeholders to use data assets strategically for data operations, data protection and data governance
Achieve identity-centric cybersecurity to protect the people, applications and data that are essential to business
Conquer your next migration (now and in the future) by making it a non-event for end users
Discover, manage and secure evolving hybrid workforce environments
Detect, defend against and recover from cyber attacks and insider threats
Speed data recovery and reduce storage costs
Check out all the recordings from the Data Operations track of the Quest Data Empowerment Summit. These sessions demonstrated how smarter data operations can modernize infrastructure, optimize performance and speed application delivery.
Industry experts offered their insights on improving SQL Server performance, migrating Oracle to the cloud, managing increasingly complex hybrid database environments and automating development tasks. All these initiatives to improve operational efficiency can deliver increased value to the business.
Smarter Data operations to modernize infrastructure, optimize performance and speed applications delivery.
As companies scramble to transform their business operations and IT environments to keep pace with global changes such as the rapid growth of data, employee work-from-home, adoption of cloud services and DevOps, executive leadership worries about how to reconcile the competing need to democratize data access, secure personal and sensitive information and optimize data operations in a hybrid environment. An organization’s data is its most important asset and it is becoming more critical for businesses to improve the ways they can gain important insights from their data in order to make the right strategic decisions to drive growth. This session will show you how you can streamline your data operations in an increasingly diverse data ecosystem.
As companies transition to DevOps CI/CD processes in a hybrid on-premises/Azure cloud environment, development tasks need to be automated and orchestrated in order to improve operational efficiency. The ideal SQL Server and Azure SQL database development solution should be able to provision, QA, test and document code and data and automatically generate accurate deployment scripts. It should be able to orchestrate database changes into your DevOps CI/CD pipeline on-premises and in Azure to dramatically shorten release cycles. Development teams also need access to production data for effective testing, in a way that protects data privacy and ensures regulatory compliance with GDPR, CCPA and others. This session will show how you can both accelerate and secure your SQL Server CI/CD pipeline.
An experienced DBA knows that everything works fine when things are under control. However, as soon as the workload increases or a spike in traffic arrives, any server starts showing signs of stress. It is a good idea to keep a check on the server configurations and settings so no matter how workloads change (concurrent threads, high CPU/IO, memory queries, parameter sniffing), the server always runs optimally. In this fast-paced, demo-oriented session we will see a few critical and the most important configuration settings, that once enabled instantly improve performance to SQL Server. Our goal is to have no outages under a heavy workload.
Many companies have data stored in an Oracle database and are at various stages on a journey to cloud computing. Learn how Quest tools and expertise can help you move, manage and better understand your data through all phases of this journey, from “just considering” to “cloud native.” Learn how to analyze your data before you move it, how to migrate data to the cloud without downtime or risk, and how to optimize your cloud resources.
Companies are accelerating their business intelligence initiatives in order to extract maximum business value from their data. The democratization of data has opened the door for businesses to unlock new insight with more eyes, but has also caused new challenges in data security and governance. Technical users are becoming more business-oriented and are trying to make sense of the data. Business users are learning new technical skills but causing performance and technical issues. This session will discuss the pros and cons of opening your data to more users and what steps to take to empower the right people, with the right data, the right way.