Patch management is a critical and time consuming task for many database administrators. We will present our experience building the Cloud Control 12c (CC12c) infrastructure for the Health Care Quality Improvement Systems (HCQIS) of the Centers for Medicare and Medicaid Services (CMS). We will focus on the lessons learned and best practices for patching Oracle…
- Quest Customer Learning Team
- Whitepapers & presentations
- 5/27/15
Patch management is a critical and time consuming task for many database administrators. We will present our experience building the Cloud Control 12c (CC12c) infrastructure for the Health Care Quality Improvement Systems (HCQIS) of the Centers for Medicare and Medicaid Services (CMS). We will focus on the lessons learned and best practices for patching Oracle…
- Quest Customer Learning Team
- Whitepapers & presentations
- 5/27/15
Patch management is a critical and time consuming task for many database administrators. We will present our experience building the Cloud Control 12c (CC12c) infrastructure for the Health Care Quality Improvement Systems (HCQIS) of the Centers for Medicare and Medicaid Services (CMS). We will focus on the lessons learned and best practices for patching Oracle…
- Quest Customer Learning Team
- Whitepapers & presentations
- 6/19/15
Patch management is a critical and time consuming task for many database administrators. We will present our experience building the Cloud Control 12c (CC12c) infrastructure for the Health Care Quality Improvement Systems (HCQIS) of the Centers for Medicare and Medicaid Services (CMS). We will focus on the lessons learned and best practices for patching Oracle…
- Quest Customer Learning Team
- Whitepapers & presentations
- 6/19/15
Patch management is a critical and time consuming task for many database administrators. We will present our experience building the Cloud Control 12c (CC12c) infrastructure for the Health Care Quality Improvement Systems (HCQIS) of the Centers for Medicare and Medicaid Services (CMS). We will focus on the lessons learned and best practices for patching Oracle…
- Quest Customer Learning Team
- Whitepapers & presentations
- 6/19/15
Did you notice that many navigation apps can suggest you in real time to deviate from the initial route because of traffic or accidents?It's pretty cool right? You wanted to take 5th but there is an accident so your initial plan doesn't look so good anymore once you hit the road.Oracle 12c can do the…
- Quest Customer Learning Team
- Whitepapers & presentations
- 4/03/17
Did you notice that many navigation apps can suggest you in real time to deviate from the initial route because of traffic or accidents?It's pretty cool right? You wanted to take 5th but there is an accident so your initial plan doesn't look so good anymore once you hit the road.Oracle 12c can do the…
- Quest Customer Learning Team
- Whitepapers & presentations
- 4/03/17
Before Oracle introduced dual format memory architecture, it was very challenging to find the best approach to accelerate the performance of OLAP and OLTP in the same database. We witnessed two types of DBMS in the market, columnar oriented and row-major oriented. Columnar oriented DBMS is treated as a proven practice for traditional Data Warehouse, however the pure columnar format is not suited for the real time analytics demanding on high volume transactional data. The traditional row-major DBMS is suited for OLTP workloads, however to retrieve high performance analytics, it requires analytic indexes, such as Oracle bitmap indexes to achieve this goal. Additionally, the overhead of index maintenance is expensive and bitmap indexes are not recommended for high transactional tables. The new Oracle 12c In-Memory option brings the dual format memory structure into one single database. The mixed OLTAP solution combining with the rapid advancement of hardware system can bring the data processing to a dramatic fast speed and a much higher scalability.
- Quest Customer Learning Team
- Blogs
- 7/17/17
Before Oracle introduced dual format memory architecture, it was very challenging to find the best approach to accelerate the performance of OLAP and OLTP in the same database. We witnessed two types of DBMS in the market, columnar oriented and row-major oriented. Columnar oriented DBMS is treated as a proven practice for traditional Data Warehouse, however the pure columnar format is not suited for the real time analytics demanding on high volume transactional data. The traditional row-major DBMS is suited for OLTP workloads, however to retrieve high performance analytics, it requires analytic indexes, such as Oracle bitmap indexes to achieve this goal. Additionally, the overhead of index maintenance is expensive and bitmap indexes are not recommended for high transactional tables. The new Oracle 12c In-Memory option brings the dual format memory structure into one single database. The mixed OLTAP solution combining with the rapid advancement of hardware system can bring the data processing to a dramatic fast speed and a much higher scalability.
- Quest Customer Learning Team
- Blogs
- 7/17/17
This presentation is a case study that will demostrate that implementing Virtual Private Database and Database Data Vault allows data access restriction to sensitive data at table row level from all unauthorized privilged user, including SYS. Why still allowing SYS user to access and perform required database functions. Virtual Private Database (VPD) secures data from…
- Quest Customer Learning Team
- Whitepapers & presentations
- 4/03/17