Oracle Autonomous Data Warehouse

I used to use it in my previous role when I was working as a Spatial Data Analyst. I mostly used it to query and model GIS data and to write spatial queries to extract meaningful information. We used a GIS product that was only compatible with oracle and TOAD. I had some fun learning/experiences with it.

Oracle Autonomous Data Warehouse was tested for specific reporting use cases. It was tested to see how efficient it is when compared to our current existing solution. Also, we have a requirement to keep the database up and running 24x7. The autonomous data warehouse setup and maintenance are very simple and easy, it will help to manage resources efficiently.

Oracle Autonomous Data Warehouse is a fully managed database that’s tuned and optimized for data warehouse workloads, so we decided to give it a try with a POC. It combines the market-leading performance of Oracle Database with the ease of Autonomous Database and is self-driving, self-securing, and self-repairing. Our objective was to spend our time focusing on delivering applications to solve our business problems. One of the hurdles was the time spent in maintaining--upgrading, patching, installing new services. Oracle Autonomous Data Warehouse gave us the confidence to delegate the operational well-being of our database instances to the experts who designed it from the ground up.

It is used in multiple departments to build in-house analytics tools where we use Oracle as our main database.
The current purpose of using Oracle in our team is just for storing less data but highly index database for frequent data fetch which enable our operation to resolve customer tickets/complaint within SLA. Our current system is small which may we scale in the future (10-20 million records in main and we also create SCD type 1,2 and 3 ETL flow using Oracle).

I'm using the a Free Tier [Oracle] Autonomous Data Warehouse in a PoC / Test environment to centralize information from a wide range of sources in order to allow quick Reporting and OLAP analysis of data coming from our suite of tolling software. I'm integrating information from more than 30 databases (20 SQL Server, 5 Oracle and other like Postgres). This POC will try to demonstrate the ease of use and maintenance of Autonomous databases so we can recommend them to our customers.

<h3><span style="font-size: 15px; color: rgb(21, 21, 33); font-family: &quot;Source Sans Pro&quot;, sans-serif; font-weight: 500;">One of the biggest challenge is the scaling and provisioning of hardware &amp; software for any data ware house solution and also the associate problems like configuration, security and importantly tuning of the storing and fetching/querying data. For the same reason Oracle Autonomous Data Warehouse tool used for one of the project for the customer. It help overcome some of critical, complex, manual and time consuming tasks like hardware procurement, configuration, security, high availability and high performance all this with reducing administrative cost and no human error.</span></h3>

Oracle Autonomous Data Warehouse is used in automation of provisioning and configuring a data warehouse. It is also used to tune and scale the data warehouse as needed. It is used across the whole organization.
Business problems that it addresses: Since the manual work is almost completely eliminated, the cost of administering a data warehouse is reduced significantly. Also, this is highly secured and reliable.

The blockchain style for data storage and analysis. We have many different data formats from XML, HTML, JSON and this tool is very useful in organizing and querying all types of data at once. Getting all of our data centralized in one place and then only using one tool to look at all of it is hugely beneficial.

One of our data warehouses is Oracle Autonomous Data Warehouse and it is being used for two years corresponding very well in terms of performance and reliability. Some of our data has been stored there and it's available to some departments to connect through it to pull data feeding their business intelligence tools.

We use Oracle Autonomous Data Warehouse for one specific application that store[s] alarm[s] and incidents as an historical database. It address business problem[s] with regard to preventive maintenance that analysts can query more than a billion rows very fast, to identify certain patterns. This historical database was migrated from an older Oracle database into the Autonomous Data Warehouse and now we don't need to think about upgrading the database and having machine/database available. Now the database is always available and if it is not need[ed] for some time, we just stop it, and when there is need to query the data I start it up again.

Oracle Autonomous Data Warehouse is the data warehousing tool for our company in cloud. It is currently being utilized by the transportation department, but we are in the process of expanding its adoption to other departments once the single sign-on issues with the connection to our core Oracle ERP Cloud is resolved. We have a need for many summary reports which could be a challenge from OTBI, hence we are planning to do summarization at the ADW level and then report out of ADW using Oracle Analytics Cloud.

Oracle Data Warehouse is being used across our entire organization. Although each department in our organization has its own individual use cases for maintaining a data warehouse, the overall problems that are being solved are the same. We are using Oracle Data Warehouse for business intelligence related queries, finding trends in periods of time using all the historical data, and for deep data exploration.

The autonomous data warehouse is being used as a test case currently. We are using it to test how much more efficient and reliable it can be compared to our current configuration. It is used solely in my department . It is used to address performance issues for the most part.

We used Oracle Autonomous Database for our warehouse reporting. It is a 50 TB huge database and reports are generated every day. It is pretty read intensive database. It's availability is required for 24 X 7. We have several thousands customers using it on a regular basis. The performance is phenominal.

We've recently adopted Exadata as our primary DW solution. It allows us to quickly store and query lots of data. The data is generally written in overnight batches and is constantly queried 24x7. It even supports some online business decisions to our customers. We use it company-wide. I am an administrator of the database, as well as a SQL Programmer.

My company is a non-profit organization of a healthcare system. We adopted Oracle Data Warehouse for building a clinical data warehouse, to support quality improvement and clinical research. Our hospitals and clinics run electronic health record systems that capture clinical data through patient care; the Data Warehouse is used to store them in a permanent manner. Once stored, the data can be normalized and standardized to be used by clinical departments, clinical champions, and researchers. There were a number of use cases in the Data Warehouse, but the major two were monitoring of clinical operation and improvement of clinical workflow.

The Oracle Data Warehouse is a robust platform being used by many departments for Data Storage, Reporting from Stored Data, & also to build Marketing products. Mostly used for Analytics, as it is easy to query the data & stores a huge amount of data in a pre-processed form required for analytics of a variety of business aspects.

The Oracle Data Warehouse provides a robust data warehousing platform that is used across my entire organization. Oracle Data Warehouse is directly used by a wide range of departments from analytics and data sourcing, to finance and marketing. For an organization that deals with huge volumes of data, Oracle DW is a great option for warehousing.

Oracle Data Warehouse were used for one of our clients to act as an analytics database that stores transactional data like Financial Transaction relation information, Customer Centric Information, Sales and Purchase related Information, Projects and Service related information. The information stored in the Oracle Data Warehouse would help the key business users to pull reports through data cubes which would help them in analyzing different aspects of business. So based on the data points received and the key indicators set, it would enable the business to make informed decisions to grow their business. One example would be to identify customers sales which could be seasonal in nature, so by understanding the patterns of their previous placed order the business can vouch for the customer next time when similar conducive scenario is in place.

Oracle Data Warehouse was used at a previous company to be the central data warehouse. Analysts connected to it to run queries on all types of different data like customer, transaction, and behavior data. It was also used to power reporting being done by the business.

My organization designs, builds and maintains a data warehouse for various clients both from public and private sectors. Based on the individual client needs the data warehouse is being used both at the department level and as well as at the entire organization level. The data warehouse is being used to answer and provide insights to the organizations' various activities. Using the data warehouse the organizations are able to derive advanced analytic analysis and in turn increase fraud detection, efficiency and much more.