Challenges to Designing Financial Data Warehouses
In today’s rapidly changing financial world, designing robust and durable data warehouses can be a challenge that does not always stand the test of time.
Category: Database
Avoid Big Data Antipatterns
Over the last five years, the amount of data in our data centers has exploded, and today there are numerous NoSQL, streaming, and batch systems that promise to scale with your data. These new technologies bring with them a difficult question that needs to be answered: which tool is the …
Build a Data Lake on Amazon Cloud
Conceptually, a data lake is a flat data store to collect data in its original form, without the need to enforce a predefined schema. Instead, new schemas or views are created “on demand”, providing a far more agile and flexible architecture while enabling new types of analytical insights. AWS provides …
Performance and Scale-up with Azure SQL Database
Azure SQL Database is a robust relational database platform for developing, deploying, and managing the data tier in a wide range of cloud-based applications. In this session, you’ll learn how to increase the performance and scale of SQL Database according to your business needs.
Big Data Architectural Patterns and Best Practices
The world is producing an ever increasing volume, velocity, and variety of big data. Consumers and businesses are demanding up-to-the-second (or even millisecond) analytics on their fast-moving data, in addition to classic batch processing. AWS delivers many technologies for solving big data problems. But what services should you use, why, …
Object-Relational Mapping – You Are Doing it Wrong
Nothing gets DBAs more riled up than a developer infatuated with an Object-Relational Mapper. ORMs work great at mapping from relational to objects, but can be a crutch. If you want to make your DBA (and your users happy), you’ll want to use your ORM intelligently.