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 …
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.
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, …
A look at data storage options in Microsoft Azure cloud platform, discussing the pros and cons of each one and how to use them all together for the best results.
Data lakes, data exhaust, web scale, data is the new oil. Vendors are throwing new terms and analogies at us to convince us to buy their products as the market around data technologies grows. We change data persistence and transaction layers because “databases don’t scale” or because data is “unstructured”. …
You have a killer web application, hits are through the roof and your database is starting to get overloaded. Do I need to throw more hardware at the database? Should I shard it? Should I use replication? How do I access multiple databases via one Rails application? Join us as …
