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.
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 …
Deploying with the Basho Data Platform
Choosing the best technologies for your stack is only part of the challenge. A huge pain point comes in the integration of these toolsets in a way that runs smoothly from prototype to production. At Basho, we’ve built a platform that leverages Riak KV as a scalable, distributed NoSQL database …
Building Fault Tolerant Apps with Cassandra
This presentation give a brief introduction to Apache Cassandra, how to interact with it from Java and how its architecture is build around being tolerant to faults. It then explains how developers’ mindset needs to change when dealing with a distributed datastore, topics include: CAP theorem and cross datacenter latency.
NoSQL?!? Let’s Talk NewSQL
Enterprise Java developers moved from traditional RDBMS solutions such as Oracle Database and MySQL to NoSQL solutions such as Cassandra, MongoDB, and CouchDB to achieve elasticity, but for a hefty price: ACID properties. It seemed like a fair price to pay at the time. But not anymore. Here comes NewSQL: …