Make sure you didn't miss anything with this list of the Best of the Week in the NoSQL Zone. This week's best include a discussion of the relationship between relational databases and their predecessors, thoughts about compression and storage in LevelDB and LMDB, and an argument that SQL is the new NoNoSQL.
Make sure you didn't miss anything with this list of the Best of the Week in the Big Data Zone. This week's best include the introduction to a series on handling Big Data with HBase, tips for faster range faceting in Apache Lucene, and more tough talk between Hortonworks and Cloudera.
In the author's previous post, he demonstrated how fast you can insert 50 million time-event entries with MongoDB. In this article, you will learn how to make use of all that data to fuel aggregation tests.
This recent post details a database migration from MongoDB to Cassandra. It's a detailed account, starting with the background of what led to the decision, various attempts at solving their problems, and finally how they went about migrating to Cassandra, including code and data to document their improvements.
When applying Continuous Delivery to an application estate, our ability to rapidly release individual applications is constrained by inter-application dependencies. How can we enable the independent evolution of interdependent applications with minimal risk?
Agile practices as described in the literature are suitable for small co-located teams focused on a single product. These small co-located teams quickly and efficiently establish a shared understanding of a project, the customer, and the architecture they are working within.
When the author started running some years ago, he bought a Garmin Forerunner 405, a device that tracks GPS coordinates while you're running. In this article, you will learn how to store, query, and visualize such data using a Neo4j Spatial datastore and Gephi.
Traditionally we aggregate our data into summary statistics like averages or percentiles. In order to truly understand our systems, we need to know when and how to sidestep those abstractions, to get deep, detailed performance insight.
Though it’s common to hear people talking about “DevOps teams” — or see job postings for “DevOps” — to leaders of this technology movement, the phrase is like the sound of fingernails on a chalkboard. So why do those in the know freely talk about a DevOps toolchain? It’s because a common toolchain helps developers and IT operations people work together more collaboratively to achieve the goals of the business.
It’s been a funny transition the past few years as agile has gone more and more mainstream. You used to have to start every talk with an explanation of the Agile Manifesto… you don’t have to do that anymore, people generally get it.
SQL features have a unique trait that few other languages have. They are obscure to those who don’t know them, as every language feature introduces a new syntax with new keywords. In this case: APPLY and LATERAL.