via GIPHY I was just reading over StackOverflow’s 2017 Developer survey. As it turns out there were some surprising findings. Join 33,000 others and follow Sean Hull on twitter @hullsean. One that stood out was databases. In the media, one hears more and more about NoSQL databases like Cassandra, Dynamo & Firebase. Despite all that … Continue reading What engineering roles are most in demand at startups? →

Uber Engineering

Uber’s mission is transportation as reliable as running water, everywhere, for everyone. Last time, we talked about the foundation that powers Uber Engineering. Now, we’ll explore the parts of the stack that face riders and drivers, starting …

The post The Uber Engineering Tech Stack, Part II: The Edge and Beyond appeared first on Uber Engineering Blog.

This Log Buffer Edition covers Oracle, SQL Server and MySQL blogs of the running week.

Oracle:

• While checking the sources of the Cassandra/NetBeans integration into GitHub yesterday, something went very badly wrong and ALL the source files in my Maven project that disappeared!
• AWR Reports, Performance Hub, historisches SQL Monitoring in 12c
• Oracle Database Mobile Server 12c: Advanced data synchronization engine
• ORA-39001, ORA-39000 and …

Addition of support for Apache Cassandra and DataStax Enterprise extends Pythian’s leadership in extreme-scale database deployments and big data services

OTTAWA, Canada – July 8, 2015 – Pythian, a global IT services company specializing in helping companies leverage disruptive technologies to optimize revenue-generating systems, today announced the general availability of its consulting and follow-the-sun managed services support for both Apache™ Cassandra™ and DataStax®, the company that delivers Apache Cassandra to the enterprise. Cassandra is an open-source, distributed database management system designed to handle large amounts of data across many commodity servers, providing high availability with no single point of failure.

Pythian leverages an extensive suite of managed services, tools, and database experience to get organizations up and running in their Cassandra and …

Founded in 2004 to help people find great local businesses, Yelp has some 135 million monthly unique visitors. With those traffic volumes Yelp’s 300+ engineers are constantly working to keep things moving smoothly – and when you move that fast you learn many things.

Fortunately for the global MySQL community, three Yelp DBAs will be sharing what they’ve learned at the annual Percona Live MySQL Conference and Expo this April 13-16 in Santa Clara, California.

Say “hello” to Susanne Lehmann, Jenni Snyder and Josh Snyder! I chatted with them over email about their presentations, on how MySQL is used at Yelp, and about the shortage of women in MySQL.

***

Tom: Jenni, you and Josh will be co-presenting “ …

OpenSQLCamp Boston has only been over for a week, but I already have about 2/3 of the videos uploaded to YouTube.  I have updated the schedule page with all the videos and slides I knew about.  I welcome comments with more information (e.g. links to slides, or tag or description suggestions for the YouTube videos).

Here’s the list of videos and slides so far (also linked at http://opensqlcamp.org/Events/Boston2010/Schedule):

Adventures in Alternative Energy “Data Monitoring” with MySQL — architecture and design case study – Matt Yonkovit, Percona – video

Cassandra and Lucene – Jake Luciani, Riptano –  …

Earlier this month I blogged about our new Hadoop applier, I published the docs for that this week (http://docs.continuent.com/tungsten-replicator-3.0/deployment-hadoop.html) as part of the Tungsten Replicator 3.0 documentation (http://docs.continuent.com/tungsten-replicator-3.0/index.html). It contains some additional interesting nuggets that will appear in future blog posts.

The main part of that functionality that performs the actual applier for Hadoop is based around a JavaScript applier engine – there will eventually be docs for that as part of the Batch Applier content ( …

The upcoming Percona Live London conference, November 11-12, features quite a number of talks about the latest MySQL features and related technologies. There will be a lots of talks about the new MySQL 5.6 features:

• Opening keynote highlights MySQL 5.6 new features.
• New InnoDB Compression talk will cover the new compression algorithm, implemented by Facebook and included in MySQL 5.6.
• New  …

It’s common wisdom that large-scale database systems require distributing the data across machines. But what seems to be missing in a lot of discussions is distributing the query processing too. By this I mean the actual computation that’s performed on the data.

I just had a conversation with Peter Zaitsev yesterday that helped make concrete some thoughts I’ve been having about Cassandra for a while. Because Cassandra doesn’t allow you to really do any computation in the data (aggregating, evaluating expressions, and so on), if you’re going to use it for truly Big data, you’re going to fetch enormous amounts of data across the network. Sure, you’re distributing the storage and retrieval across many machines — but you’re locating your data far from your processing. You have a distant low-level key-value store, in essence, and you have to write a database wrapper on top of it if you’re going to use it for anything …

“We went down the path of building Oracle NoSQL database because of explicit request from some of our largest Oracle Berkeley DB installations that wanted to move away from maintaining home grown sharding implementations and very much wanted an out of box technology that can replicate the robustness of what they had built “out of [...]