NoSQL: Basho: New Financing, New CEO

Basho: New Financing, New CEO

This couldn't go unmentioned:

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NoSQL: Using MongoDB NoSQL Database in Your GlassFish Java EE 6 Applications

Using MongoDB NoSQL Database in Your GlassFish Java EE 6 Applications

Skip the intro (until you see the MongoDB logo) to get a short intro on how to use MongoDB in a 3-tier Java EE 6 app:

tags:MongoDB

via NoSQL databases

NoSQL: Brief MongoDB and Riak Comparison

Brief MongoDB and Riak Comparison

The advantage of Riak over Mongo is that Riak automatically replicates and rebalances. The advantage of MongoDB over Riak is that Mongo supports secondary indexes and a more robust query language. Both Riak and MongoDB support MapReduce via JavaScript, and both use the SpiderMonkey JavaScript engine. However, Riak's MapReduce framework is more powerful than MongoDB's framework because Riak allows you to run MapReduce jobs on a filtered set of keys. By contrast, in Mongo, you have to run MapReduce jobs across an entire database.

tags:MongoDB,Riak

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NoSQL: MongoDB Distances Itself From NoSQL Alternatives

MongoDB Distances Itself From NoSQL Alternatives

When Zawodny [1] , a MySQL performance guru, gets behind MongoDB, it's time for enterprises interested in NoSQL to consider MongoDB.

tags:MongoDB

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NoSQL: What Do You Want to Do Analytically?

What Do You Want to Do Analytically?

Curt Monash offers a 4-point evaluation guide to answer the question in the title:

tags:BigData

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NoSQL: HBase Benchmarking for Multi-Threaded Environment

HBase Benchmarking for Multi-Threaded Environment

This weekend I attempted to figure out how HBase writes perform in multi-threaded environments.  […] I used three variants to write records into HBase: Use one HTable for every write HTable is created using a singleton instance of HBaseConfiguration HTable is created using new instance of HBaseConfiguration (Why? - I wanted to check how the behavior changes if connections to servers are not shared.  Reference: HTable and HConnectionManager documentation) Use HTablePool

tags:HBase

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NoSQL: Yahoo Launches Hadoop Spinoff

Yahoo Launches Hadoop Spinoff

GigaOm breaks the news of the Yahoo! Hadoop engineering spinoff, HortonWorks:

tags:Hadoop

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NoSQL: Biodiversity Indexing: Offline Processing With Hadoop, Hive, Sqoop, Oozie

Biodiversity Indexing: Offline Processing With Hadoop, Hive, Sqoop, Oozie

The architecture for offline processing biodiversity based on Sqoop, Hadoop, Oozie, and Hive:

tags:Hadoop,HBase

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NoSQL: Solid State Silliness

Solid State Silliness

Jeff Darcy:

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NoSQL: Building an Ad Network Ready for Failure

Building an Ad Network Ready for Failure

The architecture of a fault-tolerant ad network built on top of HAProxy, Apache with mod_wsgi and Python, Redis, a bit of PostgreSQL and ActiveMQ deployed on AWS:

tags:Redis

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NoSQL: What Are the Tools You're Using to Organize and Make Sense of All That Data?

What Are the Tools You're Using to Organize and Make Sense of All That Data?

Too many solutions for BigData? Charlie Quinn [1] doesn't think so. He actually talks about too many homegrown solutions. That means a highly fragmented market which poses many problems—ranging from acquiring experienced people and up to reusing proven solutions—for the future of companies and organizations betting on BigData:

tags:BigData

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NoSQL: SAP HANA: In-Memory Analytical Appliance

SAP HANA: In-Memory Analytical Appliance

Dennis Moore:

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NoSQL: Cassandra as a Mutation Datastore

Cassandra as a Mutation Datastore

Step by step data modeling with Cassandra:

tags:Cassandra

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NoSQL: Basho, NoSQL, and Polyglot Persistence Adoption With Justin Sheehy

Basho, NoSQL, and Polyglot Persistence Adoption With Justin Sheehy

Justin Sheehy (CTO Basho) answers Michael Coté's (RedMonk) questions about Basho, the current state of NoSQL, and polyglot persistence adoptions among developers.

via NoSQL databases

NoSQL: Screencast: Background Jobs With Resque

Screencast: Background Jobs With Resque

A Resque, the Redis backed background jobs tool, screencast by the Railscasts peeps . The 12 minutes video is available after the break and you can download the source code from the Railscast website .

tags:Redis

via NoSQL databases

NoSQL: A Javascript Blog With CouchDB and Node.js

A Javascript Blog With CouchDB and Node.js

I won't say that everyone should do like Oren Eini and migrate his own blog to using a NoSQL engine , but I agree that NoSQL-based blogs are usually a better version of "hello world" apps.

tags:CouchDB

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NoSQL: Explore MongoDB: Learn Why This Database Management System Is So Popular

Explore MongoDB: Learn Why This Database Management System Is So Popular

A good basic intro to MongoDB:

tags:MongoDB

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NoSQL: The Evolution of Google File System (GFS)

The Evolution of Google File System (GFS)

Firstly it was the Google File System described in this 2003 paper (PDF) :

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NoSQL: An Introduction to MongoDB

An Introduction to MongoDB

Good slidedeck from Chris Westin (10gen engineer)—I particularly liked the slides summarizing some of the limitations in the relational databases:

tags:MongoDB

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NoSQL: What's Next for IBM Watson?

What's Next for IBM Watson?

If you are waiting for a financial services version of the powerful artificial intelligence system that won a game of Jeopardy against two of the highest winning champions of all time — Brad Rutter and Ken Jennings — don't hold your breath … yet. Unfortunately for the Wall Street techno-geeks and quants looking for another tool to add to their algorithmic arsenal, IBM isn't working on a financial services version of Watson at this time, according to Dr. David Ferrucci […]

tags:Hadoop

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NoSQL: 2 Ways to Tackle Really Big Data

2 Ways to Tackle Really Big Data

So there you have the two approaches to handling machine-generated-data. If you have vast archives, EMC, IBM Netezza, and Teradata all have purpose-build appliances that scale into the petabytes. You also could use Hadoop, which promises much lower cost, but you'll have to develop separate processes and applications for that environment. You'll also have to establish or outsource expertise on Hadoop deployment, management, and data processing. For fast-query needs, EMC, IBM Netezza, and Teradata all have fast, standard appliances and faster, high-performance appliances (and companies including Kognitio and Oracle have similar configuration choices). Column-oriented database and appliance vendors including HP Vertica, InfoBright, ParAccel, and Sybase have speed advantages inherent in their database architectures.

tags:BigData

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NoSQL: IBM Launches First Netezza Appliance

IBM Launches First Netezza Appliance

The pitch :

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NoSQL: Moving Away From Amazon’s EMR Service to an In-House Hadoop Cluster

Moving Away From Amazon's EMR Service to an In-House Hadoop Cluster

Many of our systems use Amazon's S3 as a backup repository for log data.  Our data became too large to process by traditional techniques, so we started using Amazon's Elastic MapReduce (EMR) to do more expensive queries on our data stored in S3.  The major advantage of EMR for us was the lack of operational overhead.  With a simple API call, we could have a 20 or 40 node cluster running to crunch our data, which we shutdown at the conclusion of the run. We had two systems interacting with EMR.  The first consisted of shell scripts to start an EMR cluster, run a pig script, and load the output data from S3 into our data warehousing system.  The second was a Java application that launched pig jobs on an EMR cluster via the Java API and consumed the data in S3 produced by EMR.

tags:Hadoop

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NoSQL: Redis 2.2.11: Recommended Upgraded Fixing Critical Bug With Dictionary Iterators

Redis 2.2.11: Recommended Upgraded Fixing Critical Bug With Dictionary Iterators

Salvatore Sanfilippo about why Redis 2.2.11 is a recommended upgrade:

tags:Redis

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NoSQL: Full Text Search: What to Use?

Full Text Search: What to Use?

A problem everyone using a NoSQL databases faces ( nb : actually I think this applies to most storage engines that don't support full text indexing):

tags:CouchDB

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NoSQL: The NoSQL Fad

The NoSQL Fad

Adam D'Angelo [1] :

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NoSQL: Poll: What Database Does Your Company Use?

Poll: What Database Does Your Company Use?

Just a Hacker News poll , nothing scientific though. MySQL has twice the votes of PostgreSQL which is in the second place.

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NoSQL: Google: 'At Scale, Everything Breaks'

Google: 'At Scale, Everything Breaks'

Urs Hölzle interviewed by ZDNet:

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NoSQL: Pagination With MongoDB

Pagination With MongoDB

Like any developer , I had an idea to use Limits, Skips, and Sorts query mechanism to achieve pagination. But on long run if document is going to have more than few thousand records , then it is not a good practices to use Limits, Skips, and Sorts. As Limits, Skips, and Sorts reduces the performance on large scale documents

tags:MongoDB

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NoSQL: Hibernate OGM: Why, What, How

Hibernate OGM: Why, What, How

Very good post by Emmanuel Bernard on the Hibernate blog explaining why Hibernate OGM was created, how it works, and what the plan is.

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NoSQL: Big Data and the Semantic Web

Big Data and the Semantic Web

Edd Dumbill (O'Reilly):

tags:BigData

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NoSQL: The Promise and Scope of Big Data

The Promise and Scope of Big Data

Vivek Ranadivé (Tibco CEO):

tags:BigData

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NoSQL: Hibernate Object/Grid Mapper

Hibernate Object/Grid Mapper

Following the Spring Data model , RedHat wants to bring JPA support to NoSQL solutions:

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NoSQL: The Future of Cloud Services: IDC Report

The Future of Cloud Services: IDC Report

An IDC Report about the impact of cloud computing on the IT market:

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NoSQL: Multi-Document Transactions in RavenDB vs Other NoSQL Databases

Multi-Document Transactions in RavenDB vs Other NoSQL Databases

"We tried using NoSQL, but we are moving to Relational Databases because they are easier…"

tags:RavenDB,MongoDB,Redis,VoltDB

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NoSQL: Minor MongoDB Release

Minor MongoDB Release

A minor upgrade for MongoDB (1.8.2):

tags:MongoDB

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NoSQL: Columnar DBMS Vendor Customer Metrics

Columnar DBMS Vendor Customer Metrics

Very interesting customer base numbers for Sybase IQ, Vertica, SAND Technology, Infobright published by Curt Monash —most are in the hundreds, except for Sybase IQ.

via NoSQL databases

NoSQL: MongoDB, BI and Non-Relational Databases

MongoDB, BI and Non-Relational Databases

Avoiding storing and maintaining a second copy of large volumes of data is always a good thing.  And if the analysis doesn't require joining with data from another source, using the original source data can be advantageous.  There are always questions about performance impacts on the operational source, and sometimes security implications as well.  However, the main question is around the types of query possible against a NoSQL store in general or a document-oriented database in this case.  It is generally accepted that normalizing data in a relational database leads to a more query-neutral structure, allowing a wider variety of queries to be handled.  On the other hand, as we saw with the emergence of dimensional schemas and now columnar databases, query performance against normalized databases often leaves much to be desired.  In the case of Operational BI, however, most experience indicates that the queries are usually relatively simple, and closely related to the primary access paths used operationally for the data concerned.  The experience with MongoDB bears this out, at least in the initial analyses users have required.

tags:MongoDB

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NoSQL: Data Scientist Summit Videos

Data Scientist Summit Videos

After seeing the excerpt from Jonathan Harris' talk at Data Scientist Summit I really wanted to post a link to some of the videos. But they are all behind a registration gateway. Just in case you want to watch them—there are indeed some interesting titles— you'll find them here .

tags:BigData

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NoSQL: MongoDB at Foursquare: Practical Data Storage

MongoDB at Foursquare: Practical Data Storage

The fine guys from 10gen have granted me access to publish here videos from their Mongo events organized across US and Europe—thanks Meghan .

tags:MongoDB

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NoSQL: RacoonBlog: RavenDB Based Blog Engine

RacoonBlog: RavenDB Based Blog Engine

Oren Eini, creator of RavenDB, is drinking his own champaign and migrated his own blog to an engine using RavenDB: RaccoonBlog .

tags:RavenDB

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NoSQL: Getting Started With VMware CloudFoundry, MongoDB and Node.js

Getting Started With VMware CloudFoundry, MongoDB and Node.js

A step by step intro to VMware CloudFoundry, MongoDB and Node.js.

tags:MongoDB

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NoSQL: Sones GraphDB Changes License for Libraries

Sones GraphDB Changes License for Libraries

If you check the quick review of existing graph databases and the NoSQL graph databases matrix you'll notice that most of these came under either an AGPL license or a commercial one.

tags:Sones

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NoSQL: Infobright Rough Query: Aproximating Query Results

Infobright Rough Query: Aproximating Query Results

Very interesting idea in the latest Infobright release:

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NoSQL: HBase at TellApart for Log Event Processing

HBase at TellApart for Log Event Processing

Educative post from TellApart explaining how HBase—with the right data modeling and filtering processes—had them covered for the following requirements coming from the need of log analysis:

tags:HBase

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NoSQL: Couchbase Single Server Important Improvements

Couchbase Single Server Important Improvements

Couchbase Single Server is the CouchDB packaging offered by Couchbase. But I think this is the first time this product came out under this name. At least the first Couchbase Server release didn't mention it.

tags:Couchbase,CouchDB

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NoSQL: Tech Leaders Don't Win by Saying They'll Crush Somebody

 Tech Leaders Don't Win by Saying They'll Crush Somebody

The best technology companies in the world, be they in hardware, software or Web services, didn't get there by brashly saying they were going to take out #1, kill them or stomp on their grave. If you think about it, or do your share of reading up on Web history, you'll find that for the most part, the companies who we associate with leadership, be it through quality, market share or traffic stats, reached their position with a near purity of thought on their ability to deliver something new and differentiated. So when you read about company X targeting company Y or setting up to take them down, you can almost guarantee they either won't make it, or company Y is going to change the game again.

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NoSQL: Big Data on Micro Servers? You Bet

Big Data on Micro Servers? You Bet

Derrick Harris (GigaOm):

tags:BigData

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NoSQL: Oracle and IBM May Not Know Big Data, but Neither Does Ballmer

Oracle and IBM May Not Know Big Data, but Neither Does Ballmer

The echo chamber is reacting :

tags:BigData

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NoSQL: OrientDB - Pure Java NoSQL Datastore

OrientDB - Pure Java NoSQL Datastore

I analysed all the popular ones but none fitted my requirements. I had one criteria for selecting a database: I must be able to code in Java. Most available systems were non-Java based which would be a significant issue for a one man project. Even if they had Java interface, the installation, setup, etc. were a tedious process. Having a database developed purely in Java has many advantages: Easy packaging with other applications Easy to install and run Can be embedded Can run in same or different VM Easy to debug Easy to test After much searching, I came across OrientDB.

tags:OrientDB

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NoSQL: Choosing Technologies: The Library of Congress and the Twitter Archive

Choosing Technologies: The Library of Congress and the Twitter Archive

Remember when everyone was suggesting solutions for Twitter architecture? Now the Library of Congress is trying to figure out what technologies to use to store the Twitter archive:

tags:HBase,Hadoop

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NoSQL: Amazon RDS TPC-C Benchmark

Amazon RDS TPC-C Benchmark

A paper by Md. Borhan Uddin, Bo He, and Radu Sion:

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NoSQL: Jaql: Query Language for JSON in IBM InfoSphere BigInsights

Jaql: Query Language for JSON in IBM InfoSphere BigInsights

jaql was created and is used by IBM InfoSphere BigInsights—the IBM Apache Hadoop distribution:

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NoSQL: Redis vs H2 Performance in Grails 1.4

Redis vs H2 Performance in Grails 1.4

I wondered just how much faster read/write operations could be with Redis (if at all) over the H2 database so I set out to write a little test app to see for myself.

tags:Redis

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NoSQL: Node.js, Redis and Web Sockets for Instagram Realtime API

Node.js, Redis and Web Sockets for Instagram Realtime API

Alon Salant forked and upgraded the Instagram realtime demo sourcecode to allow anyone to play with latest versions of Node.js, Redis, and the Instagram real-time API—3 cool projects du jour.

tags:Redis

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NoSQL: All You Wanted to Know About Virtual Systems - the Thing King

All You Wanted to Know About Virtual Systems - the Thing King

How many NoSQL databases can be described in

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NoSQL: Steve Balmer on Microsoft and Big Data

Steve Balmer on Microsoft and Big Data

InformationWeek quoting Steve Balmer:

tags:BigData

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NoSQL: A Different Usage of BigData: Opower

A Different Usage of BigData: Opower

One of the clearest usage of BigData I've read about—if it delivers:

tags:BigData

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NoSQL: The Parable of CouchDB: Making Sense of Unstructured Data

The Parable of CouchDB: Making Sense of Unstructured Data

Nice metaphor on how CouchDB can be used to make sense of unstructured data:

tags:CouchDB

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NoSQL: You Need to Hire a Data Geek

You Need to Hire a Data Geek

What to look for when hiring a data geek—a different name of the now established data scientist role

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NoSQL: Data Scientist and Cloud Architect: The 6 Hottest New Jobs in IT

Data Scientist and Cloud Architect: The 6 Hottest New Jobs in IT

Infoworld published a non scientific research on the hottest new jobs in IT and Data scientists and Cloud architects made it in the top 6.

via NoSQL databases

NoSQL: Splunk Wants to Webify Big Data

Splunk Wants to Webify Big Data

IT analytics company Splunk has received a patent for its method of organizing and presenting big data to mirror the experience of browsing links on the web. The patent validates Splunk's unique approach to the problem of analyzing mountains of machine-generated data and hints at a future where writing big data applications doesn't require a Ph.D.

tags:BigData

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NoSQL: NoSQL Databases: What, Why, and When

NoSQL Databases: What, Why, and When

Lorenzo Alberton with an overview of the NoSQL landscape:

tags:CouchDB,MongoDB,Riak,Redis,Membase,Neo4j,Cassandra,HBase,Hypertable

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NoSQL: Using CouchDB in an iOS Application

Using CouchDB in an iOS Application

A guide of using mobile Couchbase Xcode project templates by Marty Schoch. It takes only 5 minutes to get started.

tags:CouchDB

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NoSQL: Mokk.me: iPhone Mockup Tool Built on CouchDB

Mokk.me: iPhone Mockup Tool Built on CouchDB

Not much of a designer myself, but mokk.me is built on CouchDB alone using only HTML, CSS, Javascript:

tags:CouchDB

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NoSQL: EMC BigData Acquisition Budget: $3 Billion

EMC BigData Acquisition Budget: $3 Billion

Bloomberg reports on EMC's planned budget for acquisitions in the BigData market:

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NoSQL: MongoDB: 10 Things You Might Not Know About It

MongoDB: 10 Things You Might Not Know About It

I only missed the 7th and 9th:

tags:MongoDB

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NoSQL: ParElastic: Cloud-Enabled Apps on Relational Databases

ParElastic: Cloud-Enabled Apps on Relational Databases

No idea how this would work:

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NoSQL: NoSQL databases: The Cost of Migration

NoSQL databases: The Cost of Migration

Migrating to a NoSQL database is not a free ride. There are some costs and complexity involved in this process. I’ve found a good list of the costs involved in a slide from Tom Melendez’ (a bit old) presentation (embedded below):

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NoSQL: Redis Based Triplestore Database

Redis Based Triplestore Database

Using Redis as a triple store back-end requires an interesting combination of data types, operations, and multi-commands:

tags:Redis

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NoSQL: BigData: Volume, Velocity, Variability, Variety

BigData: Volume, Velocity, Variability, Variety

BigData was defined as the 3 Vs: volume, variety, velocity , but Brian Hopkins (Forrester principal analyst) is adding the forth V: variability :

tags:BigData

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NoSQL: 10gen Aims to Make MongoDB King of the NoSQLs

10gen Aims to Make MongoDB King of the NoSQLs

Merriman's vision was to build a DB that would scale on commodity hardware and in the cloud. Their customers include names like Intuit, Shutterfly and foursquare. Like other NoSQL DBs, they really excel when the data needs and read/write loads are big. For this reason, they are perfectly suited to much of the social networking and big web based apps and networks that we all use today.

tags:MongoDB

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NoSQL: Six Myths About Data Scientist

Six Myths About Data Scientist

Ted Cuzzillo (tdwi):

tags:BigData

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NoSQL: Writing a Simple Keyword Search Engine Using Haskell and Redis

Writing a Simple Keyword Search Engine Using Haskell and Redis

Good guide on how to translate logical operators in Redis set commands:

tags:Redis

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NoSQL: BigData: 7 Key Insights

BigData: 7 Key Insights

From the EMC Isilon blog:

tags:BigData

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NoSQL: Unstructured Data: The Elephant in the Big Data Room

Unstructured Data: The Elephant in the Big Data Room

The Unisphere/MarkLogic survey also found that 86% of respondents admit that unstructured data is important to their organization, yet only 11% have clear procedures and policies for managing unstructured data in place. In addition, 80% of respondents know the amount of unstructured data will rise in the next three years, but only 24% of respondents believe their current infrastructure will be able to adequately manage it.

tags:BigData

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NoSQL: HBase Load Balancing Explained

HBase Load Balancing Explained

Ted Yu explains the internals of the HBase load balancing with references to corresponding JIRA tickets and the latest improvements:

tags:HBase

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NoSQL: 11 Buggy Disappointments in MongoDB

11 Buggy Disappointments in MongoDB

I've been exploring MongoDB primarily for its map-reduce functionality lately. I've found a few shortcoming that I'm not crazy about.

tags:MongoDB

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NoSQL: Arduino Cat Faucet With Mongodb and Rails

Arduino Cat Faucet With Mongodb and Rails

I used before the word geeky for the Smalltalk and CouchDB or the Smalltalk client for Riak . But this story is the real geeky thing. You must read it to believe me:

tags:MongoDB

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NoSQL: Optimizing MongoDB: Lessons Learned at Localytics

Optimizing MongoDB: Lessons Learned at Localytics

These slides have generated quite a reaction on Twitter. I'll let you decide for yourself the reasons:

tags:MongoDB

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NoSQL: The Data Layer - Visualizing the Big Players in the Internet Economy

The Data Layer - Visualizing the Big Players in the Internet Economy

John Battelle ranking a series of data rich/intensive companies based on

tags:BigData

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NoSQL: Big Data: Achieve the Impossible in Real-Time

Big Data: Achieve the Impossible in Real-Time

Jean-Pierre Dijcks (Oracle):

tags:BigData

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NoSQL: Franz's AllegroGraph Sets New Triple Store Record

Franz's AllegroGraph Sets New Triple Store Record

The 310 billion triple result that Franz is announcing today was achieved in only two weeks of access (actual loading time of just over 78 hours) to an 8-socket Intel Xeon E7-8870 processor-based server system configured with 2 terabytes of physical memory and 22 terabytes of physical disk. "We're confident that with additional time, another terabyte of memory, and a bit more storage capacity, the previously unreachable goal of 1 trillion triples can be achieved. Even double that is not out of the question," stated Dr. Jans Aasman, CEO of Franz Inc.

tags:AllegroGraph,Hadoop

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NoSQL: Setting Up a 3 Node Riak Cluster With EC2 Cluster Compute Instances

Setting Up a 3 Node Riak Cluster With EC2 Cluster Compute Instances

How fast can you set up a demo cluster:

tags:Riak

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NoSQL: RavenDB Filtered Replication

RavenDB Filtered Replication

RavenDB gets filtered replication— like the one CouchDB had for a while

tags:RavenDB,CouchDB

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NoSQL: CouchDB 1.1 Feature Guide

CouchDB 1.1 Feature Guide

All features in CouchDB 1.1.0 nicely and cleanly documented.

tags:CouchDB

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NoSQL: Is BigData Financially Quantifiable?

Is BigData Financially Quantifiable?

Chuck Hollis (VP EMC) explores the idea of quantifying financially a corporation BigData:

tags:BigData

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NoSQL: Radish: Redis Analysis and Monitoring Service

Radish: Redis Analysis and Monitoring Service

A hosted monitoring tool for Redis:

tags:Redis

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NoSQL: Cassandra: Understanding Hinted Handoff

Cassandra: Understanding Hinted Handoff

Jonathan Ellis explains hinted handoff and its implications on consistency, availability, and performance:

tags:Cassandra

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NoSQL: RethinkDB Launches 1.0 Version With Memcached Compatibility Only

RethinkDB Launches 1.0 Version With Memcached Compatibility Only

Just as I speculated , RethinkDB has finally launched the 1.0 version with Memcached compatibility only. Jason Kincaid (Techcrunch) writes :

tags:Memcached,Membase

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NoSQL: Apache CouchDB 1.1.0 Released: Native SSL, HTTP Range Requests

Apache CouchDB 1.1.0 Released: Native SSL, HTTP Range Requests

Robert Newson just announced a new version of Apache CouchDB, 1.1.0, featuring native SSL, HTTP range requests, and a other features and improvements listed below:

tags:CouchDB

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NoSQL: Google BigTable, MapReduce, MegaStore vs. Hadoop, MongoDB

Google BigTable, MapReduce, MegaStore vs. Hadoop, MongoDB

Dhanji R. Prasanna leaving Google:

tags:BigTable,MapReduce,Hadoop,MongoDB

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NoSQL: Where Riak Fits? Riak's Sweetspot

Where Riak Fits? Riak's Sweetspot

Martin Schneider (Basho) trying to answer the question in the title:

tags:Riak,Cassandra,HBase,Hypertable,Hadoop

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NoSQL: HDFS: Realtime Hadoop and HBase Usage at Facebook

HDFS: Realtime Hadoop and HBase Usage at Facebook

Dhruba Borthakur started a series of posts — part 1 and part 2 — describing both the process that lead Facebook to using HBase and Hadoop, but also the projects where these are used and their requirements:

tags:Hadoop

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NoSQL: Rate Limiting With Redis

Rate Limiting With Redis

Rate limiting can be an effective way of conserving resources and preventing automated or nefarious activities on your site. The key issues to address when designing a solution are: How do we incorporate time given that it's a continuous variable? How can we efficiently expire old data? How can we scale the solution so that it can handle many hundreds of subjects and/or actions per second?

tags:Redis

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NoSQL: How to Decrease the Pain in Building Distributed Systems

How to Decrease the Pain in Building Distributed Systems

Bradford Stephens [1] talking distributed systems:

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NoSQL: Hadoop at eBay

Hadoop at eBay

Anil Madan [1] presenting on Hadoop at eBay:

tags:Hadoop

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NoSQL: MongoHQ Announces MongoDB Replica Set Support

MongoHQ Announces MongoDB Replica Set Support

MongoHQ, a MongoDB hosting solution :

tags:MongoDB

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NoSQL: Cassandra 0.8 Featuring a Query Language and Distributed Counters

Cassandra 0.8 Featuring a Query Language and Distributed Counters

Cassandra 0.8.0 was announced today and it brings quite a few exciting new features:

tags:Cassandra

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NoSQL: Hadoop and Appliances

Hadoop and Appliances

Curt Monash:

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NoSQL: Experimenting with Hadoop using Cloudera VirtualBox Demo

Experimenting with Hadoop using Cloudera VirtualBox Demo

tags:Hadoop,HBase,Flume

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NoSQL: Paper: A Study of Practical Deduplication

Paper: A Study of Practical Deduplication

Todd Hoff puts together some good references on data deduplication:

tags:BigData

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NoSQL: Distributed Systems Papers

Distributed Systems Papers

Just in case you ever run out of readings on distributed systems, Dr. Indranil Gupta has put together an extensive list of papers including all the classics, but also some you might not have heard about. Here they are for you to enjoy.

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NoSQL: NoSQL databases goals: Achieving Agility

NoSQL databases goals: Achieving Agility

Michael Rys:

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NoSQL: structr: CMS on top of Neo4j

structr: CMS on top of Neo4j

structr  :

tags:Neo4j

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NoSQL: Riak and Riak Search 0.14.2: Patch-Level Releases

Riak and Riak Search 0.14.2: Patch-Level Releases

Basho released a minor update for both Riak and Riak Search. Release notes for Riak and Riak Search are available at the following links: Riak 0.14.2 and Riak Search 0.14.2 .

tags:Riak

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NoSQL: Big Data and Data Mining: Garbage In, Garbage Out

Big Data and Data Mining: Garbage In, Garbage Out

From an article touting the value of data mining in the era of BigData:

tags:BigData

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NoSQL: The top five most powerful Hadoop projects

The top five most powerful Hadoop projects

Alex Handy (SDTimes) names Cascading, Mahout, Hive, Avro, and Storm the top most powerful Hadoop projects.

tags:Hadoop

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NoSQL: The meter data management pitfall

The meter data management pitfall

Jesse Berst:

tags:BigData,Hadoop

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NoSQL: Tape Delivers Significant TCO Advantage over Disk

Tape Delivers Significant TCO Advantage over Disk

Analysts David Reine and Mike Kahn researching storage of digital data for a long (decade) time:

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NoSQL: Using Redis to Control Recurring Sets of Tasks

Using Redis to Control Recurring Sets of Tasks

Alex Rockwell:

tags:Redis

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NoSQL: Database & Integration: The SDTimes Top 100 for 2011

Database & Integration: The SDTimes Top 100 for 2011

The only NoSQL name making the list is Couchbase which is still working on merging their CouchDB and Membase products.

tags:Couchbase,Hadoop

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NoSQL: HBase on EC2 using EBS volumes : Lessons Learned

HBase on EC2 using EBS volumes : Lessons Learned

There lies the answer! We have a requirement of recreating the cluster in case we accidentally delete entire data or if we loose our master. In such a case the reliable backup can only be taken if your HDFS data does not reside on the root devices. A reliable backup of the root device cannot be taken without rebooting the device. Furthermore it's stored as an AMI which mean you have to create a new AMI every day and delete the old one. This means to solve all of our problems we need HBase installation and data both stored on attached EBS volumes that are not the root devices.

tags:HBase

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