Enterprise IT Consultant Views on Technologies and Trends:

Scalability


June 20, 2011  1:47 AM

SciDB – a database for scientific analysis – “For the toughest problems on the planet”



Posted by: Sasirekha R
analytics, Application, Big Data, NoSQL, Relational Database, Scalability, SciDB

SciDB - a database for scientific analysis - "For the toughest problems on the planet" SciDB Inc. website (http://www.scidb.org/) opens with a powerful statement "For the toughest problems on the...

February 14, 2011  1:56 AM

Mainframe Clustering – Overview



Posted by: Sasirekha R
Cluster, IBM, Mainframe, Scalability, zOS

Mainframe Clustering Mainframe has three major clustering techniques: Basic Shared DASD, CTC rings, and Parallel Sysplex. Parallel Sysplex - is analogous in concept to a UNIX cluster - allow the customer to operate multiple copies of the operating system as a single system. This...


December 1, 2010  12:34 AM

Hadoop Database for Big Data – Part III (End)



Posted by: Sasirekha R
Apache, Big Data, Cloud, Hadoop, IBM, Scalability

Hadoop Database for Big Data - Part III For insert-only (in most cases at least) situations, involving crawling and indexing (both in the web and in Enterprises), blogs/wikis, facebook-like applications, search based retrieval (as against query based), batch-oriented or...


December 1, 2010  12:29 AM

Hadoop Database for Big Data – Part II



Posted by: Sasirekha R
Apache, Big Data, Hadoop, NoSQL, open source, Scalability

Hadoop Database for Big Data - Part II

HBase

HBase uses a data model similar to that of Google's Bigtable. Data is logically organized into tables, rows and columns. A data row has a sortable row key and an arbitrary number of columns....


December 1, 2010  12:26 AM

Hadoop Database for Big Data – Part I



Posted by: Sasirekha R
Apache, Big Data, Hadoop, IBM, NoSQL, open source, Scalability

Continued »


November 15, 2010  3:23 AM

Understanding Elastic Caching Plaftorms – IBM eXtreme Scale



Posted by: Sasirekha R
cache, Cloud, Elastic Caching Platform, eXtreme Scale, Forrester, grid, IBM, latency, NoSQL, Scalability, shard

Understanding Elastic Caching Plaftorms - IBM eXtreme Scale

Data Caching is a standard technique used for improving application performance. Local caching, though the fastest, is not able to scale and caching multiple copies of the...


November 3, 2010  3:01 AM

Neo4j, the Database for high performance traversals



Posted by: Sasirekha R
graph database, Lucene, Neo4j, NoSQL, Scalability, traversal

Neo4j, the Graph Database - for high performance traversals

Currently there are many areas - the Semantic web movement (of W3C), content management, bioinformatics, artificial intelligence, social networks, business intelligence...


October 4, 2010  5:05 AM

New Approaches to Data Replication – the key to distributed applications



Posted by: Sasirekha R
Consistency, distributed data storage, Eventual Consistency, fault tolerant, integrity, NoSQL, Replication, Scalability

Data Replication - the key to distributed applications Data Replication, copying of data in databases to multiple locations, is an essential tool to support distributed applications (where the applications are closer to the line of business)....


October 4, 2010  4:57 AM

Eventual Consistency gives scalability and availability



Posted by: Sasirekha R
BASE, CAP Theorem, Eventual Consistency, High Availability, NoSQL, Read-your-writes, Scalability

Eventual consistency gives scalability and availability

Success of high-volume web sites such as Google, Amazon, Twitter and Facebook in using NoSQL to achieve massive parallelism, unlimited scalability and high availability has...


September 24, 2010  6:10 AM

Database Sharding – Horizontal Partitioning for massive scalability



Posted by: Sasirekha R
Consistent Hashing, DHT, distributed data storage, Google, Hash table, MapReduce, Scalability, Sharding

Database Sharding - Horizontal Partitioning for massive scalability Database Sharding (made popular by Google) is a method of horizontal partitioning in a database and the approach is highly scalable and provides improved throughput and...


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