Entries Categorized as 'Amazon'
by Merv Adrian | March 8, 2013 | 1 Comment
The first three posts in this series talked about performance, projects and platforms as key themes in what is beginning to feel like a watershed year for Hadoop. All three are reflected in the surprising emergence of a number of new players on the scene, as well as some new offerings from additional ones, which I’ll cover in [...]
Category: Amazon Apache Big Data Gartner Hadoop Hbase HDFS Lucene MapR MapReduce Tags: Apache, DBMS, DDN, EMC, Gartner, HANA, Hbase, HDFS, Hortonworks, HP, HPC, IBM, Intel, Lustre, MapR, MapReduce, MarkLogic, Pentaho, S3, SAP, SAS, Talend, VMware, WANdisco
by Merv Adrian | February 23, 2013 | 4 Comments
In the first two posts in this series, I talked about performance and projects as key themes in Hadoop’s watershed year. As it moves squarely into the mainstream, organizations making their first move to experiment will have to make a choice of platform. And – arguably for the first time in the early mainstreaming of an information [...]
Category: Amazon Apache Aster Big Data BigInsights Cisco Cloudera data warehouse appliance Elastic MapReduce EMC Gartner graph databases Hadoop HP IBM MapReduce NetApp Oracle Teradata Yarc Tags: Amazon, Apache, Aster, big data, Cisco, Cloudera, Elastic MapReduce, EMC, EMR, graph database, Hadoop, HP, IBM, MapReduce, NetApp, Oracle, Teradata, Yarc
by Merv Adrian | December 8, 2012 | 7 Comments
At its first re:Invent conference in Late November, Amazon announced Redshift, a new managed service for data warehousing. Amazon also offered details and customer examples that made AWS’ steady inroads toward enterprise, mainstream application acceptance very visible. Redshift is made available via MPP nodes of 2TB (XL) or 16TB (8XL), running the Paraccel PADB high-performance columnar, compressed [...]
Category: Amazon Big Data data warehouse data warehouse appliance DBMS Hadoop MapReduce Tags: Amazon, big data, data warehouse, DynamoDB, MapReduce, Paraccel, Redshift
