How to decide between RDBMS and HADOOP?

How to decide between RDBMS and HADOOP?

What are the differences between traditional or RDBMS and Hadoop database systems? Both traditional relational (RDBMS) and Hadoop database systems have similar functionalities in terms of collection, storage, processing, recovery, extraction and data manipulation. However, they use radically different approaches in terms of data processing, and the problems they are trying to solve. RDBMS systems … Continue reading How to decide between RDBMS and HADOOP?

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How to build with IBM and MongoDB Enterprise Document Store

How to build with IBM and MongoDB Enterprise Document Store

Why did we start on this path? It all starts with our customers’ hybrid data management strategy. The need to embrace the proliferation of data that is creating new opportunities for businesses to better understand their customers, their industry and their own operations. What do I mean by “proliferation?” Well, recent studies have suggested that … Continue reading How to build with IBM and MongoDB Enterprise Document Store

Hadoop – HDFS Overview

Hadoop – HDFS Overview

Hadoop File System was developed using distributed file system design. It is run on commodity hardware. Unlike other distributed systems, HDFS is highly faulttolerant and designed using low-cost hardware. HDFS holds very large amount of data and provides easier access. To store such huge data, the files are stored across multiple machines. These files are … Continue reading Hadoop – HDFS Overview

Big Data Analytics – Statistical Methods

Big Data Analytics – Statistical Methods

When analyzing data, it is possible to have a statistical approach. The basic tools that are needed to perform basic analysis are − Correlation analysis Analysis of Variance Hypothesis Testing When working with large datasets, it doesn’t involve a problem as these methods aren’t computationally intensive with the exception of Correlation Analysis. In this case, … Continue reading Big Data Analytics – Statistical Methods

Can Hadoop Replace a Data Warehouse?

Can Hadoop Replace a Data Warehouse?

The users I spoke with ranged from seasoned data warehouse professionals to professionals who are better described as application developers who have limited data experience. Given the diversity of users (who come from diverse organizations with diverse requirements), I got diverse ideas about what a warehouse is (and is not), plus whether or not Hadoop … Continue reading Can Hadoop Replace a Data Warehouse?