The volumes of digital data have been growing exponentially since the dawn of the computer revolution. By 2003 we had accumulated only 1 billion gigabytes (1 petabyte) of data, while in 2011 alone 1 trillion gigabytes was created – and much of this data does not always fit nicely into pre-existing schemas. The Big Data…

From tracking customers in online stores to tweets and blog posts, unstructured data is rapidly growing and businesses are looking for ways to analyze it. In this presentation, I will explain why storing and processing unstructured data is a challenge best answered by specialized systems such as Hadoop, I will dive into how Hadoop works…

From tracking customers in online stores to tweets and blog posts, unstructured data is rapidly growing and businesses are looking for ways to analyze it. In this presentation, I will explain why storing and processing unstructured data is a challenge best answered by specialized systems such as Hadoop, I will dive into how Hadoop works…

From tracking customers in online stores to tweets and blog posts, unstructured data is rapidly growing and businesses are looking for ways to analyze it. In this presentation, I will explain why storing and processing unstructured data is a challenge best answered by specialized systems such as Hadoop, I will dive into how Hadoop works…

From tracking customers in online stores to tweets and blog posts, unstructured data is rapidly growing and businesses are looking for ways to analyze it. In this presentation, I will explain why storing and processing unstructured data is a challenge best answered by specialized systems such as Hadoop, I will dive into how Hadoop works…

Hadoop has become a popular platform for managing large datasets of structured and unstructured data. It does not replace existing infrastructure, but instead augments them. Most companies will still use relational databases for transaction processing and low-latency queries, but can benefit from Hadoop for reporting, machine learning or ETL.

Hadoop has become a popular platform for managing large datasets of structured and unstructured data. It does not replace existing infrastructure, but instead augments them. Most companies will still use relational databases for transaction processing and low-latency queries, but can benefit from Hadoop for reporting, machine learning or ETL.

Hadoop has become a popular platform for managing large datasets of structured and unstructured data. It does not replace existing infrastructure, but instead augments them. Most companies will still use relational databases for transaction processing and low-latency queries, but can benefit from Hadoop for reporting, machine learning or ETL.

Hadoop has become a popular platform for managing large datasets of structured and unstructured data. It does not replace existing infrastructure, but instead augments them. Most companies will still use relational databases for transaction processing and low-latency queries, but can benefit from Hadoop for reporting, machine learning or ETL.

Originally Broadcasted: January 9th, 2013 Featured Speaker: Gwen Shapira, Senior Consultant From tracking customers in online stores to tweets and blog posts, unstructured data is rapidly growing and businesses are looking for ways to analyze it. In this presentation, I will explain why storing and processing unstructured data is a challenge best answered by specialized…