The major challenge with Big Data isn’t so much storing it all as it is being able to find something meaningful in it.
Alpine Data Labs took on that challenge this week with the launch of Alpine Chorus 4.0, an upgrade to its suite of analytics applications that now allow for universal data discovery and search across multiple data sources, including major distributions of Hadoop and Oracle databases.
Bruno Aziza, chief marketing officer for Alpine Data Labs, says that the unfortunate truth of Big Data is that many high-priced engineers and scientists that are hired to work on these projects spend most of their time looking for the right data to analyze. Alpine Chorus 4.0 solves that issue by enabling them or even just business users to quickly discover all the relevant data concerning a particular topic or query regardless of where it is stored, says Aziza.
Other new additions to Alpine Chorus 4.0 include bi-directional integration between Hadoop and all major data platforms, as well as compatibility with Spark and Cloudera 5.
Many of the early adopters of Big Data are not seeing the business value they expected, largely because they are overwhelmed by the amount of data that needs to be analyzed. Aziza says Alpine Data is addressing this issue by leveraging JDBC and the open source Apache Solr search engine technology.
Despite the challenges and lack of immediate results, most organizations continue to invest in Big Data. The issue now, however, may be that instead of focusing on the platform, the time has come to pay more attention to the actual analytics applications that deliver on the potential of the platform.