Birst has arrived to help those organisations looking at Apache Hadoop to wrangle big data, by providing them with the tools to make Hadoop more palatable for business users.
Birst, a business analytics software provider, has announced support for Apache Hadoop, combining the massive scale of Hadoop datasets with Birst’s multi-dimensional database. Birst is focused on making Hadoop more business-friendly, particularly for midsize organizations that have fewer resources than large enterprises.
With the combination of Birst and Hadoop, business users can now aggregate and visualise big data, such as Website interactions, social media and cloud traffic, quickly and easily, the company said. Typically, this would have required extensive extract, transform and load (ETL) processes and lots of effort – something that has prevented midsize organisations from making big data actionable.
“Business Analytics is changing as the volume of data from online Web interactions skyrockets and customers increasingly want to browse, query or merge transactional data with interaction data,” Rick Spickelmier, CTO of Birst, said in a statement. “Data in Hadoop is not well-suited for business intelligence and to make it actionable takes a lot of work. Birst’s automated multi-dimensional database allows organisations to quickly and easily take big data and make sense of it.”
Birst provides access to data stored in Hadoop and equips the business analyst with the power to discover new relationships and patterns in data without locking them into manual ETL processes. With Birst’s agile BI solution and Hadoop’s massive store, business users can now:
“Information managers must fundamentally rethink their approach to data by planning for all the dimensions of information management,” Mark Beyer, research vice president at Gartner, said in a statement. “The business’s demand for access to the vast resources of big data gives information managers an opportunity to alter the way the enterprise uses information.”
Birst support for Hadoop is included in the Birst business analytics platform at no additional charge. Hadoop support will be generally available in 30 days.
Apache Hadoop serves as a foundation of cloud computing and is at the epicentre of big data solutions, Apache Software Foundation officials said. Hadoop enables data-intensive distributed applications to work with thousands of nodes and exabytes of data. Hadoop also enables organisations to more efficiently and cost-effectively store, process, manage and analyse the growing volumes of data being created and collected every day. And it connects thousands of servers to process and analyse data at supercomputing speed.
Apache Hadoop Vice President Arun Murthy, who used to run the nearly 50,000-node Hadoop configuration at Yahoo before leaving to co-found Hortonworks, said Hadoop 1.0 is a major step for Hadoop, but there is still additional work to be done to make Hadoop even more enterprise-friendly. Some of this work is being done under the Hadoop MapReduce next-generation effort, he said. Results from this effort are expected to land in the next major release of Hadoop, which is due sometime in the middle of 2012, Murthy said.
Oracle's huge AI, Cloud investment in Japan will meet growing local demand and address digital…
People who create sexually explicit ‘deepfakes’ of adults will face prosecution under a new law…
Protest at cloud contract with Israel results in staff firings, in addition to layoffs of…
Microsoft warns of Russian influence campaigns have begun targetting upcoming US election, albeit at a…
Microsoft to avoid an EU investigation into its $13 billion investment in OpenAI, after EC…
As President Biden 'considers' request to drop Julian Assange extradition, US provides assurances to prevent…