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June 03, 2015
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Answering the Big Data Bell in APAC with Investments in Australia and Beyond

Today I am excited to announce that we have made a significant expansion of our operations in Australia in response to growing demand for open enterprise Hadoop in Australia and around the APAC region.

Focused on Sydney but with the ability to execute across Australia, this year we have hired several senior sales and technical staff drawn from industry-leading technology vendors. With this additional experience, we are better able to help customers regionally with their big data needs.

Expanded support capabilities

As part of our investment we have established an APAC regional support centre in Sydney, which adds to existing hubs in the US, UK and India, and rounds out the company’s international network to deliver genuine 24/7 support for customers anywhere in the world.

This region is a key focus for Hortonworks moving forward and we have seen an uptick in customer and prospect interest. A growing number of organisations in the region are seeking help understanding what big data is and then doing something about it.

Broad based interest and adoption

Australian businesses across key verticals including financial services, telecommunications, retail, manufacturing and mining are all grappling with exponential increases in data, and are looking for new solutions to help them optimize their IT spend while creating new analytic applications for deeper insight into their business.

Apache Hadoop is one of the most important and disruptive technology platforms to emerge in enterprise IT over the past several years.

It provides both the technology and vibrant developer community to support cost-effective and efficient management of massive data sets while helping organisations extract intelligence from them.

Hadoop with a difference

Hortonworks is one of a number of commercial entities working with Hadoop, yet with a number of important differentiators.

The company recently became the first Hadoop platform provider to list on Nasdaq. It also boasts one of the most experienced Hadoop development teams, employing 24 of the original team first assembled by Yahoo! 10 years ago.

These factors all contribute to a platform solution which is transformational, pervasive and enterprise-ready.

Analyst growth predictions for the big data and data analytics markets have been consistently bullish the past few years.

McKinsey predicts that by 2020, wider adoption of data technology in the US could increase annual GDP in retailing and manufacturing by as much as $325 billion, while shaving close to $300 billion from the cost of healthcare and government services.

And clearly the message is getting through, with 40% of the Fortune 100 listed as Hortonworks subscribers, 71% of F100 retailers, 75% of F1 Telcos and 43% of F1 banks.

Big Data: good for the local economy

There is growing evidence of this trend in Australia, with IAPA (Institute of Analytics Professionals of Australia) reporting a sharp rise in the salaries offered to Australian IT professionals with solid data analytics skills and qualifications.

The median salary for analytics professionals in Australia rose 14% year-on-year from $110K to $125K, according to the IAPA Skills and Salary 2014 survey, despite the entry of low-experience and junior employees to the industry. These respondents with less than two years analytics experience, account for half of all respondents.

Clearly there is a lot of interest in big data within enterprises across Australia and APAC. With our ramp in investment and growing our local headcount with some of the best big data sales and technical people in the industry, we feel we are well positioned to help organisations take this important next step.

One of the missions of the office will be to further the work with Independent Software Vendors (ISV) and System Integrator (SI) ecosystem partners locally to help organisations take advantage of their big data.

I hope to see you at one of our regional events either in Australia or across the APAC region.

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