For many companies, working with data lakes has become a frustrating and unsuccessful experience: instead of being focused on building analytics and improving the quality of the data lake, engineering teams often spend most of their time dealing with requests to ingest new data sources or wrangle data. As a result, they have little time left to focus on data improvement and delivering value from big data analytics. Using Kylo, our open source data lake management platform, companies are able to generate valuable insight from their data lakes faster, bringing innovation via products and services to the market at unparalleled speed.
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Think Big's enterprise-ready, open source data lake management platform, Kylo, is built on Apache Spark, NiFi and Hadoop to help organizations get the most value out of their data. Using Kylo, Think Big has been able to help customers to integrate and simplify pipeline development and data management tasks, resulting in faster time to market and greater user adoption. From data lake build struggles, to building complex transformations in just 9 weeks instead of months or even years, Kylo enables organizations to significantly reduce costs across the board.
Hadoop is difficult to get right, and most organizations will freely admit they don’t have the in-house engineering skills to successfully implement big data solutions on the Hadoop stack. In fact, at the recent Gartner Data & Analytics Summit in Sydney, Gartner research director Nick Heudecker claimed that 70 per cent of Hadoop deployments in 2017 will either fail to deliver their estimated cost savings or their predicted revenue.
Originally featured on O’Reilly. Performing business analytics on the data lake using next-gen open source tools. “This world is increasingly being driven by quantitative analysis, not qualitative. More than ever, corporate roles involved in decision-making corporate roles involved in decision-making need to have access to data and be able to make sense of it.” – … Continued
Five reasons to join Think Big and see your career skyrocket The growth in popularity of data science as a subject, coupled with the global boom in data creation, and organisations looking to maximise information through big data strategies, means that more and more people are building a career in this space. However, given the … Continued
Last week, we caught up with Jon Gleich, Principal Data Engineer at Think Big, to drill him on everything from a typical day (apparently there’s no such thing), to a data engineer’s requisite skill set, and the value of the role in customer terms. Based in Dublin, we spoke to him in Copenhagen, where he’s … Continued
The conversation around big data has grown, well, big in recent times. So much so that it is now part of the day to day vernacular for businesses around the world. Nowhere is this more prevalent than in the thriving technology ecosystem happening right now in the UK. Any organisation can leverage the exponential data … Continued
Originally featured in IT Pro Portal. There is no excuse for any modern business to operate without a big data strategy. We have moved beyond discussions about unmanageable data volumes to a time where companies can easily adopt a method to analyse and garner insights from their data to make more informed business decisions. So, … Continued
Big data dominates the headlines, yet most organizations have not figured out how to turn exponentially growing volumes of data into business value. Taking the right approach to big data, including implementing the right technologies, processes and analytics to achieve desired business outcomes, is critical.
Originally featured in IT Pro Portal. In a fast-paced market, where new big data tools are introduced frequently, companies can be confused and unable to make an informed decision on the best-suited tools and technologies. The burden of siloed legacy systems coupled with the pressure to saving costs while increasing efficiency are the hurdles many … Continued