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How HelloFresh embraced Hadoop
As businesses grow, it becomes more critical for them to have a solution that will effectively handle the increasing amounts of data they generate. However, one problem that many organisations find when they are expanding is that tools that were adequate when they were developed are not able to scale along with the company.
This was the problem facing Berlin-based home meal delivery firm HelloFresh. The five-year-old firm has expanded rapidly and now delivers more than 7.5 million meals a month to 800,000 subscribers in multiple countries. Therefore, it found itself quickly outgrowing the custom-made business intelligence system it had long relied on, and needed a new solution.
In a recent interview with InformationWeek, chief technology officer at the company Nuno Simaria explained how the company had been using a home-built business intelligence system based around PHP, using a mix of a relational database and key value storage for pre-calculated data. However, as the business grew, the limitations of this became clear.
One problem was it did not offer the flexibility or detail analysts needed. While it could track essential KPIs to provide details of what was happening within the business, it was unable to offer insight into the reasons behind any changes.
"It was definitely not a good idea, but at the time it was the technology we were most comfortable with," Mr Simaria said.
The system was also approaching the limits of its capacity, so it became obvious a change was required. The company looked at several options that would offer improved big data analytics performance, including MemSQL and SAP HANA, but ultimately, it was Apache Hadoop that won out.
Part of the reason for this was its low cost compared with competitors. Because the tools can offer high performance even on inexpensive commodity hardware, there was no need for HelloFresh to upgrade these areas. This made Hadoop a highly attractive option, even though the company's team did not have much familiarity with the technology.
This led to its own challenges. Mr Simaria explained that finding skilled engineers in the market was very difficult. Therefore, the firm's approach was to give two of its existing staff the time and resources they needed to learn about the tools.
"We'll give you the budget, and we'll give you the time," he said. "This is something we've done with other technologies as well. If it is not easy for us to access talent in the market in the short term, we will empower our developers and our engineers who are interested in problem solving, and we will let them discover the complexities of that technology."
At the end of this process, the engineers had to answer three questions: is Hadoop the right technology; how can the firm migrate existing resources to it; and what distribution should be used moving forward?
The result of the Hadoop deployment is that HelloFresh now has much faster insight into goings-on within the businesses, and is also able to delve much deeper into its data in order to uncover insight.
Mr Simaria said: "This technology has allowed us to spread data-driven decision-making to anyone in the organisation, from local teams to global finance to whoever needs to use data insights to make decisions."