4 Reasons Why Hadoop Struggles to Fulfill Its Promise of Business Insights

Content Marketing Manager

It starts out with promise. Hadoop seems like an attractive way to experiment with the power of big data with low startup costs. But the fact is Hadoop implementations are rife with hidden costs and unexpected challenges:

GETTING DATA INTO HADOOP IS EASY – GETTING INSIGHTS OUT OF HADOOP IS NOT

Hadoop excels at ingesting a wide variety of data; however, this data isn’t analysis-ready. Extensive work in data cleansing and ETL is required on this massive volume of data – and since Hadoop requires complex coding, only the most specialized resources can squeeze business insight out of this data. To minimize the efforts, find an approach that makes data analysis-ready immediately upon load. 

TOO MANY TOOLS & TOO DIFFICULT TO INTEGRATE

Hadoop is a complicated ecosystem of many open source projects and commercial software. Different tools are required for different use cases. If you’re trying to meet ever-evolving business requirements, the result is a costly, never-ending systems integration effort. Look for an integrated system that has proven use cases for a wide range of enterprise needs.

SCALABLE FILE SYSTEM BUT DOESN’T SCALE TO THE ENTERPRISE

If you’re successful in gleaning insights out of your Hadoop sandbox, you now need to deliver those insights to your entire organization. As Hadoop is mainly driven by high specialized technologists, it struggles with user adoption as it is too difficult to learn and has slow performance. Instead, look for a solution that enables self-service and high concurrency.

LOW-COST? THINK AGAIN…

Hadoop is perceived as a low-cost option since it is free open-source software. But with extensive systems & data integration needs, enterprise scalability challenges, and scarce, expensive personnel required, Hadoop projects are often crushed by massive hidden costs and long deployments – it ultimately ends up struggling to meet cost savings and revenue generation goals. To get the most ROI, look for a managed cloud service that offloads back-end operations, so you can focus on analyzing and quickly deliver business value.  
 

LEARN WHAT TO DO ABOUT HADOOP’S CHALLENGES, SO YOU CAN DELIVER ON THE PROMISE OF BUSINESS INSIGHTS

Leveraging big data is necessary for success. Download this whitepaper to learn and address the challenges of Hadoop:

  • Why it’s difficult to achieve ROI with Hadoop
  • Where Hadoop hits snags with real-world deployment
  • Key requirements for achieving an enterprise-grade big data analytics solution