Case Study: An Amazingly Agile Big Data Solution Helped To Boost Performance & Cut Down Cost

The Client

Our customer is a German-Japanese automobile joint venture in the field of truck and bus manufacturing.

Business Needs

The company already owns a data platform to serve their supply chain high requirements in data volume and analytics. We assisted to consult and propose an agile solution which is expected to fasten the system and help the business grow at a reasonable cost.

The Solution

  • Analyze, design, and develop new big data platform on Azure using HDInsight, Hive, Spark, Oozie, Sqoop to archive bester performance, lower cost, and agile
  • Design and develop auto-scaling mechanism to automatically scaling up/down the cluster to save cost
  • Separate the Spark and Hive clusters
  • Migrate data from old data lake to new data platform
  • Rationalize old data transformation scripts
  • Develop new data pipelines and reports

The Benefits

  • Cost saved up to 50%
  • Performance of the system is reported 30% faster
  • Increase business agility, reduce roll-out duration of a new report