Big Data Analytics Technologies
We specialize in a variety of big data analytics tools and technologies. To increase our access to cutting-edge tools, we have partnerships with Hortonworks, Cloudera, MapR, Qubole, and Tableau.
- Hadoop (Cloudera, Hortonworks, MapR, Qubole, and Microsoft HDInsight distributions)
- Apache Hive and Pig
- Apache Spark and Mahout
- Apache HBase and Cassandra
- Amazon Web Services (Data Pipeline, EMR, Redshift)
- Cloudera Impala and SQL on Hadoop
Our data analytics clients range from the financial services, music, food and beverage, healthcare, to the semiconductor industry. DesignMind’s professionals specialize in Data and System architecture, Data Sourcing, Retrieval, Cleansing and Transformation, Visualization, Predictive Analytics, Data Mining, Machine Learning, and Knowledge Discovery.
Big Data is a massive volume of both structured and unstructured data that is so large that it’s difficult to process using traditional database and software techniques. Challenges include analysis, capture, curation, search, sharing, storage, transfer, visualization, and information privacy.