Big Data & Data Analytics

At CONSINST, our Consultants have experience of Big Data handling & Data lakes implementation from a diverse number of projects. Our deep knowledge & expertise enables us to build Data Lakes, Predictive Analytics Models on Machine Learning.

We also provide support in identification & migrations for scoping of Big Data migrations from legacy data systems & traditional data sources.

We are qualified to support you in the following areas:

  • Big Data analysis programming languages R, Python, Ruby, C++, Java, Scala and Julia.
  • Computational frameworks including both basic tools like Excel and SQL as well as advanced frameworks like Hadoop, MapReduce, Spark, Storm, SPSS, Cognos, SAS and MATLAB.
  • Proficiency in both relational and non-relational database systems such as MySQL, Oracle, DB2, NoSQL, HDFS, MongoDB, CouchDB and Cassandra.
  • Expertise regarding data models, database design development, data mining and segmentation techniques.
  • Reporting packages Business Objects, databases SQL, MySQL, MSSQL etc.
  • Statistical packages for analysing datasets Excel, SPSS, SAS etc.
  • Mine data from primary and secondary sources. Reorganise data in a statistical format.
  • Interpret data sets in diagnostic and predictive pattern. Prepare reports that effectively communicate trends, patterns and predictions using relevant data.
  • Collaborate, process improvements, recommend system modifications and develop policies for data governance.
  • Gather and accumulate data from disparate sources, clean, organise, process and analyse it to extract valuable insights and information.
  • SQL queries to extract data from the data warehouse. Data definitions for new database files.