Expedien helps you establish the foundation for long-term success, clarify specific objectives, and generate value quickly such as identify and prioritize areas where big data can drive business value, gap analysis, readiness assessments and ecosystem blueprints, recommended organizational structure, governance models and resource needs, Big data roadmap.

Expedien helps you build Big Data applications and solutions based on Hadoop, Spark, Kafka, NoSQL and other leading platforms. Our experienced team of consultants have extensive experience with

• Configuring Cloudera, Hortonworks, and other Hadoop distributions
• Data processing using Hive, Sqoop, Pig, and Spark
• NoSQL processing with MongoDB, HBase, and others
• Development using Java, Python, and Scala
• Analytics with Spark, R, Python, and others
• Visualization and analysis with Tableau, Datameer, Alpine Data Labs, and others

Where do you begin? Expedien team helps you assess, design, develop and leverage data lake environments so that you can manage your data efficiently and keep your data trusted, secure, and ready for analytics.

Data Lake can help you with

• Collect and store any type of data, at any scale, and at low cost
• Secure the data and prevent unauthorized access
• Catalogue, search, and find the relevant data in the central repository
• Quickly and easily perform new types of data analysis
• Use a broad set of analytic engines for ad hoc analytics, real-time streaming, predictive analytics, artificial intelligence (AI), and machine learning

Our experienced team of consultants have deep expertise in

• Data Lake Architectures –Organizational and governance models; Metadata and data management; Security Models, Authentication and auditing; Recommendations for data access and provisioning; Configuration and performance optimization
• Data Lake Foundations –Trusted data treatments and publishing, Secure export and transport to Hadoop analytics zone or external platforms
• Data Lake Analytics – Modeling, Materialization and preparation for analytic and BI tools; Event-based OLAP analytics, Discovery and exploratory analytics.

The Hybrid Data Warehouse provides the best query performance and introduces agility and a sound information architecture by enabling reuse of access and integration logic across applications.

Our experienced team of consultants will help you modernize your traditional data warehouse and accomplish

• Blend disparate data sources like EDW, RDBMS, NoSQL and streaming sources effortlessly
• Replace a traditional ETL approach with a modern self-service driven approach
• Offload data and workloads from a traditional data warehouse to a significantly lower cost of storage Hadoop
• Migrate data, views, transform procedure language scripts, and reports in an automated way
• Find new opportunities for business through flexible “Schema-on-Read” access to all enterprise data, and through multi-use and multi-workload data processing on the same sets of data, from batch to real-time.
• Take a deeper look into your business facts with all-in-one self-service analytics