Now more than ever, organizations of all sizes must make data-driven decisions to stay competitive. Such large volumes of data, including those generated through user or client interactions, social media, devices, and connected hardware, can provide amazing insights and actionable intelligence when analyzed properly. These insights can help organizations improve profitability, business growth and service quality, as well as tweak product offerings and make smarter business decisions.

Sarlak Techno Systems enables data intelligence for clients through its Big Data Consulting Services including:
  • - Data Analysis and Assessments
  • - Data Integration
  • - Data Mining
  • - Data Architecture
  • - Enterprise Data Warehousing
  • - Big Data Platform Support

PLATFORM AND IMPLEMENTATION SERVICES

Utilization and analysis of available data to solve business problems calls for expertise in implementation of platforms and tools. Sarlak Techno Systems works as a partner with clients for end-to-end implementations of selected big data and analytics solutions.

  • - Hadoop Ecosystem
  • - Cloud Ecosystem
  • - MapR Platform
  • - Business Intelligence - Power BI, Tableau, Oracle BDD, etc.
  • - Streaming and Event Analytics

BIG DATA CONSULTING AND ASSESSMENTS

Although organizations today have a huge amount of data at their disposal, they seldom have the capabilities to evangelize an approach to utilize and analyze that data for gaining business insights and intelligence. Sarlak Techno Systems Big Data Consulting Services can help such organizations initiate and execute their big data strategy.

  • - Architecture Assessment
  • - Infrastructure Planning and Administration
  • - Data Analysis
  • - Platform Standardization

APPLICATION

  • - Load large sets of structured, semi-structured and unstructured data coming from UNIX, NoSQL and a variety of portfolios
  • - Reports for the BI
  • - Map Reduce jobs for data cleaning and pre-processing.
  • - Data visualization
  • - Big Data Management
  • - Big Data Analytics
  • - Data architecture including data ingestion pipeline design
  • - Data modeling and data mining
  • - Machine learning and advanced data processing,
  • - Optimizing ETL workflows
  • - Real time queries over Big Data
  • - Data Stream Processing
  • - Data Serialization
  • - Data Analytics

AREAS OF EXPERTISE

  • - Real-time analytic: Spark
  • - Processing: MapReduce
  • - Query-Engine : Hive, Impala
  • - ETL: Pig
  • - Resource Manager: YARN, Mesos
  • - Big Data Analytics
  • - Distribution: CLoudera, HortonWorks, Apache
  • - Data Integration: Flume, Sqoop
  • - NO-SQL: Hbase, MongoDB
  • - Security: Ranger, Sentry, Kerberos