Synapse
Transform your data with Synapse Services from Microsoft Fabric
Transform your data with Synapse Services
Today, enterprises generate massive data which must be optimized and transformed into valuable business knowledge. Our team of experienced data engineers can build a high-performing data infrastructure that will optimize your data and make it ready to meet your organization’s analytics needs.
We leverage Data Engineering, Data Warehouse, Data Science, and Real-time Analytics to simplify data architecture, reduce costs, increase profits, and help achieve your precise business goals.
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Our Approach
LevelShift is an end-to-end service provider for all your data estate needs; explore, prepare, manage, transform, and serve data—at scale.
We are a trusted, certified Microsoft Gold Partner that has helped many mid and large-scale companies manage their data needs through a broad engagement model covering consulting, implementation, support, and optimization services.
Consulting
- Assess data quality and recommend data security best practices and policy compliance
- Develop data strategy to meet ever-expanding/changing organizations’ needs
- Setup data governance framework to manage enterprise data
- Strategize and develop a roadmap for a new analytics platform
Implementation
- Data cleansing, mapping, transformation, and reporting
- SQL database lift and shift migration—Hybrid ETL/ELT approach with Azure Data Factory
- Implement on-premise to cloud integration using Azure Data Factory or Databricks
- Real-time data streaming using Azure Databricks (with Java, Scala, Python, R, etc. languages expertise)
Optimization and support
- Optimize infrastructure resources and automate data scanning for potential issues
- Monitor data warehouse and database uptime and availability
- Optimize the ETL process to minimize errors and load time
- Maintain enterprise data platforms—Data Mart, Data Lake, Data Warehouse, Data Stores, etc.
Service offerings
Data Engineering
- Create and Manage your data architectures notebook
- Spark job definitions and Spark cluster for large scale data analytics
- Data Pipelines to convert data from raw format to decision-making format
Data Warehouse
- Azure Data Lake, Azure CosmosDB, Azure Storage Service—Blobs, Files, Queues, and Tables
- Delta lakes using Data bricks
- Azure Synapse
Data Science
- Problem formulation and ideation
- Data exploration, preparation, and cleansing
- Experiments and ML Modeling
- Enrich, operationalize, and insights
Real-time Analytics
- Automatic data streaming, automatic indexing and data partitioning
- On-demand query generation and visualizations
- Streaming and time-series data
Data engineering solution
Value Proposition
Unified data access
Build a data platform on Azure and centralize your data
Lower TCO
Lower total cost of ownership, fully-managed, and always up to date
Data security
Protect your investment with built-in, intelligent security
Data quality
Cleanse data to ensure accuracy, reliability, completeness, and consistency
Data democratization
Democratize data responsibly to power broader digital transformation