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Shagufta B.
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Work Experience
N/A
Present
N/A
Apr 2017 - Sep 2020 · 3 years and 5 months
N/A
Oct 2017 - Jul 2018 · 9 months
Company Details
51-200 Employees
Lyftrondata eliminates the time spent by engineers building data pipelines manually and makes data instantly available from 300+ connectors for insights on warehouse powered by Snowflake instantly. Lyftrondata Key Differentiators: > Create a Data Pipeline in Minutes: Register over 300+ types of data sources in one place. Choose the most valuable data sources and replicate them to the cloud. > Power Modern Delta Lake & Data Warehouse: Lyftrondata enables you to build a modern data warehouse and data lake in just a few clicks. Normalize all data sets and load the data to the data warehouse. Apply complex transformations with SQL when needed. > Shortens Time-to-insights: Empower data-savvy users to find and prepare the data they need for analytics. Enable real-time access to any data source from any BI tool. > Unlimited Compute: Lyftrondata enables you to compute on Databricks Spark and Snowflake. Thus, you have the flexibility to choose to compute on either of these modern platforms. > Integrate Multiple Clouds: Build a single view of data across different clouds and regions. Replicate data between different regions of the clouds and put them in sync. > Phase Transition to the Cloud: Migrate on-premise data warehouses to the cloud step-by-step. Create data pipelines for migrated data warehouses and legacy data warehouses in real-time. Not all data warehouses may be moved to the cloud in one step. > Build an Agile Data Culture: Empower data users to find and prepare the data they need in analytics. A fast data strategy based on a combination of a modern data pipeline and real-time data saves delays in data preparation. > Ensure Data Governance in the Cloud: Build a searchable data catalog of valuable data sources. Apply table, row, and column security to any data source on-premise, SaaS, or in the cloud. Build a governed data lake integrated with the enterprise active directory for authentication.
Year Founded
2019
Social Media
Linkedin
Industry
Data Infrastructure and Analytics
HQ Location
1920 Association Dr 404 Reston, Virginia 20191, US
Keywords
Data VirtualizatioETL/ELT ToolsDelta LakeColumnar Data PipelinesData ReplicatioData SharingData TransformatioData CatalogData HubSAAS ETL
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