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Accelerate Your Data to Insight Journey

Data Warehouse Migration | Development

  • Migrate existing / build new data warehouses on-cloud

  • “Lift and shift” or build fresh

  • Data pipelines for streaming and batch data processing

  • Data Quality, Security, Auditing, and Governance solutions

  • Legacy Data warehouses: Oracle, MS SQL Server, Teradata, or Netezza

  • Analytical databases like BigQuery, Snowflake, Redshift, Synapse, Databricks

  • Use existing reporting tools or migrate to Looker, Tableau, PowerBI, or Data Studio

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Data Warehouse | Development

  • Migrate existing data lakes to the cloud or build new data Lake on cloud

  • Use cloud storage resources to move towards Opex model

  • Build new data lakes on cloud with cloud native and open source tools (GCP Dataproc, AWS EMR, Azure Datalake, Databricks).

  • Retain integration with other on-premise data centers for existing cloud systems

  • Utilize proof of concepts to assist customer in proper technology choice

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Data Integration / Migration

  • Move data from point to point

  • Backup data in various tiers

  • Integrate data from disparate sources and systems to create a consolidated view to support functional use cases.

  • Data Migration - Migrate data using data pipelines and auditing frameworks from one of more data sources to one of more data targets.

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Data Life Cycle and Performance Considerations

  • Build the data governance and Master Data management process using MDM and Governance tools (Collibra, Informatica MDM, SAP MDG) and Cloud Tools (GCP Data Catalog, Data Lineage, Microsoft Purview).

  • Data Quality and Obfuscation - Ability to mask and obfuscate data depending on consumers, timestamp and data system

  • Performance Optimization - database performance optimization techniques, optimizing SQL queries, views. Performance at database level, application level, and inter-application movement level

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Business Intelligence

  • Self Service BI / Data Curation - Run the initiative for Self Service BI fromform scratch - data acquisition, data quality, data curation, data access and control, published datasets by user group, data stewardship process.

  • Data Visualization - Data Visualization with tools like Looker, PowerBI, Quicksight, Tableau, Qlikview

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Data Warehouse Migration | Development

  • Migrate existing / build new data warehouses on-cloud

  • “Lift and shift” or build fresh

  • Data pipelines for streaming and batch data processing

  • Data Quality, Security, Auditing, and Governance solutions

  • Legacy Data warehouses: Oracle, MS SQL Server, Teradata, or Netezza

  • Analytical databases like BigQuery, Snowflake, Redshift, Synapse, Databricks

  • Use existing reporting tools or migrate to Looker, Tableau, PowerBI, or Data Studio

Learn MoreLearn More

Data Warehouse | Development

  • Migrate existing data lakes to the cloud or build new data Lake on cloud

  • Use cloud storage resources to move towards Opex model

  • Build new data lakes on cloud with cloud native and open source tools (GCP Dataproc, AWS EMR, Azure Datalake, Databricks).

  • Retain integration with other on-premise data centers for existing cloud systems

  • Utilize proof of concepts to assist customer in proper technology choice

Learn MoreLearn More

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Work With Bespin Global

You name it, we’ve mastered it.

Our team has proven expertise in all data use cases. We have experience with traditional and new-age cloud analytics platforms, products and services on premise and on all major clouds (GCP, AWS, Azure). We'll design your project to reap all possible benefits down the road, and expand with the industry.

What We Do

Leverage our expertise to jumpstart your data journey.

Cloud computing is the future of innovation and collaboration. Make higher quality, data-backed decisions enabling scalability, performance, and overall reliability.

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01.

Data Migration

Whether it's a lift and shift for historical data workloads, replication, or a full-on migration, our team knows the right methods to minimize possible complications.

02.

Data Harmonization

Modernize and transform data workloads, integrate heterogeneous data sources, and custom data warehouse / data lake builds. Ensure seamless communication.

03.

Data Governance

BI Glossary Curation, Data Catalog / Governance, and yes, even Data Preparation and Data Wrangling. We’ll keep your data consistent, trustworthy, and protect it from misuse.

04.

Analytics & BI Migration

Business intelligence migrations can be complex and daunting. We provide analytics strategy crafting, lift and shift (as-is) migrations, as well as Rationalization / Prioritization.

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Benefits of Data & Analytics

Reshape your infrastructure for maximum opportunity.

In today’s world, the power of comprehensive data cannot be overstated. Here are just a few possible functions that our projects make possible.

Arrive at Reliable Insights, Faster

The right knowledge can put you lightyears ahead of the competition -- and cloud computing gets you there even more quickly.

Additional Upsell Opportunities

Using predictive analytics, your data can be leveraged to accurately detect and take action on likely upsells and cross-sells.

Enhance Data and App Security

Just as analytics can be used to propel revenue objectives forward, it can also be used to protect your current assets.

Increase Customer Satisfaction

Use data-backed insights to improve interactions with measurable outcomes. Assessing impact has never been easier.

Get in Touch.

Let us know about how we can help with your next project. We’re excited to hear from you and discuss what’s possible.

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