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Turning complex data into useful insights to drive growth.
Create a scalable and adaptable data architecture tailored to your business objectives.
Develop ETL processes using our data processing services. Enhance data quality and analytics.
Transfer data from legacy systems to modern environments. Maintain data integrity with no downtime.
Set up advanced real-time data processing systems capable of handling and storing streaming data instantaneously.
Integrate diverse data sources into a unified system. Coherently manage your data for analysis and insight generation.
Establish data governance frameworks and enhance data reliability with our data governance services.
Handle, manage, and process large-scale data sets with our big data processing solutions.
Get reliable Level 1 and Level 2 support for your data systems to ensure smooth operation.
Centralize and optimize your data storage for efficient retrieval and analysis.
Streamline and secure your data operations with database administration, performance tuning, data security, and more.
Build effective data warehousing solutions that consolidate data into a single repository.
Enhance your data efficiency with our data pipeline services. Automate data processes for pipeline management.
On-premises database grapples with inefficiencies, causing delays in critical data access. High operational costs strain budgets, and security concerns risk data breaches and compromise confidentiality.
Enhancing Operational Efficiency and Flexibility through On-Premises to Azure SQL Database Migration. migration to Azure Database optimizes operational efficiency and also introduces cost-effective cloud solutions, minimizing cost associated with on-premises maintenance.
Cost Efficiency achieved through Azure SQL Database migration(Savings up to 88% on Azure SQL Database). Improved scalability ensures optimal performance during peak periods, enhancing the user experience. Robust business continuity and disaster recovery features, including automated backups and geo-replication (up to 99.995% availability SLA). Mitigate the risk of data breaches and demonstrate a commitment to maintaining data integrity.
Growing expenses associated with Databricks usage. Integration challenges with other services like AWS (Amazon Web Services), Google Sheets, Tableau and Inability to perform efficiently to handle growing business volumes.
The migration from Databricks to Google Cloud Platform (GCP) positions Client for enhanced operational efficiency, cost optimization, and fortified data security. Leveraging GCP’s Dataproc, BigQuery and GCP’s flexible pricing model optimizes costs.
Experience significant cost savings, potentially up to 40-45% on GCP services. Attain improved scalability and performance, ensuring seamless operations during peak periods. Elevate the user experience. Consolidate operations onto a single platform – GCP – streamlining workflows and providing a comprehensive solution for diverse business needs. Unify data processes, analytics, and storage for enhanced operational simplicity.
Expertise in developing data engineering solutions that using technologies such as Big Query, Redshift, Synapse,Databricks hive, pig, spark, SQL, Cassandra, MongoDB, Hbase, AirFlow
Implementing well-structured data APIs to ensure seamless dataset integration.
6+ years of proven experience in delivering comprehensive services, including data engineering consulting and innovative solutions.
Expertise in implementing cross-industry solutions tailored to flexible engagement models.
Strategic partnerships with leading companies like Microsoft, Salesforce, IBM, Powerbi and more
A strong team of skilled professionals spanning the India, Middle East and South America
Discover how our Generative Al and Data Science services can transform your business.
We offer a comprehensive suite of data analytics services, including descriptive, diagnostic, predictive, and prescriptive analytics, tailored to meet your specific business needs. Our solutions help you gain actionable insights and drive data-driven strategies.
We serve a wide range of industries, including finance, healthcare, retail, manufacturing, logistics, telecommunications, and more. Our tailored solutions cater to each industry’s unique needs, ensuring optimal results and insights.
Yes, we offer cloud-based data engineering solutions that provide scalability, flexibility, and cost-efficiency. We work with leading cloud platforms such as AWS, Azure, and Google Cloud to deliver tailored solutions that meet your business needs.
We provide a range of data migration services, including on-premises to cloud migrations, database migrations, application migrations, and legacy system migrations, ensuring seamless transitions and data integrity.
Yes, we provide comprehensive data quality assessments and audits to identify issues, improve data integrity, and ensure compliance with industry standards. Our experts deliver actionable recommendations for enhancing data quality.
We implement strict data security protocols, including encryption, access controls, and compliance with industry standards such as GDPR. Our commitment ensures your data remains secure and confidential.
The timeline for a data analytics project varies based on complexity and scope. We work efficiently to deliver insights promptly, with clear communication and project management to meet your deadlines.
We believe in value creation and positive impact to our customer communities in co-creating models and analytical applications.
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