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Item ID 2632200 in Category: Computers - Information Technologies
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Data Analytics Modernization & Database Migration Services - Onix | |
Unlock the full potential of your data with Onix’s industry-leading data analytics modernization and database migration services. Whether you are moving from legacy systems like Oracle, Teradata, Netezza, Hadoop, or Snowflake to a cloud-based platform like BigQuery, Databricks, or AWS, we ensure a seamless, secure, and optimized migration. Why choose Onix? 50% lower costs – Cut maintenance expenses with a cost-efficient cloud strategy 2x faster migration – Reduce downtime with an accelerated, automated migration process 100% automated data validation – Ensure data accuracy and integrity with AI-driven validation tools End-to-end database migration service – Schema conversion, ETL migration, and performance tuning Data to AI transformation – Leverage AI-powered analytics for real-time insights and smarter decision-making Business intelligence modernization – Upgrade to cloud-based BI tools for enhanced reporting and visualization Our services Database migration service – Migrate from legacy databases to modern cloud solutions Data warehouse migration – Move to scalable, cloud-native architectures ETL pipeline migration – Optimize your data workflows with seamless ETL transition Data governance and compliance – Ensure security, data quality, and regulatory adherence Cloud data lakehouse implementation – Combine structured and unstructured data for advanced analytics Proven results across industries Insurance – 55% lower maintenance costs after migrating from Netezza to BigQuery Media – 50% cost reduction and 40% performance boost post-Teradata migration Telecom – 40% cost reduction with Hadoop-to-BigQuery migration Your data, your future – start your modernization journey today.  | |
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| Target State: New York Target City : Lexington Avenue Last Update : May 21, 2025 4:38 AM Number of Views: 42 | Item Owner : Onix Contact Email: Send email to item owner Contact Phone: 02165293000 |
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2025-05-23 (0.649 sec)