Data Migration to BigQuery & Databricks: A Classified Approach by Datametica (Internet Services - Other Internet Services)
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Item ID 2797421 in Category: Internet Services - Other Internet Services
Data Migration to BigQuery & Databricks: A Classified Approach by Datametica | |
Datametica specializes in cloud migration, offering comprehensive solutions for moving data from legacy platforms to modern cloud environments like Google BigQuery and Databricks. Below are the key migration paths for specific platforms: 1. Netezza to BigQuery Migration Datametica assesses Netezza environments, converting data models, schema, and SQL logic to BigQuery. The migration process includes data extraction, schema mapping, performance optimization, and post-migration testing to ensure minimal downtime and high performance on BigQuery. 2. Hadoop to Databricks Migration Migrating Hadoop workloads to Databricks involves refactoring existing ETL pipelines, leveraging Apache Spark for processing large datasets, and using Databricks' unified analytics platform for enhanced data science and machine learning capabilities. 3. Teradata to BigQuery Migration Datametica migrates Teradata systems to BigQuery by assessing data structures, migrating tables, and optimizing queries for BigQuery's architecture. The approach ensures a seamless transition to Google Cloud with minimal impact on business operations. 4. Teradata to Databricks Migration In this case, Datametica refactors Teradata SQL queries and data pipelines into Databricks' Spark-based ecosystem. They ensure high performance and scalability for analytics and data science workloads using Databricks’ advanced capabilities. Datametica ensures a smooth, cost-effective migration to cloud environments by leveraging automated tools, expertise in ETL processes, and a focus on data integrity and performance optimization for each platform transition. | |
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| Target State: All States Target City : 485 Lexington Avenue, New York, NY 10017 Last Update : Nov 14, 2024 3:07 AM Number of Views: 36 | Item Owner : Datametica Contact Email: Contact Phone: 216.529.3000 |
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2024-11-21 (0.387 sec)