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Databricks + NathConsult

Your perfect partner to assist in resolving challenging business issues is NathConsult. Our team has assisted clients in transforming their data operations, carrying out extensive migrations, and extracting useful information and practical insights from their data. .




Databricks Applications

Databricks offers tools that help you connect your data sources to a platform to process, store, share, analyze, model and monetize data sets - with solutions ranging from BI to generative AI. The Databricks workspace provides a unified interface and tools for most data tasks, including: Planning and managing data processing workflows Creating dashboards and visualizations Managing security, governance, high availability and disaster recovery Data discovery, annotation and exploration Machine learning (ML) modeling, tracking and deployment of models Generative AI solutions flexibility, scalability, and reliability.


Databricks Lakehouse Accelerator

Your perfect partner to assist in resolving challenging business issues is NathConsult. Our team has assisted clients in transforming their data operations, carrying out extensive migrations, and extracting useful information and practical insights from their data. .






Databricks Database Modernization

  • In order to develop and carry out modernization strategies based on the business requirements, data models, stored procedures, ETL scripts, and enterprise technology dependencies of the customer, we can evaluate on- premises databases, including Oracle and Teradata data warehouses. .

  • Migrate ETL pipelines to Databricks

    Utilize Databricks to run Hive pipelines With little reworking, the majority of Hive workloads can operate on Databricks. Numerous HiveQL constructs are supported by the Spark SQL version that Databricks Runtime supports. By default, Databricks comes with a Hive metastore. A few main issues must be addressed in the majority of Hive migrations:

  • Hive SerDe must be upgraded in order to utilize native file codecs for Databricks.
  • Hive UDFs need to be refactored to native Spark or installed to clusters as libraries. Given that Hive UDFs are already part of the JVM, they may offer enough power for a variety of tasks.
  • Table directories need to be reorganized since Databricks utilizes partitions differently than Hive.
  • Are SQL ETL pipelines compatible with Databricks?
  • Depending on how much system-specific protocol was used in the source code, moving SQL workloads from other systems to Databricks typically involves relatively little reworking. Tables produced in Databricks with the Delta Lake default table format include transactional guarantees by default.
  • Can you run Databricks-based DBT ETL pipelines?
  • With the native integration that Databricks offers with DBT, you may use pre-existing DBT scripts with minimal reworking. For building, testing, and deploying pipelines, Delta Live Tables offers an enhanced declarative SQL syntax that is native to Databricks. Even if you can use dbt on Databricks, you might be able to operate your pipelines on Databricks for less money if you slightly change the code to use Delta Live Tables instead.
  • Can you use Databricks to execute syntax from other data systems?
  • Before executing on Databricks, ETL pipelines written in languages other than SQL, Apache Spark, or Hive may require extensive reworking. With experience assisting clients in moving from the majority of currently used data systems, Databricks may have resources available to help you expedite your migration efforts.
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    Blueprints for Data Pipeline Migration

  • Rapid supply of production-ready pipelines is made possible by templated infrastructure blueprints for data pipeline migrations. .

  • Blueprints for Data Pipeline Migration

  • Rapid supply of production-ready pipelines is made possible by templated infrastructure blueprints for data pipeline migrations. .

  • Enhancing business results with Databricks and Nathconsult

    Data science services
  • Gain valuable insights from your data with real-time analytics, AI/ML innovation, and data science to translate information into actionable insights that drive ROI. Our team of data scientists and engineers use predictive analytics and adaptive machine learning to develop scalable data solutions that enable faster, forward-looking decisions aligned with your business goals. We can help you quickly analyze and visualize complex datasets to uncover impactful insights.
  • Accelerating business outcomes with databricks

  • We help bridge the gap between business and technology by developing integrated data strategies that create a modern foundation for business intelligence and predictive analytics. Our data experts can partner with you to craft a comprehensive data strategy tailored to your needs, unlocking the full value of your data assets. .
  • Rapid supply of production-ready pipelines is made possible by templated infrastructure blueprints for data pipeline migrations. .
  • We reinvent and deliver cloud solutions for organizations.

    Take advantage of the transformative potential of the cloud now.

    Your solution is here with Nath Consulting. Contact our team of professionals to learn how we can help your organization leverage cloud, and general information technology with confidence, and achieve your business goals.

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