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A Definitive Guide on Top Cloud Data Warehouses and Choosing the Best One for your Enterprise

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    Data warehousing enhances the speed and efficiency of accessing various data sets, making it easier for corporate decision-makers to derive insights that influence their business and marketing initiatives.

    As enterprises look to expand their usage of the traditional data warehouses with growing data volumes, they face tremendous challenges. Let’s look at the differences between Traditional vs. Cloud Data Warehouse. In Cloud,

    • You do not need large capital expenses to get started
    • You need not worry about infra setting or license
    • You need not much staff to maintain H/W solution / OS system or VMs
    • You can scale storage and compute on demand up and down

    Download the whitepaper to learn about the leading cloud warehouse solutions, including Snowflake, Azure Synapse, Google BigQuery, and Amazon Redshift. We will go over all of the critical aspects of their architecture, features, performance, and pricing models so you can make an informed decision.

    Our Solution

    • Architected Snowflake data warehouse leveraging AWS cloud – S3, Lambda Functions
    • Leveraged Anblicks accelerator script to migrate data (Databases, Schema, Views, Tables, Triggers, SPs/ Transformation jobs) to Snowflake
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