Report

Optimizing Business Analytics by Transforming Data in the Cloud

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Organizations need to adopt an extract, load, transform sequence to take full advantage of cloud data warehouse competitive, and agile in light of new data insights.

Companies understand the value of data. But before data can be analyzed, it must be collected and prepared for analytics engines, and this process can be inefficient and costly. Moving data to the cloud can offer significant benefits, but only if done intelligently.

Matillion and IDG Research recently conducted an IDG MarketPulse survey, which polled more than 200 IT, data science, and data engineering professionals. The survey revealed more about the growing reliance on placing data in the cloud, and what strategies companies are using to achieve the benefits of cloud-focused ETL or ELT, including automating data orchestration and transformation.

The findings from the report and recent survey are profound:

On average, organizations’ data volumes are growing at 63% per month
More than 90% of those surveyed said it was challenging to some degree to make data available in a format usable for analytics

Download the report to find out how and why the move from ETL to ELT allows an organization to take full advantage of cloud data warehouses.

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Experience the power of the cloud

Matillion is data transformation for cloud data warehouses. Only Matillion is purpose-built for Amazon Redshift, Snowflake, and Google BigQuery enabling businesses to achieve new levels of:

Simplicity

Intuitive UI and approach to data transformation makes complex tasks simple

Speed

Fast time to value, from launch to develop to production

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Built to take advantage of the power and features of Amazon Redshift, Snowflake, and Google BigQuery.

Savings

Pay as you go with no long-term commitments.

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