Remove category mysql
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Unlocking near real-time analytics with petabytes of transaction data using Amazon Aurora Zero-ETL integration with Amazon Redshift and dbt Cloud

AWS Big Data

In this post, we explore how to use Aurora MySQL-Compatible Edition Zero-ETL integration with Amazon Redshift and dbt Cloud to enable near real-time analytics. The transactional data from this website is loaded into an Aurora MySQL 3.05.0 (or dbt Cloud is a hosted service that helps data teams productionize dbt deployments.

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What’s new in CDP Private Cloud Base 7.1.6?

Cloudera

In this blog we will cover the new features in the 7.1.6 delivers benefits in the following categories: Better Upgrade Support . Support for complex x-row/x-table distributed transactions that runs TPC-C benchmarks alongside support for ANSI SQL makes it easy to migrate from MySQL databases to Operational Database.

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Analyst, Scientist, or Specialist? Choosing Your Data Job Title

Sisense

The distinction between all three categories can become blurred, for example if a business analyst also provides code for new business systems and applications. With strong technical abilities, database specialists are likely to be at ease with both SQL databases like MySQL and PostgreSQL, and NoSQL technologies such as MongoDB and Redis.

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How To Create Data Reports That Will Skyrocket Your Business Performance

datapine

No matter if you’re an analyst working with databases and need a strong MySQL reporting tool or a marketing professional looking to consolidate all your channels under the same data-umbrella, the software will enable you to clear the clutter and automate your reports based on your specific time intervals.

Reporting 127
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How to Build a Performant Data Warehouse in Redshift

Sisense

This blog is intended to give an overview of the considerations you’ll want to make as you build your Redshift data warehouse to ensure you are getting the optimal performance. Redshift offers four options for node types that are split into two categories: dense compute and dense storage. Let’s say your use case fits an OLAP database.

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How to get powerful and actionable insights from any and all of your data, without delay

Cloudera

A North American telecom company struggled for years trying to react quickly enough to new categories and new levels of spam texts and calls. To learn how to get started and how to build simple dashboards and advanced applications, using this tool, look for a series of future ‘how to’ blog posts. Today’s data tool challenges.