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Moving Data to the Cloud: Data Warehouse or Data Lake?

With big data, data warehouses, data lakes, it is easy to get confused about the pros and cons and what to use where. In the past two years, for instance,... [+]


Data Warehouse Trends Report 2017

More than 800 respondents and attendants to AWS RE:Invent conference held in Las Vegas in December 2016 shared feedback about data warehouse trends. [+]


Redshift vs BigQuery - Closing the Gaps in Data Warehousing

In this report we analyze some of the latest benchmarks and comparative research for AWS Redshift and Google BigQuery that has been capturing the Media attention in the late months.... [+]


Leveraging AWS to Overcome Data Warehousing Complexity

Data warehouse systems have evolved over time as overall computer performance increased. This evolution has allowed businesses to collect more data from more [+]

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Case Studies

HoneyBook Case Study

When Honeybook moved to Panoply, they replaced the Vanilla Redshift cluster with a Panoply Powered AWS stack and immediately transferred all of their ETL management to Panoply’s pipeline dashboard. [+]

Case Studies

Zeek Case Study

Zeek uses Panoply to collect and connect various data sources from Mixpanel to Couchbase to Mailchimp and Zendesk and string them up together with a push of a button. [+]


Conquering Inefficiency in Data Analytics

Big data and analytics are coming to the forefront of enterprise IT requirements today and for a good reason to become a significant contributor to the bottom line. However, in... [+]


Using the Cloud to Maximize Return on Investment

Moving into a PaaS solution from a traditional on-premises solution can certainly be a leap of faith, as it requires giving up some measure of control. However, a cloud platform... [+]