We are so excited to announce that Panoply has been acquired by SQream – a hybrid analytics platform that gives you the critical insights you need, when you need them – for any size data. This acquisition is part of…
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What Does a Modern Data Warehouse Do?
Data Warehousing
The enterprise data warehouse (EDW) is a fairly new entrant into the universe of databases mainly optimized for reading operations. By structuring data in a rigid schema, EDWs accommodate the need of data analysts to deliver decision-supporting insights.This article elaborates…
The Pros and Cons of Open-source Software in Data Analytics
Data Warehousing
Data analytics can mean a lot of things. Sometimes you’re delivering relevant metrics to analysis experts; other times, you’re identifying which tools, resources, and people you need for data processing.Many of the tools available to carry out data analytics work…
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Data Warehouse Design: The Good, the Bad, the Ugly
Best Practices Data Warehousing
One of the significant challenges in handling data comes from the massive amount of data your organization is most likely generating constantly. Having the ability to react quickly and accurately turns into a differential item among competitors.More and more companies…
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BigQuery Data Types Examined & Explained
Data WarehousingGoogle Cloud Platform has long been the cloud provider of choice for web analytics, with the impressive BigQuery being Google’s massively parallel processing (MPP) option. (You’ve probably heard about MPP if you’re on Hadoop.)Continue reading BigQuery Data Types Examined & Explained
Redshift Query Queues: The Complete Guide
Data Warehousing RedshiftEven the most potent database is still prone to the terrifying error any database system can face: query bottlenecks. Sometimes the systems that manage our queries can’t process in the same way as we do. So our questions return accurate…
History of Data Visualization: Pivotal Moments Analysts Can Learn From
Being Data-Driven BI and Data Visualization
Data visualization is defined as the graphical representation of information and data.Using visual elements like charts, graphs, and maps helps audiences to see and understand trends, outliers, and patterns in the data.While we may think of data visualization as a…
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5 Best Reverse ETL Tools & Their Alternatives
ETL and ELT
At some point, you will begin to recognize that there is more potential in your data than just charts and dashboards.You’ve probably thought to yourself: if I could get the data in this dashboard back to a tool like Hubspot or Salesforce, I…
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Build or Buy? Panoply vs. Self-Managed Solution (By the Numbers)
Being Data-Driven ETL and ELT
The goal of this article is to present an unbiased view and play-by-play breakdown of how much it would cost tobuild and manage your own ETL pipeline and data warehouse vs. using Panoply. This post is pretty long and detailed —and…
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Incremental Loading: The Smarter Way to Update Data
Data WarehousingA data warehouse aims to make sense of a specific subject over time by analyzing historical data. This system, also called the decision-making support system, can tackle trends as diverse as the percentage of client churn or beer consumption trends…
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Complete Guide to Data Collection for Data Science: Step-by-Step
Being Data-Driven
Did you know that data collection is one of the most time-consuming steps in the process of data science? But it’s definitely not as terrifying as data cleaning.The explosion in data production is making all organizations more data-driven.Collecting data is the…
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The Analyst’s Guide to Google Ads & Successful Ad Spends
Data Warehousing
Google Ads is Google’s platform for digital business advertisement. If you’re new to Google Ads analysis, you’ll need to understand the kind of data on the platform.With better knowledge of how to analyze a Google Ads report, you’ll understand how…
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