Latest Stories In: Panoply Blog - Data Management, Data Infrastructure, And Data Analysis. | Data Warehousing

Simply defined, a data warehouse is a system that pulls together data from many different sources within an organization. On top of this system, business users can ...
Data Warehousing

The Many Use-Cases Of A Data Warehouse

The PostgreSQL database serves two roles in the Tableau ecosystem:
PostgreSQL

Tableau And PostgreSQL: Two Ways Of Working Together

Data has become the lifeblood of the business. To understand and utilize all this data, data warehouses have become an essential part of modern business. Today, we ...
Data Warehousing

Redshift Vs Snowflake: The Full Comparison

Data mining is the process of deriving business insights from large or complex data sets, while data warehouses are typically the storage and processing infrastructure ...
Data Warehousing

How Your Data Warehouse Can Make Data Mining Easier And More Efficient

Data. It’s the word that that results in billion dollar valuations, that drives industries, that creates new revenue streams, and that has introduced a “New Economy” ...
ETL

Why ETL Software And Data Warehousing Are Foundational To Modern Analytics

So you’ve heard of a data warehouse, but now what? Do I need one? How can a data warehouse work for me and my business? We’ll look into the basics of a data warehouse, ...
Data Warehousing

What Is A Data Warehouse? A Tutorial For Beginners

We’re really beginning to experience another industrial revolution. That is, we’re actively entering into the ‘Age of Data.’ As you look at your own life, business, and ...
Data Warehousing

Defining The Data Warehouse: Applications In The Real World

As a company formed by data engineers and analysts, we at Panoply love data in all its forms! But when you’re working with different types of data storage and processing ...
Data Warehousing

How To Tell The Difference Between A Database And A Data Warehouse

Big Data as a Service (BDaaS) is a reality today. Increasing cloud usage, and new cloud services, mean you can set up big data infrastructure that just works—without ...
Data Warehousing

Big Data As A Service: IaaS, PaaS And SaaS

Just ten years ago, even the most advanced analytics professionals only had to manage a handful of data sources. But data volume, velocity, and variety are now ...
Data Warehousing

Data Warehousing Concepts: Everything You Need To Know In 4 Minutes

When defining your data warehouse strategy—or moving from on-premise to cloud—you’ve got lots of options. But your data warehouse is only as good as the strategy you use ...
Analytics Leadership

10 Questions To Help Define A Successful Data Warehouse Strategy

Humans are visually-motivated. When we see a movie, we’re drawn to the most beautiful and exotic settings, the most striking and recognizable actors, the biggest ...
Data Warehousing

Business Intelligence And Data Warehousing Meet: Magic Ensues

Build vs. Buy—tale as old as time, song as old as…"I need that analysis yesterday!"
Analytics Leadership

Build Vs. Buy Analysis: How Much Will That Cloud Data Warehouse Cost?

One of the biggest news items that came out of AWS re:invent 2017 was the announcement of Aurora Serverless. At first when we saw the news, we’re all 👏.
Redshift

Panoply: Making Amazon Redshift Serverless Since 2015

As an analyst who deals with data from many data sources daily, you might find yourself as the go-to source for information about business intelligence in your office. ...
Analytics Leadership

9 Things Your Boss Wants To Know About Data Warehousing

As we speak the future of cloud computing is being decided. Amazon and Google, as well as Microsoft, Snowflake, and a few others, offer multiple cloud solutions for ...
Redshift

Redshift Vs. BigQuery: The Full Comparison

Amazon Redshift is a very powerful data warehouse, optimized for analyzing massive amounts of data in a blink of a second, when configured right.
Redshift

Redshift Benchmark: A First Test Of The Entire Data Funnel

  Data analytics is a requirement for virtually every business today. However building an analytical data warehouse requires vast computing power to maintain performance ...
Data Warehousing

How To Move Your MySQL To Redshift

Data analytics allows organizations to gain insight into their business operations and find new ways to increase their revenue. However, the data sources used to provide ...
Data Warehousing

Enterprise Data Warehousing Vs Data Virtualization: The Battle

ed. note: The latest data warehouse trends report is now available. Download it today. re:Invent, Amazon Web Services' yearly conference for data scientists, analysts ...
Data Warehousing

Three Data Warehousing Trends From AWS Re:Invent 2017

Good Business Intelligence (BI), allows your organization to query data obtained from trusted sources and use the answers to gain a competitive edge in your industry. ...
Data Warehousing

Data Warehouse Design: The Good, The Bad, The Ugly

Data warehouses and data lakes are two different types of data storage repositories. Data warehouses integrate data from various sources and structures them for business ...
Data Warehousing

Key Differences Between A Data Warehouse And A Data Lake

Following the steady growth trajectory of customer onboarding, with a select-user rollout in late 2016 and a quiet launch in February 2017 that has ballooned to over 100 ...
Product

Announcing General Availability On Data Warehouse In The Cloud

Is it easy to connect to a data warehouse? Selecting the right tool can help make this connection attainable. Tableau Desktop makes this connection easy, from opening ...
BI And Data Visualization

Connecting To Data Warehouses In Tableau

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