Panoply.io - A blog about data management and data infrastructure

Technical insights and creative ideas about data management, data infrastructure, and data analysis.

Subscribe to our emails and get Panoply updates on the fly.

Data Management

Database or Data Warehouse - Which is Right For You?

The future of any successful enterprise will hinge on its ability to harness and use massive amounts of data currently available, to improve productivity, decrease costs, and increase profits. How....

[+]
Written by An Bui |November 07, 2017

Data Management

The Basics of Data Warehouse Automation

In the past, designing a data warehouse has taken too long to complete. Executing numerous semi-automated steps results in a data warehouse that was limited and inflexible. This limitation caused....

[+]
Written by Cheryl Adams |October 05, 2017

Data Management

ELT vs. ETL by Design

The traditional approach for handling data warehousing as an analytical task has been Extact , Transform, and Load (ETL). However, in recent years, there has been an explosion in the types and....

[+]
Written by Cheryl Adams |September 19, 2017

Data Management

Data Management Best Practices for Cloud Computing

As more organizations begin their journey to the cloud, they need to plan how they will apply the best practices of data management to ensure that cloud-based, data-driven use cases are successful....

[+]
Written by Cheryl Adams |September 19, 2017

From raw data to analysis in under 10 minutes.

Sign up now for a demo or a free trail of the Panoply.io platform.

Learn more about platform features

Data Management

Enterprises Eye Big Benefits from Cloud Data Warehouses

There’s no question that the cloud offers many potential benefits. Major companies everywhere are lining up to reap the benefits by moving their back-office systems to cloud-based data warehouse....

[+]
Written by Cheryl Adams |September 12, 2017

Data Management

The Organization of Data Management

Designing a database schema is the first step in building a foundation in data management. Ineffective schema design can creates databases that are heavy consumers of memory and other resources,....

[+]
Written by Cheryl Adams |August 31, 2017

Data Management

CouchDB vs MongoDB

Whether your database needs to run on a mobile device or scale to a humongous size, this post has you covered with CouchDB vs. MongoDB. One of these databases can run on your phone while the other....

[+]
Written by Matan Sarig |June 12, 2017

Data Management

Redis vs MongoDB

The battle of the NoSQL databases continues. We first analyzed Cassandra vs MongoDB. This time we will dig in Redis vs MongoDB.

[+]
Written by Matan Sarig |May 29, 2017

Data Management

The Rise of Infrastructure as a Service (IaaS)

In today’s fast-paced competitive market, there are critical advantages to utilizing infrastructure-as-a-service, especially for businesses concerned about fast-tracking their analytics....

[+]
Written by Yaniv Leven |May 25, 2017

Data Management

Cassandra vs MongoDB

When it comes to NoSQL databases, MongoDB and Cassandra may seem similar but are actually quite different. Both have similar use cases, but are not intended for transactional data (i.e. accounting....

[+]
Written by Matan Sarig |May 08, 2017

Data Management

MongoDB vs MySQL: the differences explained

MySQL has become an inexpensive option for organizations around the globe that need a relational database. However, as the variety and volume of data has increased in recent years, non-relational....

[+]
Written by Matan Sarig |April 10, 2017

Data Management

MariaDB vs MySQL. A Comparative

Healthy competition can bring out the best in organizations. Just look at companies like Coke and Pepsi or General Motors and Ford, all of which were obsessed with outdoing the other while the....

[+]
Written by Matan Sarig |March 28, 2017

Data Management

Five Data Tasks That Keep Data Engineers Awake at Night

As a data engineer, I enjoy my work, but when it comes  to integrating and managing data  there are quite a few tasks that are downright tedious. From data remodeling to juggling a hodgepodge of....

[+]
Written by Yaniv Leven |March 23, 2017

Data Management

“I choose you!” - criteria for selecting a data warehouse platform

I loved this line from an article I recently stumbled upon:  “Choosing between the different types of data warehouse platforms can be simplified once you know which deployment option best meets....

[+]
Written by Yaniv Leven |March 16, 2017

Data Management

SQL or NoSQL, That Is The Question!

We all know that in the database technology world, it comes down to two main database types – SQL (relational) and NoSQL (non-relational). The differences between them are rooted in the way they....

[+]
Written by Alon Brody |March 09, 2017

Data Management

Redshift Security - Encrypting Loads with S3/KMS/Lambda

One of the main goals of this blog is to help developers and data architects, just like us, with their Amazon Redshift operations. Starting from a full comparison with Google BigQuery, explaining....

[+]
Written by Alon Brody |February 22, 2017

Data Management

Step-by-Step: Loading Data from Google Analytics to Redshift

The basic free Google Analytics (GA) functionality is great for small and medium websites and mobile applications, but as your online business expands, you will start looking to get more of this....

[+]
Written by Alon Brody |January 24, 2017

Data Management

The Cloud Is Disrupting Data Warehousing and This 2017 Survey Proves It

Amazon re:Invent is a great place to gather feedback from industry professionals, and especially gauge cloud-industry trends. This past year, we used the opportunity to collect and analyze....

[+]
Written by Peter Gorne |January 18, 2017

Data Management

11 Great ETL Tools, and the Case for Saying “No” to ETL

Extract, Transform, and Load (ETL) is a data warehousing process that uses batch processing to help business users analyze and report on data relevant to their business focus. The ETL process....

[+]
Written by Alon Brody |January 09, 2017

Data Management

Data Augmentation: Bringing New Life to Your Data

If you recognize your data as an asset, than augmenting it simply means growing your business assets. With data augmentation, you can run manipulations on existing data, use multiple sources from....

[+]
Written by Yaniv Leven |December 13, 2016

Data Management

How to Move Your MySQL to Redshift

 

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

[+]
Written by Roi Avinoam |November 21, 2016

Data Management

ETL vs ELT: The Difference is in the How

For the last couple of decades ETL (extract, transform, load) has been the traditional approach for data warehousing and analytics. The ELT (extract, load, transform) approach changes the old....

[+]
Written by Roi Avinoam |November 06, 2016

Data Management

Castles in the Cloud: Tips for Cloud Infrastructure

The cloud, unlike the Force, is not a mystical energy that surrounds us and binds us.

[+]
Written by Ken Saggy |August 15, 2016

Data Management

Data Dithering: How White Noise Can Improve Data Importing

Data and music have much in common given that both tell stories with points and notes, yet each on its own lacks the coherence and context that distinguishes music from noise. Paradoxically, in....

[+]
Written by Alon Weissfeld |May 09, 2016

Data Management

The Syntax of Semi-Structured Data

The byproduct of the ever increasing integration of the internet in our daily lives is massive growth of data transitioning between applications and servers every minute. In order to make these....

[+]
Written by Oshri Bienhaker |April 25, 2016

Panoply.io Labs Data Management

Introducing Panoply.io’s Upsert Mechanism

One of the most critical issue in data warehouse management is avoiding duplications. When you are periodically loading data into your data warehouse you will want to skip the rows that have been....

[+]
Written by Alon Brody |March 28, 2016

Data Management

Data Warehouse Automation. A Question of When Not If

The premise that to build a perfect data warehouse you must have perfect business understanding is simply irrelevant. We must look to technology to empower us to keep pace with our rapidly....

[+]
Written by Yaniv Leven |March 14, 2016

Data Management

How Data Structures Impact the Data Warehouse

This is the second part in a 101 series covering Big Data concepts, terminology and technology.

[+]
Written by Moran Gilad Halevi |February 29, 2016

Data Management

The fallacy of One Data Technology to Rule Them All

As a species we’ve invented some pretty nifty things. It’s practically consensus that the wheel, the printing press and the internet top the list but we don’t need to look that far back to find....

[+]
Written by Roi Avinoam |February 16, 2016

Data Management

Go Raw: Why Raw Data Reigns Supreme

ETL processes (extract, transform and load) might be fundamentally flawed.

[+]
Written by Alon Brody |February 01, 2016

Data Management

Data Warehouse What?

This is the first part in a 101 series covering Big Data concepts, terminology and technology. Starting with the data warehouse.

[+]
Written by Moran Gilad Halevi |January 04, 2016

Data Management

Why we Built Panoply.io and what Ray Kurzweil’s Law of Accelerated Returns has to do with it

“An analysis of the history of technology shows that technological change is exponential…So we won’t experience 100 years of progress in the 21st century — it will be more like 20,000 years of....

[+]
Written by Yaniv Leven |December 23, 2015