Moving your business from disparate data sources and ad hoc reporting to a single source of truth data warehouse solution is a sign of growth in the right direction.However, data warehousing requirements differ from one company to the next, and service providers…
Continue reading 10 Questions to Help Define a Successful Data Warehouse Strategy
With the launch of our new 21-day Free Proof of Value, new users have plenty of time to begin seeing the value that Panoply adds as a part of their tech stack. In order to make sure you get the…
A recent IDC DataSphere forecast report predicts that the compound annual growth rate of global data creation and replication will reach 23% between 2020 and 2025.Another study suggests global data creation will grow to over 180 zettabytes during that same period.Continue reading 10 Benefits and Use…
Continue reading 10 Benefits and Use Cases of a Data Warehouse
Sometimes, The only thing standing between an analyst and a catastrophic management decision could be knowing the difference between the tables:_web\_user\_behavior\_v2_and _web\_user\_behavior\_new._Effective naming conventions for your data warehouses allow data analysts to do an exponentially better job…but it’s far from…
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…
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…
Continue reading The Pros and Cons of Open-source Software in Data Analytics
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…
Continue reading Data Warehouse Design: The Good, the Bad, the Ugly
Google 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
Even 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…
A 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…
Continue reading Incremental Loading: The Smarter Way to Update Data
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…
Continue reading The Analyst’s Guide to Google Ads & Successful Ad Spends
Google BigQuery is a serverless data warehouse solution that aims to be cost-effective and highly scalable, allowing businesses to analyze large amounts of data with speed and efficiency.It also comes with some very useful SQL functions that make handling common business cases much…
Continue reading 9 Most Useful BigQuery SQL Functions for Efficency
