Data at Work - The Holistics Blog (Page 3)

Should You Use MongoDB or SQL Databases For Analytics?

Analytics on MongoDB is a completely different beast from typical business intelligence setups that you’re familiar with. Don’t expect to …

Data at Work

Startup Data 101: Building Scalable Data Infrastructure With Holistics (Rezdy Guest Post)

Infrastructure is only as good as the business value it provides. The use of data in a startup, becomes increasingly important as its number of users grows.

Data at Work

3 Things To Consider When Choosing The Right BI Tool!

Choosing an appropriate BI tool for your business can be very difficult and time consuming. In order to avoid such constraints, we …

Data at Work

3 Points to Consider When Deciding Between Google BigQuery and Amazon Redshift!

What to choose between BigQuerry and Amazon Redshift when it comes to build a cost-efficient, fast, and reliable data warehouse?

Data at Work

The Analyst Guide to Designing a Modern Data Warehouse

High level guide for data analysts and engineers starting their first data warehouse project.

Data at Work

Data Analyst or Excel Monkey? (Becoming a 10x Data Analyst)

When people think of data analytics, they often think of charts and visualizations. However, the 10x data analyst cannot just be a visualizer. There are several abilities and techniques that a data analyst requires to truly become fully empowered and effective.

Lean Analytics

Learning SQL - Why it is critical for Analysts

As a derivative of the development of technology, the importance of data to business is indisputable. Converting that information into insights becomes a business advantage. Understanding data flows to be able to work with data is essential for all Analysts.

Data at Work

How To Interview A Data Analyst Candidate

How do you usually interview a data analyst candidates? In this article, I'll share some of the guidelines and areas you can focus on when interviewing a data analyst candidate. These serve as pointers to aid with your interview.

Data at Work

Data Lake vs Data Warehouse vs Data Mart

The term "Data Lake", "Data Warehouse" and "Data Mart" are often times used interchangbly. But what are exactly the differences between these …

Lean Analytics

ETL vs ELT: How ELT is changing the BI landscape

In any organization’s analytics stack, the most intensive step usually lies is data preparation: combining, cleaning, and creating data sets that …