Data at Work (31)
Real data stories on building data teams and pipelines
Data at Work Make Tableau work better for you with Holistics
Business Intelligence Business Metrics vs Customer Metrics
Business Intelligence Obsess Over Controllable Input Metrics
Why Amazon's notion of measuring controllable input metrics is a lot more profound than you might think.
Data at Work How To Choose A BI Tool - Insights from Datanest
“There is nothing so terrible as activity without insight.” Insight has become an essential need for every company in order to understand what the company is experiencing, why it happens, and what might come in handy in the future.
Using Holistics Custom SQL with Tableau? No Problems
Using custom SQL for your Tableau workbooks is usually a really bad idea. Here's how using Holistics with Tableau makes this a non-problem.
Data at Work Setup A Google BigQuery Data Warehouse In 3 Minutes
Data at Work How Data Analytics Helps MyanLearn’s Operations: Holistics Data Platform (Guest Post)
As we are still a very small startup, we do not have a dedicated data team but we want to democratize data access. Holistics plays a big role in our company by providing visualization and reporting features via connecting with our database.
dbdiagram dbdiagram.io Many to Many Relationship and Diagram Generator SQL Script
Holistics Power-ups Optimizing Embedded Analytics Dashboard Performance by Pre-transforming Data
Your embedded analytics dashboard in Holistics takes a long time to load, thus impacting your customers' experience. This post shows you how to optimize the performance of embedded dashboard by preaggregating the data.
Data at Work How Planogram and Share of Shelf (SOS) Reports Maximise Revenue for Retail and FMCG Companies
Planogram and Share of Shelf/Space (SOS) reports are key field execution reports that are important concerns for decision makers to carry out the marketing strategy. In this article, we will explain what Planogram and SOS reports are.
Data at Work 4 Case Study Questions for Interviewing Data Analysts at a Startup
A good data analyst is one who has an absolute passion for data, he/she has a strong understanding of the business/product you are running, and will be always seeking meaningful insights to help the team make better decisions.
Data at Work How To Setup Reporting Analytics For MongoDB
Many Mongo users get stuck going from MongoDB data to analytics. Getting data out of Mongo and into a relational database lets you build your reporting workflow.
Data at Work dbdiagram.io - A Database Diagram Designer Built for Developers and Analysts
Data at Work What is a Pivot Table?
Data at Work How Do I Prepare for A Data Analyst Interview?
Preparing for a data analyst interview can be intimidating. Learn a few tips to help you prepare your interview better.
Data at Work Automating Email Reports from Big Data Lakes (Qubole+Holistics)
Struggling to draw insights regularly from your data lake? Accessing data lakes for timely insights does not need to be technical or difficult. Using Holistics and Qubole, you can schedule reports to be emailed automatically, from your data lake straight to your inbox.
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!
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
Lean Analytics ETL vs ELT: How ELT is changing the BI landscape
Lean Analytics Holistics Data Transforms for Performance & Clarity
How Holistics help to join, standardize, clean, pre-process, transform data for reporting.
Data at Work Combining Data Sources: The Holistics Approach
How Holistics Business Intelligence helps customers combine data from different sources. Without storing their data.
Lean Analytics Combining Data Sources: Approaches & Considerations
Analyze how the way different vendors addresses the problem of combing data from different sources
Holistics Power-ups Creating A Culture Of Metrics With Metric Sheets
Engineering Moving From Redshift to Presto - Data Engineering at Grab
Data at Work