Datameer Blog

Tag: Data Transformation

Data Wrangling

Data Wrangling for Data Analysis: How Clean Data Can Improve Your Analysis Results

This article will discuss data wrangling, why it’s essential, and the prevalent differences between data wrangling and analysis. I remember trying to solve Rubix puzz...

  • Ndz Anthony
  • January 26, 2023

dbt Snowflake: When dbt Isn’t The Best Tool for Your Analytics

This article explores the features of dbt in data transformation, the dbt-Snowflake integration, and when dbt might not be the best tool for the job. If you’re a data pract...

  • Jeffrey Agadumo
  • December 28, 2022

Ad-hoc Analytics Requiring 100+ Lines of Complex SQL? No-code Tools to the Rescue

When repeatable reports are produced, SQL is used to combine the data into the right data model, and the query is continuously reused when the report is generated.  Hence, ...

  • John Morrell
  • August 7, 2022

How Great Data Documentation Helps Your Analytics Process

Data documentation is a new term used to describe the capture and use of information about your data.  It is used mainly in the context of data transformation, whereby data...

  • John Morrell
  • August 5, 2022

Benefits of No-Code Tools to the SQL Data Engineer

The market for no-code tools is growing dramatically.  Whether in mobile development, application development, digital transformation, process re-engineering, or other area...

  • John Morrell
  • July 6, 2022

Datameer Product Update – July 2022

Datameer has released its latest version of its flagship platform – Datameer SaaS for data transformation.  This new release includes numerous new features for transf...

  • John Morrell
  • July 6, 2022

The Future of Data Engineering is No-Code

Talent shortages, a disintegrated modern data stack, and a continued programmatic approach to data engineering processes continue to hinder data engineering processes and d...

  • John Morrell
  • May 6, 2022

Large-Scale Pivot Tables in Snowflake with Datameer

Pivot tables are an everyday operation all Excel users perform.  Business analysts using Excel will often Pivot their data to explore it, see how results are different as s...

  • John Morrell
  • February 28, 2022

Snowpark for the Scala and Python developers; Datameer, for the rest of us.

In June of 2021, Snowflake introduced Snowpark, a new dataframe style developer experience for Snowflake.  In the November edition of Snowdays, Snowflake provided a preview...

  • John Morrell
  • February 14, 2022

How to pivot data in Snowflake with Datameer

I’ve noticed that some things can be a bit challenging when it comes to SQL, especially in Snowflake. For instance, pivot tables, a feature we are very comfortable doing in...

  • Datameer, Inc.
  • February 1, 2022

Introducing ELT++: Get More from Your Data Transformation

As data and analytics teams move to the cloud, many data stacks and pipelines are shifting from older ETL (extract, transform, and load) approaches to ELT (extract, load, a...

  • John Morrell
  • January 31, 2022

How To Solve The Data Engineering Talent Shortage

The demand for data engineers has consistently been more significant than the supply ever since the job title was formalized in the mid-2010s.  According to recruiting firm...

  • John Morrell
  • January 28, 2022