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
The Top 4 Data Transformation Tools and Trends of 2022
To compete in today’s data-driven economy, companies need to be able to transform raw data and analytics into actionable insights. In order to make this happen, data has to...
- Justin Reynolds
- January 27, 2022
How to Get the Data You Need
Common obstacles preventing you from getting the data you need. Data is everywhere and is captured in many different end-points and applications, both cloud and on-premises...
- John Morrell
- January 15, 2022
