Datameer Blog

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How to Optimize Your Data Stack on Snowflake

How to Transform Your Data in Snowflake: Part 2

In How to Transform Data in Snowflake: Part 1, we discussed the three primary steps you would take to transform your data in Snowflake.  This is the T in your ELT process. ...

  • John Morrell
  • October 11, 2021
How to Optimize Your Data Stack on Snowflake

How to Transform Your Data in Snowflake: Part 1

The data modeling world is constantly evolving as new technologies are introduced.  First, it was data warehousing, then MPP data warehouses, followed by Hadoop and data la...

  • John Morrell
  • October 11, 2021
Datameer Offers Innovative New SaaS Data Transformation Solution

Datameer Offers Innovative New SaaS Data Transformation Solution

Our team here at Datameer is proud to announce that we are offering a new SaaS data transformation solution for Snowflake.  The new solution offers an innovative data model...

  • John Morrell
  • October 8, 2021
dbt

A Review of Dbt and the Top Missing Features

Dbt has become a market darling for data transformation tools – the T in your ELT data stack and processes.  The simplistic approach of dbt – SQL coding – is both its bigge...

  • John Morrell
  • September 21, 2021
The Simplest Road to a Modern Data Stack with Snowflake

The Simplest Road to a Modern Data Stack with Snowflake

The first building block of a cloud data stack starts with Snowflake.  Your analytics engine and/or cloud data warehouse is always the core component by which your data sta...

  • John Morrell
  • August 30, 2021
Five Critical Success Factors To Migrate Data to Snowflake

Five Critical Success Factors To Migrate Data to Snowflake

You’ve decided to modernize your data and analytics stack and migrate analytics workloads to the cloud – specifically Snowflake migration.  Making that decision is monument...

  • John Morrell
  • August 30, 2021
data completeness

The Role of Data Completeness in Assuring Overall Data Quality

In its early days, the term data quality was often associated with how “clean” or “dirty” a dataset was.  Quality was measured by how many erroneous, wrongly formatted, or ...

  • John Morrell
  • August 26, 2021
Innovating with Analytics blackboard

Innovating with Analytics

Great organizations are constantly transforming their business, and in today’s data-rich world, market leaders are innovating with analytics.  Incorporating analytics into ...

  • John Morrell
  • July 25, 2021
The Role of Chief Data Officers (CDOs) in 2020

The Role of Chief Data Officers (CDOs) in 2021

The Chief Data Officers role (CDOs) in 2021 is evolving as CDOs are having quite possibly their most important and challenging year in their nearly two-decade existence to ...

  • John Morrell
  • July 3, 2021
Pile of question marks printed on white cards

Does More Data Equal Better Analytics?

In our modern world of everything digital and big data, organizations are flush with available data assets that can be used for analytics. We will set aside engineering all...

  • John Morrell
  • July 1, 2021
Top 5 Fivetran competitors

Top 5 Fivetran Competitors and Alternatives

What is Fivetran?  Fivetran is a cloud-based ELT integration tool that teams can use to synchronize and replicate data into a cloud data warehouse. According to Gartner, th...

  • Justin Reynolds
  • June 15, 2021
Top 5 Matillion Competitors

Top 5 Matillion Competitors and Alternatives

Matillion ETL Review Matillion is a cloud-based ETL tool that enables teams to create and orchestrate data pipelines without writing any code. As one of the younger cloud-b...

  • Justin Reynolds
  • June 10, 2021