FAQs


At Switchboard, we imagine the data stack as a wedding cake. The top tier comprises data visualization dashboards (Tableau, Looker, Power BI etc), as well as custom applications and data science projects.

The second tier typically comprises the data lake (or warehouse), which stores the data. These are increasingly cloud-based, such as Snowflake, BigQuery, AWS or Redshift, although customers also use storage facilities such as GCS buckets with Parquet files; HDFS (Hadoop Distributed File System); or SFTP.

The third tier — where the Switchboard application sits — is what many of our customers call the ‘partner ecosystem' or ‘data ecosystem'. We call it the Data Operations (DataOps) layer — the single pane of glass that sits on top of a messy ecosystem of third-party data, APIs, JSON objects, CSVs, databases, or email. Switchboard's cloud-hosted platform provides a consistent and repeatable set of workflows and processes to bring together all this data through default standard connectors, aggregate and normalize it using a transparent technology and workflow, and load it into the EDW.

At Switchboard, we imagine the data stack as a wedding cake. The top tier comprises data visualization dashboards (Tableau, Looker, Power BI etc), as well as custom applications and data science projects.

At Switchboard, we imagine the data stack as a wedding cake. The top tier comprises data visualization dashboards (Tableau, Looker, Power BI etc), as well as custom applications and data science projects.

At Switchboard, we imagine the data stack as a wedding cake. The top tier comprises data visualization dashboards (Tableau, Looker, Power BI etc), as well as custom applications and data science projects.

At Switchboard, we imagine the data stack as a wedding cake. The top tier comprises data visualization dashboards (Tableau, Looker, Power BI etc), as well as custom applications and data science projects.

At Switchboard, we imagine the data stack as a wedding cake. The top tier comprises data visualization dashboards (Tableau, Looker, Power BI etc), as well as custom applications and data science projects.

At Switchboard, we imagine the data stack as a wedding cake. The top tier comprises data visualization dashboards (Tableau, Looker, Power BI etc), as well as custom applications and data science projects.

The second tier typically comprises the data lake (or warehouse), which stores the data. These are increasingly cloud-based, such as Snowflake, BigQuery, AWS or Redshift, although customers also use storage facilities such as GCS buckets with Parquet files; HDFS (Hadoop Distributed File System); or SFTP.

The third tier — where the Switchboard application sits — is what many of our customers call the 'partner ecosystem' or 'data ecosystem'. We call it the Data Operations (DataOps) layer — the single pane of glass that sits on top of a messy ecosystem of third-party data, APIs, JSON objects, CSVs, databases, or email. Switchboard's cloud-hosted platform provides a consistent and repeatable set of workflows and processes to bring together all this data through default standard connectors, aggregate and normalize it using a transparent technology and workflow, and load it into the EDW.

At Switchboard, we imagine the data stack as a wedding cake. The top tier comprises data visualization dashboards (Tableau, Looker, Power BI etc), as well as custom applications and data science projects.

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