Advantages of DPMS

How it works

DPMS helps to transfer your data through cloud tools like Google Data flow, Data fusion, storage transfer service, Bigquery transfer service, AWS data pipeline, AWS Glue, Azure’s data transfer tools, Snowflake snow pipes etc. Also you can monitor various cloud pipelines at one place.

bizstats dpms how its work

Target

Data pipeline design starts from the Target (ie. Endpoint). Target is where the data is finally stored while moving data from various sources. Depending on the use case target will have a predefined data model. (Effortlessly convert your analytical use cases to data model using Bizstats D3K)

bizstats dpms target cloud

bizstats dpms target db table

User Action
  1. Connect the target database / dataset / schema with required permission
  2. Explore and choose the tables

Stage

While moving data from source to destination (target), stage the data in some cloud storage location with all data lake features. DPMS automatically builds the data lake for selected tables with folder structures, sample files with expected table structure.

bizstats dpms stage

User action
  1. Connect the cloud stage with required permission
  2. Allow to write the folder structure and sample files to the connected cloud storage

Stage pipe

Stage pipe is a data pipeline between source to stage. DPMS will assist with all required data for creating the data pipeline in the chosen data transfer tool. Once it is created DPMS starts to track each data pipeline.

bizstats dpms stage pipe

User action
  1. Find the data transfer tools which supports the data source
  2. Connect that data transfer tool with required permission
  3. Start creating the data pipeline using that data transfer tool for each pipe

Target pipe

Target pipe is a data pipeline between Stage to Target. DPMS will assist with all required data for creating the data pipeline in the chosen data transfer tool. Once it is created DPMS starts to track each data pipeline.

bizstats dpms target pipe

User action
  1. Find the data transfer tools
  2. Connect that data transfer tool with required permission
  3. Start creating the data pipeline using that data transfer tool
  4. After creating the one pipeline there is a option to available clone the remaining pipes

Pipeline dashboard

List of all the data pipelines created for the specific project in one place. Track each pipeline and its current and past status.

DPMS Features

Create data transfer pipelines in minutes with step-by-step guide using leading transfer tools like Storage Transfer Service, Bigquery Transfer Service, Google DataFlow, Google Data Fusion, AWS Glue, AWS Data Pipeline, SnowPipe etc...

Choose target cloud

Choose your Target cloud in which your target data warehouse exists.

Choose target

Select your Target and choose an appropriate cloud data warehouse to create a connection. BizStats.AI currently supports the following data warehouses, BigQuery Google, Snowflake & AWS Redshift. Select target tables for data transferring.

Create stage

Decide which cloud storage you want to use for staging. Confirm the stage which you have connected and confirm the tables you have chosen. This operation will create stage folders and sample files for data transferring.

Transfer tools

DPMS supports various destinations including Google BigQuery, Amazon Redshift, Snowflake Data Warehouses. Also it supports various Data Transfer tools like Bigquery Transfer Service, Storage Transfer Service, Google Dataflow, Google Data Fusion, AWS Glue, AWS Data Pipeline and snowpipe etc.

Create stage pipes

Step by step pipeline creation process will be shown. You can also change the transfer tool with the dropdown shown. Follow the steps with copying the destination values and create a pipeline in the transfer tool which you selected.

Create target pipes

Step by step pipeline creation process will be shown. You can also change the transfer tool with the dropdown shown. Follow the steps with copying the destination values and create a pipeline in the transfer tool which you selected. Create only one target pipeline manually and clone rest.

Pipeline dashboard

You can monitor the status of Source to stage pipes, stage to target pipes and overall in Dashboard. Monitor various cloud pipelines at one place.

DPMS Architecture

DPMS helps to monitor various cloud data pipelines at one place

DPMS Architecture

FAQ

DPMS pre-sale questions

DPMS stands for Data Pipeline Management Systems, that means DPMS helps to transfer your data through cloud tools like Google Data flow, Data fusion, storage transfer service, Bigquery transfer service, AWS data pipeline, AWS Glue, Azure’s data transfer tools, Snowflake snow pipes etc & you can monitor various cloud pipelines at one place.
Sure, your cloud credentials will be secured by end-to-end encryption. We can perform tasks only provided permissions by you.
It takes only a few minutes to setup without any coding
DPMS will not transfer any of your data. Data transfer only happens in the cloud tool which you selected for the data transfer pipeline. If there is streaming available in the cloud tool, it is possible.
Yes, you can schedule your data transfer with the cloud tool which you selected for the data transfer pipeline.

Easily build data pipelines with DPMS

Productionalize and maintain data pipelines from various sources to leading cloud data warehouse in few clicks. Spontaneously monitor these data pipelines at one place.

Signup Now
logo