Discover the power of Dextrus in your preferred workspace
Choose Another Product
Dextrus Cloud
dextrus-broucher
  • Try your use cases with sample data provided
  • Free trial for 15-days or 120Hrs of VM uptime
  • Contact RightData for any questions
Launch Dextrus Cloud Trial
Request Demo
dextrus-broucher
  • Interactive discovery calls to understand the problem statement.
  • Personalized and tailored demos are presented.
Demo Request
Client’s Private Cloud
dextrus-broucher
  • Dextrus application gets deployed in your own AWS private cloud
  • Try your use cases with your own data
  • Contact RightData for any questions
Coming Soon...
dextrus-broucher
dextrus-background
Discover RDt’s power in your preferred workspace
Choose Another Product
RDt Cloud
dextrus-broucher
  • Try your use cases with sample data sources. Check out the pre-configured examples of typical use cases.
  • Free trial for 15-days.
  • Contact RightData for any questions
Launch RDt Cloud Trial
Client’s Private Cloud
dextrus-broucher
  • RDt application gets deployed in your own private cloud.
  • Try your use cases with your own data
  • Contact RightData for any questions
Launch RDt on Client Cloud
Demo Request
dextrus-broucher
  • Interactive discovery calls to understand the problem statement
  • Personalized and tailored demos are presented
Demo Request
dextrus-broucher
dextrus-broucher
Click on the best RightData product
that matches your needs.
Dextrus is a purpose-built cloud powered Self-service, Data integration and Data science solution, for all data practitioners.
TRY DEXTRUS NOW
RightData product is a no-code data testing, reconciliation and validation suite.
TRY RDt NOW
dextrus-broucher
dextrus-background
Great choice!
Select the platform to try Dextrus
dextrus-background
Coming Soon...
dextrus-background
Coming Soon...
dextrus-broucher
dextrus-background
Great choice!
Select the platform to try RDt
dextrus-broucher
dextrus-background
data-migration
Dextrus Solution

Data Pipeline Orchestration

solution-sepreator

In any Enterprise, the journey of data is long and complicated as it goes through complex processing before it becomes an information asset. This journey starts from several sources, structured and unstructured (including semi-structured), being ingested, integrated, transformed, enriched, and persisted into a central data repository (Delta lake or Lakehouse) for enabling self-service data consumption for Analytics and Predictive needs.

As part of the SDLC practices during the Discovery and Design phases, Data Modeling occurs which establishes a data architecture blueprint that outlines what standards and approaches need adhered to develop robust & fail safe engineering pipelines to make a data product fit for purpose for downstream applications enabling further end-user exploration. Though it may sound simple, at every stage, as data gets processed based on the complex business rules, it is imperative to have visibility over the end-to-end data value chain with a unilateral goal for providing reliable and trustworthy data on a timely basis.
Data volumes are growing tremendously and the importance of real-time availability of data for analytics is also growing. To make this entire process run in an automated fashion, a stable Orchestration Mechanism is needed. Orchestration helps streamline and logically sequence data engineering operations on an on-going basis.
Expectations from Orchestration
For every project a Data engineering team handles to cater the needs of business teams, the team builds numerous complex pipelines. The right Orchestration tool should be able to -
  • Schedule the pipelines to run at desired frequency without any interruption
  • Give flexibility to data engineers to configure and maintain dependencies appropriately
  • Send timely actionable alerts and notifications to the stakeholders teams in case of success or failure of a pipeline run
  • Help the engineering teams through a easy to adopt interface to enable orchestration, so that efficient scheduling of jobs can be achieved faster and quicker
  • Provide fail-safe options for planned system maintenance or for any other unplanned events
Benefits of Orchestration
Pipeline orchestration tools are integral to faster implementation of data pipelines. Organizations need a solid approach to manage a variety of complex datasets with large-scale storage and migration needs. An orchestration strategy is key to maintaining data integrity and minimizing time and cost to market.
With the proper capabilities, your data team can create optimized data management processes sooner. Data orchestration helps you move seamlessly toward an optimized data systems and pipelines while requiring less investment of time and expenses.
By selecting the right tool for analytics orchestration your team can reap key advantages such as:
  • Increased productivity: Companies can rely on data orchestration tools to maintain and manage data through automation and strategic organization.
  • Improved cost-efficiency: Enabling end-user self-service, this solution can help business manage data more efficiently at a limited cost through higher trust in data.
  • Optimized standardization: Analytics tools standardized all data, eliminating manual transformation requirements thereby minimizing any human error.
  • Reliable compliance: Through data orchestration, companies gain additional tools to support compliance and privacy laws. They can also demonstrate ethical data gathering via these tools.
  • Streamlined processes: Overall, data orchestration optimizes and enforces best practices for data governance, credibility and effectiveness.
In conclusion an Orchestration solution needs to enable speed to market, while putting a higher emphasis on lowered TCO (total cost of ownership) where data teams spend less time integrating discrete pipelines and instead lend focus to other high priority engineering tasks (like building a data pipeline).
How Dextrus Can Help?
Dextrus is a comprehensive data platform with several built-in solutions to cater all the activities in data engineering process. Job Scheduler is one of the components that can be leveraged to orchestrate the data movement from the source to the target platforms with a user-friendly interface and can help you achieve the objective with simple drag and drop functionality.
solution page seperator

Would you like to know more about the Product ?