Automate Data Pipeline To perform Incremental Load

Business Impact

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Many industries have started moving away from traditional practices, adapting AI and digitalization to address availability, scalability, and performance issues.

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According to Gartner reports, 69% of management tasks that are performed daily will be fully automated by 2022.

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Built an automated data pipeline to perform incremental uploads on a weekly basis on both development and staging servers.

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The exported normalized data will be utilized for performing competitor analysis.

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The solution reduces operation cost, improves decision making, and enhance productivity.

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Technology Stack

Solution Overview

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Generated BCP queries using ID and date fields to extract the latest data from the multiple tables present in a different database.

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Built a data pipeline to extract and upload the data to the SQL server by creating a package for each table data to perform incremental load in the SQL server.

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Uploaded data is then normalized and loaded into the staging database.

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Configured automated SQL jobs to export the normalized data as a pipe-delimited file and uploaded it to the Azure blob storage for Machine learning team analysis.

Trusted and Proven Engagement Model

  • A nondisclosure agreement (NDA) is signed to not disclose any sensitive information revealed over the course of doing business together.
  • Our NDA-driven process is established to keep clients’ data and IP safe and secure.
  • The solution discovery phase is all about knowing your target audience, writing down requirements, and creating a full scope for the project.
  • This helps clarify the goals, and limitations, and deliver quality products & services.
  • Our engagement model defines the project size, project development plan, duration, concept, POC etc.
  • Based on these scenarios, clients may agree to a particular engagement model (Fixed Bid, T&M, Dedicated Team).
  • The SOW document shall list details on project requirements, project management tools, tech stacks, deliverables, milestones, timelines, team size, hourly/monthly rate cards, billable hours and invoice details.
  • On signing the SOW, an official project kick-off meeting shall be initiated.
  • Our implementation approach, ecosystem, tools, solutions modelling, sprint plan, etc. shall be discussed during this meeting.

Our Award-Winning Team

A seasoned AI & ML team of young, dynamic and curious minds recognized with global awards for making significant impact on making human lives better

Awarded Bronze Trophy at CII National competition on Digitization, Robotics & Automation (DRA) – Industry 4.0

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5yrs

in AI & ML
Engineering

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40+

AI & ML
Projects for
reputed Clients

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50+

AI & ML
Engineers

Awarded as Winner among 1000 contestants at TechSHack Hackathon

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