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DS Integrate – An Overview

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DS Integrate – An Overview

Enterprises today are in a greater need to deliver data solutions with reduced time-to-market and limitless scalability to provide the best customer experience. Hence, most enterprises are looking out for self-service solutions that will reduce dependency on the IT industry, while increasing efficiency, agility, and ROI.

Data-driven enterprises are also in the process of modernizing their data architecture with cloud data solutions to leverage enhanced capabilities and options to achieve positive business results. With the rising need for data governance and security and the necessity for self-service data engineering platforms is imminent.

DataSwitch redefines enterprise data architecture to deliver customer-centric digital experiences by accelerating time to translate data for real-world insights. It builds future Cloud Data Platforms that drive the three key business objectives:

  • Scale decision making
  • Automate manual processes
  • Simplify complex analyses

It simplifies and accelerates the transformation and migration processes with speed, reliability, and no required coding.

DataSwitch comes with three individual components: DS Migrate, DS Integrate, and DS Democratize. Together they cover the entire data transformation life cycle. Enterprises can opt to implement one or more of these components.

Let’s quickly take a look at what DS Migrate does to set the context here!

The DS Data Modernization toolkit leverages advanced automation to migrate schema, data, and processes from legacy databases to modern database services. In simpler terms, the DS Migrate toolkit is a completely automated solution, that migrates data through data pipelines from legacy systems to cloud-native systems.

The legacy systems that DataSwitch supports include Oracle, Teradata, Netezza, Informatica, SSIS, DataStage, etc. The modern cloud platforms that DataSwitch supports include AWS RedShift, Snowflake, BigQuery, DataBricks, Spark, etc.

DS Integrate

The DS Integration toolkit is self-serviceable, business user-friendly, metadata-based, providing AI/ML-driven data aggregation. It consolidates and integrates data for domain-specific data applications.

In practicality, enterprises can use the DS Integrate to ingest and bring structure to previously unstructured data. All you need to do is to specify the structure that the data is needed in. DS Integrate will automatically generate code for the creation of the knowledge base in a format that is compatible with cloud databases like Spark, Talend, Matillion, DataBricks, etc.

Data engineers can simply upload the structured or unstructured data in a vast range of source configuration formats that include PDF, image, text, ODBC, and JDBC. The DS Integrate will adhere to all coding best practices and convert the input into a structured data catalog. This is then infused into the new cloud platform.

DS Integrate In Action

Functionalities of DS Integrate

The DS Integrate engineers a data buffet that is AI-powered and self-serviceable. The DS Integrate performs the following functions:

  1. AI Data Catalog Generation: Intuitive, AI-driven data analysis, metadata generation from poly-structured data.
  2. Predictive Data Mapping: AI/ML-driven predictive data mapping (source to target metadata mapping) for data integration.
  3. NLP-Based Data Enrichment: Busines friendly, natural language-driven real-time data enrichment.
  4. Polyglot Data Service: Automated data services pipeline built on the technology of choice.

A Case Study

Let’s look into a recent case study to elaborate. DataSwitch developed an enterprise-level solution with DS Integrate to automate the procurement process of supplier spend management for a biotech major. Earlier, the business teams within the enterprise were facing difficulty in optimizing their tail spend analysis, management, and supplier negotiation, since the process was highly manual, that too with thousands of suppliers every month. This resulted in errors, inaccuracy, and ineffective supplier negotiations leading to higher spend in the order of millions of dollars.

The data to negotiate with these suppliers were spread across multiple supplier quotes as PDFs and images, making it tedious to analyze the entire process manually. DS Integrate enabled a seamless automated conversion of this unstructured data to a structured format. The automation and its analytics reports helped the business save tens of million dollars within few months.

To know more about how DS Integrate can help scale your business, book a demo with us!

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