Blueshift™ Modern Data Platform (8-week Implementation)

Blueshift Innovations Inc.

Our Lakehouse accelerator is an all-in-one package for standing up a Data Lakehouse, using Terraform templates, DevOps components and metadata driven pipelines.

The Blueshift™ Modern Data Platform is a managed cloud-native data platform built on Azure and has been proven for internet-scale.

The Blueshift™ Modern Data Platform delivers: • Speed-to-Market: Blueshift™ Modern Data Platform and Business Accelerators reduce time to value because they are tried, tested, and true. • Confidence : Blueshift™ Modern Data Platform offers the reliable source-of-truth you can trust. • Agility: Blueshift™ Modern Data Platform is flexible and elastic, unlike traditional data warehouses with static data models & rigid ETL processes. • Lower Total Cost of Ownership (TCO): Blueshift™ DataOps services avoid expensive risks while your team learns from our experts so you can focus on your business.

The Blueshift™ Modern Data Platform uses the latest data engineering architectural patterns: • Data Lakehouse architecture pattern across all stages of the data lifecycle – from ingestion to visualization. Traditional data solutions are purpose-built for a specific stage • Data Fabric to simplify data access by automating data discovery, enabling self-service consumption and governance despite where data resides in the enterprise • Data Mesh to handle vast, distributed data consumers and views with domain-specific handling in data pipelines - unlike the monolithic architecture of legacy systems. • Data Virtualization to access data at the source without moving data, accelerating time to value with faster and more accurate queries.   • Metadata Driven to decouple data model from underlying architecture to create agility. Traditional data warehouses require static models that cannot evolve with your business. • Data Governance to processes, policies, and standards that protect data & maintain integrity, and make it available for consumers - with lineage and explainability of how and why data has moved over time. 

In this implementation, we will deliver an introductory Modern Data Platform using our Lakehouse accelerator. The accelerator simplifies setting up, configuring, and loading data into a Lakehouse so data teams can focus on what really matters - extracting value from data. Our goal is to helps clients get going faster and provides a framework to scale with. Three key aspects will be delivered:

The accelerator is an all-in-one package for standing up a Data Lakehouse:

  1. Cloud Infrastructure: The accelerator comes with Terraform templates that deploy all the necessary infrastructure needed to build a Lakehouse including a Databricks workspace, networking, storage, key stores, and an orchestration tool.
  2. Data Pipelines & Orchestration: Metadata driven pipelines to reduce the time and effort needed to ingest new sources and extract all the value out of data. The accelerator includes all the needed parts to extract, transform, load, and curate datasets into the Lakehouse paradigm.
  3. DevOps: It has all the necessary DevOps components required to run a development, testing, and production environment. Including pipelines to test, approve, and push deployments into each environment.

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