SAP + Databricks Data Foundation

SAP + Databricks Data Foundation | TEK Analytics
SAP + Databricks Data Foundation

Make SAP Data Work Like a Modern Data Product with Databricks

For SAP leaders who need governed, business-ready SAP data available for analytics and AI, TEK helps organizations design and implement practical integration patterns between SAP and Databricks so SAP data can be activated for analytics and AI use cases.

Schedule an SAP + Databricks Discussion Contact TEK Analytics

Benefits

Unlock trusted SAP data for analytics, AI, and business decision-making while preserving governance and business context.

Reduced Data Access Delays

Access SAP and non-SAP data in a unified environment for faster time to insight.

Lower Integration Overhead

Leverage modern data sharing and ingestion approaches that simplify integration.

Preserved SAP Business Context

Maintain business meaning and semantics without rebuilding logic outside SAP.

Accelerated AI & Analytics

Make SAP and enterprise data available in an environment optimized for AI and ML.

Strong Governance & Control

Enable governed access through Unity Catalog and structured sharing workflows.

Bring SAP Data Into the Modern Analytics and AI Era

SAP data is rich in business context, but it is often difficult to activate across modern analytics and AI workflows. TEK helps SAP leaders create a practical SAP-to-Databricks foundation that preserves meaning, improves governance, and supports high-value business use cases.

Use Cases

Activate SAP and non-SAP data across priority business domains.

Manufacturing

  • Predictive Maintenance
  • Supply Chain and Inventory Optimization
  • Production Quality Improvement

Supply Chain

  • Demand Forecasting
  • Profitability Analysis
  • Omnichannel Service Performance

Financial Services

  • Unified Risk and Financial Analytics
  • Fraud Detection
  • Document Intelligence

Automotive

  • Optimization of Customer Incentives
  • Anomaly Detection
  • Inventory Optimization

SAP + Databricks Data Foundation

TEK helps SAP leaders design practical SAP-Databricks integration strategies that fit their landscape, governance model, and priority use cases.

SAP Business Data Cloud

Support governed access patterns that connect SAP data to modern analytics and AI use cases.

Delta Sharing

Enable structured data sharing approaches that support governance, scale, and interoperability.

SAP BW Integration

Design fit-for-purpose ingestion and integration patterns for SAP BW environments.

S/4HANA Integration

Make S/4HANA data available for business-ready analytics and AI workflows.

SAP HANA Integration

Align SAP HANA sources with practical ingestion, modeling, and governance approaches.

Datasphere Integration

Connect Datasphere and other SAP sources into a governed Databricks data foundation.

What You Get

More than pipelines: architecture, semantics, performance, data products, and operations are aligned.

SAP-to-Databricks Integration Strategy

A practical strategy that connects SAP data needs with Databricks architecture and delivery goals.

Extract, Ingest & Harmonize Design

Clear design patterns for extracting, ingesting, harmonizing, and preparing SAP data.

Business-Ready Modeling Approach

Modeling guidance that preserves business meaning and supports analytics-ready data products.

Governance Guidance

Practical governance recommendations for access, sharing, controls, and operating models.

Internal Team Enablement

Guidance that helps internal teams understand and maintain the data foundation over time.

Reference Architecture

A clear architecture blueprint that supports SAP data activation on Databricks.

Why TEK

SAP + Modern Data Expertise

TEK Analytics speaks both SAP and modern data platform, which is critical when SAP business context must survive beyond extraction.

Pragmatic, Landscape-First Approach

The approach is pragmatic, not tool-led: use the right mix of SAP-native sharing, governed access, and engineering patterns for the actual landscape.

Unlock Trusted SAP Data in Databricks

Bring us your toughest SAP data challenge. Schedule a 30-minute discussion to get started.

Schedule a 30-Minute Discussion Contact TEK Analytics

Databricks- AI ML Value Launchpad

AI/ML Value Launchpad | TEK Analytics
AI/ML Value Launchpad

Deliver REAL AI Value on Databricks
Not Just More Pilots

TEK’s AI/ML Value Launchpad takes one high-potential idea all the way to a governed, production-ready AI/ML use case on Databricks. This creates business impact and a repeatable blueprint for the next wave of solutions.

Schedule an AI/ML Consultation Contact TEK Analytics

Benefits

Move beyond experimentation and build an AI/ML solution that stakeholders can see, trust, use, and scale.

Production AI/ML Use Case

Build a Databricks-based AI/ML use case that stakeholders can see, use, and rely on.

Reusable End-to-End Pattern

Create an implementation pattern your teams can reuse for future AI/ML solutions.

Stronger Team Alignment

Align teams around what “good AI” looks like across data, models, governance, and user experience.

Greater Delivery Confidence

Increase confidence that AI can be delivered safely, properly, and with measurable business value.

Where AI/ML Projects Break Down

Many organizations invest in Databricks and AI tools, but their AI/ML work stalls at the pilot or notebook stage. Teams experiment with models, but struggle to select the right use cases, access trustworthy data, integrate into real workflows, and meet governance and risk requirements.

People

Engineers get pulled into maintaining brittle proofs-of-concept instead of building robust products.

Cost

Time and budget are consumed without visible business value, causing sponsors to lose confidence.

Opportunity

Organizations miss opportunities to improve decisions, automate work, and differentiate with data.

TEK’s AI/ML Value Launchpad

Designed to make the first production AI win real. Instead of another open-ended strategy exercise or lab, the launchpad focuses on selecting a feasible, high-impact use case and taking it all the way from idea to a running, governed solution on Databricks that business users actually rely on.

What We Provide

A practical set of services to move your AI/ML idea from concept to production on Databricks.

Prioritization of Use Cases

Help identify and prioritize AI/ML use cases with real business value and delivery feasibility.

Solution Design

Collaborative design that aligns data sources, models, governance, and user experience.

Databricks Native Development

Native implementation of pipelines, feature engineering, model training, and model serving.

Integration

Integration with downstream systems, workflows, and business processes.

MLOps Practices

Basic MLOps practices for monitoring, alerting, performance, drift, and quality.

Reusable Artifacts

Documentation, playbooks, and patterns your teams can reuse after the engagement.

Our Launchpad Engagement Model

A focused path from discovery to production, with governance and operational handoff built in.

1

Discover

Understand business priorities, available data, and current AI efforts.

2

Prioritize

Narrow to one or two high-value use cases with clear success metrics.

3

Build

Design and build the end-to-end Databricks solution.

4

Pilot

Run in a controlled environment, gather feedback, and refine with real users.

5

Productionize

Move to production with governance, monitoring, and operational handoff.

Why TEK

Databricks Expertise

Deep Databricks and data engineering expertise.

AI/ML Operational Experience

Practical experience operationalizing AI/ML solutions.

Measurable Outcomes

A bias toward measurable outcomes, so sponsors can see clear value.

Pragmatic Model Approach

A practical approach to models, techniques, and implementation choices.

Maintainable Solutions

Proven patterns for making AI solutions maintainable from day one.

Repeatable Blueprint

Create a reusable blueprint for future AI/ML initiatives.

Ready to Turn AI Ambition Into a Production Win?

Book a complimentary 30-minute consultation and explore your highest-value AI opportunity.

Schedule an AI/ML Consultation Contact TEK Analytics

Databricks- Expertise on Demand

Databricks Experts-on-Demand
Databricks Experts-on-Demand

Up your Databricks expertise without the hiring wait

Get access when you need it to seasoned Databricks architects and engineers who improve delivery speed, reliability, and cost efficiency while helping your organization build stronger internal capability.

Schedule a 30-Minute Capability Review Contact TEK Analytics

Benefits

Raise team capability, protect your Databricks investment, and bring experienced practitioners directly into the flow of work.

Faster Delivery

Move critical initiatives forward with experienced Databricks support when your team needs it most.

More Reliable Pipelines

Improve pipeline reliability, reduce production issues, and strengthen data product quality.

Lower Platform Waste

Reduce unnecessary cost and improve performance through better Spark and Databricks practices.

Stronger Team Capability

Help internal teams build confidence, repeatable standards, and long-term Databricks skills.

The Cost of a Capability Gap

Most teams adopt Databricks before they have deep Databricks and Spark experience. They learn under pressure, copy patterns from wherever they can find them, and end up with solutions that work but are hard to maintain, expensive to run, and inconsistent across teams.

Delivery Slows

Critical projects miss deadlines as engineers wrestle with unclear standards and performance bottlenecks.

Incidents Rise

Production issues multiply without governance guardrails, eroding reliability and trust in the platform.

Confidence Collapses

Leaders lose confidence in scaling new use cases, and the full potential goes unrealized.

Costs Climb

Inefficient workloads and unchecked compute drive costs higher without proportional value returned.

Raising team capability is one of the highest-leverage ways to protect your Databricks investment.

What We Provide

  • Senior Databricks architects and pipeline developers available as a flexible service.
  • Design and code reviews for critical jobs, models, and data products.
  • Hands-on coaching on Spark performance, Delta Lake patterns, and workspace structure.
  • Practical guidance on CI/CD, environment separation, and production readiness.
  • Identification of repeated anti-patterns and conversion into clear standards and templates.
  • Lightweight playbooks your teams can reuse long after the engagement ends.

Engagement Model

A practical engagement model designed to build lasting internal capability.

1

Diagnose

Map current practices, pain points, and priority teams.

2

Connect

Establish regular touchpoints, review sessions, and paired working time.

3

Focus

Direct TEK experts toward your highest-value workloads and biggest gaps first.

4

Document

Capture best practices, examples, and decisions in reusable documentation.

5

Scale

Dial expert involvement up or down as capability grows and teams gain confidence.

Why TEK

Deep Databricks Expertise

Experience across architecture, engineering, and operations.

Reliable, Governable Platforms

A track record of making platforms more reliable, cost-effective, and governable.

Practical Approach

A no-nonsense approach that meets teams where they are.

Multi-Team Support

Ability to support multiple teams, domains, and workloads.

Flexible Service Model

Flexibility without locking you into a large, rigid consulting program.

Lasting Capability

Support that helps your teams improve even after the engagement ends.

Get a quick lift in reliability, speed, and team confidence.

Schedule a 30-minute Databricks capability review today.

Schedule a Review

Databricks- Governance and Quality

Make Databricks Trusted, Governed, and AI-Ready

TEK helps enterprise data leaders turn fragmented Databricks environments into a high-trust platform for analytics and AI, with clear ownership, reliable data, and built-in governance that reduces risk while accelerating delivery.

Book a 30-Minute Consultation

Benefits

Enable your teams to move faster with less risk by creating a governed, reliable, and easy-to-use Databricks foundation.

Faster Time to Insight

Accelerate analytics and AI delivery with trusted, ready-to-use data.

Fewer Reporting Conflicts

Create consistency through certified datasets and clear publishing standards.

Reduced Risk

Lower audit exposure with clear data ownership and governed access.

Higher Productivity

Eliminate data hunting, duplication, and confusion across teams.

Governance & Data Quality Service

TEK’s Governance & Data Quality for Databricks offering is built to sit at the intersection of safety and usability.

Rather than dropping in a generic framework, we design and implement a Unity Catalog and data quality approach that reflects your actual business domains, risk profile, and ways of working.

The result: governed, discoverable, reliable data that helps teams move faster with less risk.

Without Governance, Trust Erodes

Productivity Suffers: Teams lose time hunting for the right tables and rebuilding copies.
Extra Processes Are Needed: Manual reviews and exceptions slow down delivery.
Confusion Increases: Disagreements over reports and AI outputs reduce confidence.

What We Provide

Governance Assessment

Review catalogs, schemas, permissions, and data flows.

Unity Catalog Design

Align data organization with real business domains.

Access Patterns

Define clear roles, groups, and access policies.

Certification Standards

Help consumers understand what data they can trust.

Quality Monitoring

Add checks and escalation paths for critical datasets.

Simple Guardrails

Help projects plug into governance instead of working around it.

Engagement Model

A practical engagement model designed to build lasting internal capability.

1

Discovery

Understand platform, security, and data team requirements.

2

Data Assessment

Map domains, critical datasets, access patterns, and gaps.

3

Design Catalog

Design Unity Catalog structure, access model, and quality approach.

4

Implement

Build the design for selected domains, standards, and quality checks.

5

Validate

Validate with real teams and refine for wider rollout.

Want Databricks to Be Trusted and Easy to Use?

Turn messy workspaces and inconsistent data into a governed, high-trust foundation you can safely build on.

Contact TEK Analytics

Databricks- Migration and Integration Accelerator

Migration & Integration Accelerator | TEK Analytics
DATABRICKS PARTNER

Migration & Integration Accelerator

Move to Databricks without breaking everything that depends on you.

TEK’s Migration & Integration Accelerator helps you move from legacy platforms to Databricks through a planned, validated path that protects downstream systems, preserves data trust, and accelerates value on the new platform.

Schedule a Migration Readiness Session See What We Provide

Benefits

✓

Protection of Critical Business Processes

Protect critical business processes by planning for data and system dependencies.

↓

Reduced Operational Risk

Reduce disruption with fewer reporting issues, outages, and operational incidents.

⚡

Faster Time-to-Value

Accelerate time-to-value through structured, repeatable processes with safeguards.

◉

Sustained Confidence

Maintain stakeholder confidence with reliable, accurate data products.

↗

Resilient Foundation

Create a Databricks-native, scalable, resilient foundation for long-term performance.

When Migrations Break Down

Most migration efforts focus on lifting and shifting code and data, not on everything that surrounds them. Legacy ETL jobs hide business rules, reports and APIs quietly depend on old schemas, and few teams have a complete view. When dependencies are not well understood, stakeholders lose trust as numbers change unexpectedly, teams are forced into expensive rework, and the migration becomes a source of instability.

Outages
Data Issues
Broken Reports
Firefighting

The Migration & Integration Accelerator

TEK’s Migration & Integration Accelerator is designed for leaders who want Databricks adoption without collateral damage. Instead of treating migration as a one-time technical cutover, we frame it as a disciplined, integration-aware change to how data flows through your organization.

The result is a migration that protects critical dependencies while moving you decisively onto Databricks.

What We Provide

Structured Assessment

Current pipelines, dependencies, and downstream consumers before anything moves.

Integration Hardening

Harden key reports, APIs, and consuming systems, including contract and schema validation.

Prioritized Migration Waves

Sequence workloads based on risk, business impact, and technical complexity.

Data Validation

Validation and reconciliation to ensure migrated outputs are correct, complete, and trustworthy.

Pattern Based Modernization

Conversion of logic, ETL, SQL, and orchestration into Databricks-native jobs and Delta Lake.

Cutover Plan

Clear plans and rollback strategies so teams know exactly what will change and when.

Why TEK

  • We design migrations around integrations and consumers, not just pipelines and storage.
  • Our Databricks expertise spans data engineering, orchestration, and operational readiness.
  • We emphasize validation, phased cutover, and risk management to minimize surprises.
  • The accelerator is time-boxed and outcome-oriented, giving you predictable progress instead of open-ended projects.

Planning a Databricks migration?

Worried about what might break? TEK helps you de-risk your path onto Databricks with a structured, validated migration approach.

Move data to Databricks without a lot of drama.

Set up a Migration & Integration Readiness Session with TEK.

Contact TEK Analytics

Databricks- Production Reliability

Production Reliability Fast Track | TEK Analytics
DATABRICKS PARTNER

Production Reliability Fast Track

Make your critical Databricks pipelines boringly reliable in 6 weeks or less

TEK’s Production Reliability Fast Track helps you stabilize your most critical Databricks pipelines by reducing failures, improving performance, and putting proven production patterns in place for future workloads.

Move from Unstable Pipelines → Root Cause Analysis → Fix and Validate → Reliable Production Operations

Schedule a Reliability Discussion See What You Get

Benefits

⚡

Faster, more stable jobs & streams

✓

Fewer incidents and missed SLAs

◉

Clear operational visibility

↻

A reusable golden pattern

↗

A safer runway for workloads

The Cost of Broken Stuff

When Databricks workloads are unreliable, the impact extends far beyond the data team. Business users lose trust in analytics, AI initiatives slow down, operational teams spend more time firefighting, and leadership has less confidence in data-driven decisions. The result is higher costs, missed opportunities, and growing operational risk.

Delayed Reporting

Pipelines stall, dashboards lag, and stakeholders lose trust in time-sensitive insights.

Lower Data Confidence

Teams spend cycles validating outputs instead of delivering trusted data products.

Slower AI & ML Delivery

Broken pipelines delay model development, testing, and production rollout.

Greater Scale Risk

Small reliability issues become major business risks as workloads expand.

Ops Burden Growth

Manual fixes and recurring incidents consume valuable engineering capacity.

Rising Cloud Costs

Retries, inefficient jobs, and poor workload design increase unnecessary spend.

TEK’s Production Reliability Fast Track Service

Our fast track production reliability service is a focused engagement designed to assess, stabilize, and improve production Databricks workloads. We combine technical review, operational best practices, performance analysis, and pragmatic recommendations to help you move from reactive troubleshooting to reliable production operations.

What You Get

Reliability Assessment Findings
Reliability First Design Patterns
Stabilized Critical Pipelines
Performance & Cost Hygiene
Improved Monitoring
Reliability Metrics
Runbooks & Playbooks
Prioritized Reliability Roadmap

Why TEK

  • Production-first focus: Built for teams already running critical Databricks workloads.
  • Practical recommendations: Prioritized actions instead of generic platform advice.
  • Business-aligned roadmap: Improvements are tied to reliability, cost, risk, and impact.
  • Hands-on remediation support: Help in implementing fixes, not just document findings.

Are you ready for some boring reliability?

Schedule a 30-minute reliability discussion today.

Contact TEK Analytics

Databricks Data + AI Summit 2026

Databricks Data + AI Summit 2026

 

June 15–18, 2026 | San Francisco + Virtual

TEK Analytics will be attending Databricks Data + AI Summit 2026, one of the leading global events for data, analytics, and AI. The summit brings together data leaders, engineers, scientists, architects, and business teams to explore the latest in data intelligence, governance, analytics, applications, agents, and AI.

At the event, our team will be connecting with organizations that are looking to modernize their data architecture, unlock more value from SAP data, and build a stronger foundation for AI.

Let’s connect at Data + AI Summit

Many enterprises are asking the same questions right now:

How do we bring SAP data into a modern lakehouse?
How do we integrate SAP and Databricks without creating more complexity?
How do we govern SAP-sourced data across platforms?
How do we build an AI-ready data foundation that can scale?

These are the conversations we will be having at Data + AI Summit.

Whether you are exploring SAP + Databricks integration, lakehouse architecture, Unity Catalog governance, AI use cases, or a broader data modernization roadmap, we would be happy to connect.

Meet with TEK Analytics

TEK Analytics brings dual-skilled expertise across SAP and Databricks, helping organizations connect governed SAP data with scalable analytics and AI platforms.

Our team will be available for informal 30-minute conversations around your priorities, challenges, and next steps.

No generic pitch. No heavy presentation. Just a practical discussion on what you are trying to solve and how to move forward with clarity.

 

Event Details

Event: Databricks Data + AI Summit 2026
Date: June 15–18, 2026
Location: San Francisco + Virtual
TEK Focus Areas: SAP + Databricks, Lakehouse Architecture, Unity Catalog Governance, AI-ready Data Foundations, Data Modernization
Event Website: Databricks Data + AI Summit 2026

Schedule Time with TEK:

SAP Sapphire & ASUG Annual Conference Orlando 2026

SAP Sapphire & ASUG Annual Conference Orlando 2026

 

May 11–13, 2026 | Orange County Convention Center, Orlando

TEK Analytics will be attending SAP Sapphire & ASUG Annual Conference Orlando 2026, SAP’s flagship event bringing together SAP leaders, industry experts, partners, and peers to explore the future of business, data, applications, and AI.

At Sapphire, our team will be connecting with SAP leaders and customers to discuss practical ways to modernize SAP data landscapes and prepare for the next generation of analytics and AI.

Let’s connect at SAP Sapphire

Many organizations are asking the same questions right now:

How do we modernize BW without unnecessary complexity?
How do we make SAC and S/4 planning work at scale?
How do we bring SAP data into a platform that is ready for AI?
How do SAP and Databricks fit into our future architecture?

These are the conversations we will be having in Orlando.

Whether you are planning a BW modernization journey, evaluating SAP Business Data Cloud, exploring Databricks integration, or looking to improve planning and analytics, we would be happy to connect.

Meet with TEK Analytics

Bharat Sunkari, CEO, and Phil King, VP of Strategy and Growth, will be onsite and available for informal 30-minute discussions.

No presentations. No generic pitch. Just a practical conversation around your priorities, challenges, and next steps.

Event Details

Event: SAP Sapphire & ASUG Annual Conference Orlando
Date: May 11–13, 2026
Location: Orange County Convention Center, Orlando
TEK Focus Areas: SAP BW Modernization, SAP Analytics Cloud, SAP Business Data Cloud, SAP + Databricks, AI-ready data architecture

Schedule Time with TEK:

Maximize Auto Parts fill rate with SAC Predictive reporting

About the Client: Fortune 100 Automotive Customer

The Fortune 100 Automotive Customer is one of the world’s largest and most important car manufacturers with 6 million market capture. It has 50 production locations across the five continents with 200000 employees across the globe. To be a leading, profitable volume manufacturer as well as playing a leading role in the new world of the automobility industry in the long term.

 

Business Challenge:

Maximizing the Dealer orders Fill percent or Fill Rate is always a key focus in the automotive after-sales stream. Increasing fill rate without piling excessive inventory at a plant requires not only a deep dive into fill rate and supply chain metrics across multiple dimensions but also deep learnings into data patterns and identify influencers impacting the fill rates.

 

The Solution:

A complete cloud-based reporting solution for tracking fill rate from Plant to the part level. Our consultants in partnership with the business developed a regression-based predictive model by taking the last 3 years’ dealer order history and fill rates into the account. The Model predicts future fill rates for the dealer odder demand data in the planning system.

  • Gather data from supply chain history for drilling, rigging, pipeline materials, other inputs, part failure, and part usage history, lead time history (for reorders), history of disruptions to supply chain, planned and the actual history of ramping of capacity.
  • Unified Historical and planning data along with master data within BW/4HANA
  • Reporting Model which enables multiple drill-down levels and secured at region leve
  • An easy-to-use yet very effective SAC-based visualization to track Fill rates historically and also drill down to material level with multiple end-user level capabilities including Ranking, Ad-hoc exploring.
  • Considering 3 years dealer order history, created a regression model which predicts fill rate and quantities at a part level for demand planning data
 

 

Results and Benefits:

  • The SAC story completely replaced excel based fill rate tracking. Users no longer need to perform any manual excel calculations to derive KPI’s which tremendously save time in analyzing.
  • A very user friendly yet robust UI design
  • A deeper insights into the fill rate data across multiple dimensions and
  • 95% confident regression model trained from 3 years historical data which predicts the future fill rates, this will help users to maintain optimal inventory

Get our case study