Conduct Your Analytics with Orchestration from Databricks Workflows

Ready to accelerate your data-to-insight journey? Databricks’ unified analytics platform combines the efficiency of modern lakehouse architecture with its powerful Workflows orchestration tool to integrate, manage, and optimize data flows through three layers – Bronze for raw data, Silver for cleansed and conformed data, and Gold for curated data in business-level tables. The results? By integrating multiple data sources into a unified lakehouse platform, Databricks helps eliminate data silos, simplifies data pipelines, and enables a broader range of analytics and AI use cases across your organization.

This level of integration is often challenging for small, medium, and emerging enterprise size businesses. Read on to learn more about the Databricks orchestration play and why you should partner with zeb to upgrade your data ecosystem.

Data ingestion – Strengthening your foundation

Before your organization can reap the benefits of more efficient data workflows, zeb helps you lay the foundation for analytics and AI. Data ingestion is the first step.

Databricks empowers data ingestion and transformation through a suite of powerful tools:

Databricks Workflows: Orchestrates end-to-end data pipelines, enabling efficient ingestion, transformation, and analytics across diverse sources.
Delta Live Tables: Simplifies real-time data ingestion using SǪL-based pipelines, delivering clean, reliable data for immediate analytics.
Structured Streaming: Processes application event data in formats like JSON and XML, enabling real-time insights from dynamic sources.
Lakeflow Connect: Simplifies data ingestion into the Databricks Data Intelligence Platform with pre-built, low-code/no-code connectors for popular SaaS applications, databases, and file sources.

Lakeflow Connect, in particular, streamlines the collection of raw data from diverse sources such as cloud applications, APIs, databases, and third-party platforms into a centralized lakehouse to organize and structure data so it’s better prepared for analysis. This crucial component of orchestration sets the stage for easier access, stronger analytics, and quicker, smarter decision making.

For example, in manufacturing, data from ERP (Enterprise Resource Planning) systems (like SAP) can be ingested to provide a comprehensive view of supply chain, production, and financial data. In the financial sector, the secure storing of customer data allows for more personalized customer experiences with targeted products and services, as well as fraud detection.

By integrating and consolidating data, you’ll be able to access use cases that provide visibility across your organization, through C-Suite, EVP, SVP, and Managerial levels.

Databricks Workflows – The ultimate orchestration tool

When it comes to modern data workflows, there’s no better service than Databricks Workflows – a fully managed orchestration service that streamlines ingestion, ETL (Extract, Transform, Load), analytics, and machine learning pipelines into an integrated and optimized data flow across your systems.

Supporting a robust ecosystem of connectors – including JDBC/ODBC, APIs, SFTP, FTP, and SaaS platforms like Google Analytics, HubSpot, and Salesforce – Workflows ensures seamless integration with diverse data sources. Through Databricks Partner Connect, you also gain access to native connectors for a wide range of third-party tools, enhancing compatibility with your existing tech stack.

Building on tools like Lakeflow Connect, Delta Live Tables, and Structured Streaming, Workflows automates ETL processes to pull and transform data for analytics, setting the stage for deeper insights. With zeb’s expertise, these processes are automated with an eye on efficiency, consistency, accuracy, and accessibility. So, no matter how diverse your raw data sources are, your analytics will come from a unified platform designed to deliver reliable, real-time reports and insights.

Ingestion and orchestration – A symphony of efficiency

Databricks provides a unified platform for both ingestion and orchestration, reducing complexity and eliminating data silos. Databricks Workflows integrates seamlessly with Lakeflow Connect, allowing you to orchestrate workflows, while simplifying data ingestion and optimizing serverless compute, the automatic management of computing power, for efficient execution.

Incremental vs. full batch ingestion – Intelligent processing

Traditional full batch ingestion processes data in large, periodic chunks, while Databricks’ incremental approach captures only changes and new data that occur after the previous ingestion cycle. The full batch approach requires reprocessing entire content libraries with each update. For particularly large or frequently updated data sources, zeb helps you leverage Databricks to eliminate redundancies, reduce usage, and improve efficiencies that save both time and costs.

Streaming ingestion – When real-time analysis matters

If and when your organization requires time-sensitive data processing and analytics, Databricks supports streaming data ingestion. This real-time approach is necessary for a broad range of applications that require immediate, ongoing analysis – from fraud detection to stock trading to fleet logistics and beyond. As your partner, zeb will make strategic recommendations for your business.

Open-source integration – Custom Databricks solutions

To meet the unique demands of real-time and other complex workflows, we also take advantage of Databricks’ compatibility with existing orchestration tools. This flexibility allows zeb to help you create and manage custom pipeline designs with both native orchestration through Workflows and integration with popular open-source tools like Apache Airflow and many others.

Scalability and cost efficiency – An optimal combination

Databricks optimizes resource usage during ingestion and orchestration, making it scalable for workloads big and small. Through tools and features like Databricks Workflows, Databricks Autoloader, and Delta Live Tables, zeb sets you up for auto- scaling to manage compute resources, reduce costs, and streamline data pipelines more efficiently.

Real-world applications – Orchestration in action

Orchestration workflows are relevant across a multitude of industries. Here are just a few examples where zeb has helped clients leverage Databricks. In the retail space, orchestration plays a key role in optimizing inventory management as well as the ability to personalize products and services. In the healthcare space, streamlining data collection and analytics not only leads to greater operational efficiency but also enhances patient care. And for financial clients, improving fraud detection and risk analysis helps them stay a step ahead in a highly competitive landscape.

Accelerate your innovation with Databricks – Partner with zeb

Give your data a strategic edge with Databricks and zeb. By combining Lakeflow Connect’s seamless ingestion with Workflows’ powerful orchestration, you can accelerate your journey from raw data to real-time insights, all within a unified lakehouse platform. As your partner, zeb helps you harness Databricks’ full potential, streamline your analytics, and drive innovation across your organization – starting today. Connect with us now at sales@zeb.co.