Data Analytics
Databricks on Azure is a fully featured Databricks platform on the Microsoft Azure Cloud.
Accelerate data analytics quicker and more cost-effectively than ever before.
Introduction
The data analytics space has changed and is still changing, driven by Big Data technologies that are making their way into the long tail of analytics. They are much easier to use as the software and features improve, and the cost of entry is virtually zero as you only pay for what you use at the time you use it.
Traditionally you would grab a relational database (SQL, ORACLE, POSTGRES) and build your data warehouse or Datamart on it.
The problem is that with Big Data & fast streaming data, and just the sheer amount of data these days, this becomes a problem for Databases to keep up. You require more & more processing power, faster storage, scale up and scale out, and it gets expensive. Data is simply moving faster than a traditional warehouse can handle.
This fundamental problem is what the Data Lake tries to solve; the significant change is that storage is now decoupled from the computing power to process the data.
This shift means the two can operate independently, and you only have to target the data you need to process, making it much more efficient.
Now you can tackle data of any size, not just Big Data, using cloud technologies and pay-as-you-go pricing.
Data Lakehouse
The best of both worlds in one platform
A data Lakehouse unifies the best data warehouses and lakes in one simple platform to handle all your data, analytics, and AI use cases. It’s built on an open and reliable data foundation that efficiently handles all data types and applies one common security and governance approach across all your data and cloud platforms.
Delta Lake is an open-format storage layer that delivers reliability, security and performance on your data lake — for both streaming and batch operations. By replacing data silos with a single home for structured, semi-structured and unstructured data, Delta Lake is the foundation of a cost-effective, highly scalable Lakehouse.
Databricks on Azure
Key Features of Databricks on Azure
Single Sign On
Leverage your investment in Azure AD and SSO to secure and access Databricks
Private Networking
Fully secure the front-end and back-end of the Databricks Cluster in a private network inside Azure and extend it to your on-premise network.
Restrict Public Access
Generally, the UI for Databricks is public-facing and use Private Networking or Firewalls to restrict public access to well know IP addresses.
Data Exfiltration Protection
Configure you Databricks service so that all traffic, including storage, traverses the Private Network. Integrate Azure Firewalls with Application Rules and Network Rules to prevent data exfiltration.
Secrets Management
Leverage your Azure investment by using the integration with Azure Key Vault to store secret credentials and certificates without having to store them in plain text with Databricks Notebooks & Queries.
Data Lake Storage
Data Lake Storage Gen2 makes Azure Storage the foundation for building enterprise data lakes on Azure. Designed from the start to service multiple petabytes of information while sustaining hundreds of gigabits of throughput, Data Lake Storage Gen2 allows you to easily manage massive amounts of data.
Azure Synapse
Integrate Databricks with Azure Synapse Analytics, a limitless analytics service that brings together data integration, enterprise data warehousing, and big data analytics. Azure Synapse combines these worlds with a unified experience to ingest, explore, prepare, transform, manage, and serve data for immediate BI and machine learning needs.
IoT Hub
Enable highly secure and reliable communication between your Internet of Things (IoT) application and the devices it manages. Azure IoT Hub provides a cloud-hosted solution back end to connect virtually any device. Stream your data directly to the Data Lake and into Databricks.
Data Governance with Purview
Azure Databricks to Purview Lineage Connector provides a connector that will transfer lineage metadata from Spark operations in Azure Databricks to Microsoft Purview, allowing you to see a table-level lineage graph as demonstrated above.
How we can help
Deployment
We can build and deliver your Databricks platform on Azure whether you need multiple environments (DEV, TEST, PROD) or a fully secured implementation. We can help.
Data Engineering
Do you need help or extra resources for ingesting, cleaning and preparing data? Or a data modelling project to prepare your data for Power BI Analytics. We can help.
DevOps
How do you deploy your Databricks Notebooks and Synapse Data pipelines in a multi-environment platform? It’s all possible using Azure DevOps and Build & Deployment pipelines.
Data Integration & Onboarding
Do you have a greenfield project that you think Databricks can help solve? We can onboard you all way through from Platform Delivery, Data Ingestion, Data Modelling & Power BI Dashboards.
Security & Secrets Management
Setting up Databricks as a fully secure service with Private Networking, Key Vault Integration, Secure Data Lake Storage and On-Premise to Cloud access is a complicated process. Let us simplify it with our Azure Data Platform accelerator.
Data Lake Storage
Are you deploying Azure Data Lake Gen2 for high performance? Worried about costs and Storage Tiers? We can help you design your Data Lake and storage options to maximise performance and minimise costs
