Services
Partners
Contact

Azure Databricks – Assessment

ISmile Technologies provides solution using Azure data lakes for Data Engineering, Data Science, Analytics & Machine Learning.

Solution Areas : Azure

Service Type : Assessment

Overview

Databricks are widely used and growing fast in technical industries for data analytics and machine learning. Databricks SQL, Databricks Data Science & Engineering, and Databricks Machine Learning are the services we offer to our clients by optimizing Azure Databricks.

ISmile Technologies analyses clients’ data by leveraging Apache Spark environment, Machine learning models through modern and hi-tech libraries such as Pytorch, TensorFlow, and sci-kit-learn, and support to manage and arrange data using SQL, Scala, R, Python and Java.

Is your company taking advantage of Databricks ?

Optimized Spark Engine

Data Processing with Auto-Scaling and Spark optimized up to 50x performance gains
Can host client’s data by autoscaling and transform Raw data into meaningful insights

Machine Learning

Pre- configured Environments with frameworks
Making predictive models to manage resources and forecast inventory

ML Flow

To collaborate with your teammates regarding repositories
To Control ML Flow model registry and deployment
Central Place to discover and share ML models
Use cases in Industries

Optimized Spark Engine

Data Processing with Auto-Scaling and Spark optimized up to 50x performance gains
Can host client’s data by autoscaling and transform Raw data into meaningful insights
Machine Learning

Pre-configured Environments with frameworks

Making predictive models to manage resources and forecast inventory
ML Flow

To collaborate with your teammates regarding repositories

To Control ML Flow model registry and deployment
Central Place to discover and share ML models
Use cases in Industries

Online customer and retail service:

All the real-time data is managed through the data lakes in Azure Databricks. The basis of data injected into the clusters can be visualized, and analysis can be done. Based on the analysis, organizations set the target clients and harness the full potential of Databricks services.

Financial Analysis:

Most companies prefer analyzing available business in the market and the current flow of business by doing financial analysis. To minimize the risk of fraud and accelerate the results, output Databricks helps. AI models using Python and R helps to predict the market positions.

Our experienced staff help your organization explore and develop data to the required outputs.

Data Engineering Goals:

Transform raw data into meaningful insights
Perform data validation, ETL, and Change data capture
To have everything in cluster memory which is easy to set up and configure

Data Science Goals:

To train the model using in-built libraries
Make predictions on data
Increase the security and privacy of data

Assessment Phases

Phase 1: Conduct the scheduled meeting to find out key use cases, discuss on master business presentation and improve techniques as per desired values.

Phase 2: Set up an environment of Azure Databricks by loading relevant data.

Phase 3: Systemized the Azure competencies and demonstrated how the Spark environment could help to analyze the data and get desired output using SQL, Python, R, and Java.

Phase 4: Discuss the machine learning techniques to accelerate the predictive analysis to derive better decisions.

Phase 5: Present the derived results and outcomes in front of your team; evaluate all the analyses on Tableau or Power BI to showcase the visualization with the real-time data.

Faq's

Azure Databricks Vs AWS Databricks - which solution is the best?

Each has its own merits – Integrations with rest of the Azure platform is much deeper in the Azure Databricks. Also, Azure Databricks is a first-party service on Azure, which means there are deeper integrations between Azure services & Databricks. AWS Databricks, on the other hand, combines the best of data warehouses & data lakes workflows to store & manage all your data on a simple lakehouse platform. We suggest you the right Databricks for analytics & data management based on your unique requirements.

How opting for Azure Databricks solution with ISmile will add value to your business?

ISmile helps you to leverage Azure Databricks to re-imagine data warehouse of the future. Our technology experts with deep implementation experience help you make big data and AI/ML project easier, and unlock the power of cloud, BI, and analytics to ensure security & transformation of your business data into powerful insights for driving higher productivity.

What is Azure Databricks pricing with ISmile?

Initially, we will do a free assessment to understand your existing set up. We will also understand your requirements – the clusters & workflows, and based on this we will propose you a price. But be 100% sure that we offer very competitive pricing.

Can Databricks be run on private cloud infrastructure?

Yes, Databricks can be deployed entirely within VPC (Virtual Private Cloud). We help businesses take advantage of all its extensive capabilities by running it on AWS & Azure.

Why choose ISmile Technologies for Azure Databricks Assessment?

We have wide-ranging experience in helping organizations adopt Databricks for processing & transforming huge amount of data through machine learning models. We will be easily able to assess you for Azure Databricks & help you realize your full potential by combining data, ELT processes, and machine learning.