The right platform for data science and machine learning
Empowering all team members with democratised access to big data translates into rich insights that are uncovered quicker and can drive informed business decisions with greater impact. You can do all of that in just a couple of clicks and have access to a platform where you can run your data science workloads at scale in a flexible environment.
Self-service data science
Write code in Python, R, and Scala in Jupyter Notebook accelerated by Spark to explore and visualize data, build models and develop analytics pipelines.
Perform modelling and run predictive analytics
Use the most powerful machine learning libraries (Scikit-Learn, Mlib, XGboost, Spark ML) to experiment with algorithms, train model, validate them and apply them on production data in real-time at scale.
Scale with your workload
As complexity evolves, your underlying infrastructure is ready to adapt for point-in-time computationally intensive experiments.
Self-service data visualization
Bring processing closer to data, slice and dice through your data at every step of the analysis. Explore and interact using charts with powerful data visualization tools, run experiments for "what if" scenarios and take desicions in real-time.
Enable conversations around your data
Stories help us better understand changes in our business. Notebooks are used to tell a story, combining code, visualizations and results in a ready-to-share format that is easy to understand by all of your teams.
Focus on analysis, worry less about the infrastructure
Bigstep offers managed architectures that consist of Hadoop and Spark clusters and modern BI tools, allowing data scientists and engineers run SQL analytics at scale, tweak machine learning algorithms and strategize more on their results.
Expand your knowledge with state-of-art strategies
We are mixing all the technologies and tools to empower people find smart solutions to intricate business problems using data science, machine learning and AI techniques. Powerful results can be obtained with data exploration and experimentation and we are offering the playground for implementing big ideas.
With pre-integrated tools and technologies, data engineers can focus on ensuring high data quality across the ingestion and preprocessing data phases.
- ETL operations
- Streaming data
- Data wrangling
- Data enrichment
- Data deduplication
- Data quality control
Our platform helps you discover critical business indicators that can be further explored and used to improve decision making.
- SQL queries
- Ad-hoc analysis
Perfect stock, customer behavior or revenue predictions by continuously testing and tweaking your machine learning models and playing around with different strategies and algorithms.
- Machine learning
- Model training
- Model fitting
- Model scoring
- Production workflows
Drill through your data, understand trends, discover patterns in real-time and define stories to make informed decisions with greater impact.
- Slide and dice analytics
- Real-time dashboards
- BI tools
- Real-time alerting
- Point and click experiments
Time to Connect All the Dots
Understand your data, validate assumptions and make confident, accurate business decisions.