Let's get started to craft the best fit solution to your data
Why HiFX !
HiFX is a Certified Consulting & System Integrator Partner of Databricks which allows us to leverage their cloud-based platform’s Unified Analytics expertise, solution architects and sales resources to better help our customers.
With Databricks We Make Big Data Simple!
We achieve 100X performance gains, 30% rapid deployment & 20% more stabilization effectivity
Working with dataBricks since 2017
Databricks trained consultants & developers
Create And Find
New Opportunities
The Real Time Streaming and analyzing of Big Data can help companies to uncover hidden patterns, correlations and other insights. Companies can get answers from it almost immediately being able to upsell and cross-sell clients based on what the information presents.
The existence of Real Time Streaming data technology brings the type of predictability that cuts costs, solves problems and grows sales. It has led to the invention of new business models, product innovations and revenue streams.
Unified and simplified architecture across batch and streaming to serve all use cases
Robust data pipelines that ensure data reliability with ACID transaction and data quality guarantees
Reduced compute times and costs with a scalable cloud runtime powered by highly optimized Spark clusters
Elastic cloud resources auto- scale up with workloads and scale down for cost savings
Modern data engineering best practices for improved productivity, system stability and data reliability
Let's get to know Databricks
The only open unified platform for data management, business analytics and machine learning.
Users achieve faster time-to-value with Databricks by creating analytic workflows that go from interactive exploration and ETL through to production data products.
AI applications are simpler to explore and transition to production as the one platform is used by data scientists and data engineers. Users can quickly prepare clean data at massive scale and continuously train and deploy state-of-the-art ML models for best-in-class AI applications.
Databricks makes it easier for its users to focus on their data by providing a fully managed, scalable and secure cloud infrastructure that reduces operational complexity and total cost of ownership.
Data Lakehouses
Now combine the capabilities of Data Lakes and
Data Warehouse to enable BI and ML on all data.
Data lakehouses are enabled by a new system design: implementing similar data structures and data management features to those in a data warehouse, directly on the kind of low-cost storage used for data lakes.
Merging them together into a single system means that data teams can move faster as they are able to use data without needing to access multiple systems. Data lakehouses also ensure that teams have the most complete and up to date data available for data science, machine learning and business analytics projects.
A Lakehouse has the following key features:
- Transaction support
- End-to-end streaming
- Openness
- Schema enforcement and governance
- Support for BI
- Storage is decoupled from compute
- Support for diverse workloads
- Support for diverse data types ranging from unstructured to structured data
Delta Lake
Delta Lake brings reliability, performance and lifecycle management to data lakes.
No more malformed data ingestion, difficulty deleting data for compliance, or issues modifying data for change data capture. Accelerate the velocity that high quality data can get into your data lake and the rate that teams can leverage that data, with a secure and scalable cloud service.
Benefits
OPEN & EXTENSIBLE
Data is stored in the open Apache Parquet format, allowing data to be read by any compatible reader. APIs are open and compatible with Apache Spark™.
DATA RELIABILITY
Data lakes often have data quality issues, due to a lack of control over ingested data. Delta Lake adds a storage layer to data lakes to manage data quality, ensuring data lakes contain only high quality data for consumers.
MANAGE DATA LIFECYCLE
Handle changing records and evolving schemas as business requirements change. And go beyond Lambda architecture with truly unified streaming and batch using the same engine, APIs and code.
See the Results for Yourself
Who Uses Databricks
Data Analysts
Monitor machine learning process Develop production machine learning pipelines Explore machine learning models
Data Scientists
Perform data analysis using SQL at scale Explore datasets visually and interactively in a notebook environment
Data Engineers
Develop, test, execute and monitor batch ETL jobs Implement data streaming ingestion or analytics job Collaborate on code,notebook and jobs
Our Tech Stack
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Experience Databricks Live Ready to supercharge your data analytics and ML workflows?
Unleash Your Data’s Full Potential
Join our interactive demo where our experts showcase how Databricks can streamline your data architecture and accelerate innovation – all in one unified platform.
Databricks Workspace
Databricks Runtime
Databricks Cloud
