We provide data discovery & maturity assessment, data quality checks & standardization assistance. Our team offers batch data processing with database optimization, creation of a data warehouse & more. We can develop data architectures by integrating new & existing data sources for efficient data distribution & consumption.
We can help you build a strong foundation of data and help generate insights from data mining. Our data engineers have hands-on expertise with cloud technologies – AWS & Azure platforms. Our experience with big data technology helps you rapidly process massive volumes of data while ensuring its availability, integrity & precision. We can help integrate Extract Transfer & Load (ETL) pipelines, data warehouses, Business Intelligence (BI) tools & governance processes.
We apply an efficient and smart approach to move business data to/from on-prem legacy systems onto modern databases, including cloud storage infrastructure (data lakes or warehouses) or new target platforms. We help you to take stock of your current data environment and help to optimize & transform. Our team builds and implements smart platforms that facilitate real-time exploration & analysis of data from disparate systems. We help you migrate, modernize & manage your databases and dataflows on scalable cloud-based systems.
We can help build production-grade, independent data workflow pipelines to facilitate seamless movement, transformation & storage of data. Our team utilizes various data management tools and techniques for batch & real-time data processing. We’ve expertise in ETL & data warehouse services to develop data pipelines, either from scratch or using the services provided by major cloud platform vendors, including Azure or AWS. Our cloud experts efficiently design, develop, optimize, and test modern data architectures that meet your analytics needs without risking data quality.
We can help you access & process data by implementing continuous integration (CI) & continuous development (CD) into your cloud-based data lakes and data warehouse systems. Our team helps you automate the way you design, test & deploy your apps while ensuring timely delivery of high-performance software. We have hands-on experience in developing efficient production build and release pipelines based on infrastructure-as-code artifacts, reference/application data, database objects (schema definitions, functions, stored procedures, etc.), data pipeline definitions & data validation & transformation logics. We use a comprehensive data ci/cd orchestration framework for data ingestion, staging & transformation.
We help you extract & refine structured and unstructured data from varied sources (streaming & batch) for further exploration & analysis. We collate data from all your applications, systems, and databases to cloud data warehouse destinations for easy access when needed. You can rely on us to realize the full potential of combining big data from your cloud-based apps, mainframes, databases, and file systems to find new insights faster.
Our data modeling specialists work with you to build a comprehensive data architecture roadmap that is fundamentally based on industry standards, best practices, and proven techniques. Our end-to-end ETL capabilities help you combine data from multiple systems into a single database, data store, data warehouse, or data lake. Rishabh’s data engineering team ensures that you don’t have to struggle with complex ETL jobs for streamlining data exchange. Our ETL services ensure data integrity for accurate reporting & decision-making even while performing multiple operations.
We help bridge the gap between data lakes and data warehouses for efficient data management. We help you move from rigid on-premises data centers to scalable cloud-based data repositories for addressing your evolving data needs. We support you with data lake implementation for storing and processing high-volume data irrespective of its source & format. With our cloud data warehouse services, we assess & design the architecture in line with your business needs without risking production SLA and data quality.
We leverage data streaming tools like Amazon Kinesis, Apache Kafka & Azure Stream Analytics to ensure faster streaming & processing of information on the go. Our teams have expertise in implementing real-time and batch data processing systems across distributed environments. We can help ingest processed data into the reporting layer for further analysis, historical reporting, dashboard visualization, and business intelligence. Our team has hands-on experience in addressing data sharing challenges through software solutions for fraud prevention, UX personalization & automated recommendations.
The North American client is a pioneer in F&B, Resort management & Rental Home segments. They were using a wide array of applications (PMS, POS, analytics, inventory and more) to manage business data because of multiple business acquisitions. They wanted to create a data warehouse as the single version of the truth to enable stakeholders to derive valuable insights as per their needs.
Whenever I have contacted the team for any issues or troubleshooting purposes, they were able to identify and rectify the problem on the same day! I found the Rishabh Software team to be very professional, effective, and easy to deal with, and I would certainly re-hire them for future projects.
We required a reliable technology partner to deliver quality services to our customers and that’s when we discovered Rishabh Software in 2005. We received extraordinary support from their team, for .Net development, BI solutions, and mobile app development and have reached outstanding service levels, resulting in a tremendous growth trajectory. I have already recommended Rishabh Software to quite a few people!
Our data engineering experts assist you with end-to-end data lifecycle management – from planning & strategizing to implementation. We also help you with replacing your siloed data infrastructure with data pipelines and data management platforms.
It is the process of designing and deploying systems for collecting, storing, transforming and transporting massive volumes of business data into a unified format for in-depth business analytics. The data is extracted from several disparate sources, processed & collated into a centralized warehouse that acts as a single source of truth and delivers data uniformly for further exploration and analysis.
What would you do if you had a goldmine in your backyard? Your business data is just as lucrative but is lying untapped! An experienced data engineering company, like Rishabh Software, can help you refine this resource and leverage it in so many ways ranging from market research to customer service to sales & more.
Professional service providers can efficiently take care of collecting, collating, parsing, managing, monitoring, analyzing & visualizing massive volumes of data sets. This helps you save a ton of your time and money while enabling you to make better decisions and achieve your business goals.
Automated pipelines – fetching data via push/pull mechanism using file transfers or APIs
Data pipeline automation helps you simplify and speed-up cloud migrations, eliminate the need for manual coding and create a secure and scalable platform for real-time decision-making. Read this blog to learn how you can leverage automation to create a data-driven ecosystem and its business benefits.