For us, data management & analysis is a means to enable businesses to monetize and maximize the value of their data by taking a curated approach. We cover the full life cycle of data management – data ingestion, data quality, catalog & data provisioning. We help organizations to advance to the next level of data usage by providing data discovery & maturity assessment, data quality checks & standardization, cloud-based solutions for large volumes of information, batch data processing with optimization of the database, data warehouse platforms and more.
Our team can develop data architecture by integrating new & existing data sources to create more effective data lakes. Further, they do not focus only on structuring the database & testing operational efficiency but also enable you to rapidly & reliably implement the solutions so you’re able to deliver in domains crucial to your success.
Our data engineers have experience with both on-premises solutions and cloud technologies – they possess hands-on expertise with AWS & Azure platforms and leverage them for complex data engineering work. They can help integrate ETL pipelines, data warehouses, BI tools & governance processes. We build a strong foundation of data and help generate insights from data mining. Our primary goal is to tackle critical technology issues that prevent businesses from exploiting opportunities to transform themselves into a data-savvy company.
We create smart platforms that efficiently help modern enterprises to grow. In a planned approach our team helps migrate your business data from legacy data warehouses & on-premise systems onto cloud-based data lakes or warehouse. This offers numerous opportunities for businesses to conduct real-time exploration and analysis.
We can help build production-grade, independent data workflow pipelines that enable swift movement, transformation & storage of data. This is achieved by utilizing various legacy, Big Data and/or cloud orchestration and data management pipeline tools and techniques like DF, Databricks, Synapse & more to process data in batch and real-time. We can also run serverless pipeline architecture from Azure or AWS to enhance scalability & uptime while reducing your cost per instance.
Our CI/CD services help you automate the way you design, test & deploy your apps while ensuring cost-efficient and timely delivery of high-performance software. Our team has proficiency in developing efficient production build and release pipelines across both legacy and cloud-based deployment services. This is based on infrastructure-as-code artifacts, reference/application data, database objects (schema definitions, functions, stored procedures, etc.). Regardless of whether your DevOps build & release environment needs negligible amendments or a total overhaul, we’re ready to assist you.
Businesses make data-driven decisions and the value of that data depends on their ability to ingest it. With Rishabh, you can extract structured and unstructured data from all sources (streaming & batch) to refine/cleanse it while making it available on legacy systems or cloud systems in a consistent format that enables data scientists & business users for further exploration and analysis. Go from ingestion to insights with a smart approach and make the right decisions at the right time!
Modern businesses generate and store massive amounts of data daily. However, the potential of all this data often remains untapped due to its sheer variety & volume. With our data engineering team, you don’t need to struggle with complex ETL and ELT jobs. It will save you time, effort & money without compromising on the scalability and agility needed for data integration. Our ETL services ensure data integrity that is beneficial for accurate reporting & decision-making even while performing multiple operations on the data as per business need. We have helped many enterprises efficiently manage their DWH projects with our end-to-end ETL capabilities that ensure data is ready to boost business growth.
We help build data repositories rapidly to support essential business functions. Our team can help rapidly consolidate data in a single place for enabling quicker analytics and data insights from copious amounts and varied types of data (relational, logs, JSON) with thoughtfully designed data lakes, warehouses, or data marts. At Rishabh, we have a team of DWH professionals who’ve experience in building enterprise-grade data repositories rapidly that support essential business function(s). With us, you can start small and expand the storage capacity as your business data increases. Whether you want to implement a new data lake or modernize an existing warehouse; you can count on us for enhanced performance & speed with quick disaster recovery.
We specialize in implementing solutions with technology to perform real-time data processing across environments. This ensures faster streaming & processing of information on the go. The processed data can also be ingested into the reporting layer for further analysis, historical reporting, dashboard visualization and business intelligence. Our teams have hands-on experience in helping enterprises like banks to overcome data sharing challenges by solutioning for fraud prevention, personalization of user experience and automation of relevant recommendations. We can also help you move & transform data via batch processing techniques.
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!
Rishabh helps businesses solve their data challenges with sound business strategies that are based on accurate insights. Our data engineering experts assist clients with end-to-end data lifecycle management – from planning & strategizing to implementation. They also help with replacing the costly & siloed data infrastructure with big data pipelines and data management platforms that are fully prepared to implement & maintain AI & analytics.
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 and 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 it is lying untapped! An experienced data engineering company 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.
Based on our experience here are three key challenges:
Having dealt with almost all of them we can help overcome these for any data project.
Automated pipelines – fetching data via push/pull mechanism using file transfers or APIs