Data Intellect is a company that provides kdb+ consulting, training, and development services. kdb+ is a high-performance database and analytics platform that is used by financial institutions, hedge funds, and other organizations that need to process and analyze large amounts of data in real time.
As more and more organisations look to modernise their analytics stack and migrate critical AI and ML workloads to the cloud, KX and Data Intellect have announced a strategic partnership to deliver enhanced services for time series analytics and AI use cases built on kdb+, the industry’s most trusted time series and analytics database, and kdb Insights, the industry’s first Data Timehouse.
A leading global kdb+ services provider, specialising in python engineering and data science skills, Belfast-based Data Intellect has built a significant presence within the global financial institutions sector. This partnership will not only reinforce its position as a leading provider of kdb+ solutions but also uniquely tailor its offerings to financial services clients looking to extract the full potential of their KX estate. By integrating KX’s high-speed time series database with Data Intellect’s specialized data science capabilities, clients will gain a more comprehensive, efficient, and insightful analytics platform, enabling them to make better-informed decisions faster.
For KX, the partnership will expand the reach of its industry-leading Data Timehouse technology to more organisations seeking to manage time series data and AI workloads that don’t fit into traditional structured or unstructured data warehouses.
Steve Turner, CEO, at Data Intellect: KX’s market-leading software enables customers to gain significant business and technology advantages, and through this partnership we are well situated to help clients leverage this. Our offerings have expanded to include a global managed service operation allowing clients to focus on their core business while we provide the underlying support framework. With our extensive knowledge and experience we can continuously optimise environments to allow further growth and leverage of the KX software including its Data Timehouse platform. Companies must look to take advantage of a hybrid environment but not view this as a lift and shift – it’s an opportunity to increase performance and drive even more cost benefit from their KX estate.
James Corcoran, Chief Growth Officer, KX: The partnership offers customers a unified value proposition at the intersection of technology and services, ensuring the quick and efficient deployment of KX technology backed up by Data Intellect’s extensive experience in kdb+ and kdb Insights development. Customers can expect faster time to value and the ability to harness the performance and efficiency of KX for both existing and future time series and AI use cases.
Data Intellect is a Platinum sponsor of the upcoming KX Con 23 event, the Data Timehouse Summit for time series & AI practitioners. It recently rebranded from its original AquaQ name to reflect the business’s ambitious growth goals and is a marker in the sand as it sets out to reach its objective to become a world leader in tackling complex data problems by providing full-service solutions to the financial services sector and other markets.
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Data Intellect offers a wide range of kdb+ services, including:
- Consulting: Data Intellect can help you assess your needs and develop a kdb+ solution that meets your specific requirements.
- Training: Data Intellect offers a variety of kdb+ training courses, from introductory to advanced levels.
- Development: Data Intellect can help you develop and deploy kdb+ applications.
- Support: Data Intellect provides ongoing support for your kdb+ applications.
Data Intellect has a team of experienced kdb+ professionals who can help you get the most out of kdb+. They have a proven track record of success in helping organizations of all sizes to improve their data processing and analytics capabilities.
Here are some of the benefits of using Data Intellect for kdb+:
- Access to experienced kdb+ professionals: Data Intellect has a team of experienced kdb+ professionals who can help you with your kdb+ projects.
- Proven track record of success: Data Intellect has a proven track record of success in helping organizations of all sizes to improve their data processing and analytics capabilities.
- Customized solutions: Data Intellect can help you develop a customized kdb+ solution that meets your specific requirements.
- Ongoing support: Data Intellect provides ongoing support for your kdb+ applications.
If you are looking for a kdb+ consulting, training, or development partner, Data Intellect is a great option. They have the experience, expertise, and track record to help you get the most out of kdb+.
Here are some specific examples of how Data Intellect has helped clients with kdb+:
- A financial institution used kdb+ to build a real-time risk management system.
- A hedge fund used kdb+ to develop a trading algorithm that could identify and exploit market inefficiencies.
- A telecommunications company used kdb+ to improve its customer churn prediction model.
If you are interested in learning more about how Data Intellect can help you with kdb+, please visit their website or contact them for a consultation.
kdb is a high-performance database and analytics platform that is used to process and analyze large amounts of data in real time. However, there are a number of challenges that can arise when capturing data for kdb.
Some of the common data capture challenges for kdb include:
- High volume of data: kdb can be used to process and analyze very large volumes of data. This can pose a challenge for data capture, as it can be difficult to collect and ingest data quickly enough to keep up with the inflow.
- Real-time processing: kdb is designed to process data in real time. This means that the data capture process must be able to collect and ingest data at a speed that is fast enough to meet the real-time requirements.
- Heterogeneous data sources: kdb can be used to process data from a variety of sources, including structured, unstructured, and streaming data. This can pose a challenge for data capture, as it can be difficult to collect and ingest data from different sources in a consistent and timely manner.
- Data quality: The quality of the data captured for kdb is critical to the success of the analytics. Any errors or inconsistencies in the data can lead to inaccurate or misleading results.
- Data security: The data captured for kdb must be secure to protect it from unauthorized access or tampering.
To overcome these challenges, it is important to have a well-designed data capture solution that is tailored to the specific needs of the kdb environment. The solution should be able to collect and ingest data from a variety of sources, in real time, and in a way that ensures data quality and security.
Here are some specific tips for overcoming data capture challenges for kdb:
- Use a data lake to collect and store data from a variety of sources. This will make it easier to ingest data into kdb and to perform data quality checks.
- Use a data pipeline to automate the data capture process. This will help to ensure that data is collected and ingested in a timely and consistent manner.
- Use a data quality tool to check the quality of the data before it is ingested into kdb. This will help to prevent errors and inconsistencies in the data.
- Implement data security measures to protect the data from unauthorized access or tampering.
By following these tips, you can overcome the data capture challenges for kdb and ensure that your data is ready for analysis.
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