Scikiq FAQs

Yes, SCIKIQ Control can discover data across a variety of sources and platforms, including databases, file systems, and application stores. It also has built-in support for extracting metadata from existing data, making it easy to identify and understand the relationships between different data sources. (more)

SCIKIQ's automated data discovery process uses advanced algorithms and AI-driven features to scan and identify relevant data sources across an organization. This process not only saves time and effort, but also ensures that all relevant data is captured and integrated, leading to more accurate and actionable insights. (more)

Data curation in SCIKIQ is an important aspect of the data management process that allows organizations to bridge the gap between different stakeholders, departments, data owners and developers. SCIKIQ Curate provides a broad framework of data curation tools like the Data Prep Studio, Logical and Business Data Modeling, Orchestrator & Schedules that allow users to perform various data transformation functions, join multiple tables from various sources, and create a data model that can be easily understood and used to drive business growth. (more)

Yes, SCIKIQ is designed to handle high volume data processing, even millions of records at the same time. It offers a cost-effective method for processing data on cloud or on-premise with maximum data privacy and security. (more)

SCIKIQ is a unique data fabric management platform that offers a comprehensive solution for data integration, governance, and curation. Unlike other data integration tools on the market, SCIKIQ provides an all-in-one platform that consolidates multiple vendors and point solutions into a single solution. This not only simplifies the data management process, but also helps organizations save costs and time.

One of the key differentiators of SCIKIQ is its automation capabilities. The platform utilizes AI-driven features to automate data discovery, integration, and curation tasks. This means that organizations no longer have to rely on manual processes, which can be time-consuming and error-prone.

Instead, SCIKIQ's automation capabilities enable organizations to quickly and easily discover, integrate, and curate data, thus providing them with the ability to make data-driven decisions more efficiently. Additionally, SCIKIQ’s automation provides a level of scalability, intelligence and significantly reduces the time-to-value of data. (more)

SCIKIQ Control uses Neo4J to capture data lineage at every stage of the data journey and provides a complete 360-degree view of the system. This helps organizations understand where each resource is being used and identify duplicity, encouraging re-use of existing modules. (more)

SCIKIQ supports a wide range of data sources including structured and unstructured data from databases, data warehousing products, file systems, application stores such as SAP and Salesforce, and Hadoop ecosystem. It also supports real-time sources like Kafka Confluent and log-based CDC using Debezium. Additionally, SCIKIQ offers process migration capabilities which allows users to capture data using standard process migration recipes. (more)

SCIKIQ Control includes a Data Quality Management feature that allows organizations to define and enforce data quality rules, detect personally identifiable information (PII), and detect and correct data errors. This helps organizations ensure that their data is accurate, reliable, and fit for purpose.

All this is done with support of Powerful AI supporting the data quality (more)