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Big Data Management
Big Data Management

SourceOn IT Data Management is a complete set of AI-enabled solutions that allow organizations to collect data of any type, source and structure to make it simple and accessible across multiple vendors, deployments and workloads.

Big data management is the organization, administration and governance of large volumes of both structured and unstructured data. Many organizations have invested heavily into big data— building or have already built data lakes to attempt to capitalize on the promise of big data. However, we have found that most clients are still struggling to move users from their legacy systems to the new big data ecosystems.

Users continue to show apprehension to commit to the “ new,” often due to a variety of reasons (e.g. steeper learning curves). This has prompted many organizations to have to revisit their adoption strategies. It is no longer enough to take the “ build it and rely on the promise of big data for users to come” approach.

The goal of big data management is to ensure a high level of data quality and accessibility for business intelligence and big data analytics applications.

The increasing focus on collecting and analyzing big data is shaping new platforms that combine the traditional data warehouse with big data systems in a logical data warehousing architecture. As part of the process, the must decide what data must be kept for compliance reasons, what data can be disposed of and what data should be kept and analyzed in order to improve current business processes or provide a business with a competitive advantage. This process requires careful data classification so that ultimately, smaller sets of data can be analyzed quickly and productively.

Big data management is a broad concept that encompasses the policies, procedures and technology used for the collection, storage, governance, organization, administration and delivery of large repositories of data. It can include data cleansing, migration, integration and preparation for use in reporting and analytics, enabling access to numerous massive data sets in their original formats.

Today’s business users, who are more adept than their predecessors, often want to access and prepare the data in its raw format rather than having it fed to them through a chain of operational data stores, data warehouses and data marts. Business users want to scan the data sources and craft their reports and analyses around their own business needs.

The right Big Data management solution will accelerate data ingestion, simplify real-time analytics, monitor data usage, control costs and more easily manage Big Data workloads. For a growing number of companies worldwide, SourceOn IT provides enterprise data management solutions that can enhance data delivery and availability, automate data readiness and optimize Big Data management with intelligence.

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