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Data-Driven Businesses Today’s data-driven businesses rely on analytics insights for creating customer value, maximizing operational efficiencies and achieving competitive advantage. More data than ever before is captured and flows throughout the entire enterprise, from millions of IoT smart devices at the edge of the network, through thousands of applications, to repositories on-premises, and on public and private cloud.
With a new century in full swing and predictions showing that in the next five years global data will increase by around 80 percent (from 33 zettabytes in 2018 to 175 zettabytes in 2025*), it is more relevant than ever that organizations look at not only how to manage their data in a secure way, but also how to exploit this rich source for potential revenue generation and business advancement.
Apache Hadoop is an open source platform that provides a software framework for highly reliable, scalable, distributed storage and processing of large data sets.
Ahead of the 2019 Chief Data Officer Exchange, attendees were asked what their top challenges were and where they plan to invest in the next 6 - 12 months. Download the infographic to see the full results.
- Data lake origins and challenges including hybrid data integration, multiple data source platforms, and lakes both on premises and in the cloud.
- Real-time integration, with change data capture technology that integrates live transactions with the data lake.
- Rethinking the data lake with multi-stage methodology, continuous data ingestion and merging processes that assembles a historical data store.
- Leveraging a scalable and autonomous streaming data pipeline to deliver analytics ready data sets.
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