Intel® Technologies Move Analytics Forward
Data analytics is the key to unlocking the most value you can extract from data across your organization. To create a productive, cost-effective analytics strategy that gets results, you need high performance hardware that’s optimized to work with the software you use.
Modern data analytics spans a range of technologies, from dedicated analytics platforms and databases to deep learning and artificial intelligence (AI). Just starting out with analytics? Ready to evolve your analytics strategy or improve your data quality? There’s always room to grow, and Intel is ready to help. With a deep ecosystem of analytics technologies and partners, Intel accelerates the efforts of data scientists, analysts, and developers in every industry.
Optimizing the Data Pipeline
A data pipeline is created as information moves from raw data to more-processed forms. At each of these stages, Intel® technologies make it possible for organizations to move ahead and get more from their data.
- Data processing: The data life cycle starts with data ingestion, in which data is extracted from sources.
- Database and data storage: Next, data is prepared for use and stored in a system that can be accessed by users and applications.
- Data analytics: Data is analyzed by software applications or platforms.
- Data modeling: Business users and analysts can act on findings.
A well-constructed data pipeline supports business intelligence, helping you identify trends and analyze data effectively at scale. Intel® technologies deliver the performance to create analytics programs that are scalable, reliable, and actionable.
Intel Analytics Technology
With hardware and software to accelerate analytics at every stage of the data life cycle, Intel can help extend your capabilities and enhance your understanding of massive amounts of data.