Getting started with Hadoop* for your big data analytics projects can be intimidating. This practical guide for IT managers can help you plan and implement big data analytics projects. The guide includes: • The IT landscape for big data and the challenges and opportunities associated with this disruptive force • Introduction to Hadoop, the emerging standard for gaining insight from big data, including processing and analytic tools (MapReduce, HBase*) • Guidance on how to get the most out of Hadoop, with a focus on areas where Intel can help, including infrastructure technology, optimizing, and tuning • Five basic next steps and a checklist to help IT managers move forward with planning and implementing their own Hadoop project
3245KB
Lo sentimos, este PDF sólo está disponible en formato para descarga
Getting started with Hadoop* for your big data analytics projects can be intimidating. This practical guide for IT managers can help you plan and implement big data analytics projects. The guide includes: • The IT landscape for big data and the challenges and opportunities associated with this disruptive force • Introduction to Hadoop, the emerging standard for gaining insight from big data, including processing and analytic tools (MapReduce, HBase*) • Guidance on how to get the most out of Hadoop, with a focus on areas where Intel can help, including infrastructure technology, optimizing, and tuning • Five basic next steps and a checklist to help IT managers move forward with planning and implementing their own Hadoop project
