Executive Summary: Integrazione Hadoop in Business Intelligence e Data Warehousing

AppId is over the quota AppId is over the quota Hadoop promises to assist with the toughest challenges in BI today, including big data, advanced analytics, and multi-structured data. Download this TDWI Best Practices Report to learn how to integrate Hadoop into your business intelligence, analytics, data integration, and data warehousing technology stacks.

Apache Hadoop is an open source software project administered by the Apache Software Foundation (ASF). The Hadoop family of products includes the Hadoop Distributed File System (HDFS), MapReduce, Pig, Hive, HBase, and so on. These products are available as open source from ASF, as well as from several software vendors. The number of vendor products that integrate with Hadoop products increases almost daily. In this report, the term “Hadoop” usually means the entire Hadoop family of products, regardless of their open source or vendor origins. Some discussions focus specifically on HDFS.

Business intelligence (BI) professionals’ interest in Hadoop has been driven up in recent years because Hadoop has proved its usefulness with the toughest challenges in BI today, namely big data, advanced analytics, and multi-structured data. For that reason, TDWI anticipates that Hadoop technologies will soon become a common complement to (but not a replacement for) established products and practices for business intelligence (BI), data warehousing (DW), data integration (DI), and analytics. Therefore, a wide range of user organizations need to prepare for Hadoop usage. Although it’s true that Hadoop can be valuable as an analytic silo, most organizations will prefer to get the most business value out of Hadoop by integrating it with—or into—their BI, DW, DI, and analytics technology stacks.

According to this report’s survey, users with hands-on Hadoop experience say it’s still immature and needs serious improvements in security, administrative tools, high availability, and real-time operation. These and other problems are being addressed by the open source community of technical users, which continues to infuse innovation into existing Hadoop products as well as introduce new ones via ASF’s incubation process. The pace of Hadoop innovation has accelerated because a number of software vendor firms now contribute to Hadoop’s open source. The first wave of support for Hadoop technologies by vendor tools and platforms is already in place, with subsequent waves coming soon. The number of technical users conversant in Hadoop is increasing steadily.

TDWI Best Practices Report | Hadoop integration in Business Intelligence and Data Warehousing

Recently, some passwords have been reset because they were non-compliant in length (three characters or less). If you are having problems with a short character password, click "Forgotten Password" for your new password

Note: If you reached this page from free membership box on the home page, you already have an account. Please log in.

Free membership with TDWI allows you access sponsored content, such as:

Webinar White Paper Library reports and best practices more

Premium membership provides access to original TDWI research and publications, such as:

Business Intelligence Journal ten mistakes to avoid salary, roles, and responsibilities report and more

Compare the benefits here.

Questions? E-mail info@tdwi.org.

TDWI Research Report Reveals Hadoop Technologies to Impact Half of BI/DW Environments within Next Three Years

AppId is over the quota
Accettazione utente e aggressivo adozione di soluzioni open source indicare preparativi in corso per soddisfare le crescenti esigenze di grandi quantità di dati e analisi avanzate

SEATTLE, WA, 1° aprile 2013 — TDWI Research ha annunciato il rilascio della sua nuova relazione pratiche migliori, Hadoop integrando in Business Intelligence e Data Warehousing. Questa ricerca originale, basata sull'indagine analizza lo stato attuale di utilizzo Hadoop e il futuro impatto che questa famiglia open source di prodotti avrà sulla business intelligence (BI), data warehouse (DW), l'integrazione dei dati (DI) e l'analisi entro i prossimi anni.

"Hadoop è pronta a soddisfare alcune delle sfide più difficili nella BI — principalmente grandi quantità di dati, advanced analytics e la capacità di estrarre il prezioso visione da risme di dati non strutturati," ha dichiarato Philip Russom, autore del rapporto.  "Per questo motivo, TDWI predice che Hadoop tecnologie giocherà un ruolo importante nell'aumentare DW esistente e DI pratiche di analisi nei prossimi pochi anni," spiega Russom.

E importante notare che, sebbene il rapporto di ricerca rivela imminenti modifiche agli ambienti BI/DW stabiliti, l'emergere di tecnologie Hadoop non deve essere considerato un sostituto per i prodotti attuali o pratiche.

Intervistati con Hadoop esperienza dire che essi hanno già incorporato Hadoop con una serie di strumenti analitici, DWs e database — mostrando che Hadoop è già una componente vitale delle pile tecnologia BI/DW. "Adozione di tecnologie Hadoop aumenta, vogliamo preparare agli utenti di integrare con successo queste tecnologie potenzialmente trasformative nei loro sistemi esistenti per muoversi verso un'analisi più approfondita e più potenti risultati di business. Quindi, è importante che gli utenti preparano per Hadoop implementazione ora,"conclude Russom.