Tag: Hadoop

Analytics
SAS Colombia 0
Los cuatro mitos de un CIO moderno

Un Chief Information Officer tiene ciertas características que lo hacen desempeñarse dentro de un rol único. Sin embargo, gracias a los retos que conlleva ahora la implementación de proyectos de analítica avanzada en las organizaciones, han surgido algunos mitos que rodean el rol de TI. Keith Collins, Vicepresidente Senior de

Chris Hartmann 0
Wie IT die Automobil-Branche verändert und welche Rolle Google dabei spielt

Wussten Sie schon: Für 13% der Autokäufer ist ein Neu-Fahrzeug ohne Internetzugang ein "no-go"! Dreizehn Prozent! Das bedeutet gleichzeitig 13% weniger Umsatz für den OEM. Die Unternehmensberatung Bain erwartet, dass diese sogenannten Connected Cars in nur wenigen Jahren die Regel und nicht mehr die Ausnahme sein werden.   Dabei sind Connected Cars nur der Anfang: OEMs stehen jetzt vor der Herausforderung, ihr Portfolio noch einmal deutlich zu

Felix Liao 0
Three Things You Should Know About SAS and Hadoop

I have been on a whirlwind tour locally here in Australia visiting existing SAS customers where the focus of discussions have centered around SAS and Hadoop. I am happy to report that during these discussions, customers have been consistently surprised and excited about what we are doing around SAS on

Data Management
Anne Belder 0
Hadoop: the game-changer in banking

At most banks, data is stored in separate databases and data warehouses. Customer data is stored in marketing databases, fraud analyses are done on transactional data, and risk data is stored in risk data warehouses. Oftentimes even liquidity, credit, market, and operational risk data is stored separately as well. Bringing

SAS Administrators
Stuart Rogers 0
SAS and Hadoop—living in the same house

So, with the simple introduction in Understanding Hadoop security, configuring Kerberos with Hadoop alone looks relatively straightforward. Your Hadoop environment sits in isolation within a separate, independent Kerberos realm with its own Kerberos Key Distribution Center. End users can happily type commands as they log into a machine hosting the

Mark Torr 0
How Hadoop emerged and why it gained mainstream traction

In the world of IT, very few new technologies emerge that are not built on what came before, combined with a new, emerging need or idea. The history of Hadoop is no exception. To understand how Hadoop came to be, we therefore need to understand what went before Hadoop that led to its creation. To understand

Data Management
Steve Polilli 0
Your data is in Hadoop, so what?

Okay, let's say your data is in Hadoop. The distributed, open source framework is configured as it should be across low-cost servers and your data is sitting in those clusters. It's been a meaningful effort to get to this point but how does it benefit your organization? If it's not doing something

Thomas Keil 0
Die Ganesha-Strategie - Hadoop mit SAS

Sie kennen den kleinen gelben Elefanten schon? Hadoop verändert gerade die Welt – zumindest in der IT. Es gibt Experten, die prophezeien, dass bereits in den nächsten drei Jahren mehr als die Hälfte aller Daten der Welt in Hadoop gespeichert werden. Fakt ist: Bereits heute liegen die durchschnittlichen Kosten pro

Arun C. Murthy 0
SAS high-performance capabilities with Hadoop YARN

For Hadoop to be successful as part of the modern data architecture, it needs to integrate with existing tools. This integration allows you to reuse existing resources (licenses and personnel) and is typically 60% of the evaluation criteria for integration of Hadoop into the data center. One of the most

Paul Kent 0
Share your cluster – How Apache Hadoop YARN helps SAS

Even though it sounds like something you hear on a Montessori school playground, this theme “Share your cluster” echoes across many modern Apache Hadoop deployments. Data architects are plotting to assemble all their big data in one system – something that is now achievable thanks to the economics of modern

Programming Tips
Jason Xin 0
Partitioning in Hadoop, sorting in SAS--same results, different methods

SAS In-Memory Statistics for Hadoop is a single interactive programming environment for analytics on Hadoop that  integrates analytical data preparation, exploration, modeling and deployment. It’s principle components are the IMSTAT procedure (PROC IMSTAT) and the SAS LASR Analytic Engine (or SASIOLA engine for input-output with LASR). Within the SAS In-Memory Statistics

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