Product Resources

Forrester Report: Massive But Agile - Best Practices for Scaling the Next-Generation Data Warehouse Information and knowledge management (I&KM) professionals continue to expand the scale, scope, and deployment roles for their enterprise data warehouse (EDW) investments.

Next-Generation Data Warehouses: Considerations for Scaling Your Analytic Infrastructure The difference in growth rate between data and computer power creates a gap between the need for analysis and the ability of a system to deliver that analysis via hardware scale-ups.

Unlocking the Full Power of Massive Parallelism: Solving the Network Bottleneck in MPP Databases Aster nCluster is optimized logically and physically for network efficiencies to provide a fast, scalable database platform.

Aster nCluster In-Database MapReduce: Deriving Deep Insights from Large Datasets Aster In-Database MapReduce combines the power of MapReduce with the strengths of relational databases for fast analysis and transformations of structured data.

Beyond Reporting: Requirements for Large-Scale Analytics TDWI Research Director Wayne Eckerson explains how organizations can increase the value of their data investments by moving beyond reporting to empower business analysts with data-driven applications.

Growing Revenues with Frontline Data Warehouses The frontline data warehouse is the newest innovation in analytics and data warehousing, designed to collect, manage and monetize the avalanche of data entering today's enterprises.

High Performance Risk Data Management and Analytics Risk management is an increasingly critical function as financial firms and regulators deal with the current economic crisis.

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Overview

Aster Data Systems Corporate Overview

Aster nCluster - Total Cost of Ownership

Product Data Sheets

Aster nCluster 3.0 Data Sheet

Aster nCluster Cloud Edition

Aster MapReduce Data Warehouse Appliance

Technical Briefs

Aster nCluster - Performance and Scalability

Aster nCluster - Manageability

Aster nCluster - Availability

Aster nCluster - Online Backup

Aster nCluster - Compression

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MySpace Scales Analytics for All Their Friends MySpace needed a system that could scale easily as its traffic grew, quickly load terabytes of data, and perform simple and complex queries for intraday analysis and response.

ShareThis Provides Insight to What Matters in the Cloud ShareThis, a Web content-sharing network, needed to quickly scale a multi-terabyte data warehouse without massive hardware investments. With Aster nCluster Cloud Edition and Amazon Web Services, ShareThis mines 1.5 terabytes of new data per month.

aCerno: Faster Database Performance to Improve Ad Targeting When aCerno, the world's first online advertising cooperative, needed to speed their data loads to improve their modeling so their ads would reach the right audience, they turned to Aster.

Coremetrics Chooses Aster Data Systems nCluster (press release) Coremetrics needed a highly available database built for real-time analytics to power their Software as a Service solution, which helps companies maximize online transactions.

Specific Media Chooses Aster Data Warehousing Solution (press release) Specific Media, the advertising industry's largest independent online advertising network, uses commodity hardware to analyze data on 143 million web visitors a month with the distributed analytic processing power of Aster nCluster.

Buddy Media Selects Aster Data Systems as Analytics Partner for Measuring Engagement on Social App-Vertisements (press release) Buddy Media, the leading media company for social media strategies and branded app-vertisements, provides deeper insight into consumer behavior on branded social media applications with the Aster nCluster database.

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Mastering MapReduce Webinar Series, Session 1 - “Big Data Reality: The Role of MapReduce in Big Data Management and Analysis" Industry analyst Curt Monash explains the basics of MapReduce, key uses cases, and which industries and applications are heavily using MapReduce.

CableLabs Summer '08 Aster presents its nCluster database to the cable industry.

Forrester Webinar: Best Practices for Scaling the Next-Generation Data Warehouse James Kobielus, Senior Analyst with Forrester Research, discusses his latest research around scaling data warehouses to support today’s data-driven businesses, including how to: Scale your EDW through parallelism; Accelerate your EDW with appliances; Optimize your EDW’s distributed storage layer; Get more value from your data through in-database analytics.

Establishing an Always-On Data Warehouse for Mission-Critical Applications Gartner and Aster explain how an "always on" data warehouse gives your business a competitive edge.

MapReduce for Data Warehousing and Analytics Anand Rajaraman, CEO and Founder of Kosmix and Consulting Assistant Professor in the Stanford University Computer Science Department, and Aster describe practical applications of In-Database MapReduce.

In-Database MapReduce An overview and demonstration of In-Database MapReduce.

Next-Generation BI: Scaling Up to Support Large-Scale Reporting and Analytics TDWI and Aster discuss the requirements for scaling your data system as part of the TDWI Webinar Series.

Data Warehousing in the Cloud is Here ShareThis describes how they have implemented the largest data warehouse on Amazon EC2 with the help of Amazon Web Services and Aster nCluster.

Total Cost of Ownership Aster provides the industry's lowest TCO by addressing the four main costs in owning a data warehouse - hardware, administration, scaling, and downtime.

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This resource contains published academic papers written by Aster Data Systems employees about the challenges facing the data community.

Analytic Power

• SQL/MapReduce: A practical approach to self-describing, polymorphic, and parallelizable user-defined functions
• A Scalable, Predictable Join Operator for Highly Concurrent Data Warehouses
• The Architecture of PIER: an Internet-Scale Query Processor
• Querying at Internet-Scale
• Turbo-charging Vertical Mining of Large Databases
• Minimizing View Sets without Losing Query-Answering Power
• SETS: Search Enhanced by Topic Segmentation
• Efficient and Extensible Algorithms for Multi Query Optimization
• Don't Trash your Intermediate Results, Cache 'em
• Materialized View Selection and Maintenance Using Multi-Query Optimization
• Pipelining in Multi-Query Optimization
• Garbage Collection in Object-Oriented Databases Using Transactional Cyclic Reference Counting
• OSQR: Overlapping Clustering of Query Results
• Enhanced Business Intelligence Using EROCS
• Efficient Subsequence Matching in Time Series Databases Under Time and Amplitude Transformations
• Extracting Cyber Communities Through Patterns

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Availability

• Recursive Restartability: Turning the Reboot Sledgehammer into a Scalpel
• Reducing Recovery Time in a Small Recursively Restartable System
• Crash-Only Software
• Recovery-Oriented Computing: Building Multitier Dependability
• Microreboot - A Technique for Cheap Recovery
• Improving Availability with Recursive Microreboots: A Soft-State System Case Study
• Autonomous Recovery in Componentized Internet Applications
• Toward Self-Healing Multitier Services
• The Price of Validity in Dynamic Networks
• Transience of Peers and Streaming Media

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Manageability

• DART: Distributed Automated Regression Testing for Large-Scale Network Applications
• Combining Visualization and Statistical Analysis to Improve Operator Confidence and Efficiency for Failure Detection and Localization
• A Scalable, Sound, Eventually-Complete Algorithm for Deadlock Immunity
• Predictable Software - A Shortcut to Dependable Computing?
• Middleware-based Replication: The Gaps Between Theory and Practice

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Reliability

• A Utility-Centered Approach to Building Dependable Infrastructure Services
• ConfErr: A Tool for Assessing Resilience to Human Configuration Errors
• GnatDb: A Small-Footprint, Secure Database System

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Scalability

• PlanetLab: An Overlay Testbed for Broad-coverage Services
• User-Centric Performance Analysis of Market-Based Cluster Batch Schedulers
• Distributed Hash Queues: Architecture and Design
• OnCall: Defeating Spikes with a Free-Market Application Cluster
• Online Balancing of Range-Partitioned Data with Applications to Peer-to-Peer Systems
• Peer-to-Peer Research at Stanford
• Symphony: Distributed Hashing in a Small World
• Locality-Aware Request Distribution in Cluster-based Network Servers
• Soft Timers: Efficient Microsecond Software Timer Support for Network Processing
• Efficient Support for P-HTTP in Cluster-Based Web Servers
• Cluster Reserves: A Mechanism for Resource Management in Cluster-based Network Servers
• The SawMill Framework for Virtual Memory Diversity
• Distributed File Organization with Scalable Cost/Performance
• A Performance Model of a Design for a Minimally Replicated Distributed Database for Database-Driven Telecommunications Services
• DERBY: A Memory Management System for Distributed Main Memory Databases
• Snowball: Scalable Storage on Networks of Workstations with Balanced Load
• Architectural Considerations for Efficient Software Execution on Parallel Microprocessors

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Security

• Detecting identity-based attacks in wireless networks using signalprints
• MobiCom poster: public-key-based secure Internet access.
• DoS and authentication in wireless public access networks
• Authenticity and availability in PIPE networks
• MIDAS: An Impact Scale for DDoS attacks
• Analyzing Large DDoS Attacks using Multiple Data Sources
• Reval: A Tool for Real-time Evaluation of DDoS Mitigation Strategies

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