Analyst and Third-Party Reports

Featured Analyst Report

Evolution of Big Data Analytics: Experiences with Teradata Aster and Apache Hadoop This study explores the evolution of big data analytics and its maturity within the enterprise. The initial focus was on the approaches and economics to using Teradata Aster Discovery Platform and Apache Hadoop within the same analytical architecture.

RIS Thought Leadership Series: Leveraging Big Data for Big Decisions For retailers seeking to understand the value of Big Data in gaining insight into their business questions involving inventory, pricing, staffing, fulfillment and so on, this report delves into the opportunities presented through Big Data initiatives.

TDWI Report: Integrating Hadoop into Business Intelligence and Data Warehousing There is both hype and enlightened discussions in the IT press and elsewhere, extolling Hadoop as an enabler for big data, analytics, and multi-structured data. Yet, despite the attention Hadoop has received, relatively few BI professionals and other IT personnel are familiar with it. The purpose of this report is to accelerate users’ understanding of the many new Hadoop-based products that have emerged in recent years, mapping newly available Hadoop options to real-world use cases.

Enterprise Management Associates and 9sight Consulting Research Report: Big Data Comes of Age In the IT industry, 2012 has been the year of Big Data. There is hardly a vendor who does not have a solution or, at least a go-to-market strategy. This Report highlights how companies’ Big Data solutions range far beyond social media and machine-generated data to include all types of traditional transactional business data.

Enterprise Strategy Group, Inc. Lab Validation Report: Teradata Aster Discovery Platform This ESG Lab Validation Report compares Hadoop with Aster, exploring and contrasting their strengths as key parts of a unified big data architecture.

Colin White Whitepaper: MapReduce and the Data Scientist This report explains the benefits of big data and the role of the data scientist in deploying big data solutions. It discusses the benefits of Hadoop MapReduce, Hive, and relational DBMSs that have added MapReduce capabilities.

Rick F. van der Lans Technical Whitepaper: SQL-MapReduce® for Advanced Analytical Queries In this report, you will learn how to: accelerate advanced analytical workloads; compare SQL, user-defined functions, MapReduce, and Hadoop/Hive; and understand real-world use cases.

Neil Raden Research Report: Putting All Your Eggs in Three Baskets This white paper pinpoints where Hadoop is appropriate and where traditional data warehousing and business intelligence environments are appropriate. It then presents a third option; innovative, hybrid systems that are relational databases with embedded MapReduce capabilities such as the Teradata Aster SQL-MapReduce® Platform.

Forrester Research Paper: Welcome to the Era of Digital Intelligence This report explains the difference between the newly coined term, “digital intelligence,” and traditional web analytics, and presents the importance of implementing this new analytic standard.

Forrester Research Paper: Expand Your Digital Horizon with Big Data This report delves into the situation of big data at extreme scale and presents a balanced approach on how to leverage it for greater insight and business performance.

Web Analytics Demystified: Beyond Surface-Level Social Media Beginning with defining the new concept of "surface-level social media," this white paper explores ways in which enterprises are harnessing the voices and behaviors of their customers to use to their competitive advantage.

TDWI: Hadoop—Revealing Its True Value for Business Intelligence The latest Checklist Report from TDWI drills into common points of confusion surrounding Hadoop, clarifying these points and revealing the true value of Hadoop for BI, DW, big data, and analytics.

TDWI Best Practices Report: Big Data Analytics Philip Russom, director of TDWI Research, explains: the business opportunity big data presents; the application of advanced analytics on big data sets; and vendor solutions for big data analytics.

IDC Research Report: Take Care of Your Quants - Focusing Resources on Quantitative Analysts Matters IDC Vice President Dan Vesset explains that the biggest positive differences among leaders and the rest come from the introduction of new types of data and new analytics.

Analytic Platforms: Beyond the Traditional Data Warehouse Merv Adrian and Colin White of the BeyeNetwork explain how "analytic database management system players have sought to upend the notion that one database is sufficient for all storage and usage of corporate information."

TDWI Checklist Report: Big Data Analytics Wayne Eckerson, director of TDWI Research, provides six guidelines for implementing big data analytics to help enterprises take the first steps toward achieving a lasting competitive edge with analytics.

The 451 Group: Aster Data Systems Adds Columnar Storage Engine to Analytic Database Aster Data has launched version 4.6 of its nCluster massively parallel analytic database, adding a column-based storage engine to improve query performance for predefined queries that benefit from column-based data storage.

Neil Raden Research Report: Advanced In-Database Analytics Done Right In this report, analyst Neil Raden explains: areas in your business where you can apply advanced analytics; considerations for choosing the right analytic platform; the difference between traditional and advanced in-database analytics; and how to keep up with hardware as processing power increases.

WinterCorp Whitepaper: Aster Data nCluster - A New Architecture for Data Analytics Many enterprises find their analytic data requirements and opportunities growing rapidly. Businesses want scalable, reliable and eocnomical solutions for these needs.

Forrester Report: In-Database Analytics - The Heart of the Predictive Enterprise With in-database analytics, enterprises migrate their predictive analysis, data mining, and other compute-intensive analytic functions from separate, standalone applications to execute in the enterprise data warehouse.