Big Data

Measured in terms of volume, velocity, and variety, big data represents a major disruption in the business intelligence and data management landscape, upending fundamental notions about governance and IT delivery. With traditional solutions becoming too expensive to scale or adapt to rapidly evolving conditions, companies are scrambling to find affordable technologies that will help them store, process, and query all of their data. Innovative solutions will enable companies to extract maximum value from big data and create differentiated, more personal customer experiences.

Latest Research

For Enterprise Architecture Professionals

REPORT: The Forrester Wave™: Cloud Hadoop/Spark Platforms, Q1 2019

The 11 Providers That Matter Most And How They Stack Up

February 13, 2019 Noel Yuhanna, Mike Gualtieri

Cloud Hadoop/Spark (HARK) platforms accelerate insights by automating the storage, processing, and accessing of big data. In our 25-criterion evaluation of HARK providers, we identified the 11 most significant ones — Amazon Web Services (AWS), Cloudera, Google, Hortonworks, Huawei, MapR, Microsoft, Oracle, Qubole, Rackspace, and SAP — and researched, analyzed, and scored them. This report shows how each provider measures up and helps enterprise architecture (EA) professionals select the right one for their needs. Note: Cloudera and Hortonworks completed their planned merger on January 3, 2019, and will continue as Cloudera. This Forrester Wave reflects our evaluation of each company's independent HARK platforms prior to the completion of the merger.
For CIO Professionals

REPORT: The Forrester Wave™: Enterprise Insight Platforms, Q1 2019

The Nine Providers That Matter Most And How They Stack Up

January 7, 2019 Brian Hopkins

In our 21-criterion evaluation of enterprise insight platforms (EIPs), which combine data management, analytics, and insight application development tooling, we identified the nine most significant ones — EdgeVerve, GoodData, Google, IBM, Microsoft, Reltio, SAP, SAS, and TIBCO Software — and researched, analyzed, and scored them. This report shows how each provider measures up and helps CIO professionals make the right choice when selecting an enterprise insight platform.
For Enterprise Architecture Professionals

REPORT: Data Technology Pathfinder

Landscape: The Data Management Playbook

December 19, 2018 Michele Goetz

The variety, velocity, and volume of data continue to explode; business stakeholders want direct access to diverse data; and firms now set policies and assume the risk of data management and usage. In light of all this, enterprise architecture (EA) pros need to modernize their firms' data management environments. To do so, they must intertwine business strategy and data strategy through shared goals. This report outlines the varied and complex data management landscape and what to expect as data technology and solutions evolve. This is an update of a previously published report; Forrester reviews and revises it periodically for continued relevance and accuracy.
For Application Development & Delivery Professionals

REPORT: Upgrade Your BI Data Architecture For Agile Insights, Part 1

The Three-Part Guide To BI Modernization

December 4, 2018 Boris Evelson

The three-tier "layer cake" business intelligence (BI) architecture based on ETL, an enterprise data warehouse, and a BI tool is inflexible and outdated. This report, part one of our BI modernization series, gives recommendations to application development and delivery (AD&D) pros working on BI initiatives on how to upgrade their BI data architecture with the latest technologies for greater agility and faster application delivery.
For Application Development & Delivery Professionals

REPORT: Get Faster And Better Insights From Your BI Tools, Part 2

The Three-Part Guide To BI Modernization

December 4, 2018 Boris Evelson

A single enterprise business intelligence (BI) platform that only targets descriptive and diagnostic analytics applications is a thing of the past, especially for large enterprises. This report explains why application development and delivery (AD&D) pros working on BI initiatives need to upgrade to modern BI platforms that offer machine learning capabilities, integrate multiple BI platforms into a BI fabric environment, and include other relevant BI technologies for greater agility and faster application delivery.