As big data continues to grow in volume and importance, many businesses are looking for the optimal building blocks on which to deploy a solution. There is no shortage of vendors keen to provide their tools, but not all have the same depth of functionality to meet both application needs and operational requirements. With its recent version 7 release, MarkLogic has developed a robust NoSQL database capable of satisfying enterprise customer expectations.
One of the more common challenges in realizing the benefits of advanced analytics is the relative scarcity of talent with the technical skills to manipulate the data. Business decision makers are not often experts in statistical analysis, and IT staff doesn’t always understand how to best frame the questions for the business. Alpine Data Lab’s web-based visual tool simplifies the process of configuring and running a host of common analytical functions from a wide range of sources, making it easier for more people to gain valuable insights from their data.
A short discussion of factors to consider in looking at an enterprise Hadoop distribution for your big data efforts, based on a conversation with Cloudera.
Last week was the standing room only Data Science Summit, brought to you by Venture Beat, and the message was clear: Big Data is here in force and the elite of the IT world are all over the opportunity. Few people have the perfect blend of business savvy, IT wizardry, and analytical expertise. So what’s an organization to do?
ESG Reference Research includes data-centric reports and briefs designed for market intelligence, marketing, product marketing/management, engineering, and corporate strategy professionals at IT vendor organizations. ESG’s Reference Research content is intended to assist in market segmentation, market sizing, product requirements analysis, and other business planning exercises, while also providing IT professionals a way to benchmark themselves against their peer organizations. This Reference Research brief focuses on the amount organizations spend on data protection technologies and processes in a typical year and includes analysis of this data by number of employees, vertical industry, annual revenue, number of production servers worldwide, and total volume of data stored on corporate servers and storage systems.
ESG is designing a survey on the world of big data, business intelligence, analytics, and related topics. We would welcome your input. What questions do you think we should be asking?
This ESG Lab Review documents hands-on testing of the Hadapt Adaptive Analytical Platform for Big Data. The paper details how the Hadapt solution integrates into the Hadoop ecosystem and enables customers to analyze all their structured, semi-structured, and unstructured data in a single flexible platform.
A light-hearted, introductory post to the new "Big Data, The Universe and Everything" blog by Nik Rouda, which will cover the topics of big data, including hadoop, business intelligence, analytics, visualization, and various other data management approaches.
Integration, analytics, services, identity, and "C-level" messages....
The past few days were spent engaged with IBM and their annual Software Analyst event. The meetings started out with Steve Mills talking about their overarching strategy and their shift in how they design products (you have to check out their new design studio in Austin) and how the enterprise is driven by internal and external customers. Read on to see what else I learned ...
This report summarizes the results of independent, third-party testing of big data security analytics (SIA) solutions from Solera Networks–with a focus on performance, accuracy, intuitive security, and intelligence analytics.
Q&A is meant to cut through vendor spin and help users understand and benefit from big data security analytics.
As cloud computing continues to mature and in many ways (IaaS) become more of the utility that Nick Carr and others have envisioned – it is time to move up the stack – don’t you think? Or at least consider how PaaS and SaaS are developing as the next waves of cloud computing.
To that end – there are a plethora of things going on in the PaaS world these days when it comes to analytics. And we’re not just talking the Big Data hokum that seems to be rolling off of everyone’s tongue but real down-to-earth analytics.
The methodology presented in this report was designed to assess the performance capabilities and scalability of the MemSQL real-time analytics platform. Tests were designed to emulate a customer environment where real-world interactive analytic queries are executed while the platform simultaneously ingests new data in real-time.
Oracle’s dramatic re-architecture of its latest enterprise relational database, Oracle Database 12c, offers database customers a long list of real improvements to support cloud implementations, enable the consolidation and management of many databases as one, and streamline the day-to-day work of database administrators.
It's business model changes that upset the traditional way of doing things.
Hadoop is a natural fit for big data ETL as a platform, but lacks modern tools and certain optimzations. Syncsort steps into the fray with a GUI-based solution to speed along big data ETL on Hadoop.
SAP senses an opening in big data and related markets, and is using HANA to widen and push through the opening, using a shared success model with partners and customers.
ESG’s Market Landscape Report defines the information security analytics market and includes coverage of 21 vendors. Due to the rapidly changing nature of this emerging market, ESG is making the report available on a complimentary basis for a limited time.