Jethro, provider of an index-based SQL acceleration engine that makes Business Intelligence (BI) work on Hadoop, is slated to release Jethro 2.0 featuring “auto-cubes.”
Analyzing big data poses multiple challenges. Highly parallel distributed data architecture is one solution, but until recently it has been mostly limited to databases, not business intelligence (BI) application servers. In this report, application development and delivery (AD&D) pros working on BI initiatives will learn about the capabilities of distributed BI platforms mostly based on […]
In this report, Ponemon Institute is pleased to present the findings of Big Data Cybersecurity Analytics, sponsored by Cloudera.
While at Hadoop Summit 2016, I had the opportunity to catch up with Justin Kestelyn, Technical Evangelism & Developer Relations at Cloudera, to discuss all the progress his company has made in the past year and what’s in store for the future.
In almost every organization, SQL is at the heart of enterprise data used in transactional systems, data warehouses, columnar databases and analytics platforms to name just a few examples. Additionally, a vast number of commercial and in-house developed tools used to access, manipulate and visualize data rely on SQL. SQL is lifeblood of the modern transaction and decision support systems.
An organization’s readiness for Hadoop is not a single state held by a single entity. Corporations, government agencies, educational institutions, healthcare providers, and other types of organizations are complex in that they have multiple departments, lines of business, and teams for various business and technology functions. Each function can be at a different state of readiness for Hadoop, and each function can affect the success or failure of Hadoop programs.
Presto addresses a real need for a portable SQL on Hadoop tool. It is architected from the ground up for high performance interactive query processing. Open source is a fount of continual innovation, especially with regard to big data. In addition, there are strong tools that come with specific Hadoop distributions. The fact is that organizations will deploy multiple tools. For organizations moving toward a Unified Data Architecture, the rationale for adopting Presto is even stronger.
A White paper by Philip Howard, Bloor Research International Ltd on critical considerations for Hadoop deployments and the role of appliances.
This paper reviews the increasingly popular OpenStack cloud platform and the abilities that IBM storage solutions provide to enable and enhance OpenStack deployments. But before addressing those specifics, it is useful to remind ourselves of the “whys and wherefores” of cloud computing.
In their efforts to extract value from big data, organizations around the world are turning to the Hadoop big data collection, management and analysis platform. Hadoop offers two important services: store any kind of data from any source, inexpensively and at very large scale, and perform sophisticated analysis of that data easily and quickly. To learn more about Hadoop and big data download this white paper.