EGUIDE:
Alteryx's senior vice-president for Asia-Pacific addresses some misconceptions about data analytics and what the company is doing to stake a bigger claim on the market.
EGUIDE:
This e-guide examines why the data warehousing appliance business case must trump traditional tools for business to address needs such as costs, flexibility and agility while eliminating key technology silos.
EGUIDE:
In this expert e-guide, you'll discover 10 best practices for implementing a fast new BI platform or improving your existing one. Then, learn the story of how Urban Airship Inc. developed an embedded analytics program of their own.
WHITE PAPER:
Find out how 9 different big data Hadoop solutions compare to one another, and learn about the various vendors and differentiated features of each option.
EBOOK:
Big data containers running in Kubernetes clusters are a new option for deploying Hadoop, Spark and other platforms. Read this handbook for insights into the potential benefits of putting big data systems in containers and offers advice on how to manage containerized environments.
EGUIDE:
Many businesses recognize Hadoop as a premier cloud app framework, but they still don't know how to deploy Hadoop properly or prepare for its pitfalls. In this e-guide, we identify and explore some of the biggest Hadoop challenges. Find out how to resolve these issues and unlock the benefits of big data analytics.
EGUIDE:
In this e-guide, experts explain various features and benefits of AWS such as on-demand, reserved and spot instances and which one will fit your needs. Inside, learn why Amazon's new Redshift data warehouse is creating a biz buzz among IT pros.
WHITE PAPER:
Companies are rushing to invest in big data analytics tools, but many forget about the underlying infrastructure that supports their big data efforts. In this informative white paper, learn why the right database management system (DBMS) could be the key to a successful big data analytics project.
EZINE:
In this expert e-zine, explore how big data management systems can pay big dividends for companies willing to break traditional business patterns and divert their data lakes into new revenue streams.
