Data scientists spend 60% of their time cleaning and preprocessing data, transforming this dirty data into crystallized insights. Dataframes, such as Pandas, provide exceptional tooling to address data wrangling tasks, yet Pandas themselves increasingly lack ease and speed as they [See the full post…]

In this Intel Chip Chat audio podcast with Allyson Klein: Prasanna Sundararajan, founder and CEO for rENIAC, Inc., joins Chip Chat to talk about using Intel FPGAs to accelerate demanding data-centric applications. rENIAC’s solutions leverage Intel FPGAs to help [See the full post…]

Organizations are saving 70%+ by switching from Oracle to MongoDB. When evaluating databases, it is helpful to consider the relative costs of each solution — not just the cost of the software, but also the hardware, development and deployment costs. [See the full post…]

There’s a lot of hype around unstructured data. However, a recent survey of 300 database administrators (DBAs) suggests that most organizations will continue to focus on managing structured data.

Learn more about what’s hype and what’s common practice when it [See the full post…]

Apache Cassandra is a NoSQL distributed database written in Java and designed for reliability and high scalability. Data nodes are spread across lots of commodity servers and even between datacenters. Information is kept in-memory for fast read and write response [See the full post…]

G&W Laboratories benefits from Oracle’s Learn Cloud solution to train and qualify their workforce to be FDA compliant.

See more posts from NTT DATA and other vendors from Oracle OpenWorld 2016 in San Francisco. [See the full post…]

The relational database has been the foundation of enterprise data management for over thirty years. But the way we build and run applications today, coupled with growth in data sources and user loads, are pushing relational databases beyond their limits. [See the full post…]