World Programming, a leading industrial analytics and data science platform provider, unveiled new features for data scientists and data science teams including those working within life sciences, pharmaceuticals, and financial services.
In this special technology white paper, From Development to Production Guide – Finding the Common Ground in 9 Steps, you’ll learn how managing a successful data science project requires time, effort, and a great deal of planning. Defining the problems to solve and planning the project’s scope is just the tip of the iceberg, as team members need to fully understand all aspects of a project in order to effectively contribute.
Informatica Fast Tracks Journey to the Cloud with Pay-As-You-Go Pricing for Informatica Cloud Services for Microsoft Azure
Informatica, a leading worldwide provider of data management solutions, announced the availability of hourly pricing for Informatica Cloud® Services for Microsoft Azure in the Azure Marketplace. Now available as a pay-as-you-go hourly pricing model, this solution is designed to help users of the Azure cloud platform and Microsoft Cortana Intelligence Suite jump-start cloud data integration and management projects.
In this contributed article, technology writer and blogger Kayla Matthews takes a high level view of big data by discussing how big data systems can help influence decision-making to reveal important insights. But it’s not always right. The algorithms and systems that big companies are using must be transparent enough that people can challenge decisions that have been made.
Hazelcast, a leading open source in-memory data grid (IMDG) with hundreds of thousands of installed clusters and over 17 million server starts per month, announced a new solution which integrates Hazelcast’s IMDG and Apache Spark – an open source data processing engine that enables data workers to efficiently execute streaming, machine learning or SQL workloads which require fast iterative access to data sets.
In this special guest feature, Gerard Scheitlin, Vice President of Security, Risk, and Assurance at Orion Health, makes the case that big healthcare players are storing big data in the cloud because the benefits of cloud infrastructures are significant and hard to ignore.
This is the second article in a series focusing on a technology that is rising in importance to enterprise use of big data – IoT Analytics, or the analytical component of the Internet-of-Things. In this segment, we’ll discuss the marriage of IoT analytics and the cloud. The cloud is enabling innovation and driving the adoption of many new and powerful technologies, and IoT is no exception. One characteristic of many IoT applications is they generate “too much data.” You don’t necessarily know the value of that data and the process tends to be very elastic.
1010data, Inc., offering the integrated platform that combines self-service data management and analytics at scale with ready-to-use data, announced the release of Version 10 of its platform. For companies requiring deep insights into their business and customers, Version 10 provides increased self-service and makes it even easier to load, analyze and visualize enterprise-class data, and to write queries, debug errors and deploy user-friendly applications with its entirely redesigned and optimized GUI interface.
Here’s a useful new book for data scientists looking to approach the field from a unique perspective that doesn’t include language heavyweights like R and Python. “Julia for Data Science,” by Zacharias Voulgaris, Ph.D. from Technics Publications, allows you to master the Julia language to solve business critical data science challenges. But why look to a relatively new language when you already have other commonly-used languages at your disposal?
Research Firm Advises Analytics Stakeholders and Security Professionals to Build Plans for Securing Hadoop-based Assets
Dataguise, a technology leader in secure business execution, announced inclusion in a report by Gartner titled, “Rethink and Extend Data Security Policies to Include Hadoop.” The report provides best practices for addressing data security concerns related to Apache Hadoop deployments and highlights several leading vendors in the category to support these endeavors.