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James Gosling is probably best known for creating the Java programming language while working at Sun Microsystems. Currently, he is the chief software architect at Liquid Robotics. Among other projects, Liquid Robotics makes the Wave Glider, an autonomous, environmentally powered marine robot. James has agreed to take a little time from the oceangoing robots and answer any questions you have. As usual, ask as many as you'd like, but please, one question per post.

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The intro for yesterday's video interview with Don Marti started out by saying, "Don Marti," says Wikipedia, "is a writer and advocate for free and open source software, writing for LinuxWorld and Linux Today." As we noted, Don has moved on since that description was written. In today's interview he starts by talking about some things venture capitalist Mary Meeker of Kleiner Perkins has said, notably that people only spend 6% of their media-intake time with print, but advertisers spend 23% of their budgets on print ads. To find out why this is, you might want to read a piece Don wrote titled Targeted Advertising Considered Harmful. Or you can just watch today's video -- and if you didn't catch Part One of our video conversation yesterday, you might want to check it out before watching Part 2.

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Abstract
This paper presents Polybase, a feature of SQL Server PDW V2 that allows users to manage and query data stored in a Hadoop
cluster using the standard SQL query language. Unlike other database systems that provide only a relational view over HDFSresident data through the use of an external table mechanism, Polybase employs a split query processing paradigm in which
SQL operators on HDFS-resident data are translated into MapReduce jobs by the PDW query optimizer and then executed on the Hadoop cluster. The paper describes the design and implementation of Polybase along with a thorough performance evaluation that explores the benefits of employing a split query processing paradigm for executing queries that involve both structured data in a relational DBMS and unstructured data in Hadoop. Our results demonstrate that while the use of a splitbased query execution paradigm can improve the performance of some queries by as much as 10X, one must employ a cost-based query optimizer that considers a broad set of factors when deciding whether or not it is advantageous to push a SQL operator to Hadoop. These factors include the selectivity factor of the predicate, the relative sizes of the two clusters, and whether or not their nodes are co-located. In addition, differences in the semantics of the Java and SQL languages must be carefully considered in order to avoid altering the expected results of a query.

Link to the paper

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This is a guest post written by Claude Johnson, a Lead Site Reliability Engineer at salesforce.com.

The following is an architectural overview of salesforce.com’s core platform and applications. Other systems such as Heroku's Dyno architecture or the subsystems of other products such as work.com and do.com are specifically not covered by this material, although database.com is. The idea is to share with the technology community some insight about how salesforce.com does what it does. Any mistakes or omissions are mine.

This is by no means comprehensive but if there is interest, the author would be happy to tackle other areas of how salesforce.com works. Salesforce.com is interested in being more open with the technology communities that we have not previously interacted with. Here’s to the start of “Opening the Kimono” about how we work.

Since 1999, salesforce.com has been singularly focused on building technologies for business that are delivered over the Internet, displacing traditional enterprise software. Our customers pay via monthly subscription to access our services anywhere, anytime through a web browser. We hope this exploration of the core salesforce.com architecture will be the first of many contributions to the community.

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Starting with templates, Android features can be added quickly with a single line of DSL code.

In the first installment of this two-part series on developing Android Apps with Scala and Scaloid, I explained how Scaloid simplifies and reduces the required Android code as much as possible while leveraging type safety. In this article, I explain how to utilize asynchronous task processing, the execution of methods from system services, and specific Scaloid classes and traits.

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Original author: 
Stack Exchange

Stack Exchange

This Q&A is part of a weekly series of posts highlighting common questions encountered by technophiles and answered by users at Stack Exchange, a free, community-powered network of 100+ Q&A sites.

Java developer Stijn Geukens is working with 10 developers, and nearly every dev has his own style. That's about to change, as the company may soon impose a standard code format upon all developers. They'll be using Eclipse to help facilitate the change. But is forcing consistency upon the team more trouble than it's worth? See the original question here.

How professional

ZeroOne answers (39 votes):

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