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AWS and Microsoft Announce Gluon, Making Deep Learning Accessible to All Developers

By   /  October 17, 2017  /  Data Daily | Data News, Data Education, Education Resources For Use & Management of Data, Smart Data News, Smart Data News, Articles, & Education  /  No Comments

by Angela Guess According to a recent press release, “Today, Amazon Web Services Inc., an Amazon.com company, and Microsoft Corp. announced a new deep learning library, called Gluon, that allows developers of all skill levels to prototype, build, train and deploy sophisticated machine learning models for the cloud, devices at the edge and mobile apps. […]

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Pepperdata Code Analyzer for Apache Spark Highlights Performance Bottlenecks for Developers

By   /  May 24, 2017  /  Big Data News, Big Data News, Articles, & Education, Data Daily | Data News, Data Education, Education Resources For Use & Management of Data, Enterprise Information Management, Information Management News  /  No Comments

by Angela Guess According to a new press release, “Pepperdata, the DevOps for Big Data company, today announced Pepperdata Code Analyzer for Apache Spark, which provides Spark application developers the ability to identify performance issues and connect them to particular blocks of code within an application. Code Analyzer is a new product that follows on […]

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Tech Jobs Rule in the Best Jobs of 2017, According to New Data from Indeed

By   /  March 23, 2017  /  BI / Data Science News, BI / Data Science News, Articles, & Education, Data Daily | Data News, Data Education, Education Resources For Use & Management of Data  /  No Comments

by Angela Guess A recent press release states, “Indeed, the world’s number one job site, debuted today the best jobs of 2017, and all but a few jobs are technical roles. Seven of the top ten jobs are software engineers and developers, with positions in management, healthcare and engineering rounding out the top 25 list. […]

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Debugging Complex SQL Queries

By   /  January 25, 2017  /  Data Blogs | Information From Enterprise Leaders, Data Education, Data Modeling Blogs, Data Modeling News, Articles, & Education, Database Blogs, Database News, Articles, & Education  /  3 Comments

Click to learn more about author Michael Blaha. We favor the offloading of application logic to SQL queries. Developers can save time, effort, and reduce mistakes by substituting SQL for programming code. This leads to lengthy and complex SQL that must be debugged. It is common to write a SQL query that initially fails to execute. […]

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Role of Containers in the Enterprise Data Center

By   /  October 3, 2016  /  Data Blogs | Information From Enterprise Leaders, Data Education, Data Governance & Data Quality | News & Articles, Data Governance Blogs, Enterprise Information Management, Information Management Blogs  /  1 Comment

Click to learn more about author Sushil Kumar. The core value of the use of containers lies in the fact that it enables an application-centric computing paradigm by unshackling applications from the underlying infrastructure. Containers should now be seen as something more than a tool to make developers more agile and productive. Container Hype and Confusion […]

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Grading Database Quality, Part 1: Database Designs

By   /  July 8, 2016  /  Data Blogs | Information From Enterprise Leaders, Data Education, Data Governance & Data Quality | News & Articles, Data Governance Blogs, Data Modeling Blogs, Data Modeling News, Articles, & Education, Data Strategy Blogs, Data Strategy News, Articles, & Education, Enterprise Information Management, Information Management Blogs  /  No Comments

While working on database projects, we often find ourselves doing reverse engineering. Reverse engineering is the inverse to normal development. Developers start with an application and work backwards to understand the software and infer its intent. Reverse engineering can apply to a variety of artifacts, such as hardware, programming code, and databases. Our focus here […]

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Ten Reasons Why Developers Ignore Data Models — Revisited

By   /  April 11, 2016  /  Data Blogs | Information From Enterprise Leaders, Data Education, Data Modeling Blogs, Data Modeling News, Articles, & Education  /  No Comments

Click here to learn more about author Michael Blaha. Here is a follow- up on my blog from several months ago on “Ten Reasons Why Developers Ignore Data Models.” Paraphrasing, reader Lawrence Hecht asked via Twitter if there is any way to tell from a schema if the developers had used a data model. A […]

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A Guide to Python and R: When to Use Which for What

By   /  April 11, 2016  /  Data Daily | Data News, Data Education, Data Science News, Data Science News, Articles, & Education, Education Resources For Use & Management of Data  /  No Comments

by Angela Guess Roger Huang recently wrote in The Next Web, “At Springboard, we pair mentors with learners in data science. We often get questions about whether to use Python or R – and we’ve come to a conclusion thanks to insight from our community of mentors and learners. Data science is the sexiest job […]

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Ten Reasons Why Developers Ignore Data Models

By   /  November 30, 2015  /  Data Blogs | Information From Enterprise Leaders, Data Education, Data Governance & Data Quality | News & Articles, Data Governance Blogs, Data Modeling Blogs, Data Modeling News, Articles, & Education  /  No Comments

Learn more about Michael Blaha. Why do some developers think they can dive in and build a database application without first constructing data models? They are violating the whole premise of software engineering which is to think before acting. Data models provide a means for focusing the mind and is necessary for a systematic, repeatable […]

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The Internet of Things Developer War

By   /  April 15, 2015  /  Data Daily | Data News, Data Education, Smart Data News, Smart Data News, Articles, & Education  /  1 Comment

by Angela Guess Matt Asay recently wrote for ReadWrite, “Developers are the new kingmakers, and nowhere will this resonate more than in the growing Internet of Things market. In fact, the easiest way to pick winners in this emerging field is to look for Internet of Things companies with the biggest developer populations. The hitch, […]

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