Thursday, July 14, 2016

MEAN Stack Gathers Momentum

 
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MEAN Stack Gathers Momentum
 
By the mid-2000s, a huge number of web apps were built upon the so-called LAMP stack.  LAMP applications utilize the Linux operating system, Apache web server  and MySQL database server, and implement application logic in PHP or another language starting with the letter “P,” such as Python or Perl.  But the LAMP stack is now essentially obsolete technology, and the MEAN stack provides a lot of productivity advantages, especially for modern highly-interactive web sites.  Yet, the MEAN stack is not without compromise.  Here’s why.
 
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Database Lifecycle Management Emerges to Unravel Ever-More Complex Data Sites
 
Organizations have directed a lot of attention recently to consolidation, automation, and cloud efforts in their data management environments. This will purportedly result in decreased demand for data managers and the need for fewer DBAs per groups of databases. However, the opposite seems to be occurring. In actuality, there is a growing need for more talent, as well as expertise to manage through growing complexity. A new survey, sponsored by Idera and conducted by Unisphere Research among more than 300 data executives, managers, and professionals finds that a more challenging data environment is arising due to a confluence of factors.
 
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New Trends in Database Administration
 
Database administration is undergoing some significant changes these days. The DBA, traditionally, is the technician responsible for ensuring the ongoing operational functionality and efficiency of an organization’s databases and the applications that access that data. But modern DBAs are relied upon to do far more than just stoke the fires to keep database systems performing.
 
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U-SQL and the Azure Data Lake
 
In keeping with Microsoft’s rapid fire product development trend of the last few years, the data lake is now on offer via Azure Data Late as a public preview. Going one step further than the competition, Microsoft has also introduced U-SQL, a SQL-variant that unifies the declarative power of SQL and the extensibility of C# to make writing custom processing of big data easy. It also unifies processing over all data – anything from fully structured to fully unstructured data – and across both local and remote SQL data sources.
 
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Choosing the Right Data Replication Software
 
Not all big data solutions are created equal. Patrick Smith, database administrator at EPX, found that out when EPX switched replication platforms. EPX was using another system for database availability. But after a database outage event, EPX turned to SharePlex for reliable replication of their critical databases to ensure high availability.
 
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