Tag Archive for: SQL

Building Apps with an Intelligent Database Wizard


Data-driven solutions like database and enterprise apps rely on connection to, and interaction with, backend databases. Backend relational databases, however, store data in tables that reflect complex data relationships. This provides numerous advantages for effective data management and data integrity but can make it difficult to access and work with the data stored therein in new ways. App developers need to have a comprehensive understanding of database design principles and the SQL query language just to get started.

In contrast, real world data relationships most often represent parent-child relationships or even deeper hierarchical structure. As such, working with hierarchical data where relationships can be visualized in a tree structure can be much simpler and more flexible, leading to faster development. This approach is also more accessible to developers without extensive SQL expertise.

To make building apps that connect to the backend relational databases that are ubiquitous in today’s enterprise easier, faster, and available to a wider range of developers, Altova MobileTogether takes an entirely unique approach. Its visual Database Wizard lets developers easily build a query that returns hierarchical data, work with that data in the app, and then easily save the data back in hierarchical form, letting MobileTogether take care of normalizing the data and writing it back to the corresponding linked tables. Let’s take a look at how it works.

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XPath & XQuery Tutorial for SQL Pros (Video)


Prior to starting at Altova I had zero experience with both XPath and XQuery. The first task I was presented with was to train myself on both query languages as quickly as possible and produce a concise video that would serve as an XPath tutorial and XQuery tutorial. It was important to develop a thorough understanding of their features and capabilities because both languages are integral to app development in MobileTogether and querying data in XMLSpy. I started with a strong background in SQL, learning XPath and XQuery by building queries first in SQL, and then determining how to replicate them in both query languages.

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Using Google Cloud SQL


Google recently announced their next generation of managed MySQL offerings on Cloud SQL, so we wanted to take it for a spin and create a cloud-based SQL database that we could then utilize as the back-end for mobile apps, or even for advanced data analytics from our desktop.

According to Google, the two principal goals of the second generation of Cloud SQL were better performance and scalability per dollar. It seems that they succeeded in these goals: the second generation Cloud SQL is more than seven times faster than the first. And it scales to 10TB of data, 15,000 IOPS, and 104GB of RAM per instance — well beyond the first generation. So it looks like the ideal, scalable cloud-based database back-end for mobile apps.

Data n the cloud

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