#Ad-Hoc Database Queries plugin

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Sneak Under The SQL Hood Of Moodle With This Presentation

Sneak Under The SQL Hood Of #Moodle With This Presentation #MoodleNews #edtech

For developers, getting acquainted with the relational model that characterizes the information architecture of Moodle is a basic skill. But for the rest of us, getting to know how Moodle functions underneath can offer us some insight or welcome intellectual challenge. Previously we have reviewed the work of Moodler Marcus Green, who showed us a bird’s-eye view of the tables and connections that…

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BQY

Learn about .BQY files and view a list of programs that open them. Within Interactive Reports, a report is stored as a BQY file that defines the format and structure. These sample BQY files are provided: Scorecard.bqy. Opening a BQY File. ... The BQY file type is primarily associated with BrioQuery by Oracle. BrioQuery is an ad hoc query and reporting application for client/server database environments.

BQY is a file format used by Brio Insight, an Internet Explorer plugin for business ntelligence software. BQY files store server queries used for generating reports. BQY extension is associated with Brioquery Database File. Choose a free software from the list to view or edit BQY files.

A .bqy file is a "Brio Query" file. It is also known as an "Interactive Reporting Web Client" file. A .bqy file is a saved Interactive reporting document (i.e. a query), ...

BlackRock S&P Quality Rankings Global Equity Managed Trust(BQY) either stopped trading, was acquired or changed ticker symbols. You can still view ...

BQY Terrain RC Car,Remote Car High with Adult Fuel Remote Control Car Model 29cc Single Cylinder/Four Fixed Gasoline Engine 2.4Ghz Radio 4WD（ ...

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December 18, 2019 at 10:00PM - The Ultimate Data Infrastructure Architect Bundle (94% discount) Ashraf

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Learn how to use ElasticSearch in combination with the rest of the Elastic Stack to ship, parse, store, and analyze logs! You’ll start by getting an understanding of what ElasticSearch is, what it’s used for, and why it’s important before being introduced to the new features of Elastic Search 5.0.

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Build, test, & run your first LogStash pipeline to analyze Apache web logs

Apache Spark is one of the most widely-used large-scale data processing engines and runs at extremely high speeds. It’s a framework that has tools that are equally useful for app developers and data scientists. This book starts with the fundamentals of Spark 2 and covers the core data processing framework and API, installation, and application development setup.

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Amazon Web Services (AWS) provides trusted, cloud-based solutions to help businesses meet all of their needs. Running solutions in the AWS Cloud can help you (or your company) get applications up and running faster while providing the security needed to meet your compliance requirements. This course leaves no stone unturned in getting you up to speed with administering AWS.

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Hadoop emerged in response to the proliferation of masses and masses of data collected by organizations, offering a strong solution to store, process, and analyze what has commonly become known as Big Data. It comprises a comprehensive stack of components designed to enable these tasks on a distributed scale, across multiple servers and thousand of machines. In this course, you’ll learn Hadoop 2, introducing yourself to the powerful system synonymous with Big Data.

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ElasticSearch is a Lucene-based distributed search server that allows users to index and search unstructured content with petabytes of data. Through this ebook, you’ll be guided through comprehensive recipes covering what’s new in ElasticSearch 5.x as you create complex queries and analytics. By the end, you’ll have an in-depth knowledge of how to implement the ElasticSearch architecture and be able to manage data efficiently and effectively.

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Perform index mapping, aggregation, & scripting

Explore the modules of Cluster & Node monitoring

Understand how to install Kibana to monitor a cluster & extend Kibana for plugins

Integrate your Java, Scala, Python, & Big Data apps w/ ElasticSearch

Compared to Hadoop, Spark is a significantly more simple way to process Big Data at speed. It is increasing in popularity with data analysts and engineers everywhere, and in this course you’ll learn how to use Spark with minimum fuss. Starting with the fundamentals, this ebook will help you take your Big Data analytical skills to the next level.

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Get to grips w/ some simple APIs before investigating machine learning & graph processing

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MongoDB is a high-performance, feature-rich, NoSQL database that forms the backbone of the systems that power many organizations. Packed with easy-to-use features that have become essential for a variety of software professionals, MongoDB is a vital technology to learn for any aspiring data scientist or systems engineer. This cookbook contains many solutions to the everyday challenges of MongoDB, as well as guidance on effective techniques to extend your skills and capabilities.

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Initialize the server in three different modes w/ various configurations

Get introduced to programming language drivers in Java & Python

Learn advanced query operations, monitoring, & backup using MMS

Find recipes on cloud deployment, including how to work w/ Docker containers along MongoDB

Apache Kafka is simple describe at a high level bust has an immense amount of technical detail when you dig deeper. This step-by-step, practical guide will help you take advantage of the power of Kafka to handle hundreds of megabytes of messages per second from multiple clients.

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Set up Kafka clusters

Understand basic blocks like producer, broker, & consumer blocks

Explore additional settings & configuration changes to achieve more complex goals

Learn how Kafka is designed internally & what configurations make it most effective

Discover how Kafka works w/ other tools like Hadoop, Storm, & more

Apache Flume is a distributed, reliable, and available service used to efficiently collect, aggregate, and move large amounts of log data. It’s used to stream logs from application servers to HDFS for ad hoc analysis. This ebook start with an architectural overview of Flume and its logical components, and pulls everything together into a real-world, end-to-end use case encompassing simple and advanced features.

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Explore channels, sinks, & sink processors

Learn about sources & channels

Construct a series of Flume agents to dynamically transport your stream data & logs from your systems into Hadoop

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