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Create your Private Data Warehousing Environment Using Azure Kubernetes Service

For Cloudera ensuring data security is critical because we have large customers in highly regulated industries like financial services and healthcare, where security is paramount. Also, for other industries like retail, telecom or public sector that deal with large amounts of customer data and operate multi-tenant environments, sometimes with end users who are outside of their company, securing all the data may be a very time intensive process.

How to manage your GraphQL APIs with Apigee

Over the past two decades REST APIs have emerged as a lightweight and flexible standard for enterprise data and backends get exposed to external, partner, and internal applications. Google Cloud’s Apigee is a leader in API Management, allowing users to manage REST APIs — define rate limits, enforce authentication and authorization, block clients that attempt to misuse an API, and ensure APIs work seamlessly as they are updated.

How to Use CSV Data Set to Configure JMeter Tests

Apache JMeter is a Java-based, open source testing tool, which can help you create and run functional and load tests for Websites, APIs (REST and SOAP) and other web services. In this example we are going to have a look on how to create and run a JMeter test using a CSV file for our data, and consume the data in our test from that CSV file. First, let’s open JMeter and create a new JMeter test script. Add a Thread Group Inside the Thread Group add the following.

PHP Profiling: Find Slow Code in Your Application

Over the course of two decades, a lot of data has been made available online in order to fully realise PHP's potential. It is one of the most widely used programming languages, and some consider it to be one of the easiest to learn. Even the most advanced languages require some assistance. Many PHP tools available in its vast ecosystem can be of assistance. The most valuable tool is a PHP profiler. In general, profilers are beneficial to all levels of developers.

Easier administration and management of BigQuery with Resource Charts and Slot Estimator

As customers grow their analytical workloads and footprint on BigQuery, their monitoring and management requirements evolve - they want to be able to manage their environments at scale, take action in context. They also desire capacity management capabilities to optimize their BigQuery environments. With our BigQuery Administrator Hub capabilities, customers can now better manage BigQuery at scale.