Systems | Development | Analytics | API | Testing

As the amount of big data generated every year grows exponentially, successful enterprises have ditched on-premise solutions for the cloud. Nowhere is this more apparent than in the world of big data analytics, where virtual environments offer more scope and scalability than in-house architecture. Data-driven companies crave cloud databases because of the copious amount of data they collect, process, share and analyze every single day.

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.

Financial products are no longer characterized by the steps of filling out a form, waiting for a credit decision and, if successful, watching the monthly payments leaving your account.

There is an explosion of data from a myriad of sources and an insatiable demand to consume it. Traditional manual ETL methods are too brittle to keep up. Leaving many a BI team struggling to provide meaningful business insights quickly.

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.

This blog is an attempt to help you understand DevOps and MLOps and their differences and similarities.

By connecting Freshdesk in Databox, you get access to 85 basic metrics, the ability to create custom ones in the Freshdesk Query Builder, and more.

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.

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.