Along with the functionality to make HTTP requests, Xplenty provides various Curl functions and advanced features that can be beneficial in certain use cases. This article covers the Curl functions and features in addition to providing a step-by-step demonstration.

Introduction Python is used extensively among Data Engineers and Data Scientists to solve all sorts of problems from ETL/ELT pipelines to building machine learning models. Apache HBase is an effective data storage system for many workflows but accessing this data specifically through Python can be a struggle. For data professionals that want to make use of data stored in HBase the recent upstream project “hbase-connectors” can be used with PySpark for basic operations.

How large is your Hadoop data lake? 500 terabytes? A petabyte? Even more? And it is certainly growing, bit by bit, day after day. What began as inexpensive big data infrastructure now demands ever more expenditures on storage and servers while becoming increasingly unwieldy and expensive to manage. Such rapacity makes it ever harder to realize a proper return on investment from that Hadoop infrastructure.

On December 8th, it was time for the annual “State of the Union” from Qlik, with regards to BI & Data Trends. Overwhelmingly, attendance was in the many thousands, and we received thousands of questions. To get that type of engagement in a year where people have done nothing but virtual conferences is amazing. One person put it to me like this: “I just joined in on your webinar on the top data and analytics trends and it was truly fantastic.

The problem with modern analytics is that it overpromises and underdelivers. We can even quantify the disappointment: This begs the question: why even bother with analytics? Well, when analytics is done right, it pays back $13.01 for every dollar spent. In fact, data-driven companies outperform their competitors in almost every conceivable way. We have broached the topic of extracting value from data before, from how to set up the right data strategy to building a data-driven culture.

In 2020, the acceleration of digital transformation quickly emerged as a top priority for many organizations as they grappled with the business impacts of an unexpected pandemic and raced to adapt to a new reality. As businesses begin to pivot out of the shadows of COVID-19 in 2021, what will this new reality look like? What new technology trends will emerge? Our executives shared their personal predictions for the year ahead: 1. The End User Era: Architects Will Rise in IT Purchase Power

In this special edition of Need to Node, you can find the top 10 highlights in Node.js in 2020! Need to Node is a weekly bulletin designed to keep you up-to-date with the latest news on the Node.js project, events and articles. You are always welcome to collaborate and participate. Please let us know if we missed a piece of content you think should be included!

Apps are essentially technology products—products that aim to solve a problem for users. Design is a salient feature in all apps; it is how users understand, interact, and use a product. The less intuitive an app is in terms of design, the harder it is for its target audience to learn to use it. Poor design ultimately costs products their user-base. No one will return to an app that is hard to use, nor recommend an app that is difficult to understand and learn.

It’s a new year and what better way to start working from home for the 10th month of the pandemic than with a Slack outage. For more than 3 hours on Monday 4th January, Slack users were left to fend for themselves with the use of none other than emails! to communicate with their teams – a notion that was surely lost by the 2010’s.