Systems | Development | Analytics | API | Testing

In retrospect, 2020 was a year of unprecedented change. Noone could have foreseen what the last 12 months would bring. But in Europe and the Middle East, we’ve adapted to make the most of the situation, building solutions to help our customers keep their customers and staff safe and engaged. Here’s a recap of our top 10 moments from a year like no other.

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