Snowflake and Saturn Cloud are thrilled to announce our partnership to provide the fastest data science and machine learning (ML) platform. Snowflake’s Data Cloud comprises a global network where thousands of organizations mobilize data with near-unlimited scale, concurrency, and performance. Saturn Cloud’s platform provides lightning-fast data science. Combined, our solutions enable customers to maximize their ML and data science initiatives.

In the context of the software development lifecycle (SDLC), document review makes it easier for an organization to curate, govern, and manage the lifecycle of digital artifacts beyond source code. These include documentation, spreadsheets, presentations, image flies, system and architectural images, and other files related to software projects. It is a discipline often practiced in regulated industries, or where quality certification is a requirement.

We managed to get a 99/100 Performance Score with Google Lighthouse, check the details below how we did it. Read more on how to run a Google Lighthouse audit. First of all, you’ll need to install a list of WordPress plugins, activate and configure them. This will manage your JS, CSS assets and minify the HTML for all pages. JavaScript Options We’ve only ticked the two options here: CSS Options HTML Options Misc Options 2.

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.