Logz.io this week launched a Community COVID-19 Dashboard Project that seeks to provide software developers and data scientists a reliable source of data to assess the global impact of the pandemic. Dotan Horovits, product evangelist for Logz.io, said the goal is to help organizations make sense of often conflicting data by making it accessible using […]
DataOps and Beyond: How DevOps Methodology Transformed Our Approach to Data Science
The DevOps methodology has become synonymous with forward technical thinking–a workplace culture that reinforces best cultural practice and promotes more, better quality output by synchronizing the functions of development and operations teams. As a testament to its popularity, the term has expanded in reach to refer to a broader set of transformational software-related practices. The […]
Becoming a Data Company: Back to the Future
Transformations are complex, and it’s often difficult to see the big picture when you’re in the middle of one. The elegance of the end-state of harmonious synergy between software and data belie the complexity and chaos of the transition we find ourselves in the midst of. Not that long ago, there was a general balance […]
Becoming a Data Company: A Tale of Two Trends
Data is back, baby! Well, that seems like an odd statement. It never quite left. Nevertheless, Google’s recent acquisition of Looker and Salesforce’s acquisition of Tableau seems to highlight this mindset in magnified ways. With eyes set on new leaps in data science and artificial intelligence, it’s easy to understand how our views on data […]
How In-Memory Analytics is Solving Data Woes
The importance of data to business decisions and operations cannot be understated. On a daily basis, 2.5 quintillion bytes of data is generated. Managing that much data so the necessary intelligence is easily accessible or to make sure insights are not missed, can be incredibly challenging. Luckily, technology does exist that can help to significantly […]
3 Steps to Building Data Science Models
Have you ever considered supplementing your development skills with some data science? Expand your range and follow this quick tutorial on how to build your own predictive models using open datasets, Jupyter notebooks and Sequential models. Pick Your Data Game Your first step in learning data science is to find a dataset that fits your […]
GitHub Applies Data Science to Managing Code
Over the last several years GitHub has emerged as one of the primary repositories around which application development now revolves. At its recent GitHub Universe 2017 conference, the company revealed how it is extending that central role to provide DevOps teams with the addition of a dependency graph that can be employed to alert DevOps […]
4 Predictive Analytics Challenges Facing SRE Teams
“Predictive analytics” refers to the many techniques used to analyze data to make predictions about the future, such as data mining, statistics, modeling, machine learning and artificial intelligence. Being able to predict technical and business outcomes is one of the main promises of big data. Indeed, many businesses have invested heavily in infrastructure to anticipate […]
Data Science Industry Perspectives in the Cloud
In principle, the cloud is becoming a commodity. Google, Amazon and other companies are trying to commoditize almost everything, including the instruments for data gathering, data storage and data transformation. In the near term, we should expect that platform engineering, which today is overly complex, will become simpler. With data engineering, however, the prospects of […]
Useful Big Data Terminologies, Part 1
As data continues to increase at an evermore rapid pace, organizations struggle to deal with this data torrent, let alone use it to analyze and capture value. The ways used to understand this big data also is increasingly rapidly, which introduces myriad terms used to define these methods. The follow is an attempt to provide […]