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Why do we need DataOps Observability?

DevOps was started more than a decade ago as a movement, not a product or solution category. DevOps offered us a way of collaborating between development and operations teams, using automation and optimization practices to continually accelerate the release of code, measure everything, lower costs, and improve the quality of application delivery to meet customer needs.

Talend in 2023: Customer-focused, customer-forward

Prepping for a sales kick-off puts the focus on an organization’s customers unlike any other event. There is no selling — or success — without understanding and fulfilling the needs of our prospects and customers. As our gathering in Nashville last month proved, Talend is laser-focused on meeting customers wherever they are in their data journey, with everything they need to solve their most pressing data management challenges.

Data Talks Helps Sports Brands Score More Sales with Snowflake's Data Cloud

Data Talks fills a gap in the sports market by giving brands the data they need to truly understand their customers. But when your platform is responsible for continued ticket, merchandise, and sponsorship revenue, it needs to deliver insights fast. Here’s how Data Talks delivers data quickly with a rapid insights platform powered by Snowflake. From football fans filling out stadiums to baseball followers streaming every game, few customers are as avid and loyal as sports fans.

Maximize Business Results with FinOps

As organizations run more data applications and pipelines in the cloud, they look for ways to avoid the hidden costs of cloud adoption and migration. Teams seek to maximize business results through cost visibility, forecast accuracy, and financial predictability. Watch the breakout session video from Data Teams Summit and see how organizations apply agile and lean principles using the FinOps framework to boost efficiency, productivity, and innovation. Transcript available below.

Enabling Strong Engineering Practices at Maersk

As DataOps moves along the maturity curve, many organizations are deciphering how to best balance the success of running critical jobs with optimized time and cost governance. Watch the fireside chat from Data Teams Summit where Mark Sear, Head of Data Platform Optimization for Maersk, shares how his team is driving towards enabling strong engineering practices, design tenets, and culture at one of the largest shipping and logistics companies in the world.

Spark Technical Debt Deep Dive

Once in a while I stumble upon Spark code that looks like it has been written by a Java developer and it never fails to make me wince because it is a missed opportunity to write elegant and efficient code: it is verbose, difficult to read, and full of distributed processing anti-patterns. One such occurrence happened a few weeks ago when one of my colleagues was trying to make some churn analysis code downloaded from GitHub work.

How Retailers Modernize Operations and Reporting with the Snowflake Retail Data Cloud

A modern data infrastructure is essential for retailers looking to stay competitive today. Companies are abandoning more traditional, on-premises IT infrastructures and moving to more centralized “as a service” (XaaS) models of delivery enabled by cloud technologies, according to McKinsey. Aging on-premises infrastructures are unable to meet demands for agility and innovation, eating up too much time and too many resources for teams trying to maintain them.

How Banks are Using Technologies to Help Underserved Communities

Financial inclusion, defined as the availability and accessibility of financial services to underserved communities, is a critical issue facing the banking industry today. According to the World Bank, 1.7 billion adults around the world do not have access to formal financial services, meaning that they cannot open a bank account or access credit, insurance, or other financial products.

Building Custom ITSM Dashboards for BMC Remedy

The importance of timely and accurate IT insights is increasing rapidly in the modern era. Organizations often desire a customizable solution to meet the specific needs of their business best and increasingly want to mix data from multiple sources and match data to sales, HR, asset management and other sources in order to better understand root causes and drive better decision-making. To do so, they need a solution that is able to be flexibly tailored for all use cases.

Effective Business Intelligence Application Testing Techniques

Software testing techniques help us ensure that our software meets all the requirements. The goal of testing techniques is to find out missing requirements, gaps, and errors in comparison to the actual requirements. Finding the right testing technique can be a little challenging. These techniques help us to identify test conditions. Note that there are multiple types of testing. One example is the black box testing technique. In this process, developers test their applications through different inputs.