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Modern Data Architecture with Data Lake Using Talend

Data lakes: smooth sailing or choppy waters? In May, Talend announced its support for Databricks’ open source Delta Lake, “a storage layer that sits on top of data lakes to ensure reliable data sources for machine learning and other data science-driven pursuits.” What does this mean for your company, and is Delta Lake right for you?

How to mitigate data risk in your organization

Data in organizations has become a significant risk issue. In recent years, new risks have emerged that have led many organizations to centralize their data and seek out new ways to mitigate their data risks through tighter data governance. Regulatory change, like the General Data Protection Regulation (GDPR) in Europe and the California Consumer Privacy Act (CCPA) in the US, have focused on data privacy.

Updates from Bugfender Q2, 2019

Welcome to the Bugfender summer newsletter. Over the past few months you may noticed a few improvements to Bugfender’s web app, if not, we’ve summarised them here and you should go and check them out. The machine learning algorithm, which solves problems without requiring detailed instructions, is one of the most exciting technologies on the planet.

One Year After GDPR: Three Common Mistakes Businesses Still Make

May 25, 2019 marked the one-year anniversary of the European Union’s (EU) General Data Protection Regulation (GDPR) coming into full effect. This milestone serves as a timely reminder for any business in the EU or doing business with EU residents on both the implications of failing to protect data and the procedures needed to prevent this from happening.

The 3 things you need to create a data culture

I love data. I live it, I breathe it and I get excited about it. Recently, I started thinking about what creates a data culture when I read the Big Data and AI Executive Survey 2019. It said that 72% of respondents were yet to forge a data culture. While every business uses data in some form, they don’t all use it to truly understand the dynamics of their business and make strategic decisions.

Reactive X: RxJava Data Flows: Observable, Flowable, Single, Maybe and Completable

Reactive programming is a programming technique for asynchronous applications that lets you structure your code based on “reaction” to data input changes instead of an imperative programming style where you have to poll or block and wait for changes to happen. If you’re not 100% familiar with ReactiveX (RxJava being the implementation for the JVM), perhaps you know Java Stream, which is a similar concept introduced in Java 8.

How Dutch telco KPN is making new connections with APIs

Editor's note: Today’s post is by Anuschka Diderich, Platform Lead at KPN, a 130-year-old Dutch landline and mobile telecommunications services company. Read on to learn how KPN is connecting people using API-powered products and services. “I’ll connect you.” Those were the first words uttered over the line in 1881, when the first public telephone network in the Netherlands started operating.