Embedding an iframe is a great option to embed content because of its security and performance features, but it can be tricky to get the right fit. Especially when we interact with them, or the user changes the browser viewport. Some of the most common issues include an additional or missing scroll bar or the modal windows opening inside the iframe without showing the center of the current viewport.
Sharing and exchanging data with other organizations is a critical element of any organization’s analytics strategy. In fact, BigQuery customers are already sharing data using our existing infrastructure, with over 4,500 customers swapping data across organizational boundaries. Creating seamless access to analytics workflows and insights has become that much easier with the introduction of Analytics Hub and surfacing datasets unique to Google.
Data engineers spend almost half their time maintaining data pipelines. The total average cost? $520,000 per year, according to new research.
Dashboards showing ever-increasing levels of information are more and more in demand, but perhaps less and less understood. In particular, application teams selling products are pushed by their customers to include “high-level overviews” and “real-time information” in their software. But do they use that information? How often? And what for? Sometimes a dashboard is a critical piece of software enabling near-instantaneous responses to extinction-level business catastrophes.
A lot can happen in 18 months. In a startup, that’s even more true. Here at ThoughtSpot, where we’re known for innovation at a breakneck pace, that feels like a lifetime.
Sometimes it takes a billion-dollar mistake to bring the murkier side of data ethics into sharp focus. Equifax found this out to their own cost in 2017 when they failed to protect the data of almost 150 million users globally. The catastrophic breach was bad enough on its own — but Equifax waited three months to go public with the news. As the public furore rose to a crescendo, the credit organization dragged its feet on disclosing exactly what kind of information had been leaked.
Apache Spark has become a popular platform as it can serve all of data engineering, data exploration, and machine learning use cases. However, Spark still requires the on-premises way of managing clusters and tuning infrastructure for each job.