What wasting data engineering talent really costs you
Data engineers spend almost half their time maintaining data pipelines. The total average cost? $520,000 per year, according to new research.
Data engineers spend almost half their time maintaining data pipelines. The total average cost? $520,000 per year, according to new research.
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.
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.
Extract, load and transform, or ELT, is a data integration process that moves data directly from source to destination for analysts to transform as needed.
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.
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.
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.