Data Engineer vs. Software Engineer: What is the Difference?
The four key things to know about the difference between a data engineer and a software engineer are...
Analytics
The 9 Differences Between a Data Lake and a Data Warehouse
You will have to consider multiple solutions and their tradeoffs when setting up your enterprise data architecture. In this article, we contrast a data lake and a data warehouse side-by-side to make your choice easier.
The Journey to Processing PII in the Data Cloud
During the process of turning data into insights, the most compelling data often comes with an added responsibility—the need to protect the people whose lives are caught up in that data. Plenty of data sets include sensitive information, and it’s the duty of every organization, down to each individual, to ensure that sensitive information is handled appropriately.
Troubleshooting Cloud Services and Infrastructure with Log Analytics
Troubleshooting cloud services and infrastructure is an ongoing challenge for organizations of all sizes. As organizations adopt more cloud services and their cloud environments grow more complex, they naturally produce more telemetry data – including application, system and security logs that document all types of events. All cloud services and infrastructure components generate their own, distinct logs.
Monitoring in BigQuery
Want to ensure that your BigQuery environment stays cost effective and secure? In this episode of BigQuery Spotlight, we’ll examine how monitoring your data warehouse can optimize costs, help you pinpoint which queries need to be optimized, and audit both data-sharing and access. Watch to learn how BigQuery gives you the flexibility to export any of these data sources back into your data warehouse for custom reporting.
How Renault solved scaling and cost challenges on its Industrial Data platform using BigQuery and Dataflow
French multinational automotive manufacturer Renault Group has been investing in Industry 4.0 since the early days. A primary objective of this transformation has been to leverage manufacturing and industrial equipment data through a robust and scalable platform. Renault designed an industrial data acquisition layer and connected it to Google Cloud, using optimized big data products and services that together form Renault's Industrial Data Platform.
Apache Ozone Powers Data Science in CDP Private Cloud
Apache Ozone is a scalable distributed object store that can efficiently manage billions of small and large files. Ozone natively provides Amazon S3 and Hadoop Filesystem compatible endpoints in addition to its own native object store API endpoint and is designed to work seamlessly with enterprise scale data warehousing, machine learning and streaming workloads. The object store is readily available alongside HDFS in CDP (Cloudera Data Platform) Private Cloud Base 7.1.3+.
BigQuery Admin reference guide: Monitoring
Last week, we shared information on BigQuery APIs and how to use them, along with another blog on workload management best practices. This blog focuses on effectively monitoring BigQuery usage and related metrics to operationalize workload management we discussed so far.
How To Create Accessible Data | Rise Of The Data Cloud
In this episode of Rise Of The Data Cloud , Zach Sippl, Senior Director of Data and Business Intelligence at Chipotle, discusses the evolution of the restaurant industry throughout the pandemic, how to create accessible data, the secrets to successful leadership, and much more.
What's new in CDP Public Cloud? Cloudera DataFlow on Public Cloud
Join us LIVE to discuss what’s new in CDP Public Cloud! Don’t miss the live Q&A as we learn about Natural Language Processing on Data Viz and the recently released Cloudera DataFlow on Public Cloud.