No Apache Ambari videos yet. You could help us improve this page by suggesting one.
Based on our record, JSON seems to be a lot more popular than Apache Ambari. While we know about 13 links to JSON, we've tracked only 1 mention of Apache Ambari. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Ambari, A web-based tool for provisioning, managing, and monitoring Apache Hadoop clusters which includes support for Hadoop HDFS, Hadoop MapReduce, Hive, HCatalog, HBase, ZooKeeper, Oozie, Pig and Sqoop. Ambari also provides a dashboard for viewing cluster health such as heatmaps and ability to view MapReduce, Pig and Hive applications visually along with features to diagnose their performance characteristics in... - Source: dev.to / over 1 year ago
The YAML 0.1 spec was sent to a public user group in May 2001. JSON was named in a State Software internal discussion. State Software was founded in March 2001. json.org was launched in 2002. Therefore you’re just wrong: YAML came out before JSON. Source: about 1 year ago
How come that doesn't apply to other libraries? For example, when I write Java or Node.js programs, I don't need to make sure packages like json.org or express.js have a 32bit or 64bit environment. What makes windows libs different than NPM libs? Source: almost 2 years ago
The first two sentences of the text on http://json.org are "JSON (JavaScript Object Notation) is a lightweight data-interchange format. It is easy for humans to read and write." It's a primary goal of JSON, it's fair to question whether it's successful at it. Personally, I'd much rather write TOML or S expressions. I don't like YAML at all, the whitespace sensitivity drives me nuts. - Source: Hacker News / almost 2 years ago
To help you make the transition, we’ve written a tutorial on how to write an MCAP writer in Python to record JSON data to an MCAP file. Source: almost 2 years ago
What you need to probably do is to step back and learn the format for JSON, and the core data structures that you will find in most languages:. Source: almost 2 years ago
Apache Pig - Pig is a high-level platform for creating MapReduce programs used with Hadoop.
Microsoft Office Access - Access is now much more than a way to create desktop databases. It’s an easy-to-use tool for quickly creating browser-based database applications.
Apache HBase - Apache HBase – Apache HBase™ Home
LibreOffice - Base - Base, database, database frontend, LibreOffice, ODF, Open Standards, SQL, ODBC
Apache Avro - Apache Avro is a comprehensive data serialization system and acting as a source of data exchanger service for Apache Hadoop.
Brilliant Database - Create a personal or business desktop database fast and easily using this simple all-in-one database software. Free 30 day trial.