Category: MongoDB

Feed: Puppet.com Blog RSS Feed. Author: ; Indeed uses puppet in testing, integration, staging and production environments. Puppet has enabled Indeed Operations to scale to hundreds of servers across multiple datacenters with differing infrastructure while maintaining configuration consistency in testing, integration, staging and production environments. Our new Vice President of Marketing, Scott Johnston, was recently poking around on Indeed.com and discovered the trend feature. He did a quick search: In an email to all, our CEO proclaimed: "Pretty sweet." What can only be described as a the virtual equivalent of the Ninja Turtles signature jumping group high five quickly followed ... Read More

Feed: DivvyCloud. Author: Anna Mulamba; Someone forgot to close the figurative “door.” A third-party vendor affiliated with CenturyLink misconfigured a MongoDB database leaving it open and accessible to the public for about 10 months.  CenturyLink, a Fortune 500 technology company, was alerted by a security research firm that approximately 2.8 million records were left unprotected and vulnerable to potential misuse. Included in the affected database were API logs containing multiple pieces of personally identifiable information (PII), including names, email addresses, phone numbers, and addresses, along with account-specific information. While CenturyLink has stated that they found no evidence that its records ... Read More

Feed: CronJ. Author: Ayush Goel; As discussed in my last blog, there are 2 types of databases SQL and NoSQL. So in this blog, we will be looking at one type of NoSQL database that is MongoDB. MongoDB is an example of a document-type database, which means it stores data in JSON-like documents. One of the biggest reasons for its popularity is the data model used is a highly elastic one that allows us to combine and store data of multivariate types. MongoDB Architecture Let’s first discuss the architecture of MongoDB. A typical MongoDB architecture has 3 parts-  Database: A database ... Read More

Feed: CronJ. Author: Vignesh M; AI is been in our imagination for the last 40 50 years.In fact, from all the way from 2001 Space Odyssey to even like Ex Machina, there’s been a lot of movies about our fascination with AI.Unfortunately, that’s been a very negative twist around AI because ultimately all those movies are about the machines turning on humans and ultimately killing them. So I would like to offer a more optimistic outlook about AI. But it’s clear that this is something that’s really caught our imagination.The other thing that was clear was that this is all ... Read More

Feed: DivvyCloud. Author: David Mundy; by David Mundy | Jul 30, 2019 | Amazon Web Services, Blog Post, Security Capital One Data Breach Impacts 100 Million Customers In yet another cloud misconfiguration involving AWS S3 Buckets, Capital One joins Facebook as another major enterprise to expose the data of over 100 million users. What happened? It would appear that Capital one... by David Mundy | Jul 29, 2019 | Blog Post, Product Information, Security DivvyCloud Listed in CRN's 2019 Emerging Vendors List We are honored to announce that DivvyCloud was included on CRN’s 2019 list of “Emerging IT Vendors You Need ... Read More

Feed: DivvyCloud. Author: David Mundy; by David Mundy | Jun 7, 2019 | Blog Post, Security JCrush Joins the Database Leak Club Last week, TechCrunch reported security researchers at vpnMentor discovered that JCrush, a dating app designed for the Jewish community, left a MongoDB database containing 18.454 GB of unencrypted records unprotected and publicly... by David Mundy | Jun 5, 2019 | Amazon Web Services, Blog Post, Compliance, Containers, Google Cloud Platform, Governance, Microsoft Azure, Product Information, Security DivvyCloud is a way to deploy policy, minimize blast radius, and give developers the freedom to operate within the guide rails of ... Read More

Feed: Cloud Data Transformation Software | Matillion. Author: Laura Malins, ETL Product Manager; Laura Malins, ETL Product ManagerAt their recent summit, Snowflake announced support for External Tables. This represents an advancement in data storage as users can now store, query and manage data both in their Snowflake data warehouse and out in object cloud storage. External Tables allow Snowflake users to query data across their Snowflake cloud data warehouse and data in external storage objects, bringing users closer to their data, in a performant and cost efficient manner. We are happy to announce that External Tables are fully supported in ... Read More

Feed: DivvyCloud. Author: David Mundy; by David Mundy | Jun 5, 2019 | Amazon Web Services, Blog Post, Compliance, Containers, Google Cloud Platform, Governance, Microsoft Azure, Product Information, Security DivvyCloud is a way to deploy policy, minimize blast radius, and give developers the freedom to operate within the guide rails of safety. Feature Release 19.2 Introducing Compliance Scorecard, Threat Detection, IaC Protection, and Enhanced IAM Protection   We are... by David Mundy | Jun 5, 2019 | Product Information, Security DivvyCloud Wins 2019 Fortress Cyber Security Award for Private & Public Cloud The Business Intelligence Group today announced that DivvyCloud ... Read More

Feed: Cloud Data Transformation Software | Matillion. Author: Laura Malins, ETL Product Manager; Laura Malins, ETL Product ManagerData in a MongoDB database can have many nested elements, including both arrays and structs. Some of the top-level objects can be flattened via the MongoDB component, but this still leaves many nested arrays in the data. Here we look at how to flatten out this data in a Transformation job using Snowflake’s JSON handling functionality.Data formatAn example of the format is below. Here the many nested arrays and structs can be seen.Snowflake has native functionality for handling the nested JSON using the ... Read More

Feed: Cloud Data Transformation Software | Matillion. Author: Laura Malins, ETL Product Manager; Laura Malins, ETL Product ManagerData in a MongoDB database can have many nested elements, including both arrays and structs. Some of the top-level objects can be flattened via the MongoDB component, but this still leaves many nested arrays in the data. Here we look at how to flatten out this data in a Transformation job using Snowflake’s JSON handling functionality.Data formatAn example of the format is below. Here the many nested arrays and structs can be seen.Snowflake has native functionality for handling the nested JSON using the ... Read More