Tag: DR

Feed: Hadoop Dev. Author: Nailah Bissoon. The intention of this blog is to outline one of the procedures that can be taken to backup the Big SQL database across the nodes in the cluster. The procedure outlined here is for offline backup and restore which means that the backup/restore is taken when no active users are logged into the cluster. The backup of the Big SQL database should be scheduled in off peak hours. The restore is intended to be done only in case of emergencies for example if a table is accidentally deleted. The steps outlined here are for ... Read More

Feed: Hadoop Dev. Author: Nailah Bissoon. In the event that a Big SQL cluster goes down due to disaster, applications can switch to a secondary cluster where the meta-data and distributed filesystem data is replicated. The IBM Big SQL and Big Replicate solution automates DR for both meta-data and distributed filesystem data. This solution replicates the data files to the DR cluster as well as the Big SQL and Hive meta-data. This blog outlines the steps to setup a Big SQL DR cluster without Big Replicate. Other components such as Hive, HDFS and HBase also need to be considered for ... Read More

Feed: AWS Partner Network (APN) Blog. Author: Ian Scofield. By Ian Scofield, Juan Villa, and Mike Ruiz This is the second post in our series documenting our project to fix issues with the GameDay architecture by using tenets of the AWS Well-Architected Framework. See Part 1 of the post for an overview of the process, a description of the initial review, and a list of the critical findings identified by the review team. In this post, we’ll cover the steps we took to fix the critical findings identified by the review team. In future posts, we will share our plans ... Read More

Feed: Hadoop Dev. Author: Nailah Bissoon. This blog outlines one of the procedures to backup the Big SQL catalog while the database is activated. The restore is intended to be done only in case of emergencies. The steps outlined here are for restoration on the same cluster. For cases where there is no Big SQL Disaster Recovery or High Availability implemented, it is recommended to take regular backups of the Big SQL database. The steps outlined here are for taking regular Big SQL online backups. There is a bigsql_bar.py currently utility used for the Big SQL and Big Replicate DR ... Read More

Feed: Neo4j Graph Database. Author: Bryce Merkl Sasaki. By Benjamin Nussbaum, President & CTO of AtomRain | October 17, 2017  In early 2016, we started pioneering a unique frontier in cloud where many companies including Amazon Web Services (AWS) have not ventured: The deployment automation of secure, globally connected virtual private clouds (VPCs). We see the ability to communicate securely rather than across public internet as a baseline security requirement for any organization.Why Your Current Security Efforts Aren’t EnoughTo date Neo4j Enterprise Edition hasn’t provided any encryption on traffic between cluster members. Meaning if you deploy three Neo4j instances in ... Read More

Feed: Percona Database Performance Blog. Author: Adamo Tonete. Adamo Tonete  | October 16, 2017 |  Posted In: Backups, MongoDB, Percona Server for MongoDB PREVIOUS POST In this blog post, we will talk about MongoDB sharding and walk through the main reasons why you should start a cluster (independent of the approach you have chosen). Note: I will cover this subject in my webinar How To Scale with MongoDB on Wednesday, October 18, 2017, at 11:00 am PDT / 2:00 pm EDT (UTC-7). Sharding is the most complex architecture you can deploy using MongoDB, and there are two main approaches as to when to ... Read More

Feed: R-bloggers. Author: Mango Solutions. We’re only a few weeks away! Don’t miss keynotes from Mara Averick, David Robinson and Tareef Kawaf! They will be joined by speakers from DataCamp, Crunch, Pfizer, GfK, Biogen, VideoBlocks, Microsoft, Oracle, TIBCO, and Sorensen Impact Center, just to name a few. The agenda covers a huge range of topics, including: Using Shiny in a commercial setting – see Dr Shatrunhai Singh’s presentation: ‘A Shiny way to operationalising analytics’. Using R to improve the community – see Joseph Ciesielski’s presentation: ‘The Tidyvese in the non-profit sector: From counting kids to changing outcomes’. The use of ... Read More

Feed: Microsoft Azure Blog. Author: Alex Sutton. Imagine reducing your training time for an epoch from 30 minutes to 30 seconds, and testing many different hyper-parameter weights in parallel. Available now, in public preview, Batch AI is a new service that helps you train and test deep learning and other AI or machine learning models with the same scale and flexibility used by Microsoft’s data scientists. Managed clusters of GPUs enable you to design larger networks, run experiments in parallel and at scale to reduce iteration time and make development easier and more productive. Spin up a cluster when you ... Read More

Author: . In the first post in this series, I discussed the emergence of NoSQL to address the need to make databases compatible with cloud needs. And in my last blog post, I talked about the dichotomy between smart databases and smart applications. I asked whether we can have smart databases that can scale on the cloud. So now let’s talk about why I think the answer is yes.The Big Data revolution was substantially powered by Hadoop, initially a combination of a distributed store and the new-fangled Map/Reduce query model. But in recent years Hadoop has evolved from being the ... Read More

Feed: Big Data Made Simple - One source. Many perspectives.. Author: Manu Jeevan. To tackle any problem in a systematic and effective way, you must be able to break it down into parts. After all, understanding the problem is the first step to finding the solution.  From there, you can develop a strategic battle plan. With data quality, the same applies: every initiative features many stages and many different angles of attack. When starting a data quality improvement program, it’s not enough to count the amount of records that are incorrect, or duplicated, in your database. Quantity only goes so ... Read More