Tag: Graph

Feed: Planet MySQL; Author: Airton Lastori; The MySQL Enterprise Tools Development Team is pleased to announce the maintenance release of MySQL Enterprise Monitor 8.0.14 is now available for download on the My Oracle Support (MOS) web site. It will also be available for download via the Oracle Software Delivery Cloud in a few days. If you are not familiar with MySQL Enterprise Monitor, it is the best-in-class tool for monitoring and management of your MySQL assets and is part of MySQL Enterprise Edition and MySQL Cluster Carrier Grade Edition subscriptions. You are invited to give it a try using our 30-day free customer trial ... Read More

Feed: Big Data Made Simple. Author: Guest. Vijaya Kumar Ivaturi (known as IVK) is the co-founder and CTO of Crayon Data, a big data & AI product company at Singapore with a development center in Chennai. He has been with ICT industry for the last 30 years and is one of the leading experts in innovation management and advanced technologies incubation in India.IVK worked at Wipro for more than two decades before entering into the startup world. He was one of the core group members to set up the telecom business in Wipro, and led the wireless and telecom applications ... Read More

Feed: Neo4j Graph Database Platform. Author: Jocelyn Hoppa. Graph algorithms provide the means to understand, model and predict complicated dynamics such as the flow of resources or information, the pathways through which contagions or network failures spread, and the influences on and resiliency of groups.This blog series is designed to help you better utilize graph analytics and graph algorithms so you can effectively innovate and develop intelligent solutions faster using a graph database.Last week we finished our look at pathfinding and graph search algorithms, with a focus on Minimum Weight Spanning Tree. This week we begin our exploration of Centrality ... Read More

Feed: Big Data Made Simple. Author: Danish Wadhwa. Python language is already assisting developers in creating standalone, PC, games, mobile and other enterprise applications. Python with more than 137,000 libraries helps in various ways. In this data-centric world, where consumers demand relevant information in their buying journey, companies also require data scientists to avail valuable insights by processing massive data sets.This information guides them in critical decision making, streamlining business operations and thousands of other tasks which require valuable information to accomplish efficiently. Thus, with this increased demand for data scientists, beginners and professionals are looking for resources to learn ... Read More

Feed: Planet MySQL; Author: MyDBOPS; During our recent consulting with one of our client, We came across an interesting issue on RDS. The baseline is that “Low IO size on your RDS instance can affect your DB performance”.  Yes, It’s IO size, Not IOPS. We had our production systems running on RDS MySQL with a single master, 3 replicas. All instances are of same type db.m4.4xlarge with same parameter group configuration and the disk size is 1.5 TB. According to the AWS user guide, each of these instances can support up to 4500 (sustained IOPS) guaranteed IOPS. Find below the ... Read More

Feed: Planet MySQL; Author: Searce Engineering; MySQL Adventures: Metabase Sync May Eat Your InnoDB Buffer PoolBhuvaneshBlockedUnblockFollowFollowingJan 19To continue our adventures on MySQL, today we investigated one more issue about MySQL’s memory consumptions. It's not a very big deal but looks something interesting/warning if you are using Metabase.You may like these articles:How max_prepared_stmt_count can bring down productionReduce MySQL Memory Utilization With ProxySQL MultiplexingMetabase:Metabase is a great lightweight tool for analytics or we can use it for query MySQL database(it’s not the primary purpose, but still we can use it as a GUI for run your report queries). It supports many databases including ... Read More

Feed: Neo4j Graph Database Platform. Author: Mark Needham. Welcome to the 3rd edition of This Week in Neo4j for 2019. We’ve got a variety of different things for you this week. Christophe Willemsen has written an excellent deep dive into the Full-Text Search feature released in Neo4j 3.5, Dr Jim Webber explains how Neo4j can be used for large scale systems using less servers, Emil is interviewed on Azeem Azhar’s podcast, and of course we have the next post in Jennifer Reif’s Marvel Series! This week’s featured community member is my colleague Michael Simons – Java-Champion, JUG-Lead, conference speaker and ... Read More

Feed: Redis Labs. Author: Dave Provenza. Introduction After we published our recent RedisGraph benchmarking results, the folks at TigerGraph replied with some thoughts. While we appreciate hearing our competition’s perspective, we’d like to address their accusation of fake news. In our blog post, we introduced a parallel requests benchmark. This test is the same K-hop neighborhood count query test created by TigerGraph, but for our test, we had 22 clients execute the queries against RedisGraph concurrently. We introduced the concurrent requests test because we believe it is representative of almost any real-time, real-world scenario. The results we published measured the ... Read More

Feed: Cambridge Intelligence. Author: Jenny Phillips Campbell. The date is 1345. The place is the medieval manor of Redgrave in Suffolk, England. The feudal system means peasants have to work the land that’s controlled by rich nobles and clergy.As if being a lowly peasant on the lowest rung of the social ladder wasn’t bad enough, the argument you’ve had with a neighbor has landed you in court. And if you manage to survive the next few years, you’ll have the Black Death to contend with.The period of English history that inspired Game of Thrones probably isn’t the first thing you’d ... Read More

Feed: AWS Big Data Blog. Although structured data remains the backbone for many data platforms, increasingly unstructured or semistructured data is used to enrich existing information or to create new insights. Amazon Athena enables you to analyze a wide variety of data. This includes tabular data in comma-separated value (CSV) or Apache Parquet files, data extracted from log files using regular expressions, and JSON-formatted data. Athena is serverless, so there is no infrastructure to manage, and you pay only for the queries that you run.In this blog post, I show you how to use JSON-formatted data and translate a nested data structure ... Read More