Tag: Data visualization

Feed: Neo4j Graph Database. Author: Bryce Merkl Sasaki, Aspiring Graphista. By Utpal Bhatt, VP of Global Marketing | June 26, 2017  Reducing the risk of money laundering presents a similar challenge to that of fraud detection when it comes to today’s financial services landscape.Firms need to know where funds come from and where they are headed, but criminals use indirection to make it difficult to follow money from one point to another. In order to tackle the problem head on, financial services enterprises need a technology powered by data connections.In this series on Neo4j and financial services, we’ll be looking ... Read More

Feed: Alation. Author: Stephanie McReynolds. We are living in a new era of data defined by two massively disruptive trends – one architectural and the other organizational. Architecturally the introduction of Hadoop, a file system designed to store massive amounts of data, radically affected the cost model of data. Organizationally the innovation of self-service analytics, pioneered by Tableau and Qlik, fundamentally transformed the user model for data analysis. A “big data” revolution has ensued.Disruptive Trend #1: Hadoop More than any other advancement in analytic systems over the last 10 years, Hadoop has disrupted data ecosystems. By dramatically lowering the cost ... Read More

Feed: What's New. The Quick Start builds an AWS-validated architecture that includes:• An Amazon Redshift data warehouse, which is an enterprise-class relational database query and management system. • Tableau Server for business intelligence (BI) and data visualization capabilities, and a sample Tableau Server dashboard that demonstrates how to connect to multiple data sources in AWS.• A sample dataset that's loaded to an Amazon Redshift cluster to support efficient creation of aggregates at large data scale, and an associated SQL worker instance. You can also choose to load your own dataset.• Amazon Relational Database Service (Amazon RDS) with PostgreSQL, to provide ... Read More

Feed: AllegroGraph - THE Semantic Graph Database. Author: cnorvell. In this issue AllegroGraph v6.0 Now Available Gruff v6.2 Available February 29 Franz Recognized Among Top 10 Analytics Solution Providers 2016 by Pharma Tech Outlook Franz awarded Corporate America's Best in Semantic Web Technology - USA & Leader in Graph Database Products Recent Articles about Franz - AllegroGraph Recorded Webcast - "Enriching the Property Graph with Relationship Objects" Follow us on Google Plus, Twitter, LinkedIn, and YouTube Brief Customer and News Highlights AllegroGraph 6.0 Now Available New Features Include: Certification on Cloudera Enterprise Support for loading files from Hadoop Distributed File ... Read More

Feed: All - O'Reilly Media. Author: Mike Loukides. Rhombus and hex weave. (source: Joel Cooper on Flickr). JupyterCon is August 22-25, 2017, in New York City. Registration is now open. What is Jupyter, and why do you care? After all, Jupyter has never become a buzzword like data science, artificial intelligence, or Web 2.0. Unlike those big abstractions, Jupyter is very concrete. It’s an open source project, a piece of software, that does specific things. But without attracting the hype, Jupyter Notebooks are revolutionizing the way engineers and data scientists work together. If all important work is collaborative, the most ... Read More

Feed: Microsoft Power BI Blog | Microsoft Power BI. Author: . Take your dashboard and reports to the next level with a hands-on look at improving and updating your visual design in Wednesday's webinar! Data Visualization Design Discussion Lab with Miranda Li Power BI enthusiasts around world published hundreds of stunning visualization examples in our Data Stories Gallery. They inspire us with data insights, creativity, design thinking, and a vastly diverse way to tell stories with data. Join us in this data visualization design lab to study these wonderful visualizations on how they inspire you, how you would do it ... Read More

Feed: Neo4j Graph Database. Author: Bryce Merkl Sasaki, Aspiring Graphista. By Utpal Bhatt, VP of Global Marketing | June 19, 2017  Identifying and stopping fraudulent activity is harder than ever for financial services organizations.Standard anti-fraud technologies — such as a deviation from normal purchasing patterns — use discrete data. This is useful for catching individual criminals acting alone, but discrete methods fall short when it comes to detecting fraud rings. Furthermore, many discrete methods are prone to false positives, which can impact customer satisfaction and result in lost revenue.Sophisticated criminals continuously alter their strategies to circumvent detection by traditional solutions ... Read More

Feed: Cloudera Engineering Blog » CDH. Author: Bala Venkatrao. Learn the new features and enhancements in Cloudera Manager 5, including support for YARN, management of third-party apps and frameworks, and more. The response to the Oct. 2013 release of Cloudera Enterprise 5 Beta has been overwhelming, and Cloudera is busily working closely with several customers to incorporate their feedback. Cloudera Manager 5 is a key part of this release, and in this post, I will provide a brief overview of some key features in Beta 1 as well as introduce some of those planned for Beta 2 (to be released ... Read More

Feed: MapD Blog - Thoughts on GPU databases, data visualization and integrated analytics. Author: Ed O'Donnell. This week we release version 3.1 of MapD, which comes after some truly giant news over the last few weeks, and adds a number of useful new features.First, we’ve brought into Immerse a feature from the MapD Core Rendering Engine called Density Gradient, which helps you spot areas of concentration when you’re looking at visualizations of big data. For example, let’s say you’re looking at the New York City street grid and trying to find the heaviest areas of taxi drop-offs. Beforehand you would ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Raghavan Madabusi. Overview Dataiku Data Science Studio (DSS), a complete data science software platform, is used to explore, prototype, build, and deliver data products. It significantly reduces the time taken by data scientists, data analysts, and data engineers to perform data loading, data cleaning, data preparation, data integration, and data transformation when building powerful predictive applications. It is easy and more user-friendly to explore the data and perform data cleansing. It supports datasets such as Filesystem, FTP, HTTP, SSH, SFTP, Cloud (S3), PostgreSQL, MySQL, Hadoop (HDFS), Oracle, MS SQL Server, Analytic ... Read More