Tag: analytics

Feed: Featured Blog Posts - Data Science Central. Author: Igor Bobriakov. Apache Spark is a powerful open-source processing engine built around speed, ease of use, and sophisticated analytics. It has originally been developed at UC Berkeley in 2009, while Databricks was founded later by the creators of Spark in 2013. The Spark engine runs in a variety of environments, from cloud services to Hadoop or Mesos clusters. It is used to perform ETL, interactive queries (SQL), advanced analytics (e.g., machine learning) and streaming over large datasets in a wide range of data stores (e.g., HDFS, Cassandra, HBase, S3). Spark supports ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Kateryna Lytvynova. The best trained soldiers can’t fulfill their mission empty-handed. Data scientists have their own weapons — machine learning (ML) software. There is already a cornucopia of articles listing reliable machine learning tools with in-depth descriptions of their functionality. Our goal, however, was to get the feedback of industry experts. And that’s why we interviewed data science practitioners — gurus, really —regarding the useful tools they choose for theirprojects. The specialists we contacted have various fields of expertise and are working in such companies as Facebook and Samsung. Some of them represent AI startups ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Igor Bobriakov. The insurance industry is regarded as one of the most competitive and less predictable business spheres. It is instantly related to risk. Therefore, it has always been dependent on statistics. Nowadays, data science has changed this dependence forever. Now, insurance companies have a wider range of information sources for the relevant risk assessment. Big Data technologies are applied to predict risks and claims, to monitor and to analyze them in order to develop effective strategies for customers attraction and retention. Undoubtedly, the insurance companies benefit from data science application ... Read More

Feed: The Connector by Workato. Author: Hannah Herman; Sales is perhaps the fastest-moving part of any business. There’s a constant stream of new campaigns for sales reps to keep up with, and each requires new processes. Ideally, sales teams would automate many of those processes. Because sales moves so quickly, however, teams just can’t wait for IT to implement new automations—so they’re increasingly doing it themselves. While they may eliminate some manual work, these ad-hoc automations can be tricky to execute well; they’re often not as effective as you hoped, and they’re usually not secure or governable by IT. An ... Read More

Feed: Blue Medora. Author: Mike Kelly. This article originally appeared on InfoWorld Enterprises are embracing cloud platforms, often having more than one provider to best suit the given application. But how to monitor across this hybrid environment? Most IT professionals would agree that cloud computing is more about a paradigm than a physical displacement of computing resources. The “utility” paradigm is transformational by virtue of on-demand, elastic resources. But unlike being stuck with just a single local cable provider, the range of choice in cloud computing options also provides selectivity and customization best suited for the delivery of individual applications ... Read More

Feed: AWS Partner Network (APN) Blog. Author: Vibhu Bithar. By Vibhu Bithar, Partner Solutions Architect at AWSAsset tracking is an area where the Internet of Things (IoT) has significant business impact. Asset tracking refers to the method of tracking physical assets, either by scanning barcode labels attached to the assets or by using GPS, BLE, or RFID tags that broadcast their location. These technologies can also be used for indoor tracking of persons wearing a tag. Coarse location tracking is a subset of location tracking where the approximate location of an asset (within a 20-mile radius) suffices the use-case requirements. In ... Read More

Feed: What's New. Customers can now store sensitive payment card data in an encrypted Amazon EFS file system for use cases such as payment processing, mobile wallet, and payment fraud prevention that are subject to PCI DSS compliance. PCI DSS is a proprietary information security standard administered by the PCI Security Standards Council and applies to all entities that store, process or transmit cardholder data and/or sensitive authentication data including merchants, processors, acquirers, issuers, and service providers. Amazon EFS provides simple, scalable, elastic file storage for use with AWS Cloud services and on-premises resources. It is easy to use and ... Read More

Feed: Hortonworks Blog – Hortonworks. Author: Saumitra Buragohain. We’re excited to announce the long-awaited release of Hortonworks Data Platform 3.0.0. HDP 3.0 is faster, smarter, hybrid, bigger, trusted and real-time database. We encourage you to read our blog that announced HDP 3.0. You can also view our keynote presentation from DataWorks Summit, where we demoed an autonomous car (1/10 scale), trained with HDP 3.0 technologies. We also want to thank  our current and prospective customers and partners for signing up for the HDP 3.0 Early Access and we are encouraged by the huge interest- now, you can use the HDP ... Read More

Feed: What's New. A reference data source is static data that your streaming application uses to enrich data coming in from streaming sources. You store reference data as an object in your S3 bucket. You can use this new console feature to add, edit, or view reference data used to enrich an input data stream. For example, you can add character metadata to streaming game events, system information to log files, and much more. Kinesis Data Analytics is the easiest way to process streaming data in real time with standard SQL without having to learn new programming languages or processing ... Read More

Feed: erwin Expert Blog – erwin, Inc.. Author: Michael Pastore. The ability to quickly collect vast amounts of data, analyze it, and then use what you’ve learned to help foster better decision-making is the dream of many a business executive. But like any number of things that can be summarized in a single sentence, it’s much harder to execute on such a vision than it might first appear.According to Forrester, 74 percent of firms say they want to be “data-driven,” but only 29 percent say they are good at connecting analytics to action. Consider this: Forrester found that business satisfaction ... Read More