Tag: Spark

Feed: AWS Big Data Blog. Notebooks are increasingly becoming the standard tool for interactively developing big data applications. It’s easy to see why. Their flexible architecture allows you to experiment with data in multiple languages, test code interactively, and visualize large datasets. To help scientists and developers easily access notebook tools, we launched Amazon EMR Notebooks, a managed notebook environment that is based on the popular open-source Jupyter notebook application. EMR Notebooks support Spark Magic kernels, which allows you to submit jobs remotely on your EMR cluster using languages like PySpark, Spark SQL, Spark R, and Scala. The kernels submit ... Read More

Feed: Blog Post – Corporate – DataStax. Author: Billy Bosworth, CEO. Today, we’re announcing DataStax Constellation, our new cloud data platform designed to make hybrid and multi-cloud data management ‘easy and obvious’ in a world where building applications can often be complex and confusing. With Constellation, enterprises will now get the extreme power of our data solutions with push-button simplicity. That power-made-simple will allow our customers to rapidly develop cloud applications with on-prem compatibility, along with smart services for performance monitoring that will span all Cassandra-based deployments, whether on-prem or in the cloud. DataStax’s masterless architecture uniquely positions us to ... Read More

Feed: All - O'Reilly Media. Author: Ben Lorica. Pillars (source: Pixabay) Get expert knowledge on the tools and technologies you need to put your data strategies to work. Join us at the O’Reilly Strata Data Conference in New York, September 23-26, 2019. In this post, I share slides and notes from a keynote I gave at the Strata Data Conference in London earlier this year. I will highlight the results of a recent survey on machine learning adoption, and along the way describe recent trends in data and machine learning (ML) within companies. This is a good time to assess ... Read More

Feed: Microsoft Azure Blog. Author: Microsoft Azure. News and updates Azure SQL Database Edge: Enabling intelligent data at the edge At Microsoft Build 2019, we announced Azure SQL Database Edge, available in preview, to help address the requirements of data and analytics at the edge using the performant, highly available and secure SQL engine. Developers will now be able to adopt a consistent programming surface area to develop on a SQL database and run the same code on-premises, in the cloud, or at the edge. Microsoft Azure portal May 2019 update This month is packed with updates on the Azure ... Read More

Feed: IBM Big Data & Analytics Hub - All Content; Author: karan-sachdeva; Companies are entering “chapter two” of their digital transformation. The next chapter is all about moving from experimentation to true transformation. It’s about gaining speed and scale. We are helping businesses activate data as a strategic asset, with desire to maximize the impact of AI as core to the business strategy.To do so, businesses must explore AI and become comfortable with data science embedded into business processes. Early open source data science and AI proofs-of-concept are beginning to mature. Businesses leaders are starting to seek help on how ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Chris Kachris. Machine learning applications require powerful and scalable computing systems that can sustain the high computation complexity of these applications. Companies that are working on the domain of machine learning have to allocate a significant amount of their budget for the OpEx of machine learning applications whether this is done on cloud or on-prem. Typical machine learning application (especially when auto ML is used) can scale to as much as 30 nodes or higher (servers) to provide useful results, increasing significantly the TCO. For example, Auto ML automate many data ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Andrii Gakhov. Here I want to present my new book on advanced algorithms for data-intensive applications named "Probabilistic Data Structures and Algorithms in Big Data Applications" (ISBN: 9783748190486). The detailed information about the book you can find at its webpage and below I give you some introduction to the topic this book is about. What are the probabilistic data structures and why do we need them? There is no doubt that a lot of data creates unbelievable opportunities to learn and opens new horizons for business. However, this also implies lots of ... Read More

Feed: AWS Big Data Blog. You generally write unit tests for your code, but do you also test your data? Incorrect or malformed data can have a large impact on production systems. Examples of data quality issues are:Missing values can lead to failures in production system that require non-null values (NullPointerException). Changes in the distribution of data can lead to unexpected outputs of machine learning models. Aggregations of incorrect data can lead to wrong business decisions. In this blog post, we introduce Deequ, an open source tool developed and used at Amazon. Deequ allows you to calculate data quality metrics ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Vincent Granville. Monday newsletter published by Data Science Central. Previous editions can be found here. The contribution flagged with a + is our selection for the picture of the week. To subscribe, follow this link.   Announcements Maximize your job prospects. Earn a Penn State Master’s in Data Analytics part-time and online. Learn to design and apply data management techniques to solve business problems involving high volumes of structured and unstructured data. Strive toward a leadership role in the field of data science. GRE/GMAT waivers available. Improve your marketability -- apply now.  See details. Westat is ... Read More

Feed: Microsoft Azure Blog. Author: Rimma Nehme. At Microsoft Build 2019 we announced exciting new capabilities, including the introduction of real-time operational analytics using new built in support for Apache Spark and a new Jupyter notebook experience for all Azure Cosmos DB APIs. We believe these capabilities will help our customers easily build globally distributed apps at Cosmos scale. Here are additional enhancements to the developer experience, announced at Microsoft Build: Powering Kubernetes with etcd API Etcd is at the heart of the Kubernetes cluster - it’s where all of the state is! We are happy to announce a preview for ... Read More