Tag: Apache

Feed: MemSQL Blog. Author: Floyd Smith. How does a major technology services company equip itself to compete in the digital age – and provide services so outstanding that they can significantly advance the business prospects of their customers? All while reducing complexity, cutting costs, and tightening SLAs – in some cases, by 10x or more? For one such company, the solution is to deliver real-time, operational analytics with Kafka and MemSQL. In this company, data flowed through several data stores, and from a relational, SQL database, into NoSQL data stores for batch query processing, and back into SQL for BI, ... Read More

Feed: Recent Announcements. Apache Hudi is an open-source data management framework used to simplify incremental data processing and data pipeline development. Apache Hudi enables you to manage data at the record-level in Amazon S3 to simplify Change Data Capture (CDC) and streaming data ingestion, and provides a framework to handle data privacy use cases requiring record level updates and deletes. Data sets managed by Apache Hudi are stored in S3 using open storage formats, and integrations with Presto, Apache Hive, Apache Spark, and AWS Glue Data Catalog give you near real-time access to updated data using familiar tools. Apache Hudi is ... Read More

Feed: Puppet Blog Feed. Author: Claire Cadman; With increasing pressure to keep infrastructure secure and install the latest software packages, even the most efficient teams will struggle to manually install packages on hundreds, or even thousands, of ever-changing servers.To meet the needs of internal customers, you might be asked to install a package on all the servers in your infrastructure. To do this manually could mean finding where the package is stored, knowing the version, logging into the system with the right credentials, installing the package with the right credentials (that may or may not be the same as the ... Read More

Feed: Liquid Web. Author: Andrew Hartnett; First of all, what is DevOps? DevOps is short for Developer Operations and it is a newer approach that combines both development and operational tasks to automate and speed up software development practices and reduce release cycles for fast-growing companies. DevOps is built on the concept of teamwork and aims to unite teams that were traditionally kept separate and siloed, and reduces the development lifecycle for faster scalability. Once companies have decided which their business needs and objectives are, they need to start small and work towards adopting the DevOps model across the entire ... Read More

Feed: Recent Announcements. AWS Lake Formation is a service that makes it easy to set up a secure data lake in days. A data lake is a centralized, curated, and secured repository that stores all your data, both in its original form and prepared for analysis. A data lake enables you to break down data silos and combine different types of analytics to gain insights and guide better business decisions. Creating a data lake with Lake Formation is as simple as defining where your data resides and what data access and security policies you want to apply. Lake Formation then ... Read More

Feed: R-bloggers. Author: Jozef's Rblog. [This article was first published on Jozef's Rblog, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don't. In the previous parts of this series, we have shown how to write functions as both combinations of dplyr verbs and SQL query generators that can be executed by Spark, how to execute them with DBI and how to achieve lazy SQL statements that only get executed when needed. In this fourth ... Read More

Feed: Microsoft Azure Blog. Author: John Macintyre. On November fourth, we announced Azure Synapse Analytics, the next evolution of Azure SQL Data Warehouse. Azure Synapse is a limitless analytics service that brings together enterprise data warehousing and Big Data analytics. It gives you the freedom to query data on your terms, using either serverless on-demand or provisioned resources—at scale. Azure Synapse brings these two worlds together with a unified experience to ingest, prepare, manage, and serve data for immediate business intelligence and machine learning needs. With Azure Synapse, data professionals can query both relational and non-relational data using the familiar ... Read More

Feed: AWS Partner Network (APN) Blog. Author: Jim Huang. By Ilan Rabinovitch, VP of Product Management at DatadogBy Jim Huang, Sr. Partner Solutions Architect at AWSMigrating customer workloads to the Amazon Web Services (AWS) Cloud typically comprises several phases: migration readiness assessment, migration planning, the actual migration of applications, and post-migration application optimization. At each of these phases, there are tools and services to help you automate and accelerate migration tasks. This includes discovery for identifying IT assets and application dependencies, Total Cost of Ownership (TCO) analysis for developing the business case for migration, and mobility for migrating servers and ... Read More

Feed: Recent Announcements. The Spark History Server is an extension of the Apache Spark Web User Interface (UI). It presents a visual interface with detailed information about completed and running Spark jobs on a cluster. You can dive into job-specific metrics, and information about scheduler stages, tasks, and running executors.   Amazon EMR now persists the Spark History Server along with the event and container logs outside the cluster and independently of the cluster’s life cycle. This allows you to access and use the Spark History Server for terminated and running clusters alike. In addition, you can access the Spark ... Read More

Feed: Microsoft Power BI Blog | Microsoft Power BI. Author: . Over the past few weeks we have released several new features in Dataflows, allowing users to seamlessly ingest and prepare data that can be widely reused by other users across the Power Platform, including: 7 New Data Connectors: PDF Files Local Folder SharePoint Folder Google BigQuery HDInsight Spark Apache Spark Generic ODBC 40+ New Data Transformations: Combine Files UX Merge Queries – Visual join kind selection Additional Number/Date/DateTime/Duration transformations UX List transformations: Statistics, Sort, Keep/Remove/Reverse items Fill Up/Down Move Columns left/right/beginning/end Replace Errors Other Power Query Authoring Enhancements: Data ... Read More