Tag: S3

Feed: AWS Big Data Blog. In today’s connected world, it’s common to have data sitting in various data sources in a variety of formats. Even though data is a critical component of decision making, for many organizations this data is spread across multiple public clouds. Organizations are looking for tools that make it easy to ingest data from these myriad data sources and be able to customize the data ingestion to meet their needs. AWS Glue is a fully managed extract, transform, and load (ETL) service that makes it easy to prepare and load your data for analytics. AWS Glue provides ... Read More

Feed: AWS Partner Network (APN) Blog. Author: Amber Gregorio. By Amber Gregorio, Sr. Product Marketing Manager at CloudHealth by VMwareBy Adrian SanMiguel, Principal Architect, AWS MSP Partner ProgramBy Shashiraj Jeripotula, Sr. Partner Solutions Architect at AWS The cloud market continues to evolve rapidly, and Managed Service Providers (MSPs) must go beyond reselling to provide the next generation of cloud managed services. Customers no longer want individual tools for each cloud provider; they expect MSPs to provide value by delivering cloud-agnostic tools for each step of their cloud journey—plan and design > build and migrate > run and operate > optimize ... Read More

Feed: AWS Big Data Blog. AWS Glue is a fully managed extract, transform, and load (ETL) service that makes it easy to prepare and load your data for analytics. AWS Glue has native connectors to connect to supported data sources on AWS or elsewhere using JDBC drivers. Additionally, AWS Glue now supports reading and writing to Amazon DocumentDB (with MongoDB compatibility) and MongoDB collections using AWS Glue Spark ETL jobs. This feature enables you to connect and read, transform, and load (write) data from and to Amazon DocumentDB and MongoDB collections into services such as Amazon Simple Storage Service (Amazon ... Read More

Feed: AWS Big Data Blog. Today, more data is created every hour than in an entire year just 20 years ago. Successful organizations are leveraging this data to deliver better service to their customers, improve their products, and run an efficient and effective business. As the importance of data and analytics continues to grow, the Amazon Redshift cloud data warehouse service is evolving to meet the needs of our customers. Amazon Redshift was the first data warehouse built for the cloud in 2012, and we’ve constantly listened to our customers to deliver on our promise of a fast, scalable, and ... Read More

Feed: AWS Big Data Blog. In today’s world, most organizations have to tackle the 3 V’s of variety, volume and velocity of big data. In this blog post, we talk about dealing with the variety and volume aspects of big data. The challenge of dealing with the variety involves processing data from various SQL and NoSQL systems. This variety can include data from rdbms sources such as Amazon Aurora or NoSQL sources such as Amazon DynamoDB or 3rd party APIs. AWS Glue is a serverless data integration service that makes it easy to discover, prepare, and combine data for analytics, ... Read More

Feed: AWS Partner Network (APN) Blog. Author: Paulo Vitor Pereira. By Paulo Vitor Pereira, Cloud Application Architect at AWSBy Phil de Valence, Principal Solutions Architect at AWS With an increased pace of innovation and demand for faster development and testing cycles, customers with mainframes want to adopt DevOps practices for their z/OS environments. To facilitate these practices, IBM offers the IBM Z Development and Test (ZD&T), a hardware emulation solution that allows regular z/OS software to run on the x86 platform by emulating the IBM Z instruction set, IO, and other devices. Aside from increasing development and test agility, IBM ... Read More

Feed: R-bloggers. Author: rOpenSci - open tools for open science. In this post I will explain the history behind BaseSet then a brief introduction to sets, followed by showing what you can do with BaseSet. Brief BaseSet history I study diseases to try to find what causes them at a research institute associated with an hospital. Thanks to recent technological advances we can analyze many things from a single patient’s sample. Having so much information available can be overwhelming, making it difficult to find the causes of diseases (but it is much better than not having enough information!). In order ... Read More

Feed: AWS Big Data Blog. The continuous growth of data volumes combined with requirements to implement long-term retention (typically due to specific industry regulations) puts pressure on the storage costs of data warehouse solutions, even for cloud native data warehouse services such as Amazon Redshift. The introduction of the new Amazon Redshift RA3 node types helped in decoupling compute from storage growth. Integration points provided by Amazon Redshift Spectrum, Amazon Simple Storage Service (Amazon S3) storage classes, and other Amazon S3 features allow for compliance of retention policies while keeping costs under control. An enterprise customer in Italy asked the ... Read More

Feed: AWS Big Data Blog. With Amazon EMR release 6.1.0, Amazon EMR runtime for Apache Spark is now available for Spark 3.0.0. EMR runtime for Apache Spark is a performance-optimized runtime for Apache Spark that is 100% API compatible with open-source Apache Spark. In our benchmark performance tests using TPC-DS benchmark queries at 3 TB scale, we found EMR runtime for Apache Spark 3.0 provides a 1.7 times performance improvement on average, and up to 8 times improved performance for individual queries over open-source Apache Spark 3.0.0. With Amazon EMR 6.1.0, you can now run your Apache Spark 3.0 applications ... Read More

Feed: AWS Partner Network (APN) Blog. Author: Mark McQuade. By Mark McQuade, Practice Manager, Data Science & Engineering – RackspaceBy Khobaib Zaamout, Data Scientist – Rackspace Artificial intelligence (AI) and machine learning (ML) have become widely recognized for their unique capabilities in helping companies utilize data. With AI and ML, organizations can leverage data for a wide range of use cases, including generating insights that power product and content recommendations and financial forecasting that aid in strategic business planning and growth. The prowess of these technologies in making sense of data has become a vital asset during the COVID-19 pandemic ... Read More