Tag: Hadoop

Feed: AWS Big Data Blog. Patient matching is a major obstacle in achieving healthcare interoperability. Mismatched patient records and inability to retrieve patient history can cause significant barriers to informed clinical decision-making and result in missed diagnoses or delayed treatments. Additionally, healthcare providers often invest in patient data deduplication, especially when the number of patient records is growing rapidly in their databases. Electronic Health Records (EHRs) have significantly improved patient safety and care coordination in recent years; however, accurate patient matching remains a challenge for many healthcare organizations.Duplicate patient records emerge for a variety of reasons, including human-generated number insertion, ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Divya Singh. Data Scientist is regarded as the sexiest job of the 21st century. It is a high paying lucrative jobs which comes with a lot of responsibility and commitment. Any professional needs to master state-of-the-art skills and technologies to become a Data Scientist in the modern world. It is a profession where people from different disciplines could fit in as there are a plethora of specialties embedded in a Data Scientist role. Data Science is not a present-day phenomenon, however. The various skills like Machine Learning, Deep Learning, AI, and so ... Read More

Feed: Teradata Blog. We created Teradata Vantage to address the challenges of some of the world’s largest and most data-rich companies. We want to empower these enterprises to take full advantage of the best data analytics with all the benefits of the cloud. In my last post, "Data Analytics in the Cloud: It's not Just Lift and Shift," we discussed the challenges these businesses face in designing a cloud architecture. In their rush to retool themselves into cloud-forward companies, enterprises often make the same mistakes and stumble over the same roadblocks that ultimately delay their transformation. In this post, we’ll ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: William Vorhies. Summary:  A little history lesson about all the different names by which the field of data science has been called, and why, whatever you call it, it’s all the same thing. A little reminiscence, or for those of you who are only recently data scientists, a little history lesson.  Our profession of finding the signal in the data, be that supervised or unsupervised got underway in the 90s.  In the last 20+ years we’ve been called by a variety of names.  It’s not at all clear that as those ... Read More

Feed: Recent Announcements. Amazon EMR is now available on AWS Outposts, allowing you to deploy open-source tools like Apache Spark and Apache Hive in your data center. Using Amazon EMR on AWS Outposts, you can set up, deploy, manage, and scale Apache Hadoop, Apache Hive, Apache Spark, and Presto clusters in your on-premises environments, just as you would in the cloud. Amazon EMR on AWS Outposts provides cost-efficient capacity while automating time-consuming administration tasks like infrastructure provisioning, cluster setup, configuration, or tuning, freeing you to focus on your applications ... Read More

Feed: Teradata Blog. Today, adopting the cloud is a foregone conclusion for the enterprise. As the scope and diversity of data grows at an increasingly faster pace, it’s no wonder that nearly 60 % of North American enterprises now rely on public cloud platforms, five times the percentage that did just five years ago[1]. Gartner predicts that by 2022, 75% of all databases will be deployed or migrated to a cloud platform, with only 5% ever considered for repatriation to on-premises[2]. It’s clear that the cloud’s flexibility will rapidly become an essential success factor for businesses across every industry.But what’s ... Read More

Feed: Recent Announcements. Amazon EMR release 6.0.0 (Beta 2) is now available with Hive 3.1.2, Hadoop 3.2.1, Spark 2.4.4, and Scala 2.12. In this release, Hive LLAP is enabled by default, allowing you to benefit from improved query performance and new features such as materialized views, and workload management. Additionally, Scala has been upgraded, allowing you to start testing your Spark applications with Scala 2.12.  ... Read More

Feed: AWS Big Data Blog. Amazon Athena is an interactive query service that makes it easy to analyze the data stored in Amazon S3 using standard SQL. Athena is serverless, so there is no infrastructure to manage, and you pay only for the queries that you run. You can reduce your per-query costs and get better performance by compressing, partitioning, and converting your data into columnar formats. To learn more about best practices to boost query performance and reduce costs, see Top 10 Performance Tuning Tips for Amazon Athena.Overview This blog post discusses how to use Athena for extract, transform ... Read More

Feed: AWS Big Data Blog. Amazon Athena is an interactive query service that makes it easy to analyze data in Amazon S3 using standard SQL. Athena is serverless, so there is no infrastructure to manage, and you pay only for the queries that you run.Amazon Athena has announced a public preview of a new feature that provides an easy way to run inference using machine learning (ML) models deployed on Amazon SageMaker directly from SQL queries. The ability to use ML models in SQL queries makes complex tasks such as anomaly detection, customer cohort analysis, and sales predictions as simple ... Read More

Feed: Hadoop Dev. Author: Kiran Guduguntla. Today (November 26, 2019), I am very excited to announce the release of IBM Big Replicate for Hadoop 2.14.2, Object Stores 2.14.2, Hive 4.0.1 and Security 4.0.2, now available! The IBM Big Replicate Suite will now add support to Cloudera Distributed Hadoop (CDH) v6.0-v6.3 platform along with Hortonworks Data Platform (HDP) v3.0-v3.1.4. WHAT IS IBM BIG REPLICATE? Big Replicate is a replication technology that gives you LIVE DATA — consistent data everywhere, spanning platforms and locations, even for changing data at petabyte scale. Big Replicate enables data replication for Hadoop and cloud object stores ... Read More