Tag: Apache

Feed: MemSQL Blog. Author: Floyd Smith. Bill Vorhies of Data Science Central and Rick Negrin of MemSQL recently delivered a webinar on data lakes and the use of Hadoop in the age of operational machine learning (ML) and artificial intelligence (AI). In this blog post, we summarize some of the key points from the webinar, as a preview for the webinar. You can also view the recorded webinar at any point. Businesses need flexible access to their data to make the best decisions. Unfortunately, the systems in use today impose complexity and structural delays. MemSQL, a fast, fully scalable relational ... Read More

Feed: AWS Partner Network (APN) Blog. Author: Phil de Valence. By Austin Tilman, Consultant at IpponBy Kevin Wrigglesworth, Senior Consultant at IpponBy Dennis Sharpe, Chief Technology Officer at IpponOur team at Ippon Technologies, an AWS Partner Network (APN) Advanced Consulting Partner, has successfully re-written a large mainframe third-party software package to Java Angular Spring Boot microservices. The package supported 130 TPS and 1,800 MIPS, catered to over 5,000 users, and housed more than 5 TB of business-critical data. Our target architecture relies on Amazon Web Services (AWS) Java microservices, and we helped the customer define the approach and architecture, and then developed the ... Read More

Feed: Blog Post – Corporate – DataStax. Author: Patrick McFadin, VP of Developer Relations. So far, we have run five out of six DataStax Developer Day events this month. After four dates in the United States, we are now on the first leg of the European tour. DataStax Developer Days are aimed at a mix of people with Cassandra skills—from those who are new to this database to those who want to expand what they do with search, analytics, and graph. However, our Developer Day in London (on November 6) surprised me by how many people wanted to discuss multi-cloud ... Read More

Feed: Microsoft Azure Blog. Author: Rob Caron. PASS Summit v.20 PASS Summit is the largest conference for technical professionals who leverage the Microsoft Data Platform. The 20th summit, which took place in Seattle last week, played host to a number of Azure-related announcements. Harness the future with the ultimate hybrid platform for data and AI Rohan Kumar, Corporate Vice President, Azure Data, gave the Day 1 keynote at PASS Summit v.20. In this post, he provides an overview of his keynote, including how hybrid connects all your data and enables comprehensive AI and analytics. Microsoft’s consistent data platform across on-premises ... Read More

Feed: Yellowbrick Data. Author: Gary Orenstein; For the past decade, the data lake has gone through its ups and downs. Now that the hype has passed, and the data lake does not spell the imminent demise of the database or the data warehouse, people are taking a more somber, practical look. Data is the first step to driving business value, and increasingly, data practitioners recognize that extracting data from the data lake, to be processed elsewhere, can be a key to success. In this post, we’ll explore three use cases where opening the dam of your data lake, and extracting ... Read More

Feed: What's New. Apache MXNet 1.3 comes with Gluon package enhancements, ONNX export, and TensorRT integration among many other enhancements. The Gluon package enhancements enable dynamic networks based on Gluon RNN layers to be hybrid, exported, and used in the inference APIs. TensorRT integration results in increased throughput and reduced latency. With Apache MXNet 1.3, the script format for training with the built-in MXNet containers in SageMaker is similar to using MXNet outside SageMaker, enabling enables seamless movement of workloads between SageMaker and your infrastructure. TensorFlow 1.11 comes with C, C++, and Python functions for querying kernels. The Amazon SageMaker ... Read More

Feed: Blog Post – Corporate – DataStax. Author: Jonathan Ellis, CTO and Co-founder. DataStax’s contributions to the Cassandra community cover a wide range of needs, all oriented towards your success in building Cassandra-based applications. I think of these as the “Three C’s of Community”: Code, Coaching, and Conferences. Code Cassandra Obviously, DataStax continues to contribute to Apache Cassandra™ itself.  Besides contributing the majority of the “tick-tock” releases culminating in the current 3.11, DataStax has contributed multiple features to the upcoming 4.0 release. These include: I’m happy to announce that as of today we are also releasing the DataStax Distribution of ... Read More

Feed: Microsoft Azure Blog. Author: Ashish Thapliyal. Today, we are excited to share our tips and tricks series on how to migrate on-premises Hadoop infrastructure to Microsoft Azure HDInsight. Every day, thousands of customers run their mission-critical big data workloads on Azure HDInsight. Many of our customers migrate workloads to HDInsight from on-premises due to its enterprise-grade capabilities and support for open source workloads such as Hive, Spark, Hadoop,  Kafka, HBase, Phoenix, Storm, and R. This six-part guide takes you through the migration process and shows you not only how to move your Hadoop workloads to Azure HDInsight, but also ... Read More

Feed: CDH – Cloudera Engineering Blog. Author: Tom Wheeler. In mid-2017, we were working with one of the world’s largest healthcare companies to put a new data application into production. The customer had grown through acquisition and in order to maintain compliance with the FDA, they needed to aggregate data in real-time from dozens of different divisions of the company. The consumers of this application, of course, did not care how we built the data pipeline. However, they cared greatly that if it broke, and the end-users did not get their data, they would be out of compliance and could ... Read More

Feed: What's New. Due to increasing demand, Amazon EC2 H1 Instances are now available in additional Availability Zones (AZs) in the US East (N. Virginia) AWS Region. The additional AZs will give customers more capacity to implement highly redundant architectures. Amazon EC2 H1 instances are Storage Optimized instances designed for applications that require low cost, high disk throughput and high sequential disk I/O access to very large data sets. Offering the best price/performance in the magnetic disk storage EC2 instance family, H1 instances are ideal for data-intensive workloads such as MapReduce-based workloads, distributed file systems such as HDFS and MapR-FS, ... Read More