Tag: Hadoop

Feed: Actian. Author: Pradeep Bhanot. In this third and last part of the series on Actian Vector in Hadoop (VectorH), we will cover how the VectorH file format supports the performance and efficiency of our data analytics platform to accelerate business insights, as well as some of the other enterprise features that can help businesses move their Hadoop applications into production. Part one of this series showed the huge performance advantages VectorH has over other SQL on Hadoop alternatives, while part two explored the benefits of the richer implementation of SQL and the ability to perform data updates in VectorH.The ... Read More

Feed: SingleStore Blog. Author: . Modern business can’t run on legacy technology. A strong case in point: the painfully slow performance, high costs and complexity associated with Hadoop. SingleStore offers a streamlined, cost-effective path to modernity with options to augment or replace Hadoop on-premises, or on hybrid cloud environments.It’s 2022. Which means that whatever challenges your organization faced with Hadoop last year have probably intensified. Does this sound familiar?“Here’s the funny thing about Hadoop in 2021: While cost savings and analytics performance were the two most attractive benefits back in the roaring 2010s, the shine has worn off both features ... Read More

Feed: Microsoft Azure Blog. Author: Arindam Chatterjee. Due to the complexity, high cost of operations, and unscalable infrastructure, on-premises Hadoop platforms have often not delivered on their initial promises to impact business value. As a result, many enterprises are now seeking to modernize their Hadoop platforms to cloud data platforms. Catalysts include: High cost of ownership: On-premises hardware is costly and potential is never realized. End-of-life and expiring licenses: Do you renew or migrate? End of support: Customers are forced to upgrade or buy new hardware. Customers are now turning to Azure Databricks. Azure Databricks is a unified data analytics ... Read More

Feed: Recent Announcements. AWS DataSync now supports transferring data between Hadoop Distributed File Systems (HDFS) and Amazon S3, Amazon Elastic File System (EFS), or Amazon FSx for Windows File Server. Using DataSync, you can quickly, easily, and securely migrate files and folders from HDFS on your Hadoop cluster to AWS Storage. You can also use DataSync to replicate data on your Hadoop cluster to AWS for business continuity, copy data to AWS to populate your data lakes, or transfer data between your cluster and AWS for analysis and processing. AWS DataSync is an online data transfer service that provides you with ... Read More

Feed: Planet PostgreSQL. A hierarchical query is built upon parent-child relationship, the relationship exist in the same table or view. The relationship dictates that each child can have one parent while a parent can have many children. Hierarchical query is a SQL query that handles data of hierarchical model i.e. an organisation structure where every employee has one manager and one manager who is also an employee can have many employees in his reporting, another example is a family tree where one person can only have one parent while a person can have many children. There are many examples where ... Read More

Feed: AWS Architecture Blog. Organizations across every industry and sector are looking to easily and cost-effectively process vast amounts of data. Amazon EMR offers a way to instantly provision as much or as little capacity as needed to perform data- intensive tasks. When launching Amazon EMR, the IPs of the primary (master) and core node are automatically assigned at the starting point. However, you may need to set up static private IPs for an Amazon EMR cluster to connect to systems within your on-premises data center. For example, if your on-premises data center has firewall policies set to allow access ... Read More

Feed: Planet MySQL; Author: Continuent; First off: Happy 15th birthday, Hadoop! It wasn’t an April Fool’s joke then, and it isn’t today either: Hadoop’s initial release was on the 1st of April 2006 :-) As most of you will know, Apaches Hadoop is a powerful and popular tool, which has been driving much of the Big Data movement over the years. It is generally understood to be a system that provides a (distributed) file system, which in turn stores data to be used by applications without knowing about the structure of the data. In other words, it’s a file system ... Read More

Feed: AWS Big Data Blog. This post is co-written by Mei Long at Upsolver.  Software as a service (SaaS) based applications are in demand today, and customers have growing need for adopting many of them in their use cases. As adoption grows, extracting data within these various SaaS applications and running analytics across them gets complicated. Although there are several common use cases, in this post, we focus on a solution for easily ingesting, transforming, and analyzing Google Analytics data using Amazon AppFlow and Upsolver. We walk you through the architecture and detailed steps to ingest data from Google Analytics ... Read More

Feed: AWS Big Data Blog. This is a guest blog post by Pat Reilly and Gary Houk at 1Strategy. In their own words, “1Strategy is an APN Premier Consulting Partner focusing exclusively on AWS solutions. 1Strategy consultants help businesses architect, migrate, and optimize their workloads on AWS, creating scalable, cost-effective, secure, and reliable solutions. 1Strategy holds the AWS DevOps, Migration, Data & Analytics, and Machine Learning Competencies, and is a member of the AWS Well-Architected and the AWS Public Sector partner programs.” Accurately reporting hours billed to each customer is critical to 1Strategy’s business operations. Each consultant is responsible for keeping records up to date. To promote ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Varvara Masalitina. How extensive must data sets be to be considered as big data? For some, a slightly larger Excel spreadsheet is “big data”. Fortunately, there are certain characteristics that allow us to describe big data pretty well. According to IBM, 90% of the data that exists worldwide today was created in the last 2 years alone. Big Data Analysis in Healthcare could be helpful in many ways. For example, such analyzes may also counteract the spread of diseases and optimize the needs-based supply of medicinal products and medical devices. In ... Read More