Tag: Hadoop

Feed: AWS Partner Network (APN) Blog. Author: Suhrid Saran. By Suhrid Saran, Solution Architect, Data and Analytics – VirtusaBy Hussain Shabbir, AWS CoE Lead and Sr. Director – VirtusaBy Néstor Gándara, Sr. Global Partner Solutions Architect – AWSBy Dipankar Ghosal, Sr. Principal Data Architect – AWS Virtusa The global Hadoop-as-a-service market size is growing at a CAGR of ~39% with an expected market projection of $75 billion by 2026. While this is still a growing market, it leaves out many small, mid, and large-scale organizational players due to the inherent pains of migration. Virtusa Corporation is an AWS Premier Tier ... Read More

Feed: SingleStore Blog. Author: . Elephants can’t jump, trot or gallop. But together, they can stampede — which is exactly what enterprises are doing to move away from Hadoop. This blog looks at how three industry leaders have embraced SingleStore as the successor to Hadoop, and the game-changing benefits they’ve received. Read on to learn how Kellogg’s, Comcast and a Tier 1 wealth management firm successfully “augmented or retired the elephant.”Reducing a 24-hour ETL process to 43 minutesFrom cereal to potato chips, Kellogg’s puts some of the world’s most popular packaged foods on grocery shelves every day. But its supply ... Read More

Feed: SingleStore Blog. Author: . It doesn’t take more than a quick Google search to see why enterprises around the world are retiring Hadoop; “decline of Hadoop” produces nearly a half million points of reference. If you’re considering Hadoop exit strategies and alternatives, SingleStore is one of the best options — read on to learn about the top five reasons why.SingleStore is a fast, distributed, highly scalable SQL data platform designed to power today’s data-intensive applications. It delivers maximum performance for both transactional (OLTP) and analytical (OLAP) workloads in a single unified engine to drive maximum performance for your modern ... Read More

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