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29AugAugust 29, 2017

Data Ingestion phase for migrating enterprise data into Hadoop Data Lake

The Big Data solutions helps to achieve valuable information to iron out the accurate strategic business decision. Exponential growth of digitalization, social media, telecommunication etc. are fueling enormous data generation everywhere. Prior to process of huge volume of data, we should have efficient data storage mechanism in a distributed manner to hold any form of data starting from structured to unstructured. Hadoop distributed file systems (HDFS) can be leveraged efficiently as data lake by installing on multi node cluster....

By Gautam GoswamiData Engineering, Data IngestionApache software foundation, Apache Sqoop, ata storage mechanism, ATG database, ATG database schema, cloud service providers, collecting Twitter streaming data, Couchbase, Data ingestion, Data Ingestion phase for migrating enterprise data into Hadoop Data Lake, Data Lake, data storage mechanism, DB2, Digitization, distributed storage, efficient data storage mechanism, ELT, enterprise data, export data from Kafka topic to HDFS, fault-tolerant, Flume, Hadoop, HADOOP Cluster, Hadoop Data Lake, Hadoop distributed file systems, Hadoop multi node cluster, HDFS, Hive, huge data reservoirs, huge volume of data, Ingestion, JDBC connector, JDBC protocol, Kafka, Kafka HDFS connector, Kafka to HDFS, Mainframe, mainframe dataset to HDFS, MapReduce, MapReduce distributed computing, migrating enterprise data, moving large amount of streaming data into HDFS, multi node cluster, multiple delimited text files, MySQL, Netezza, NoSql DB, NoSql Stores, Oracle, Oracle 11g Enterprise Edition, Oracle ATG Platform, parallel import process, parallel processing, pluggable mechanism, PostgreSQL, read the messages from Kafka topic, SQLServer, Sqoop, Sqoop installation, Strom, Using Kafka HDFS connectorComments Off

Research Papers & Publications

1. Effective image analysis on twitter streaming using Hadoop Eco System on Amazon Web Service EC2 (Download) We have published a research paper on Hadoop and Ecosystem using real-time case study, in “International Journal of Advanced Research in Computer Science and Software Engineering” ISSN:2277 128X Title: Effective Image Analysis on Twitter Streaming using Hadoop Eco System on Amazon Web Service EC2 Paper ID: V5I9-0359 URL: Effective image analysis on twitter streaming using Hadoop Eco System on Amazon Web Service EC2 Abstract: Twitter is becoming the...

Irisidea’s Competencies

The technical leadership team is the core strength of Irisidea Technologies. Irisidea's business and technical experts not only work closely with clients to provide cost effective, robust solutions to their business needs, but also dedicate a part of their time regularly in research work and keeping themselves on the edge of technology. Each individual of this team is not only an expert in his domain, but he also strives to expand his knowledge horizon by learning new technologies that...

By Kislay Komal.NET Framework 3.5/4.0, 2008, Ability to quickly learn and get expertise on new domains & technologies, Ability to Work in Harmony with Co-Workers, ADO.NET, AI Application Maintenance, AI Deployment, AI Deployment Environment Setup, AI Development Environment Setup, AI Implementation, AI Support, AI Testing, AJAX, Ambari, Apache Ranger, Application Platforms/Tools, Artificial Intelligence, ASP.NET, ATG Commerce Designing Tools, C#.NET, CMS Tools, Css, Curl, Databases, Deep learning, Demandware, Determination and Persistence, Development and Maintenance, Development Platforms, Development Tools, DHTML, DOM, Dreamweaver CS4, Drupal E-Commerce Platforms, Eclipse, endeca, Enthusiastic & passionate team, Flash CS4, Flexibility to adjust as per the situations project demand, Flume, Frameworks, Hadoop and its ecosystem, Hibernate, Hive, HTML, IBM DB/2, Illustrator Data Bases, j2ee, Java Expertise, Java Scripts, JavaScript, JBoss Java Technologies : Java, Joomla, JProbe, JProfiler, JQuery, JSP, Kafka, Languages, Linux, machine learning, magento, Microsoft Office SharePoint Server (MOSS) 2007, Microsoft SQL Server, Microsoft Technologies Expertise, MS Exchange, MS Office, MS SQL Server 2005/2008, MS-SQL Server, Multi Nodes Hadoop Cluster Management, MySQL, MySQL Profiler, NET, Net Beans, Nifi, OfBiz, Oracle, Oracle Cloud Commerce, Oracle Commerce, Oracle Development Platforms, Oracle-ATG, Photoshop CS4, PHP, Predictive Analytics, ROR, SalesForce Commerce Cloud, SharePoint 2010, SOAP, Social Data Analytics, Spring, Sqoop, Strong communication skills, Struts, Tomcat, Visual Studio 2008/2010, Web Services, Web/Application Servers, website design, Windows, Windows Server 2003, WordPress, WSS 3.0, XHTML, XML, Zen cart, ZookeeperComments Off

Tag - Flume

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