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Williamson - Getting a Big Data Job For Dummies

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Williamson Getting a Big Data Job For Dummies
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Hone your analytic talents and become part of the next big thing

Getting a Big Data Job For Dummies is the ultimate guide to landing a position in one of the fastest-growing fields in the modern economy. Learn exactly what big data means, why its so important across all industries, and how you can obtain one of the most sought-after skill sets of the decade. This book walks you through the process of identifying your ideal big data job, shaping the perfect resume, and nailing the interview, all in one easy-to-read guide.

Companies from all industries, including finance, technology, medicine, and defense, are harnessing massive amounts of data to reap a competitive advantage. The demand for big data professionals is growing every year, and experts forecast an estimated 1.9 million additional U.S. jobs in big data by 2015. Whether your niche is developing the technology, handling the data, or analyzing the results, turning your attention to a career in big data...

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Getting a Big Data Job For Dummies Published by John Wiley Sons Inc 111 - photo 1

Getting a Big Data Job For Dummies

Published by: John Wiley & Sons, Inc., 111 River Street, Hoboken, NJ 07030-5774, www.wiley.com

Copyright 2015 by John Wiley & Sons, Inc., Hoboken, New Jersey

Published simultaneously in Canada

No part of this publication may be reproduced, stored in a retrieval system or transmitted in any form or by any means, electronic, mechanical, photocopying, recording, scanning or otherwise, except as permitted under Sections 107 or 108 of the 1976 United States Copyright Act, without the prior written permission of the Publisher. Requests to the Publisher for permission should be addressed to the Permissions Department, John Wiley & Sons, Inc., 111 River Street, Hoboken, NJ 07030, (201) 748-6011, fax (201) 748-6008, or online at http://www.wiley.com/go/permissions .

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Library of Congress Control Number: 2014935518

ISBN 978-1-118-90340-7 (pbk); ISBN 978-1-118-90383-4 (ebk); ISBN 978-1-118-90384-1 (ebk)

Manufactured in the United States of America

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Appendix A

Resources

Staying current on tools and trends is always a challenge in emerging technologies. Theres good news though. An abundance of resources, vendor research, webcasts, and standards groups (groups that promote best practices) await you online, where you can learn new tools and keep up on the latest vendor news and offerings.

Vendor Websites

With more than 1,000 companies that have big data products or services, I cant list them all. Instead, the following list includes the major players in the big data space:

  • Amazon Web Services ( http://aws.amazon.com/big-data ): Amazon Web Services offers a set of cloud services around big data storage and computing resources.
  • Big Data University ( www.bigdatauniversity.com ): Big Data University is an online community dedicated to educating people on big data. Its funded by IBM and is free.
  • Birst ( www.birst.com ): Birst is a cloud-based business intelligence and analytics tool.
  • Cloudera ( www.cloudera.com ): Cloudera provides software, training, and support for the Apache Hadoop framework.
  • Couchbase ( http://couchbase.com ): Couchbase is a NoSQL document database for interactive web applications.
  • EMC ( http://bigdatablog.emc.com ): EMC is a hardware vendor providing storage for on-site big data analytics processing.
  • Google ().
  • Hortonworks ( http://hortonworks.com ): Hortonworks is a framework for using open-source Hadoop in the enterprise.
  • IBM Netezza ( www.netezza.com ): Netezza is an on-site data warehouse appliance.
  • Informatica ( www.informatica.com/bigdata ): Informatica provides tools for data integration and migration. Its big data offerings help couple traditional databases and NoSQL data stores to make data integration easy for big data processing.
  • Jaspersoft ( http://jaspersoft.com ): Jaspersoft provides open-source analytics tools for data visualization from the dashboard.
  • MapR ( http://mapr.com ): MapR is a complete distribution system for Apache Hadoop.
  • Microsoft ( www.microsoft.com/enterprise/it-trends/big-data ): Microsoft uses its Azure cloud platform and Azure HDInsight products for analytics.
  • MicroStrategy ( www.microstrategy.com ): MicroStrategy delivers business intelligence and analytics tools to large and medium-size businesses.
  • MongoDB ( www.mongodb.com ): This is an open-source document-centric NoSQL database. Its the most popular NoSQL database today.
  • Oracle ( www.oracle.com/us/technologies/big-data ): Oracle is the creator of the worlds most widely used relational database management system (RDMS). It also creates in-memory database systems and manages the open-source MySQL Database Management System.
  • Pentaho ( www.pentaho.com ): This is an open-source business analytics tool.
  • Predictive Analytics Today ( www.predictiveanalyticstoday.com/top-30-software-for-text-analysis-text-mining-text-analytics ): This is a curated software list for text analytics.
  • Qlik ( www.qlik.com ): Qlik is business intelligence and visualization software.
  • RapidMiner ( www.rapidminder.com ): RapidMiner is an open-source analytics modeling software application. Its used for statistical analysis.
  • SAP ( www.sap.com/solution/big-data ): SAP is one of the worlds largest enterprise software firms. It provides business intelligence tools, cloud services, SAP HANA, and in-memory database systems for big data analytics.
  • SAS ( www.sas.com/en_us/insights/big-data.html ): The worlds largest privately held software company, SAS provides the premier statistical analytics software package.
  • Splunk ( www.splunk.com ): Splunk is a big data analytics tool used for the analysis and collection of machine data.
  • Spotfire ( http://spotfire.tibco.com ): Spotfire, now owned by Tibco, provides business intelligence and visualization tools.
  • Sumo Logic ( www.sumologic.com ): Sumo Logic is a cloud-based analytics engine that specializes in log file analysis.
  • Tableau Software (
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