data warehousing

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By: Amazon Web Services     Published Date: Sep 05, 2018
Just as Amazon Web Services (AWS) has transformed IT infrastructure to something that can be delivered on demand, scalably, quickly, and cost-effectively, Amazon Redshift is doing the same for data warehousing and big data analytics. Redshift offers a massively parallel columnar data store that can be spun up in just a few minutes to deal with billions of rows of data at a cost of just a few cents an hour. It’s designed for speed and ease of use — but to realize all of its potential benefits, organizations still have to configure Redshift for the demands of their particular applications. Whether you’ve been using Redshift for a while, have just implemented it, or are still evaluating it as one of many cloud-based data warehouse and business analytics technology options, your organization needs to understand how to configure it to ensure it delivers the right balance of performance, cost, and scalability for your particular usage scenarios. Since starting to work with this technolog
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     Amazon Web Services
By: InfoSys     Published Date: Apr 08, 2013
Big Data: Too Much information, Too Little illumination; As enterprises go about their Big Data adoption journey, there are many pressing questions at hand. What are the Big Data capabilities they desire?
Tags : big data, business intelligence, analytics, data warehousing, infosys
     InfoSys
By: AWS     Published Date: Jun 20, 2018
Data and analytics have become an indispensable part of gaining and keeping a competitive edge. But many legacy data warehouses introduce a new challenge for organizations trying to manage large data sets: only a fraction of their data is ever made available for analysis. We call this the “dark data” problem: companies know there is value in the data they collected, but their existing data warehouse is too complex, too slow, and just too expensive to use. A modern data warehouse is designed to support rapid data growth and interactive analytics over a variety of relational, non-relational, and streaming data types leveraging a single, easy-to-use interface. It provides a common architectural platform for leveraging new big data technologies to existing data warehouse methods, thereby enabling organizations to derive deeper business insights. Key elements of a modern data warehouse: • Data ingestion: take advantage of relational, non-relational, and streaming data sources • Federated q
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     AWS
By: MemSQL     Published Date: Nov 15, 2017
Data Warehousing in the Age of Artificial Intelligence This Ebook will guide you through building and deploying scalable, production-ready artificial-intelligence applications. Inside, you will find several artificial intelligence use cases, code samples to help you get started, and an outline of high throughput data processing architectures necessary for developing AI applications.
Tags : data warehousing, artificial intelligence, data piplelines
     MemSQL
By: Snowflake     Published Date: Jan 25, 2018
"The forces that gave rise to data warehousing in the 1980s are just as important today. However, history reveals the benefits and drawbacks of the traditional data warehouse and how it falls short. This eBook explains how data warehousing has been re-thought and reborn in the cloud for the modern, data-driven organization."
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     Snowflake
By: Snowflake     Published Date: Jan 25, 2018
If you’re considering your first or next data warehouse, this complimentary eBook explains the cloud data warehouse and how it compares to other data platforms. Download Cloud Data warehouse for Dummies and learn how to get the most out of your data. Highlights include: What a cloud data warehouse is Trends that brought about the adoption of cloud data warehousing How the cloud data warehouse compares to traditional and noSQL offerings How to evaluate different cloud data warehouse solutions Tips for choosing a cloud data warehouse
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     Snowflake
By: Snowflake     Published Date: Jan 25, 2018
Compared with implementing and managing Hadoop (a traditional on-premises data warehouse) a data warehouse built for the cloud can deliver a multitude of unique benefits. The question is, can enterprises get the processing potential of Hadoop and the best of traditional data warehousing, and still benefit from related emerging technologies? Read this eBook to see how modern cloud data warehousing presents a dramatically simpler but more power approach than both Hadoop and traditional on-premises or “cloud-washed” data warehouse solutions.
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     Snowflake
By: Tidal Software     Published Date: Sep 03, 2008
Businesses can gain greater value from their BI investment by improving the way in which data flows to the BI system are managed. Many problems result when the ETL process is handled by a patchwork of scripting, custom coding, and various built-in schedulers that are part of existing ETL solutions, because these systems do not provide end-to-end execution, monitoring, and control of the ETL process.
Tags : business intelligence, data warehousing, data management, data integration, etl, extract–transform-load, bi operations, bi management, informatica, cognos, ibm datastage, sas, business objects, crystal enterprise, tidal, tidal software
     Tidal Software
By: Oracle Corporation     Published Date: May 11, 2012
Download this white paper to learn about the market-leading eCommerce solution and how improved performance can result in increased conversion rates and higher revenue.
Tags : oracle, data warehousing, database, exadata, database machine, infrastructure, operation, operation costs, mobile, growth, payback, architecture, demands, enterprise applications, data management
     Oracle Corporation
By: Oracle Corporation     Published Date: May 11, 2012
By using the Oracle Big Data Appliance with Oracle Exadata, enterprises can acquire, organize and analyze all their data to make the most informed decisions. Read this whitepaper to learn about all of the key benefits of Oracle Big Data Appliance.
Tags : oracle, data warehousing, database, exadata, database machine, infrastructure, operation, operation costs, mobile, growth, payback, architecture, demands, enterprise applications, data management
     Oracle Corporation
By: Oracle Corporation     Published Date: May 11, 2012
This whitepaper provides an overview of Oracle's capabilities for data warehousing and discusses the key features and technologies by which Oracle-based business intelligence and data warehouse systems integrate information and scale to analyze data.
Tags : oracle, data warehousing, database, exadata, database machine, infrastructure, operation, operation costs, mobile, growth, payback, architecture, demands, enterprise applications, data management
     Oracle Corporation
By: Oracle Corporation     Published Date: May 11, 2012
Exadata Hybrid Columnar Compression is an enabling technology for two new Oracle Exadata Storage Server features: Warehouse Compression and Archive Compression. We will discuss each of these features in detail later in this paper, but first let's explore Exadata Hybrid Columnar Compression - the next generation in compression technology.
Tags : oracle, data warehousing, database, exadata, database machine, infrastructure, operation, operation costs, mobile, growth, payback, architecture, demands, enterprise applications, data management
     Oracle Corporation
By: Oracle Corporation     Published Date: May 11, 2012
This paper focuses on configuring Oracle GoldenGate to run on Sun Oracle Database Machine. Read this whitepaper to learn about all of the key features and benefits of this innovative solution.
Tags : oracle, data warehousing, database, exadata, database machine, infrastructure, operation, operation costs, mobile, growth, payback, architecture, demands, enterprise applications, data management
     Oracle Corporation
By: Oracle Corporation     Published Date: May 11, 2012
Exadata is Oracle's fastest growing new product. Much of the growth of Exadata has come at the expense of specialized DW appliance vendors. Take a look at the competitive comparisons these vendors have published and find out why they fall short.
Tags : oracle, data warehousing, database, exadata, database machine, infrastructure, operation, operation costs, mobile, growth, payback, architecture, demands, enterprise applications, data management
     Oracle Corporation
By: Oracle Corporation     Published Date: May 11, 2012
This white paper presents two case studies that illustrate how Oracle Exadata increased storage capacity for data warehouses by 150%, reduced operational and database running costs by 50%, and on average improved database query performance by 10x.
Tags : oracle, data warehousing, database, exadata, database machine, infrastructure, operation, operation costs, mobile, growth, payback, architecture, demands, enterprise applications, data management
     Oracle Corporation
By: Oracle     Published Date: May 11, 2012
This report explains how the migration to the Exadata platform required no changes to system interfaces and allowed Turkcell to consolidate hardware and create a highly scalable framework to handle future growth.
Tags : oracle, data warehousing, database, exadata, database machine, infrastructure, operation, operation costs, mobile, growth, payback, architecture, demands, enterprise applications, data management
     Oracle
By: Oracle     Published Date: May 11, 2012
This TDWI Checklist Report makes a case for private database clouds, especially as a platform for consolidated BI and DW applications.
Tags : oracle, data warehousing, database, exadata, database machine, infrastructure, operation, operation costs, mobile, growth, payback, architecture, demands, enterprise applications, data management
     Oracle
By: Oracle     Published Date: May 11, 2012
This paper reviews Oracle GoldenGate's capabilities and how it can be used to achieve zero downtime migration and consolidation to Oracle Exadata.
Tags : oracle, data warehousing, database, exadata, database machine, infrastructure, operation, operation costs, mobile, growth, payback, architecture, demands, enterprise applications, data management
     Oracle
By: Vertica     Published Date: Dec 01, 2008
Cloud computing is ushering in a new era of analytic data management for business intelligence (BI) by enabling organizations to analyze terabytes of data faster and more economically than ever before. The key change: cloud database software is provisioned within minutes, without data center overhead, and it's licensed on an on-demand basis.
Tags : vertica, ec2, elastic, cloud computing, ad-hoc, business intelligence, cloud, cloudbased applications, analytic, saas, dbms, mpp
     Vertica
By: Vertica     Published Date: Feb 20, 2010
For over a decade, IT organizations have been plagued by high data warehousing costs, with millions of dollars spent annually on specialized, high-end hardware and DBA personnel overhead for performance tuning. The root cause: using data warehouse database management (DBMS) software, like Oracle and SQLServer that were designed 20-30 years ago to handle write-intensive OLTP workloads, not query-intensive analytic workloads.
Tags : vertica, ec2, cdr, elastic, saas, cloud computing, data management, ad-hoc, business intelligence, cloud, cloudbased applications, analytic, saas, dbms, mpp
     Vertica
By: Vertica     Published Date: Mar 15, 2010
Revenue assurance analysts at a top-tier US-based carrier studied this every day. Primarily focused on detecting fraud, revenue sharing contract violations and incomplete revenue collections, they had the need to query and analyze call detail record (CDR) databases that grow by millions of new CDRs every day.
Tags : vertica, ec2, cdr, elastic, saas, dbms, sql, acid transactions, jdbc, odbc, etl, cloud computing, data management, ad-hoc, business intelligence, cloud, cloudbased applications, analytic, saas, dbms
     Vertica
By: Vertica     Published Date: Jan 19, 2010
Pink OTC Market Inc. is the third largest U.S. equity trading marketing place. Learn how Pink OTC built a highly available and highly reliable (no downtime in a year of production use) data warehouse using Vertica's Analytic DBMS that cost-effectively stores billions of records and scales easily by simply adding CPUs without incurring additional licensing fees.
Tags : pink, adr, data warehousing, vertica, dbms, database, analytical applications
     Vertica
By: Vertica     Published Date: Dec 09, 2008
BlueCrest Capital Management is a leading European hedge fund, with $15B in assets-under-management. Learn how BlueCrest uses Vertica Analytic DBMS to obtain real-time analysis while simultaneously loading vast amounts of new market data.
Tags : vertica, data management, data warehousing, dbms, data mining, data source, data, security, business intelligence
     Vertica
By: Trillium Software     Published Date: May 19, 2011
This report provides recommendations for improving the quality of operational data, which in turn contributes to an organization's drive toward operational excellence.
Tags : trillium software, tdwi checklist report, philip russom, operational data quality, opdq, analytic data, the data warehousing institute, enterprise data quality
     Trillium Software
By: Enterprise Management Associates     Published Date: Aug 25, 2015
This webinar talks about various issues organization's deal with on a daily basis and how Hadoop can offer solutions.
Tags : ema, hadoop, big data analytics, predictive insights, data lake architecture, hadoop adoption, enterprise management, business intelligence, data warehousing, data integration, data visualization, data analyst
     Enterprise Management Associates
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