query

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Published By: Lucidworks     Published Date: Jun 24, 2015
Using content, context, and the crowd to build better search applications.
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search platform, search query, search technologies, big data, high-volume data, database advancements, it management, knowledge management, platforms, data management, intent, context, business technology, data center
    
Lucidworks
Published By: Lucidworks     Published Date: Aug 13, 2015
12 Must have query types for Ecommerce search.
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lucidworks, query, search, ecommerce, conversion rate, transactions
    
Lucidworks
Published By: AWS     Published Date: Aug 20, 2018
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 querying: ability to run a query across heterogeneous sources of data • Data consumption: support numerous types of analysis - ad-hoc exploration, predefined reporting/dashboards, predictive and advanced analytics
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AWS
Published By: AWS     Published Date: Nov 14, 2018
Amazon Redshift Spectrum—a single service that can be used in conjunction with other Amazon services and products, as well as external tools—is revolutionizing the way data is stored and queried, allowing for more complex analyses and better decision making. Spectrum allows users to query very large datasets on S3 without having to load them into Amazon Redshift. This helps address the Scalability Dilemma—with Spectrum, data storage can keep growing on S3 and still be processed. By utilizing its own compute power and memory, Spectrum handles the hard work that would normally be done by Amazon Redshift. With this service, users can now scale to accommodate larger amounts of data than the cluster would have been capable of processing with its own resources. This e-book aims to provide you with expert tips on how to use Amazon Redshift Spectrum to increase performance and potentially reduce the cost of your queries.
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AWS
Published By: AWS     Published Date: Nov 15, 2018
Businesses are generating staggering amounts of data—and extracting the most value from this information is paramount. Amazon Redshift provides organizations what they’re looking for: Affordability and flexibility combined with a powerful feature set. Download our solution overview covering some of the best practices on loading data and making the most of Amazon Redshift, including: • Loading data for faster results • Querying data for gaining actionable insights • Creating a schema to forgo complicated queries, saving time
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AWS
Published By: TIBCO Software     Published Date: Nov 18, 2019
Hunt Oil implemented the TIBCO Drilling Accelerator to connect all of its streaming data, increasing its development agility for new solution-driven projects. It can now access query-the-future insights to make better, faster decisions.
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TIBCO Software
Published By: MuleSoft     Published Date: Jul 06, 2017
In a microservice architecture a query or command will, by the very nature of the architecture’s functional decomposition, result in chains of API calls and messages across multiple microservice instances. Regardless of where a particular microservice sits in the chain, we must not lose sight of the user at the front end.
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microservice architecture, chains of api, user
    
MuleSoft
Published By: Infosys     Published Date: May 21, 2018
Our client was a large financial institution with millions of customers using a wide range of products. So when customers called the contact center, they could have any query out of a possibility set of 68 categories. They would want investment advice, or ask about their account. Or they would simply want to reset their PIN. The trouble was that the large range of support offered at the contact center meant long and complex phone calls, as customers often found their way through the interactive voice response (VR) system to the wrong agent. They had to be re-routed-often several times- which gave our clients two problems.
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customer, service, automation, voice, response
    
Infosys
Published By: TIBCO Software     Published Date: May 06, 2020
Delve into the FSI computing trends that will facilitate next-generation banking systems. From adaptive data science for real-time and predictive intelligence, to visual intelligence that helps humans effectively “query the future,” this report examines: How artificial intelligence is innovating the industry and how humans and machines can combine to achieve strategic enhancement How FSI leaders can make sense of millions of data points and turn them into meaningful insights, and how AI is making this easier than ever before How data analytics is transforming risk and fraud management Examples and poll results surrounding the good, the bad, and the ugly of AI
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TIBCO Software
Published By: IBM Software     Published Date: Feb 16, 2011
IBM Cognos Business Insight changes information delivery for all business users. Watch this recorded event which originally aired on February 15, 2011 to see how this unlimited BI workspace enables business users to create, personalize and interact with all of their information assets. Through demos and discussion, you'll learn how this revolutionary interface lets users: . Satisfy all their information needs in a single, highly intuitive workspace . Blur the lines between business authoring and analysis . Easily create net-new analysis . Enhance existing reports with information from a personal data source Discover how IBM Cognos Business Insight enables self-service BI for business users, while giving IT complete confidence that data will remain secure.
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ibm, cognos, business intelligence, query, analysis
    
IBM Software
Published 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.
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oracle, data warehousing, database, exadata, database machine, infrastructure, operation, operation costs, mobile, growth, payback, architecture, demands, enterprise applications, data management
    
Oracle Corporation
Published By: Vertica     Published Date: Aug 15, 2010
If you are responsible for BI (Business Intelligence) in your organization, there are three questions you should ask yourself: - Are there applications in my organization for combining operational processes with analytical insight that we can't deploy because of performance and capacity constraints with our existing BI environment?
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business intelligence, vertica, aggregated data, olap, rolap, sql, query, data warehouse, oltp
    
Vertica
Published 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.
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vertica, ec2, cdr, elastic, saas, cloud computing, data management, ad-hoc, business intelligence, cloud, cloudbased applications, analytic, saas, dbms, mpp
    
Vertica
Published 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.
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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
Published By: Vertica     Published Date: Feb 23, 2010
Ovum takes a deep-dive technology audit of Vertica's Analytic Database that is designed specifically for storing and querying large datasets.
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ovum, vertica, analytical databases, dbms, technology audit, mpp, rdbms
    
Vertica
Published By: Microsoft Visual Studio Team System     Published Date: Apr 29, 2009
Today’s economic climate presents challenges in achieving business differentiation.  Investing in innovation during an economic downturn may seem counterintuitive at first, but it can help companies pull ahead of the competition by displaying a show of strength in a climate of weakness.  The Microsoft® Application Platform can help organizations do more with less, enabling them to more quickly, efficiently, and cost-effectively deliver custom solutions that provide strong business value.
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microsoft, vsts, microsoft vsts, affordable innovation, application platform, custom solutions, application life-cycle management, rich development platform, designer-developer collaboration, application life-cycle management, alm, microsoft visual studio team system, version control, work assignment, tracking, builds, testing, shaw group, microsoft .net framework, ch2m hill
    
Microsoft Visual Studio Team System
Published By: SAP     Published Date: Nov 22, 2011
Newell Rubbermaid sought to reduce time and effort to access information. They wanted to simplify access to global sales data and financial metrics. They also wanted to accelerate report query performance and improve decision making. SAP was selected because they are a comprehensive software program from a single vendor. Read to find out more.
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sap, newell rubbermaid, data access, information management, technology, software, whitepaper, sales data, data management
    
SAP
Published By: IBM Corporation     Published Date: Sep 20, 2010
The IBM WebSphere eXtreme Scale product provides a high-performance, scalable cache framework. This chapter is an introduction to WebSphere eXtreme Scale.
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ibm caching and cloud, websphere extreme scale, scalable cache framework, query engine, network deployment
    
IBM Corporation
Published By: Dyn     Published Date: Jan 14, 2015
Whether you are a seasoned expert or just beginning to look into how DNS can improve the performance of your businesses’ services, let this quick guide to DNS terminology be your comprehensive one-stop shop.
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dns, domain name system, ip addresses, terminology, denial of service, query, cache, dns client
    
Dyn
Published By: Lucidworks     Published Date: Feb 12, 2015
Search is all your data, all the time, at scale. Read this white paper today and learn about Lucidworks Fusion, the next-generation search platform built on Apache Solr.
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search platform, search query, search technologies, big data, high-volume data, database advancements, it management, knowledge management, platforms, data management
    
Lucidworks
Published By: IBM     Published Date: Apr 16, 2014
DB2 BLU By Other Databases And More Wayne Kernochan, Infostructure Associates September 2013 Analyst Wayne Kernochan of Infostructure Associates documents the analytics speed-up capability of DB2 with BLU Acceleration and explains how DB2 BLU compares with competitors. His conclusion after reviewing test results? ""Not surprisingly, the results verified a consistent, roughly order-of-magnitude speedup using BLU Acceleration, against DB2 pre-BLU and against some obvious competitors ..."". What is his advice to readers about DB2 BLU? ""... if your upcoming database needs are analytics/BI/reporting-related, why would you not use BLU Acceleration for them? In other words, what are you waiting for?
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ibm, ibm db2, blu acceleration, acceleration, database solution, workload, configuration, testing, database management, query
    
IBM
Published By: IBM     Published Date: May 02, 2014
This paper introduces you to Big SQL, answering many of the common questions that relational database management system (DBMS) users have about this IBM technology.
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ibm, big data, big sql, querying data, database management technology, apache hadoop, data administrators, infosphere, biginsights, industry-standard sql, management systems, database metadata, application programming interfaces, api, it management
    
IBM
Published By: IBM     Published Date: May 02, 2014
These traditional analytical systems are often based on a classic pattern where data from multiple operational systems is captured, cleaned, transformed and integrated before loading it into a data warehouse.
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ibm, big data platform, architecting big data, analytics, intelligent business strategies, data complexity, data types, workload growth, workload complexity, big data analytic applications, operational decisions, multi-structured data, querying data, scalable data management, analytical ecosystem, hadoop solutions, it management, data management, data center
    
IBM
Published By: IBM     Published Date: Mar 05, 2014
If you specialize in relational database management technology, you’ve probably heard a lot about “big data” and the open source Apache Hadoop project. Perhaps you’ve also heard about IBM’s new Big SQL technology, which enables IBM® InfoSphere® BigInsights™ users to query Hadoop data using industry-standard SQL. Curious? This paper introduces you to Big SQL, answering many of the common questions that relational database management system (DBMS) users have about this IBM technology.
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ibm, big data, ibm big sql, sql, database management, database management technology, software, tables, queries, data platform, big sql architecture, programming language, relational database management system, rdbms
    
IBM
Published By: Cisco     Published Date: Dec 21, 2016
Cisco commissioned Forrester Consulting to conduct a Total Economic Impact™ (TEI) study and examine the potential return on investment (ROI) enterprises may realize by deploying the Cisco Data Virtualization solution. The purpose of this study is to provide readers with a framework to evaluate the potential financial impact of investing in the Cisco Data Virtualization solution for their organizations. To better understand the benefits, costs, and risks associated with Cisco Data Virtualization, Forrester gathered data through interviews with customers who had multiple years’ experience using the solution. All organizations used Cisco Data Virtualization as a single data virtualization integration platform to query and access data across their network. This includes accessing data that resides on the cloud and on-premises across various sources and systems.
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Cisco
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