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Appliance Power: Crunching Data Warehousing Workloads Faster and Cheaper than Ever
Appliances are taking up permanent residence in the data warehouse (DW). The reason: they are preconfigured, support quick deployment, and accelerate online

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Outsourcing, IT Infrastructure
The IT Infrastructure Outsourcing knowledge base focuses on the selection of companies who provide outsource services in the areas of information technology (IT) infrastructure. The typical type...
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Documents related to » hitachi lg data storage inc


The Fast Path to Big Data
Today, most people acknowledge that big data is more than a fad and is a proven model for leveraging existing information sources to make smarter, more

hitachi lg data storage inc  Big Data,Big Data architecture,Big Data challenges,Big Data system,Big Data technology Read More
Data Quality: Cost or Profit?
Data quality has direct consequences on a company's bottom-line and its customer relationship management (CRM) strategy. Looking beyond general approaches and

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Backing up Data in the Private Cloud: Meeting the Challenges of Remote Data Protection - Requirements and Best Practices
This white paper describes some of the common challenges associated with protecting data on laptops and at home and remote offices and portrays proven solutions

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Big Data: Operationalizing the Buzz
Integrating big data initiatives into the fabric of everyday business operations is growing in importance. The types of projects being implemented

hitachi lg data storage inc  big data, operational analytics, big data integration, big data strategy, analytical data platforms. hybrid data ecosystem Read More
The Value of Big Data
As the use of big data grows, the need for data management will also grow. Many organizations already struggle to manage existing data. Big data adds complexity

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Data Visualization: When Data Speaks Business
For many organizations, data visualization is a practice that involves not only specific tools but also key techniques, procedures, and rules. The objective is

hitachi lg data storage inc  data visualization, IBM Cognos Business Intelligence, business intelligence, data delivery, data visualization best practices Read More
Meet PCI DSS Compliance Requirements for Test Data with Data Masking
Whether you’re working toward your first or your next payment card industry (PCI) data security standard (DSS) audit, you know compliance is measured on a

hitachi lg data storage inc   Read More
Best Practices for Architecting Storage in Virtualized Environments
Understanding the latest developments in storage technology is crucial when planning a virtual server storage architecture, and choosing the wrong storage

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Big Data, Little Data, and Everything in Between—IBM SPSS Solutions Help You Bring Analytics to Everyone
Regardless of the type or scale of business data your users need to harness and analyze, they need a straightforward, visual solution that is easy to use on the

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New Data Protection Strategies
One of the greatest challenges facing organizations is the protection of corporate data. The issues complicating data protection are compounded by increased

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New Life for Dead Storage Technologies: Consumer-driven Optical Storage in the Data Center
While optical technology has become the default removable storage medium on the desktop (CD and DVD), in enterprise storage the evidence of failure is

hitachi lg data storage inc   Read More
Data Masking: Strengthening Data Privacy and Security
Many business activities require access to real production data, but there are just as many that don’t. Data masking secures enterprise data by eliminating

hitachi lg data storage inc   Read More
Big Data Analytics: Profiling the Use of Analytical Platforms in User Organizations
While terabytes used to be synonymous with big data warehouses, now it’s petabytes, and the rate of growth in data volumes continues to escalate as

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Scalable Data Quality: A Seven-step Plan for Any Size Organization
Every record that fails to meet standards of quality can lead to lost revenue or unnecessary costs. A well-executed data quality initiative isn’t difficult, but

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