What is Data Obfuscation?
Data obfuscation is a process to obscure the meaning of data. The most common method of data obfuscation is data masking. Encryption and tokenization are other methods.
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How DevOps Teams Organize to Deliver REST APIs?
DevOps teams using microservices architecture are usually organized around business capabilities and priorities, as are the microservices themselves.
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5 Data Integration Methods and Strategies
There are 5 data integration methods that accomplish slightly different goals, from manual data integration to common storage integration and more.
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10 Best Practices for Successful Data Quality
Following data quality best practices can increase the value you derive from data. Good data quality is essential to gain insight and make the best business decisions.
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What is a Data Source?
A data source is anything which produces digital information, from the perspective of systems which consume this information.
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The Complete Guide to Selecting Cloud Storage for Your Business
A brief, easy-to-understand guide to finding the best cloud storage for your business, no matter what the size.
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What is Data as a Service?
Data-as-a-Service is a data management strategy that uses the cloud to deliver data storage, processing and/or analytics services via a network connection.
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What is Prescriptive Analytics?
Prescriptive analytics analyzes data and provides instant recommendations on how to optimize business practices to suit multiple predicted outcomes.
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How Cloud Orchestration Solves Automation Growing Pains
Cloud orchestration is the use of code and configuration files to manage the core infrastructure and workflows across a cloud environment.
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Cloud Data Management: A Foundational Understanding
Cloud data management is the practice of storing data on an offsite server that is owned by a vendor who specializes in this type of data-hosting service.
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Apache ServiceMix: The True Apache ESB
Apache ServiceMix is an open source ESB created using Java Business Integration (JBI) that features the OSGi framework and incorporates Apache Camel.
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Structured vs. Unstructured Data: A Complete Guide
The differences between structured and unstructured data can be summed up in data format, data storage, data type, data schema, and the data’s intended user.
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7 Ways Big Data is Changing E-commerce
Big data analytics provides elevated shopping experiences, secure online payment, optimized pricing, and dynamic customer service to increase overall sales.
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Cloud vs Data Center: Which is Better for Your Business?
Data centers collect hardware and ancillary devices to host networks, applications, and data. Cloud data centers are off-premises, managed by third-parties.
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Understanding the ETL Architecture Framework
Get a definition of ETL architecture, with tips on implementing an automated ETL solution and overcoming common ETL challenges.
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What is a Legacy System?
A legacy system is outdated computing software or hardware that is still in use, but its older technology won’t allow it to interact with newer systems.
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CRM Database: What it is and How to Make the Most of Yours
A CRM database is a resource containing all client information collected, governed, transformed, and shared across an organization.
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7 Real-world Wins from Companies Using Business Intelligence
See how 7 real-world companies — from healthcare to finance to retail — are putting modern BI solutions to work for their organizations.
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Data Gravity: What it Means for Your Data
Learn more about data gravity, and why it is a common occurence in many enterprises.
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Big Data and Privacy: What Companies Need to Know to Ensure Trusted Data
Find out why privacy is an increasingly common concern across organizations that use big data to their advantage.
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Business Intelligence vs. Data Mining: Empowering Data-driven Decisions
BI and data mining work best when used in tandem, enabling businesses to make data-driven decisions that improve internal and external performance.
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Overcoming Healthcare’s Data Integration Challenges
Learn about the myriad of challenges healthcare data present, including: compliance concerns, exponentially growing datasets, and lack of data standardization.
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Cloudera Data Ingestion: Processing Data with Hadoop
Learn about how data ingestion works, and its importance to Hadoop.
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Data Warehouse Testing (vs ETL Testing)
Learn what data warehouse testing is, and how it’s essential for decision-making in organizations.
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Data Lake Architecture Best Practices
The architecture of a data lake refers to the features that are included within a data lake to make it easier to work with the data.
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