Data Modeling and NoSQL: Innovation and Flexibility
Hackolade offers an array of Data Modeling tools designed for various NoSQL databases. Their software is user-friendly, while providing powerful graphics. These features, combined with flexible HTML model documentation, provide a visual blueprint for each application. Hackolade’s output is similar to a CAD printout produced by a draftsman or architect. The blueprint promotes discussion. Pascal […]
Read More →A Brief History of Non-Relational Databases
First came relational databases, which provide a useful comparison for understanding non-relational databases. Invented by Edgar F. Codd in 1970, the relational database arranges data into different rows and columns by associating a specific key for each row. Almost all relational database systems use Structured Query Language (SQL) and are remarkably complex. They are traditionally […]
Read More →Data Lake vs. Data Swamp: Leveraging Enterprise Data
One organization’s Data Lake may very well be someone else’s Data Swamp. The difference lies in how data is curated. What does this mean? For starters, a Data Lake describes where vast amount of data of various types and structures can be ingested, stored, assessed, and analyzed. Specifically, Data Lakes make it easy for Data […]
Read More →Graph Databases Take on New Challenges
The Panama Papers. The Paradise Papers. Human trafficking. Russian social media trolls. Self-driving cars. If you’re wondering what all the above have in common, the answer is: Graph Databases. Their ability to store data connections in the service of gaining a better understanding of relationships across nodes has been recognized for use cases such as […]
Read More →Artificial Intelligence Takes on Large-Scale Database Management
Artificial Intelligence (AI) is having a clear impact on databases. Among the major players, Microsoft is applying AI to continuously monitor Azure SQL database workload patterns and apply automatic tuning when it recognizes opportunities to improve the database performance, for example. And Oracle has unveiled the Oracle Autonomous Database Cloud, which uses Machine Learning to […]
Read More →Data Architects and Data Modelers: The SQL/NoSQL Debate is Dead
Karen Lopez says that when it comes to surviving as a Data Architect, “Hybrid is the future.” It’s no longer enough to speak only one language or stay attached to one set of technologies. According to Lopez, “purely relational (SQL) databases don’t exist any longer,” since most applications developed now use various types of database […]
Read More →Scalable Graph Database Technology: Combining Big Data and Real-Time Analytics
In February of 2018, TigerGraph released the 2.0 version of its Graph Database platform, described as “the next evolutionary step for Graph Databases.” TigerGraph was founded by its CEO, Dr. Yu Xu, in 2012. He is an expert in parallel database systems and Big Data. In 2011, while working Twitter, he said he discovered Graph […]
Read More →A Brief History of the Data Warehouse
A Data Warehouse (DW) stores corporate information and data from operational systems and a wide range of other data resources. Data Warehouses are designed to support the decision-making process through data collection, consolidation, analytics, and research. They can be used in analyzing a specific subject area, such as “sales,” and are an important part of […]
Read More →Data Containers Demystified: A Reliable Data Movement Solution
The Data Management industry has seen a significant rise in the recent interest of Data Containers. As Cloud Computing has gained popularity, methods for transporting data and its processing instructions, have been investigated, with Data Containers coming in as a viable a solution. Data Containers solve the problem of getting software to run reliably, while […]
Read More →GDPR: From Panic to Practical Response
The countdown to the May 25, 2018 General Data Protection Regulation (GDPR) enforcement deadline is almost at zero, causing some organizations to panic, and others to procrastinate, hoping for a miracle. A whitepaper by ASG Technologies compiled with Forbes entitled Make Time for GDPR includes recent figures from Veritas suggesting that: “86% of organizations worldwide […]
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