Artificial intelligence (AI), encompasses the broad fields of data capture, data storage, data preparation, and advanced data analytics technologies. In other words, AI systems are not limited to a single aspect of Data Management; rather, they are increasingly penetrating any and every aspect of business through allied data technologies like machine learning (ML), deep learning, […]
Fundamentals of Document Databases
A document database (sometimes referred to as a “document store” or a “document-oriented database”), is a NoSQL or non-relational database. But, document databases use an index to associate “keys” with “documents,” making it more efficient at retrieving data. Unlike relational databases, document databases are not structured with a format of rows and columns, but scale […]
Smart AI Means Smart Data Prep
Every company wants to put artificial intelligence (AI) to work. Its potential seems limitless. Big business benefits at the snap of a finger. But then reality hits: the value that AI can deliver isn’t easy. Even IBM, a pioneer in the early age of AI (or AI’s rebirth if you want to trace it back […]
Data Management Trends in 2020
Data Management will remain a differentiating business practice over the next several decades. Business competitors will be forced to contend with each other based on their Data Management strategies when all other strategic advantages are exhausted. The rise, growth, and tremendous potential of advanced data technologies have now rendered Data Management one of the most […]
The Future of Blockchain
The media focus around blockchain over the last five to ten years has shifted from the currency bitcoin to the underlying database technology, which is a distributed ledger technology(DLT), now used in a wide variety of use cases. So, what is the reason behind blockchain suddenly gaining so much traction? McKinsey Report’s Blockchain’s Potentials, Limitations, […]
The Challenges of Leveraging Big Data
Organizations from all over the world are gathering, analyzing, and evaluating huge data volumes from a large variety of sources, with the goal of increasing productivity and efficiency. Big Data Analytics is being used to stop credit card fraud, anticipate hardware failures, and reroute internet traffic to avoid congestion. Big Data technologies can improve network […]
Ride the Data Governance 2.0 Wave
Companies were engaged in Data Governance practices such as Data Lineage and Data Quality for years before the concept of Data Governance emerged as a mainstream enterprise-level activity in 2005, said Kelle O’Neal, the founder and CEO of First San Francisco Partners, during her DATAVERSITY® Enterprise Data Governance Online event presentation titled Data Governance 2.0. […]
Addressing Edge Computing Needs with Advanced Data Storage
The number of companies using edge computing is rapidly growing as real-time insights are becoming more important to business success. Edge computing “uses a network of microdata servers to process and store Big Data locally, taking the concept of a distributed architecture to the next level.” It is meant to help decrease latency problems, allow […]
Advanced Analytics Use Cases
Modern self-service analytics platforms empower the ordinary business user by bringing advanced analytics tools to their desktop. The business user today does not require the help of a technical team member to discover trends and patterns, to make accurate predictions about the future, or to drive a data-driven culture in the organization. Kartik Patel points […]
Data Orchestration Brings Your Data Closer and Makes Access Faster
Data orchestration means trying to bring order and speed to a complex Big Data ecosystem, a conglomeration of storage systems like Amazon S3, Apache HDFS, or OpenStack Swift and computation frameworks and applications such as Apache Spark and Hadoop MapReduce. The data stack is fragmented and performance-challenged by a proliferation of data silos. The technology […]