With the increasing use of big data by organizations in every field, the need for big data analysts will continue to grow. Big data analysts examine vast amounts of varied data. They uncover hidden patterns, customer preferences, and market trends. One of the primary differences between a big data analyst and a data scientist is […]
Enterprise Analytics Trends
Evan Terry, Chief Analytics Officer at Velocity Mortgage Capital said that enterprise analytics technology is increasingly sophisticated, due to machine learning, artificial intelligence (AI), and streaming analytics, but you can’t benefit from these advancements without a solid foundation. “There’s a real interplay there between the foundational and the advanced.” Terry discussed these interplays during his […]
Taking the Right Steps to Implement Data Governance and Data Stewardship
Data as an asset comes up a lot in conversations these days. Data Governance enters the picture because of the huge role Data Strategy plays in supporting the business strategy – and the need for that to happen without compromising data security, according to Mary Levins, Data Governance Principal at Sierra Creek Consulting. Among the […]
The Distributed Cloud and Data Governance
The business of Data Management embraced new complexities when diverse types of data started flowing in—in huge volumes through multiple data channels and in real time. Analysis of very high-speed, high volume, multi-type business data necessitated the growth and development of advanced Data Management technologies and tools, and cloud computing technologies were born out of […]
Next Generation Business Intelligence: Customer-Driven Success
In the customer-driven era, business success depends on how quickly a business can respond to a customer demand. The more that businesses become reliant on real-time outcomes, the more they will seek next-generation (next-gen) BI deployments. Traditional Business Intelligence (BI) platforms were high-cost and time-intensive applications. The current trend in BI is to move toward […]
Knowledge Graphs, Ontologies, and AI
This past fall, all aspects of the computable knowledge structure KBpedia – its upper ontology (KKO), full knowledge graph, mappings to major leading knowledge bases, and 70 logical concept groupings called typologies – became open source. Making big strides in increasing definitions and mappings has been a main focus of KBpedia v. 1.60. As it always […]
Fundamentals of Data Virtualization
An innovative data technology called “data virtualization” (DV) is employed to tackle high volumes data from varied sources. Data virtualization is widely used in enterprise resource planning (ERP), customer relationship management (CRM), and sales force automation (SFA) systems to collect and aggregate multi-source data. From multi-sourced data acquisition to advanced analytics, this technology seems to […]
Industry 4.0: Make Data-Driven Decisions Immediately
What if a cyber-physical world — fueled by data — shortened production and manufacturing decisions to the time it takes to adjust a thermostat’s temperature? This just begins to describe Industry 4.0. According to a recent McKinsey article, Industry 4.0 “expects to deliver between $1.2 and $3.7 trillion in value.” Meanwhile, according to Riasat Noor, […]
Serverless Computing and Serverless Architecture: An Overview of BaaS, FaaS, and PaaS
The term serverless computing immediately indicates an IT infrastructure where the business owner does not have to invest in a specialized or expensive hardware platform. The essence of serverless architecture and serverless computing lies in the provisioning of third-party services, which are also referred to as backend-as-a-service (BaaS) and a special code made available through […]
Fundamentals of the Data Lakehouse
During the last few years, a new concept in Data Architecture has emerged. It is called the “data lakehouse.” The data lakehouse offers a new paradigm that takes the best characteristics of data warehouses (small amounts of coordinated data) and data lakes (massive amounts of uncoordinated data), and merges them, providing improved controls and tools. […]