What exactly is artificial intelligence (AI) and what business does it have in higher education? Simply put, AI is an attempt to emulate human knowledge by programming extensive rules into computers. Through machine learning and expert systems, machines can produce patterns within mass flows of data and pinpoint correlations that couldn’t possibly be immediately intuitive […]
Investigating The Scalability Issues Of Bitcoin In Blockchain
Scalability is a crucial factor that is talked about even before an application has been created. Yet, even after the application is deployed, the application will be required to be updated frequently to scale based on the application load. While scalability has been one of the concerns even in the blockchain space, it wasn’t the […]
Google Releases Cloud Dataproc for Kubernetes in Alpha
Google Cloud Dataproc is an open-source data and analytic processing service based on Hadoop and Spark. Google has now announced the alpha availability of Cloud Dataproc for Kubernetes to provide customers with more efficiency to process data across platforms. By Steef-Jan Wiggers
Big Data Paves The Road For A New Generation Of Investing Apps
Big data is changing the financial industry in a truly astounding way. Countless financial professionals are looking towards machine learning and other new tools to improve the quality of the services that they offer to their customers. K. Hussain of Atos Spain published a white paper on the growing relevance of big data in the […]
Jagadish Venkatraman on LinkedIn’s Journey to Samza 1.0
At the recent ApacheCon North America, Jagadish Venkatraman spoke about how LinkedIn developed Apache Samza 1.0 to handle stream processing at scale. He described LinkedIn’s use cases involving trillions of events and petabytes of data, then highlighted the features added for the 1.0 release, including: stateful processing, high-level APIs, and a flexible deployment model. By […]
5 Reasons Why You Should Store Big Data In The Cloud
Gone are the days when storage of information can only be done with the traditional remote servers which are located in a secluded location. Today, the in-thing is cloud data storage where information and data are stored electronically online. With this approach, you can store unlimited data online (in the cloud) and access it anywhere. […]
ApacheCon 2019 Keynote: Google Cloud Enhances Big-Data Processing with Kubernetes
At ApacheCon North America, Christopher Crosbie gave a keynote talk title “Yet Another Resource Negotiator for Big Data? How Google Cloud is Enhancing Data Lake Processing with Kubernetes.” He highlighted Google’s efforts to make Apache big-data software “cloud native” by developing open-source Kubernetes Operators to provide control planes for running Apache software in a Kubernetes […]
Google Introduces Cloud Storage Connector for Hadoop Big Data Workloads
In a recent blog post, Google announced a new Cloud Storage connector for Hadoop. This new capability allows organizations to substitute their traditional HDFS with Google Cloud Storage. Columnar file formats such as Parquet and ORC may realize increased throughput and customers will benefit from Cloud Storage directory isolation, lower latency, increased parallelization and intelligent […]
Article: Data Analytics in the World of Agility
Is it all about customer-centric business, or is there any data left? Can we integrate data analytics and customer empathy? This article explores how we can move towards a more customer-centric business and what information we require in order to understand the most valuable thing we have: our customer. By Almudena Rodriguez Pardo
An Introduction to Structured Data at Etsy
Etsy recently published a blog post detailing how they store and manage structured data. Etsy is a marketplace allowing sellers to post one-of-a-kind items. Their landing page slogan “If it’s handcrafted, vintage, custom or unique, it’s on Etsy.” reveals that uniqueness is a selling point for Etsy. As long as an item falls within the […]