Category: Big Data

Feed: Featured Blog Posts - Data Science Central. Author: Tetiana Mykhailyk. Artificial Intelligence (AI) seems to be seeping into every aspect of our life with AI-powered solutions positively changing tech and trade, healthcare, education and even our personal everyday life. On the daily, we are challenging the usual order of things by automating the mundane routine work and having smart devices assist us with our tasks. The shift to smart technologies and intelligent workspaces goes even beyond that. Business giants across industries have recognized the limitless possibilities brought on by the innovative technologies and leverage artificial intelligence services to transform the way they work ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Siddhaling Urolagin. Machine Learning and Artificial Intelligence for Business Recovery after COVID 19 Currently, the world is facing the most challenging time and going through economic turmoil. One of the important priorities of many companies is to recover quickly from the current scenario and be operational as quickly as possible. The coronavirus has impacted many companies and this economic hit is very fast throughout the world. Companies around the globe are looking for stabilizing their business and the recovery. According to the Organization for Economic Co-operation and Development of the reports ... Read More

Feed: Matillion. Author: Julie Polito; Data can be one of the most valuable assets for any organization. With the rise of big data, companies can take advantage of vast stores of enterprise data to gain insights and make better decisions. However, as we create and store more data, consumer privacy concerns are growing. Companies need to comply with increasing numbers of regulations, such as GDPR. Data breaches occur with greater frequency, and they can be extremely damaging to an organization’s reputation as well as expensive to clean up. The risks of poor data policies are severe, even fatal for organizations ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Sharmistha Chatterjee. Importance of C++ in Data Science and Big Data Introduction and Motivation – Why C++ C++ is ideal for dynamic load balancing, adaptive caching, and developing large big data frameworks, and libraries. Google’s MapReduce, MongoDB, most of the deep learning libraries listed below have been implemented using C++. Scylla known for its ultra-low latency and extremely high throughput is coded using C++ acts as a replacement to Apache Cassandra and Amazon DynamoDB. With some of the unique advantages of C++ as a programming language, (including memory management, performance characteristics, and systems programming), it definitely serves as one of the most efficient tools for developing fast scalable Data Science and Big Data libraries. Further, Julia (a compiled and interactive language – ... Read More

Feed: R-bloggers. Author: Marcin Kosiński. [This article was first published on http://r-addict.com, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don't. Why R 2020 Discussion Panels are scheduled for this weekend! Check out the post to find out about dates and descriptions of them for 2020.whyr.pl. Why R? 2020 Discussion Panels Even before the establishment of Bioconductor, R has been a staple tool in bioinformatics. However, with the advent of NGS techniques, the speed ... Read More

Feed: Teradata Blog. There has been a lot of talk recently about needing to have a “modern architecture.” Many I have spoken with talk of needing an “analytic space” to either compliment or replace the “Data Warehouse.” Companies want to “embrace the cloud” but are not sure what that really means or what the trades off that will occur in doing so.  The reason I put those in quotes is that they are vague terms open to interpretation. Unless the underlying discussions are held, companies can easily be led astray chasing after the next “silver bullet” solution. The bottom line: ... Read More

Feed: Recent Announcements. AWS Glue Studio makes ETL accessible to the many users who are new to Apache Spark programming and to users who are accustomed to ETL tools with boxes-and-arrows interfaces. Without writing code, users of all experience levels can now take advantage of big data processing on AWS Glue’s serverless Apache Spark-based ETL platform. They can also use the AWS Glue Studio job monitoring dashboard to get a global view of their ETL execution and resource usage. AWS Glue Studio is available in these AWS regions: US East (N. Virginia), US East (Ohio), US West (N. California), US ... Read More

Feed: Domo Blog. Author: Scott Resch. Leaders today need to lead with their hearts rather than their heads, empower their employees to be leaders themselves, and use data and analytics to inform the types of conversations required to drive organizational success in a post-COVID world. Those are the main takeaways from Domo’s third CURIOSITY episode, “Leadership and Analytics” (see snippet below). In doing all of the above, organizations “will be catapulted in a quicker, more dynamic way,” said Joy Driscoll, chief information officer and digital enablement officer of Vivint Smart Home. Joy was joined by Seismic chief strategy officer Randy ... Read More

Feed: AWS Big Data Blog. In today’s world, data plays a vital role in helping businesses understand and improve their processes and services to reduce cost. You can use several tools to gain insights from your data, such as Amazon Kinesis Data Analytics or open-source frameworks like Structured Streaming and Apache Flink to analyze the data in real time. Alternatively, you can batch analyze the data by ingesting it into a centralized storage known as a data lake. Data lakes allow you to import any amount of data that can come in real time or batch. With Amazon Simple Storage ... Read More

Feed: AWS Big Data Blog. This is a guest post from ZS. In their own words, “ZS is a professional services firm that works closely with companies to help develop and deliver products and solutions that drive customer value and company results. ZS engagements involve a blend of technology, consulting, analytics, and operations, and are targeted toward improving the commercial experience for clients.”This blog is about the approaches evaluated and eventually chosen for ZS’s cloud transformation journey specifically for adoption of Amazon Redshift from prior Teradata based data warehousing solution. ZS, a professional services firm that works side by side ... Read More