- ETL in the Cloud: Transforming Big Data Analytics with Data Warehouse Automation - Apr 15, 2021.
Today, organizations are increasingly implementing cloud ETL tools to handle large data sets. With data sets becoming larger by the day, unified ETL tools have become crucial for data integration needs of enterprises.
Automation, Big Data, Big Data Analytics, Cloud, Data Analytics, Data Warehouse, ETL
- How to Make an Agile Team Work for Big Data Analytics - Oct 31, 2019.
Learn how to approach the challenges when merging an agile methodology into a data science team to bring out the best value for your Big Data products.
Agile, Big Data, Big Data Analytics, Data Science Team
- Training a Champion: Building Deep Neural Nets for Big Data Analytics - Apr 4, 2019.
Introducing Sisense Hunch, the new way of handling Big Data sets that uses AQP technology to construct Deep Neural Networks (DNNs) which are trained to learn the relationships between queries and their results in these huge datasets.
Big Data Analytics, Deep Learning, Neural Networks, Sisense, SQL
- Top 5 domains Big Data analytics helps to transform - Nov 23, 2018.
Big data analytics gives a competitive advantage to companies across many industries, especially, financial services, e-commerce, aviation, transportation, logistics, and energy. It enables to reduce downtime, mitigate risks, cut costs, and improve performance.
Aviation, Big Data, Big Data Analytics, Credit Risk, Data Analytics, Ecommerce, Finance, Security
BIG, small or Right Data: Which is the proper focus? - Oct 8, 2018.
For most businesses, having and using big data is either impossible, impractical, costly to justify, or difficult to outsource due to the over demand of qualified resources. So, what are the benefits of using small data?
Big Data, Big Data Analytics, Data Analytics, Small Data
Introduction to Blockchains & What It Means to Big Data - Sep 27, 2017.
Perhaps most significant development in IT over the past few years, blockchain has the potential to change the way that the world approaches big data, with enhanced security and data quality.
Big Data, Big Data Analytics, Bitcoin, Blockchain, Monetizing
- Did you know cavemen were already dealing with “Big Data” issues? - May 3, 2017.
We know Big Data & Analytics are new & cutting edge technologies; but actually, human started using data & analytics techniques 5000 years ago. Let’s take a look.
Big Data, Big Data Analytics, Data Analysis, Data Science, History
- Smart Data Platform – The Future of Big Data Technology - Dec 2, 2016.
Data processing and analytical modelling are major bottlenecks in today’s big data world, due to need of human intelligence to decide relationships between data, required data engineering tasks, analytical models and it’s parameters. This article talks about Smart Data Platform to help to solve such problems.
Big Data, Big Data Analytics, China, Data Processing, Modeling, TalkingData
- How open API economy accelerates the growth of big data and analytics - Jun 17, 2016.
An open API is available on the internet for free. We review the growth of API economy and how organizations have been realizing the potential of open APIs in transforming their business.
API, Big Data Analytics, Open Data
- Using Big Data Analytics To Prevent Crimes The “Minority Report” Way - Apr 18, 2016.
The idea of using artificial intelligence for the crime prevention has been around for more than a decade. In this post, we present four examples, including how using analytics, we can prevent a criminal from re-offending.
Big Data Analytics, Crime, Machine Learning, Surveillance
- WebDataCommons – the Data and Framework for Web-scale Mining - May 1, 2015.
The WebDataCommons project extracts the largest publicly available hyperlink graph, large product-, address-, recipe-, and review corpora, as well as millions of HTML tables from the Common Crawl web corpus and provides the extracted data for public download.
Big Data Analytics, Graph Databases, RDF, Web Mining
- IBM Big Data & Analytics Heroes - Feb 26, 2015.
IBM's Big Data & Analytics Heroes include leaders in the field that propel the industry in order to promote thought leadership and progress in Big Data Analytics.
About Gregory Piatetsky, Analytics Leader, Big Data, Big Data Analytics, IBM, Jake Porway, Kirk D. Borne
- Big Data Landscape, v 3.0, analyzed - May 15, 2014.
We analyze the Big Data Landscape and identify the most popular market segments in Analytics, Infrastructure, Applications, Open Source, and Data Sources categories. It is still early - only 4.5% of companies had exits.
Big Data, Big Data Analytics, Data Platform, Infrastructure, Landscape, Open Source, Startups
