bigdata analytic
TOP-22 AI Influencers to Follow on Twitter by 2022 - ByteScout
Many people use Twitter to catch up with the daily news. More importantly, Twitter is now seen as the go-to source of the latest information for professionals and experts in the field of science and technology. Here is the list of the top twenty influencers in artificial intelligence (AI) and machine learning (ML) that you can follow to keep up with the latest development in AI and ML. He is a top worldwide influencer since 2013. His interests include Data Science, Astrophysics, Machine Learning, Data Mining, and Space Science.
Bigdata Analytics with Hive,Spark,Sqoop - Udemy
SparkR is an R package that provides a light-weight frontend to use Apache Spark from R. In Spark 2.0.2, SparkR provides a distributed data frame implementation that supports operations like selection, filtering, aggregation etc. (similar to R data frames) but on large datasets. SparkR also supports distributed machine learning using MLlib. You will learn how to create spark cluster in Databricks. You will learn how to create dataframes and grouping data and aggregating data.
Bigdata Analytics and Supply chain management
I am a newbie to Bigdata and would like to highlight some significant advantages if incorporated in a company's supply-chain management strategies, expecting the reader's views and suggestions. Because, in recent past I have developed a online supply-chain management systems in which sellers and customers are matched using an algorithm. It acted as a decision support system and I needed to dig deeper on the available data to get more insights over the data pattern (even for evaluating its correctness). We know that data is generated throughout the supply chain – So, for sure the manufacturers of consumer goods or services analyze key performance indicators to ensure the resources are delivering at its capacity. So, there is a need for efficient data storage/management and information retrieval techniques. Current technology can track and capture data effectively and efficiently, even in vast quantities.