Big Data Update 2017
Big Data is now seemingly pervasive. It has continued its market expansion and is projected to grow from $122 B in 2015 to $187 B by 2019. Machine learning, real time streaming, and mature, advanced frameworks have emerged. And yet somehow, an old friend, SQL, has reemerged as a significant underpinning of this technology. It seems that structure and metadata were import things to consider after all! On January 26th we are presenting Big Data Update 2017 session at the Indiana DAMA chapter meeting where we will discuss technologies that will be familiar, yet come with an innovative Big Data twist. Hope to see you there!
Big Data and Education
We live in the age of the data-driven classroom. Today much of the class work is computer-based and it is captured electronically, and so there exists a capability to assess progress continuously, and not just through episodic testing. Data for student, curriculum, class, teacher, and school is being amassed and analyzed. Big Data analysis gives unprecedented meaningful insights into education for teachers, administrators, students, and parents. Read more about it in our new blog entry here.
We have added new Spark, Scala, and Kafka Classes!
|Introduction to Scala||Introduction to Scala is a three-day immersive course in concepts behind programming in the Scala language. It is intended for Java developers and contains information that provides a quick start to programming in the complex functional language.|
|Introduction to Spark||Introduction to Spark is a five-day comprehensive course in concepts behind the Spark development environment. It is taught in Scala. It covers all aspects of architecture, development, debugging, performance, and deployment of Spark based applications. It includes Spark Core, Spark SQL, Spark Streaming, GraphX and MLLib|
|Introduction to Kafka||Introduction to Kafka is a one-day comprehensive course in concepts behind Kafka message queueing development. It can be taught in Java or in Scala. It covers all aspects of architecture, development, debugging, performance, and deployment of Kafka based applications with specific emphasis on using it with other frameworks such as Spark, Storm, or MapReduce|
The most effective of the advanced analytic technologies use machine learning, graph based analysis algorithms, natural language processing, and specialized Big Data management technologies such as Hadoop, Spark, and Storm. Analytics Inside utilizes all of these technologies to provide powerful service-oriented solutions, as well as consulting and training services. We help you prepare for Big Data implementations through a capability maturity model that provides a go-forward road map taking you from first install to full maturity.
We help to maximize the value of Big Data for organizations that depend upon the data they collect. Analytics Inside opens the doors for our customers to new ways of understanding, exploiting, and acting upon their data.