Now I am a firm believer. Since I am a life long learner and there were many courses I found interesting, I signed up for the Premium Annual plan which gives me access to the exercise files for the courses. In addition to the course I was searching for, I have taken courses on lynda.com ranging from courses to refresh my skills on programming languages I have not used in a while to learning new languages. I have also used lynda.com to deepen my knowledge of cloud computing. Continue reading lynda.com – A Great Resource For Learning
You can find a number of good Apache Spark training videos on the Web. Here are a few of them.
DevOps with Apache Spark Workshop Advanced – Sameer Farooqui (Databricks)
Amazon Aurora, a MySQL-compatible database engine that combines the speed and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases, is now available to all customers. More than a thousand AWS customers, including global enterprises and startups from a range of industries, participated in the preview and saw that Amazon Aurora can provide up to five times better performance than the typical MySQL database, and availability as good or better than commercial databases – at one-tenth the cost. These customers also found Amazon Aurora has the scalability, durability, and reliability to run the most demanding enterprise and Internet-scale applications – everything from massive Internet of Things (IoT) applications to mission-critical e-commerce sites. Continue reading AWS Makes Aurora Available to All Customers
Yesterday I attended the online Big Data in Motion Summit. There were two sessions that I found interesting. The first was Building Truly Collaborative Business Intelligence by Miranda Li from Tableau and the second was Delivering Operational Intelligence by Monzy Merza from Splunk.
Miranda’s presentation showed how Tableau can help teams collaborate using Tableau. Monzy show how Spunk can help teams turn machine data into Operational Intelligence.
Apache Drill is a Schema-free SQL Query Engine for Hadoop, NoSQL and Cloud Storage that allows you to query and analyze the raw data from multiple sources without the need to load the data, create and maintain schemas, or transform the data before it can be processed.
Tableau is a powerful data visualization tool that can connect to Apache Drill using an ODBC connection. Continue reading Visualize Data from Multiple Sources with Tableau and Apache Drill
Open Data sources hold a wealth of information that may be helpful to your organization. If you are operating on a small budget or are doing a proof of concept project, you can use Tableau to visualize Open Data sources without cost.
Tableau Public is a free to use version of Tableau that stores your work on a publicly accessible web site. This means that the visualizations you create in Tableau Public can be found by anyone searching the Tableau Public web site. Continue reading Visualize Open Data For Free with Tableau Public
Apache Drill is an open-source SQL query engine that analysts can use to explore Big Data from a variety of sources. Drill is designed from the ground up to support high-performance analysis on the semi-structured and rapidly evolving data, while still providing the familiarity and ecosystem of ANSI SQL. Drill provides plug-and-play integration with existing Apache Hive and Apache HBase deployments.
Drill supports a variety of NoSQL databases and file systems, including HBase, MongoDB, MapR-DB, HDFS, MapR FS, Amazon S3, Azure Blob Storage, Google Cloud Storage, Swift, NAS and local files. A single query can join data from multiple data sources. Continue reading Review: Introduction to Apache Drill from MapR Academy
I will be positing about cloud computing, analytics, data visualization and lean – agile software development.