PROACTIVE APACHE HADOOP SUPPORT AND INSIGHTS FOR IMPROVED CLUSTER PERFORMANCE

Hortonworks

Enterprises have come to rely heavily on Apache Hadoop for business critical applications. Therefore it is critical for them to resolve cluster issues rapidly when time is of the essence. What if you can have access to a support service that proactively monitors your Hadoop infrastructure, and also recommends tailored solutions and actions? Learn how over 100 Hortonworks customers are using proactive issue detection and faster case resolution to solve problems before they occur.
Watch Now

Spotlight

90% of IT business leaders, most from large enterprises, say that legacy systems are holding them back from harnessing the digital technologies they need to grow and become more efficient. 30% say that legacy systems are a barrier to successful project implementation. Furthermore, the path to success and 30 digital transformation is hindered.


OTHER ON-DEMAND WEBINARS

Innovation Without Compromise: The Challenges of Securing Big Data

Cloudera Inc

Hadoop is a powerful tool for today’s enterprise – providing unified storage of all data and metadata, regardless of format or source, and multiple frameworks for robust processing and analytics. However, this flexibility and scale also presents challenges for securing and governing this data.

The Age of Big Data – Big Opportunities or Big Barriers?

It’s no secret: Higher Education institutions that have leveraged their vast stores of enterprise and learning data have seen improved student performance, increased instructor effectiveness, reduced costs, and a decrease in administrative workloads. However, it has become apparent to most institutions that the data also comes with significant barriers. At IBM and D2L, we believe BIG data does not have to equal BIG barriers…

Hadoop Without Borders – Learn to Build Hybrid Big Data Analytics Pipelines with Azure Data Factory

Microsoft

Do you have sensitive data that you need to anonymize and aggregate before sending it to the cloud? Or perhaps you want to extend your on-premises Hadoop data lake with new workflows to leverage the benefits of the cloud’s elastic scale? If so, chances are you need a hybrid data integration solution. In this talk we will cover how to build hybrid data flows that span on-premises and cloud-based Hadoop using Azure Data Factory.

Pre-Processing Big Data: Techniques to improve quality of big data analysis

BrightTALK

Data in the real-world is almost always dirty, incomplete, scattered or inconsistent. For data scientists, 'janitor work' is a key hurdle to data insights. Whether you use big data for analytics or data science, with increasing variety and velocity of big data, the data pre-processing step can be the most time-consuming step in your data pipeline. Featuring engineering concepts and practical examples in Python and R, this webinar will focus on technical considerations and data engineering techniques to optimise data preparation to get the most value from your big data pipeline.

Spotlight

90% of IT business leaders, most from large enterprises, say that legacy systems are holding them back from harnessing the digital technologies they need to grow and become more efficient. 30% say that legacy systems are a barrier to successful project implementation. Furthermore, the path to success and 30 digital transformation is hindered.

resources