Azure Data Solution

Azure Data Solution

In today’s data-driven environment, the phenomenon of the Big Data explosion has not only resulted in enormous data growth, but it has also stimulated ingenious innovations. Businesses must be adept at predicting what will happen next and responding in real time in order to be viable and thrive in this constantly changing market. As companies need more and more real-time decision-making, the importance of streaming data in making real-time business choices grows.

A Big Data solution requires a number os tools, ranging from technologies dealing with data sources, integration, and data stores to technologies that aid in the development of data models and their presentation via visualization and reporting.

Microsoft Azure offers a variety of Big Data Solutions that can be used to manage one or more of the following workloads listed: Batch processing of big data sources at rest, real-time processing of big data in motion, interactive big data exploration, predictive analytics, and machine learning.

Benefit

Simple Deployment

Easy deployment & need less time to deploy infrastructure and platform for big data engines than on-premise.

Technology Choices

You can mix and match Azure managed services and Apache technologies in HDInsight clusters to capitalize on existing skills or technology investments.

Performance through Parallelism

Big data solutions take advantage of parallelism, enabling high-performance solutions that scale to large volumes of data.

Elastic Scale

All of the components in the big data architecture support scale-out provisioning to adjust your solution to small or large workloads and pay only for the resources you use.

Interoperability with Existing Solutions

The components of the big data architecture are also used for IoT processing and enterprise BI solutions, enabling you to create an integrated solution across data workloads.

Open Source Technologies Based

Azure HDInsight service offers open source technologies based on the Apache Hadoop platform, including HDFS, HBase, Hive, Pig, Spark, Storm, Oozie, Sqoop, and Kafka.

Managed Backup

Patch and tuning by Microsoft expertise ensure the underlying platform runs with the latest technology and have data backup for availability.