Features of Apache Cassandra

* Elastic scalability - Cassandra is highly scalable; it allows to add more hardware to accommodate more customers and more data as per requirement.

* Always on architecture - Cassandra has no single point of failure and it is continuously available for business-critical applications that cannot afford a failure.

* Fast linear-scale performance - Cassandra is linearly scalable, i.e., it increases your throughput as you increase the number of nodes in the cluster. Therefore it maintains a quick response time.

* Flexible data storage - Cassandra accommodates all possible data formats including: structured, semi-structured, and unstructured. It can dynamically accommodate changes to your data structures according to your need.

* Easy data distribution - Cassandra provides the flexibility to distribute data where you need by replicating data across multiple data centers.

* Transaction support - Cassandra supports properties like Atomicity, Consistency, Isolation, and Durability (ACID).

* Fast writes - Cassandra was designed to run on cheap commodity hardware. It performs blazingly fast writes and can store hundreds of terabytes of data, without sacrificing the read efficiency.

Features of Avro

Features of Avro

* Avro is a language-neutral data serialization system.

* It can be processed by many languages (currently C, C++, C#, Java, Python, and Ruby).

* Avro creates binary structured format that is both compressible and splittable. Hence it can be efficiently used as the input to Hadoop MapReduce jobs.

* Avro provides rich data structures. For example, you can create a record that contains an array, an enumerated type, and a sub record. These datatypes can be created in any language, can be processed in Hadoop, and the results can be fed to a third language.

* Avro schemas defined in JSON, facilitate implementation in the languages that already have JSON libraries.

* Avro creates a self-describing file named Avro Data File, in which it stores data along with its schema in the metadata section.

* Avro is also used in Remote Procedure Calls (RPCs). During RPC, client and server exchange schemas in the connection handshake.

New features in Veeam V7 MP for SCOM 2012 R2

New features in Veeam V7 MP for SCOM 2012 R2

Support for Hyper-V:

With Veeam MP v7, you can monitor health and performance of both Microsoft Hyper-V

and VMware vSphere environments. Now Hyper-V administrators can get the same great

monitoring, alerting, advanced reporting and unique dashboards that Veeam provides for

vSphere.

Heatmap Dashboard:

Easy to access live data from any object in your Hyper-V or vSphere environment with incontext dashboards and drill-down capabilities. Veeam widgets work in tandem with dashboards to give you instant visualization of the metrics that matter most to you.

Capacity planning for hybrid cloud:

Veeam Management Pack takes the guesswork out of planning resources to run your virtual workloads in the cloud. Capacity planning for both Microsoft Azure and for VMware vCloud Hybrid Service first analyzes your on-premises virtual workloads and then provides recommendations for the required cloud IaaS resources.

New Features added in SCOM 2016

New Features added in SCOM 2016

• SCOM 2016 is the next version of SCOM after SCOM 2012.
• There architecture remains the same, but the support for dasboard has been improved vastly.
• If you have see the SQL mp then you could see cool charts being displayed.
• The same has been extended to all the MP's and given as a template which you can extend it to your MP as well.
• The support for Azure is also improved,earlier you have connect through certificates to establish connection, but now you connect through Azure AD,so you just have to enter the username and password and it will connect you to the Azure platform from scom.This is a huge welcome move.
• Also it will support Windows 2016,and SQL 2014.