Hadoop Big Data | Breaking Cybersecurity News | The Hacker News

Until last year, cyber criminals were only targeting computers of individuals and organisations with ransomware and holding them for ransom, but then they started targeting unprotected online databases and servers around the globe for ransom as well. Earlier this year, we saw notorious incidents where tens of thousands of unprotected MongoDB and Elasticsearch databases were hacked and held for ransom in exchange of the data the hackers had stolen and deleted from the poorly configured systems. Now, cyber crooks have started targeting unprotected Hadoop Clusters and CouchDB servers as well, making the ransomware game nastier if your servers are not securely configured. Nearly 4,500 servers with the Hadoop Distributed File System (HDFS) — the primary distributed storage used by Hadoop applications — were found exposing more than 5,000 Terabytes (5.12 Petabytes) of data, according to an analysis conducted using Shodan search engine. This exposure is due to the same issue — H

Earlier this month, Microsoft surprised us all with the announcement that they built a Linux kernel-based operating system, Azure Cloud Switch (ACS) , for developing software products for Network Devices. Now, Microsoft just announced that they have selected Ubuntu as the operating system for their Cloud-based Big Data services. Yes, Microsoft needs Linux. To expand its Azure Data Lake project, that makes Big Data processing and Analytics simpler and more accessible, Microsoft has partnered with Hortonworks and Canonical to launch " Azure HDInsight " for Linux users. Azure HDInsight is a Hadoop-based Big Data solution powered by Cloud that is now also available for Ubuntu, along with Windows OS. By offering both Windows and Linux clusters, Microsoft's fulfills its aim to enhance its own cross-platform aspirations that will accelerate a move towards Hybrid Cloud Computing . " The collaboration between Microsoft and Canonical to create the option to run Azur

Identities now transcend human boundaries. Within each line of code and every API call lies a non-human identity. These entities act as programmatic access keys, enabling authentication and facilitating interactions among systems and services, which are essential for every API call, database query, or storage account access. As we depend on multi-factor authentication and passwords to safeguard human identities, a pressing question arises: How do we guarantee the security and integrity of these non-human counterparts? How do we authenticate, authorize, and regulate access for entities devoid of life but crucial for the functioning of critical systems? Let's break it down. The challenge Imagine a cloud-native application as a bustling metropolis of tiny neighborhoods known as microservices, all neatly packed into containers. These microservices function akin to diligent worker bees, each diligently performing its designated task, be it processing data, verifying credentials, or