Tools Journal - Tools Journal

[...] for NoSQL databases such as Hadoop and Cassandra. These NoSQL databases are preferred by app developers because of their flexibility and scalability. They are next generation databases that are [...]

[...] . Health companies and make better use of all this data to offer better health services. App developers will also have the opportunity to create richer apps, that can help improve lives. [...]

[...] the risks associated with software applications and apps for corporate and their customers. App developers too benefit by being able to incorporate security during the development stage itself. Image [...]

[...] . This reduces the number of lines of code needed to be written to one-fifth. Additionally, app developers can build the applications using languages such as Java, Python, and Scala and reuse the code [...]

[...] Hortonworks has released its HDP 2.1 or Hortonworks Data Platform 2.1. This is the only completely open enterprise Hadoop platform. The new product [...]

[...] cluster when compared to the 0MQ transport, increasing efficiency significantly. The Hortonworks Data Platform is the only Hadoop distribution that supports Windows. Those using Windows based [...]

[...] support for the company that tries to bring their innovation to the enterprises. The Hortonworks Data Platform provides an open platform that deeply integrates with existing IT investments and upon [...]

[...] develops, distributes and supports open source Apache Hadoop data platform. The Hortonworks Data Platform provides an open platform that deeply integrates with existing IT investments and upon [...]

[...] in Amazon Web Service with dynamic provisioning. InfiniDB for Apache Hadoop integrates with the Hadoop Distributed File System (HDFS) and enables users to perform real- [...]

[...] , it said that this financing will be used to extend Hortonworks’ strategy of delivering Apache Hadoop for the enterprise through leading innovation completely in the open, through the continued [...]

[...] MapR Technologies, which provides distribution for Apache Hadoop, has added the complete Apache Spark Stack to its MapR Distribution. MapR has also entered [...]

[...] query. The system makes use of bi-directional data flow and pushdown processing to make data access and analysis faster and simpler even when an enterprise has multiple databases and data systems [...]

[...] data at rest and data in motion, activity monitoring for compliance, fine grained, role based data access, and automated failover that ensure multiservice high availability. Image Source: Zettaset [...]

[...] scope of its Apache Sqoop integration and ETL support. It also enables better distributed data access for third party tools. InfiniDB has support for windowing functions of MySQL and is a [...]

[...] on Hadoop and provides enterprises with the capability for data management, data governance, data access, security, integration, and operations. Any enterprise looking to incorporate Hadoop into its [...]

[...] the limitation of signing up for a paid subscription. Users can access all features of those mobile apps completely free. What’s really interesting here is that Microsoft is also selling paid [...]

[...] With a plethora of mobile apps, websites, and apps being built regularly, Load Impact has now released a cloud based [...]

[...] suitable for most applications and use cases that include big data, content management, mobile apps, customer data management, Internet of Things and more. The database provides agility and the [...]

[...] Data Analysis helps companies to take informed decisions and lead the businesses in the right direction. [...]

[...] . With enterprises increasingly relying on critical business intelligence that comes from data analysis, the importance of managing and querying data has increased. By providing enterprises with an [...]

[...] systems and analyzed using different analytic frameworks. Teradata, the industry leader in data analysis, has now launched its Teradata QueryGrid that optimizes data analytics across an enterprise. [...]

[...] document sharing, editing, tracking, and online storage to boot. This means that multiple users have real time access to the documents and spreadsheets without which any SME cannot [...]

[...] Hadoop supports many machine learning modeling and statistical techniques. It also permits multiple users to simultaneously and interactively manage the big data, gaining crucial business insights. [...]

[...] cloud from their existing IT systems. It virtualises applications and user desktops to allow multiple users to access business applications and desktops simultaneously. This enables greater [...]