Results for Analytics

Paxata, Slalom Team Up To Enable Self-Service Data Lake in the Cloud Options for Amazon

To help IT and lines of business keep pace with surge in new data, Paxata is partnering with a services firm with deep Amazon expertise to make “data lakes in the cloud” easier to deliver.

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Latest Syncfusion Upgrade Accelerates Any Time, Anywhere Enterprise Dashboards for Real-Time Business

Aiming to make it easier for IT to provide dashboards for real-time business, Syncfusion, Inc. is shipping a major update to their Syncfusion Dashboard Platform.  IDN looks at the latest upgrades. 

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BigPanda Adds Search, Integrations To Help IT Ops Control 'Monitoring Chaos'

With more data to keep track of – and more monitoring tools that often don’t talk to one another – it can be hard for IT to quickly pinpoint the root cause of an alert.  BigPanda’s latest rollout adds scale and new integrations with popular tools to speed ‘mean time to resolution.’

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MapR's Spyglass Initiative Will Capture Deeper-Dive Analytics, Views for Improving Big Data Operations

This month, MapR Technologies is set to shine a brighter light on big data operations and management by capturing and displaying yet-unseen analytics for MapR Converged Data Platform components for NoSQL, Hadoop, and Spark.  IDN looks at how MapR's Spyglass could power the next leg in big data adoption.

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Attunity Brings Intelligent Data Management, Capacity Planning to Hadoop Data Lakes

One frustration for companies eyeing Hadoop has been a lack of operations visibility. Attunity is looking to eliminate this roadblock, thanks to the rollout of Attunity Visiblity for Hadoop’s new capabilities for intelligent data management designed for data lakes. 

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How IT and Business Can Work Together To Maximize Big Data ROI

Capturing big ROI from big data can be elusive at times. Chuck Currin, a principal data architects at Mather Economics, has some suggestions for how IT and business can work together to improve their odds for big impact.

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Exabeam’s CEO Brings Speedy Analytics, Teamwork To Fight Against Ransomware

Exabeam is taking a two-fisted approach to the fight against ransomware. It is bringing together speedy analytics with a strong collation of willing security vendors.  IDN talks with Exabeam CEO Nir Polak.

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Data Virtualization Powering Many Dimensions of Digital Transformation: Insights from Denodo

As architects pursue their digital enterprise projects, they are finding data virtualization is proving a valued ally for delivering reliable data integration and data sharing. IDN explores data virtualization use cases across analytics, APIs, cloud, mobile, IoT and more with Denodo execs.

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PlantState Suite 8.0 Adds Operational Risk Analytics, Dashboard for Industrial Cybersecurity

Cybersecurity solution provider PAS is shipping an update to its PlantState Suite software to help workers tackle security in the era of Internet of Things. PlantState Suite 8.0 adds smart and easy-to-use features to monitor plant safety, visualize alarm systems and more.

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Oracle GoldenGate Delivers Data for Real-Time Digital Enterprise from On-Premises and Cloud

Oracle GoldenGate data transfer and replication technologies, including a new cloud-based service, are making it faster and easier for customers to move data in real-time from diverse sources to where it needs to be – for analytics, mobile and cloud apps.   IDN speaks with Oracle’s Jeff Pollock.

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Microsoft, SnapLogic Team Up To Boost Business Insights from Azure, Cortana Analytics

Microsoft and SnapLogic are cooperating to help users of Azure and Cortana Analytics to boost both speed and scale of their business insights. IDN looks at SnapLogic’s Azureplex, a solution that simplifies many steps in the analytics lifecycle – with self-service data ingestion, data prep  and easy access to cloud storage.

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BlueData Alleviates More Big Data Complexities; Spins Hadoop and Spark Clusters in Minutes

BlueData is shipping an update to its EPIC (Elastic Private Instant Clusters) platform. The Spring edition adds features to solve vexing challenges that can complicate and slow down Big Data deployments.

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