Logtrust Real-time Big Data Analytics

BrightTALK

Logtrust is designed for fast data exploration and interaction with real-time visualizations on complex data streams and historical data at rest such as. Machine behavior during attacks. Network traffic flow analytics. Firewall events. Application performance metrics. Real-time threat hunting and cyber security. IoT analytics. Explore Petabytes of data with Logtrust without worrying about storage costs or indexers, analyze billions of events per day with ultra-low latency queries, and experience unique real-time performance on trillions of events with over +150,000 ingest EPS per core, +1,000,000 search EPS per core, and +65,000 complex event processing EPS per core.
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Spotlight

Telecom services are becoming increasingly commoditized, and telecom companies or telcos are trying to break out of this impasse both strategically and operationally. Using predictive analytics techniques could be the solution. While Predictive Analytics is not an altogether new area, the telecom industry is relatively low in adoption of predictive analytics, data mining and operations research in its daily operations. This white paper describes the various ways by which analytics can enhance revenue, reduce churn and increase sales, thereby offering a telco several opportunities to outthink and outpace its competitors. We also look at possible areas of focus for telcos in terms of predictive analytics.


OTHER ON-DEMAND WEBINARS

Data Science Operations and Engineering: Roles, Tools, Tips, & Best Practices

BlueData

Join this webinar to learn how to bring DevOps agility to data science and big data analytics.It’s no longer just about building a prototype, or provisioning Hadoop and Spark clusters. How do you operationalize the data science lifecycle? How can you address the needs of all your data science users, with various skillsets? How do you ensure security, sharing, flexibility, and repeatability?In this webinar, we’ll discuss best practices to:-Increase productivity and accelerate time-to-value for data science operations and engineering teams.-Quickly deploy environments with data science tools (e.g. Spark, Kafka, Zeppelin, JupyterHub, H2O, RStudio).-Create environments once and run them everywhere – on-premises or on AWS – with Docker containers.-Provide enterprise-grade security, monitoring, and auditing for your data pipelines.

Meet the needs of your Modern Data Center & Big Data Analytics with a Data Lake

Get the scalability you want and enable the analytics you need, with a scale-out storage infrastructure for data consolidation. Gain Big Data accessibility using traditional and next-generation access methods to gain value. EMC Big Data & Analytics Solutions Experts invite you to join us for a free one-hour webinar...

Big Data Analytics on the Cloud: Deploy big data applications with Redshift, S3, and Google BigQuery

MicroStrategy

If your company would like to run ad-hoc analyses on massive datasets, and build enterprise reports and dashboards, our integration with Amazon Redshift, Google BigQuery, and S3 can get you on the way. Watch this on-demand webcast to learn: How to blend cloud and on-premise data to visualize information, both for IT and business users. How to seamlessly connect to data stored in Google BigQuery, Redshift, and S3, via MicroStrategy's ODBC connectors. VLDB optimization and tuning techniques to maximize performance with Google BigQuery, Redshift, S3, and MicroStrategy.

Finally, Open Source ETL on Hadoop is Here…and it’s Easy

Bitwise

Here Hadoop, once seen as the possible end to ETL, has instead fueled rapid evolution of ETL tools in recent years as enterprises seek to leverage the low cost processing power of the open source platform while extending the capabilities of their traditional EDW / BI investments

Spotlight

Telecom services are becoming increasingly commoditized, and telecom companies or telcos are trying to break out of this impasse both strategically and operationally. Using predictive analytics techniques could be the solution. While Predictive Analytics is not an altogether new area, the telecom industry is relatively low in adoption of predictive analytics, data mining and operations research in its daily operations. This white paper describes the various ways by which analytics can enhance revenue, reduce churn and increase sales, thereby offering a telco several opportunities to outthink and outpace its competitors. We also look at possible areas of focus for telcos in terms of predictive analytics.

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