data engineering webinars webinars

How Apache Spark 3.0 and Delta Lake Enhance Data Lake Reliability


Available on-demand Apache Spark ™️ has become the de facto open source standard for big data processing due to its ease of use and performance. And the open source Delta Lake project enhances Spark’s lead with new capabilities like ACID transactions, Schema Enforcement and Time Travel.


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Developing ML-enabled data pipelines on Databricks using IDE & CI/CD


On-demand webinar Data & ML projects bring many new complexities beyond the traditional software development lifecycle. Unlike software projects, after they were successfully delivered and deployed, they cannot be abandoned but must be continuously monitored if model performance still satisfies all requirements.


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Big Data in Echtzeit Schnell und skalierbar mit Spark MapR


Nehmen Sie an diesem Webinar teil und erfahren Sie, wie Sie mithilfe der MapR Converged Data- und Talend Real-Time Big Data-Plattformen Datenintegrationen für die schnelle Transformation von Daten in Anwendungen der nächsten Generation beschleunigen und skalieren können.


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Scale Real-time Big Data Projects Faster with Spark MapR


As your business generates more and more data to be analyzed, you have to deliver it. In real time. At scale. Right now. How can you and your organization keep up?


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How Spark is Enabling the New Wave of Converged Cloud Applications


Apache Spark has become the de-facto compute engine of choice for data engineers, developers, and data scientists because of its ability to run multiple analytic workloads with a single, general-purpose compute engine.


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How Spark is Enabling the New Wave of Converged Applications


Apache Spark has become the de-facto compute engine of choice for data engineers, developers, and data scientists because of its ability to run multiple analytic workloads with a single compute engine.


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How Xactly Built a Converged Data Platform with Hadoop Spark Solr and More


Big data presents both enormous challenges and incredible opportunities for companies in today’s competitive environment. To deal with the rapid growth of global data, companies have turned to Hadoop to help them with performing real-time search, obtaining fast and efficient analytics, and predicting behaviors and trends.


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The Big Data Blender Converging Hadoop Spark Streaming and more


The growing number and variety of big data technologies is rewriting the book on enterprise application development and deployment. Which tools are right for the job and where do they fit in your data pipeline?


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Full Speed Ahead Hadoop and Spark for Big Data Applications


Mission-critical systems are pretty needy. They require capabilities such as high availability, disaster recovery, multi-tenancy and resource management to power data applications without fail and meet business service level agreements.


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Give Your Enterprise a Spark How to Deploy Hadoop with Spark in Production


How are leading enterprises deploying Hadoop with Spark in production? What key considerations should you consider to put your Spark-based innovative app to work faster? In this webinar on October 8th at 10 am PT/1 pm ET, you’ll hear real-life examples of companies turning data into action using Spark and Hadoop.


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Let Spark Fly Advantages and Use Cases for Spark on Hadoop


Watch this webinar recording to hear MapR and Databricks uncover practical advantages for having the full set of Spark technologies at your disposal and reveal the benefits for running Spark on Hadoop.


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Predicting flight delays with Apache Spark Machine Learning


Join us for a complimentary webinar to learn more about Apache Spark ‘s MLlib, which makes machine learning scalable and easier with ML pipelines built on top of DataFrames.


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