AWS – Big Data

  • Export and import Kibana dashboards with Amazon ES
    by Ryan Peterson on March 8, 2021 at 5:55 pm

    Kibana is a popular open-source visualization tool designed to work with Elasticsearch. Amazon Elasticsearch Service (Amazon ES) provides an installation of Kibana with every Amazon ES domain. Users of Kibana can create visualizations and add them into a dashboard. As organizations invest time and resources into creating these dashboards, the need arises to reuse these

  • Build a DataOps platform to break silos between engineers and analysts
    by Dzenan Softic on March 8, 2021 at 5:18 pm

    Organizations across the globe are striving to provide a better service to internal and external stakeholders by enabling various divisions across the enterprise, like customer success, marketing, and finance, to make data-driven decisions. Data teams are the key enablers in this process, and usually consist of multiple roles, such as data engineers and analysts. However,

  • Build a data lake using Amazon Kinesis Data Streams for Amazon DynamoDB and Apache Hudi
    by Dhiraj Thakur on March 4, 2021 at 9:15 pm

    Amazon DynamoDB helps you capture high-velocity data such as clickstream data to form customized user profiles and online order transaction data to develop customer order fulfillment applications, improve customer satisfaction, and get insights into sales revenue to create a promotional offer for the customer. It’s essential to store these data points in a centralized data

  • Amazon EMR 2020 year in review
    by Abhishek Sinha on March 4, 2021 at 5:22 pm

    Tens of thousands of customers use Amazon EMR to run big data analytics applications on Apache Spark, Apache Hive, Apache HBase, Apache Flink, Apache Hudi, and Presto at scale. Amazon EMR automates the provisioning and scaling of these frameworks, and delivers high performance at low cost with optimized runtimes and support for a wide range

  • Effective data lakes using AWS Lake Formation, Part 1: Getting started with governed tables
    by Noritaka Sekiyama on March 3, 2021 at 5:07 pm

    Thousands of customers are building their data lakes on Amazon Simple Storage Service (Amazon S3). You can use AWS Lake Formation to build your data lakes easily—in a matter of days as opposed to months. However, there are still some difficult challenges to address with your data lakes: Supporting streaming updates and deletes in your data

Leave a comment

Your email address will not be published. Required fields are marked *