Tugdual Grall
MapR Technologies
France
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Past articles by Tugdual:
MapR Data Science Refinery Tutorial
The MapR Data Science Refinery (DSR) is an easy-to-deploy and scalable data science toolkit with native access to all MapR Data Platform assets and out-of-the-box security. MapR’s DSR includes tools such as the Apache Zeppelin notebook to facilitate collaboration plus Apache Spark, Apache Drill and Apache Hive for data processing and preparation. You can find out more about the role of the Data… → Read More
Getting started with MapR-DB Table Replication
Getting started with MapR-DB Table Replication Introduction MapR-DB Table Replication allows data to be replicated to another table that could be on on the same cluster or in another cluster. This is different from the automatic and intra-cluster replication that copies the data into different physical nodes for high availability and prevent data loss. This tutorial focuses on the MapR-DB Table… → Read More
Getting Started with MapR Client Container
Introduction The MapR Persistent Application Client Container (PACC) is a Docker-based container image that includes a container-optimized MapR client. The PACC provides secure access to MapR Converged Data Platform services, including MapR-FS, MapR-DB, and MapR Streams. The PACC makes it fast and easy to run containerized applications that access data in MapR. In this article, you will learn… → Read More
Getting Started With Kafka REST Proxy for MapR Streams
Introduction MapR Ecosystem Package 2.0 (MEP) is coming with some new features related to MapR Stre... → Read More
Getting Started with Kafka REST Proxy for MapR Streams
Introduction MapR Ecosystem Package 2.0 (MEP) is coming with some new features related to MapR Streams: * Kafka REST Proxy for MapR Streams provides a RESTful interface to MapR Streams and Kafka clusters, making it easy to consume and produce messages as well as perform administrative operations. * Kafka Connect for MapR Streams is a utility for streaming data between MapR Streams and Apache… → Read More
Getting Started with MQTT and Java
MQTT (MQ Telemetry Transport) is a lightweight publish/subscribe messaging protocol. MQTT is used a ... → Read More
Setting Up Spark Dynamic Allocation on MapR
Apache Spark can use various cluster managers to execute applications (Standalone, YARN, Apache Mesos). When you install Apache Spark on MapR, you can submit an application in Standalone mode or by using YARN. This blog post focuses on YARN and dynamic allocation, a feature that lets Spark add or remove executors dynamically based on the workload. You can find more information about this feature… → Read More
Getting started with Druid and MapR Streams
Druid is a high-performance, column-oriented, distributed data store. Druid supports streaming data ingestion and offers insights on events immediately after they occur. Druid can ingest data from multiple data sources, including Apache Kafka. This article will guide you into the steps configure Druid, to ingest data from MapR Streams. MapR Streams is a distributed messaging system for streaming… → Read More
Getting Started with Apache Flink and MapR Streams
Introduction Apache Flink is an open source platform for distributed stream and batch data processing. Flink is a streaming data flow engine with several APIs to create a data streams-oriented application. For an overview of Apache Flink, download a free pdf of the book Introduction to Apache Flink: Stream Processing for Real Time and Beyond. It is very common for Flink applications to use… → Read More
Getting started with Apache Flink and Kafka
Introduction Apache Flink is an open source platform for distributed stream and batch data processi... → Read More
Getting Started with Sample Programs for Apache Kafka 0.9
Streaming data is of growing interest to many organizations, and most applications need to use a pro... → Read More
Getting Started with Sample Programs for Apache Kafka 0.9
Streaming data is of growing interest to many organizations, and most applications need to use a producer-consumer model to ingest and process data in real time. Many messaging solutions exist today on the market, but few of them have been built to handle the challenges of modern deployment related to IoT, large web based applications and related big data projects. → Read More
The Publish-Subscribe Model for Real-Time Data Streams
In this week's whiteboard walkthrough, Tugdual Grall, technical evangelist at MapR, explains the advantages of a publish-subscribe model for real-time data streams. Here's the transcription: Hello I'm Tug and I'm working as a technical evangelist at MapR. Let's talk today about data streams. As you know, MapR is a converged data platform that allows you to store data, process data of any type,… → Read More
Pagination with Couchbase
If you have to deal with a large number of documents when doing queries against a Couchbase cluster ... → Read More
Using Apache Drill REST API to Build ASCII Dashboard With Node
Apache Drill has a hidden gem: an easy to use REST interface. This API can be used to Query, Profile... → Read More
Using Apache Drill REST API to Build ASCII Dashboard With Node
Apache Drill has a hidden gem: an easy to use REST interface. This API can be used to Query, Profile and Configure Drill engine. In this blog post I will explain how to use Drill REST API to create ascii dashboards using Blessed Contrib. The ASCII Dashboard looks like Prerequisites * Node.js * Apache Drill 1.2 * For this post, you will use the SFO Passengers CSV file available here.* Download… → Read More
How to implement Document Versioning with Couchbase
Introduction Developers are often asking me how to "version" documents with Couchbase 2.0... → Read More
Deploy your Node/Couchbase application to the cloud with Clever Cloud
Introduction Clever Cloud is the first PaaS to provide Couchbase as a service allowing developers t... → Read More
SQL to NoSQL
IntroductionDuring my last interactions with the Couchbase community, I had the question how can... → Read More
Big Data... Is Hadoop the good way to start?
In the past 2 years, I have met many developers, architects that are working on “big data” projects.... → Read More