Big Data with Hadoop & Spark Training: http://bit.ly/2wLh5aF This CloudxLab Introduction to Linux helps you to understand Linux in detail. Below are the topics covered in this tutorial: 1) Linux Overview 2) Linux Components - The Programs, The Kernel, The Shell 3) Overview of Linux File System 4) Connect to Linux Console 5) Linux - Quick Start Commands 6) Overview of Linux File System
This document provides information on using Perl to interact with and manipulate databases. It discusses: - Using the DBI module to connect to databases in a vendor-independent way - Installing Perl modules like DBI and DBD drivers to connect to specific databases like Postgres - Preparing the Postgres database environment, including initializing and starting the database - Using the DBI handler and statements to connect to and execute queries on the database - Retrieving and manipulating database records through functions like SELECT, adding new records, etc. The document provides code examples for connecting to Postgres with Perl, executing queries to retrieve data, and manipulating the database through operations like inserting new records. It focuses on
Part 1 of a three part presentation showing how nutch and solr may be used to crawl the web, extract data and prepare it for loading into a data warehouse.
Intel Enhancements on Hadoop platform - HDFS Erasure coding using ISA-L library Encryption using AES-NI -HBase Go Big Cache
An introduction to Redis for the SQL practitioner, covering data types and common use cases. The video of this session can be found at: https://www.youtube.com/watch?v=8Unaug_vmFI
In this webinar, Ivan K will compare the performance and features of InfluxDB and Elasticsearch for common time-series workloads, specifically looking at the rates of data ingestion, on-disk data compression, and query performance. Come hear about how Ivan conducted his tests to determine which time-series db would best fit your needs. We will reserve 15 minutes at the end of the talk for you to ask Ivan directly about his test processes and independent viewpoint.
Webinar. August 21, 2019 By Robert Hodges and Altinity Engineering Team Simplified management is a prerequisite for running any data warehouse at scale. Altinity is developing a new web-based console for ClickHouse called the Altinity Cluster Manager. It's now in beta and offers simplified operation of ClickHouse installations for users. In this webinar we introduce the ACM and demonstrate use on Kubernetes as well as Amazon Web Services. Attendees are welcome to sign up as beta testers and provide feedback. Please join us to see the future of Clickhouse management!
The document discusses configuring Hadoop on a cluster. It recommends setting up the cluster with one master node hosting the naming node and job tracker, and two slave nodes hosting data nodes and task trackers. It describes configuring the server names by editing the masters and slaves files in the Hadoop configuration directory to specify the hostnames of the master and slave nodes.
Mydbops 9th Opensource Database Meetup - April 2021 Analyze Corefile and backtraces with GDB for Mysql/MariaDB on Linux
This document provides an introduction and overview of Sphinx, an open source search engine. It discusses Sphinx's features for searching and sorting, how it is implemented including its core components of indexer and searchd, and demonstrates how to install and configure Sphinx including its configuration file options.
Part 2 of a three part presentation showing how nutch and solr may be used to crawl the web, extract data and prepare it for loading into a data warehouse.
Postgres and Redis Sitting in a Tree | In today’s world of polyglot persistence, it’s likely that companies will be using multiple data stores for storing and working with data based on the use case. Typically a company will start with a relational database like Postgres and then add Redis for more high velocity use-cases. What if you could tie the two systems together to enable so much more?
This document discusses DevOps practices for big data applications. It describes using Docker containers to automate system testing of new application versions before upgrading clusters. Tests are run inside Docker containers to simulate the target environment. The document also details using SBT plugins to package applications into RPM files for deployment, including mapping application artifacts and run scripts. This allows deploying updated applications with a single command and managing permissions and immutability.