LogStash: Concept Run-Through
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LogStash is an open source data processing pipeline that ingests data from multiple sources, transforms it, and sends it to outputs. It was created in 2013 to aggregate and manage log files. LogStash is now part of the ELK stack and provides insights into customer interactions. LogStash has inputs to specify data sources, filters to parse and enrich events, and outputs to send processed data to destinations like Elasticsearch.
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https://www.qubole.com/resources/white-papers/enabling-sql-access-to-data-lakes
Business Intelligence for users - Sharperlight
1) Sharperlight provides live access to data across an entire organization, regardless of where the data is stored or what platform it's on, through a single reporting and business intelligence solution.
2) It extends access to SAP Business One data and other third party applications and data sources.
3) The solution includes modules for querying, reporting, Excel integration, and publishing reports to the web.
the Data World Distilled
Bill Hayduk is the founder and CEO of QuerySurge, a software division that provides data integration and analytics solutions, with headquarters in New York; QuerySurge was founded in 1996 and has grown to serve Fortune 1000 customers through partnerships with technology companies and consulting firms. The document discusses the data and analytics marketplace and provides an overview of concepts like data warehousing, ETL, BI, data quality, data testing, big data, Hadoop, and NoSQL.
LinkedInSaxoBankDataWorkbench
This document discusses Saxo Bank's plans to implement a data governance solution called the Data Workbench. The Data Workbench will consist of a Data Catalogue and Data Quality Solution to provide transparency into Saxo's data ecosystem and improve data quality. The Data Catalogue will be built using LinkedIn's open source DataHub tool, which provides a metadata search and UI. The Data Quality Solution will use Great Expectations to define and monitor data quality rules. The document discusses why a decentralized, domain-driven approach is needed rather than a centralized solution, and how the Data Workbench aims to establish governance while staying lean and iterative.
OLAP & DATA WAREHOUSE
It is a presentation related to the Database management system topics- OLAP (online analytical Processing) and Data Warehouses.
Hope it helps you.
Date warehousing concepts
The document provides an overview of key concepts in data warehousing and business intelligence, including:
1) It defines data warehousing concepts such as the characteristics of a data warehouse (subject-oriented, integrated, time-variant, non-volatile), grain/granularity, and the differences between OLTP and data warehouse systems.
2) It discusses the evolution of business intelligence and key components of a data warehouse such as the source systems, staging area, presentation area, and access tools.
3) It covers dimensional modeling concepts like star schemas, snowflake schemas, and slowly and rapidly changing dimensions.
Data junction tool
In this presentation, you will find an explanation for ETL process which stands for Extraction, Transform and Load. This process is used to Extract data from different resources, transform them to a suitable form and load these data into a data warehouse. Then it will show some information about data junction tool which is used in the ETL process.
CTP Data Warehouse
This document is about Data Warehouse Tools such as:
OLAP (On – line Analytical Processing)
OLTP (On – Line Transaction Processing)
Business Intelligence
Driving Force
Data Mart
Meta Data
OLAP & Data Warehouse
It is a presentation regarding the Online Analytical Processing tools and other DBMS tools. Hope it helps you.
Archonnex at ICPSR
Archonnex is a new software architecture developed by ICPSR for digital assets management systems. Built using modern technology stack to meet the current and emerging needs of social science research.
Datawarehousing & DSS
The document discusses various concepts related to database design and data warehousing. It describes how DBMS minimize problems like data redundancy, isolation, and inconsistency through techniques like normalization, indexing, and using data dictionaries. It then discusses data warehousing concepts like the need for data warehouses, their key characteristics of being subject-oriented, integrated, and time-variant. Common data warehouse architectures and components like the ETL process, OLAP, and decision support systems are also summarized.
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Centralization of all log (application, docker, security, ...)
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Comprehensive Guide for Microsoft Fabric to Master Data Analytics
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Best Practices For Building and Operating A Managed Data Lake - StampedeCon 2016
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More from Manuj Aggarwal
IaaS Cloud Computing With OpenStack - Master Class (Handout)
In this course, you will Understand OpenStack architecture. Install and configure your own private cloud cluster. Learn Neutron, Cinder and Nova.
Get 90% OFF on the course Click On the Link below:
Part 1 - https://bit.ly/2QPjxFM
Part 2 - https://bit.ly/2BbN1Up
About
Website: https://www.tetratutorials.com/courses
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Udemy: https://www.udemy.com/user/manujaggarwal
Features of AWS - IAM
Why cloud hacks will keep happening? Unless you learn AWS IAM - you run the risk of running AWS resources insecurely!
You can learn Learn How To Avoid Any Costly Security Breaches Which Can Affect Your Business In As Little As In 3 Hours Or Less" in this course Aws IAM the-cloud-engineer-secure-cloud-handbook "90% OFF" here - http://rite.ly/wTKL
About
Website: https://courses.tetranoodle.com/
Facebook: https://www.facebook.com/tetranoodletech
Twitter: https://twitter.com/TETRANOODLE
Linkedin: https://www.linkedin.com/company/tetranoodle/
YouTube: https://www.youtube.com/channel/UCAiIK20nDamhq70NMnLG8wA
Instagram: https://www.instagram.com/tetranoodle/
Udemy: https://www.udemy.com/user/manujaggarwal
Manage Azure Cloud with ARM Templates
Microsoft Azure is a cloud computing platform that offers a broad set of global compute, storage, database, analytics, application, and deployment services that help organizations move faster, lower IT costs, and scale applications.
With Azure Resource Manager (ARM) you can deploy, delete, or update all resources for your solution in a single and coordinated operation by using templates.
For in-depth information visit Tetranoodle Technologies - http://rite.ly/waWL
TetraNoodle Technologies
Website: https://courses.tetranoodle.com/
Facebook: https://www.facebook.com/tetranoodletech
Twitter: https://twitter.com/TETRANOODLE
Linkedin: https://www.linkedin.com/company/tetranoodle/
YouTube:https://www.youtube.com/channel/UCAiIK20nDamhq70NMnLG8wA
Instagram: https://www.instagram.com/tetranoodle/
Udemy: https://www.udemy.com/user/manujaggarwal
What is Open VPN
What is Open VPN? Refer this Handout from Tetranoodle Technologies course to know more about PfSense and its usage.
For More Information visit Tetranoodle Technologies -- http://rite.ly/wa61
Website: https://courses.tetranoodle.com/
Facebook: https://www.facebook.com/tetranoodletech
Twitter: https://twitter.com/TETRANOODLE
Linkedin: https://www.linkedin.com/company/tetranoodle/
YouTube:https://www.youtube.com/channel/UCAiIK20nDamhq70NMnLG8wA
Instagram: https://www.instagram.com/tetranoodle/
Udemy: https://www.udemy.com/user/manujaggarwal
Why Use PfSense ?
PfSense is a free and open-source firewall and routing platform based on FreeBSD. It can be installed via live CD, USB, or serial connection. PfSense offers robust, highly available, free, scalable, and flexible network security management through features like firewall, NAT, VPN, DHCP server, load balancing, and multi-WAN support. It allows users to replace their existing router or firewall with an alternative that provides more control and customization of their network security and traffic routing.
LogStash in action
LogStash is a tool for ingesting, processing, and storing data from various sources into Elasticsearch. It includes plugins for input, filter, and output functionality. Common uses of LogStash include parsing log files, enriching events, and loading data into Elasticsearch for search and analysis. The document provides an overview of LogStash and demonstrates how to install it, configure input and output plugins, and create simple and advanced processing pipelines.
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LogStash: Concept Run-Through
- 4. What is LogStash? Definition Logstash is an open source, server-side data processing pipeline that ingests data from a multitude of sources simultaneously, transforms it, and then sends it to a specified output.
- 5. What is LogStash? Definition Jordan Sissel created the first version of LogStash in 2013, when he frequently found himself in the thick of aggregating and managing log files. Logstash continued to grow with the other components of the ELK stack and is now part of a comprehensive platform for log data and analysis, providing companies with valuable insights into how their customers interact with support system, e-commerce sites and so on.
- 6. What is LogStash? Importance of LogStash Open source data collection engine Centralize data processing of all types Normalized varying schema for business critical data Support for multiple and custom formats Extensibility via plugins
- 7. History of LogStash What is LogStash?
- 8. What Can LogStash Do?
- 9. Core Features What Can LogStash Do? Data ingestion workhorse Events enrichment and transformation Extensible plugin ecosystem It is highly available, scalable and elastic in nature. Pluggable pipeline architecture Horizontally scalable data processing pipeline Strong Elasticsearch and Kibana synergy Handles data of all shapes and sizes
- 10. LogStash Versatility What Can LogStash Do? Analysis Archiving Monitoring Alerting Search
- 12. Key Components and Terminology What Constitutes LogStash? INPUTS FILTERS OUTPUTS
- 13. Specify the source of events LogStash can handle variety of sources Most common ones are: Logs Network Web Data stores and streams Sensors and IoT Key Components and Terminology What Constitutes LogStash? INPUTS
- 14. Key Components and Terminology What Constitutes LogStash? FILTERS Responsible for parsing the incoming events May enrich the events Most common ones are: grok mutate drop
- 15. Key Components and Terminology What Constitutes LogStash? OUTPUTS Final stage of the pipeline Sends the enriched output to a specified destination LogStash can handle variety of destinations ElasticSearch AWS S3 buckets Files
- 16. How Does LogStash Work?
- 17. Files AWS S3 Elastic Search Grok GeoIP Drop Anonymize Inputs Filters Outputs LogStash Pipeline How Does LogStash Work?