Name: Meetup: Apache Kylin and Extreme OLAP in the Cloud
Uploaded: 2020-10-20T20:11:16.000Z
Duration: 1 h 3 min 2 s
Description: Apache Kylin and Extreme OLAP in the Cloud

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Managed IT Service

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Setup and Installation Errors: Several users have reported encountering errors during the setup and installation process, including issues with ads and online options. Some users have also faced difficulties in using Apache Kylin without an internet connection.

Slow Data Downloads: The slow speed of data downloads has been mentioned by multiple reviewers as a hindrance, making it challenging to efficiently query data in SQL.

Instability with Large Volumes of Data: Some users have experienced instability when dealing with large volumes of data in Apache Kylin. This can impact the overall performance and reliability of the software for these users.

Apache Kylin has become a valuable tool for businesses seeking to streamline data analytics and improve team productivity. Users have found that Apache Kylin makes it easier to query data from Hadoop in real-time, allowing for quicker insights and decision-making. The software's ability to create data links and structure big queries using SQL has been highly advantageous for users, enabling them to effectively analyze and gain insights from large datasets. Additionally, Apache Kylin's functionality as a graph database has allowed users to visually display hierarchical data, enhancing their understanding of complex relationships within the data.

With its multi-dimensional cube and precalculation technology on Hadoop and Spark, Apache Kylin solves the business problem of achieving near constant query speed regardless of the increasing volume of data. This capability has made it a top choice for organizations seeking high-performance open-source OLAP engines for big data analytics. Users have noted that Apache Kylin significantly increases the productivity of analytics operations in firms of any size, with a remarkable query latency of less than a second even when dealing with trillions of records.

The software offers versatile use cases for businesses across various industries. Users leverage Apache Kylin to perform tasks such as analyzing big data, monitoring behavior on Hadoop Spark, conducting payment analysis, and generating data for recommendations. Its support for defining multi-dimensional models and precalculating cubes for analytics provides users with the flexibility they need to derive meaningful insights from their data. Additionally, users appreciate the security and support provided by Apache Kylin, giving them peace of mind in their data analysis endeavors.

Resourceful and Highly Intelligent Software: Users have found Apache Kylin to be a resourceful and highly intelligent software in creating solutions for big data analysis. Several reviewers have appreciated its ability to handle very large data sets with multi-dimensional analysis capability on Hadoop Spark.

Near-Constant Query Speed: Many users have praised the near-constant query speed achieved by Apache Kylin. This feature allows users to perform data analysis efficiently, even when dealing with large amounts of data.

Easy-to-Use User Interface: Reviewers have consistently mentioned the interactive and straightforward user interface of Apache Kylin as one of its strengths. The simplicity of the UI makes it easy for users to navigate through the software, build cubes, monitor progress, and perform queries using ANSI SQL.

Apache Kylin is an open source, distributed Analytical Data Warehouse for Big Data; it was designed to provide OLAP (Online Analytical Processing) capability in the big data era. By renovating the multi-dimensional cube and precalculation technology on Hadoop and Spark, Kylin is able to achieve near constant query speed regardless of the ever-growing data volume. Reducing query latency from minutes to sub-second, Kylin brings online analytics back to big data.

DB2 is a family of relational database software solutions offered by IBM. It includes standard Db2 and Db2 Warehouse editions, either deployable on-cloud, or on-premise.

Db2 Standard Edition

Db2 Advanced Edition

Db2 on Cloud Standard

Db2 on Cloud Enterprise

Db2 Warehouse on Cloud Flex One

Db2 Warehouse on Cloud Flex

Db2 Warehouse on Cloud Flex Performance

Db2 Warehouse on Cloud Flex for AWS

Db2 Warehouse on Cloud Flex Performance for AWS

Db2 on Cloud Lite

Google's BigQuery is part of the Google Cloud Platform, a database-as-a-service (DBaaS) supporting the querying and rapid analysis of enterprise data.

Standard edition

Enterprise edition

Enterprise Plus edition

Google BigQuery

Apache Kylin

A Data Warehouse Appliance (DWA) is generally a pre-configured architecture specifically dedicated to big data analytics and as such emphasizes simplicity, focus, and high performance with data over general computational needs.

Data Warehouse

Apache Kylin 101 - How to Deliver Sub-Second Analytics on Massive Datasets

Extreme OLAP Analytics with Apache Kylin - Big Data Application Meetup

The Apache Software Foundation provides support for the Apache community of open-source software projects. The Apache projects are characterized by a collaborative, consensus based development process, an open and pragmatic software license, and a desire to create high quality software that leads the way in its field.

We consider ourselves not simply a group of projects sharing a server, but rather a community of developers and users.

Apache Kylin and Extreme OLAP in the Cloud

Meetup: Apache Kylin and Extreme OLAP in the Cloud

Learn everything you need to know in order to understand the basics of Apache Kylin, its main use cases, and clear steps for deploying it in your organization. See for yourself how extreme OLAP in the cloud will become an integral part of your new generation analytics software stack.

Basics of OLAP 2:20
Challenges in Big Data 5:43
Modern OLAP 10:42
Demo 32:06
Q&A 49:20

Many thanks to the Business Intelligence in Santa Barbara Meetup group and Invoca for making this event possible. Check out more events from this Meetup here: https://www.meetup.com/Santa-Barbara-Business-Intelligence-Meetup/

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About Kyligence:  
Kyligence was founded in 2016 by the original creators of Apache Kylin™,  the leading open source OLAP for Big Data. Kyligence offers an Intelligent OLAP Platform to simplify multi-dimensional analytics for the cloud data lake. Its AI-augmented engine detects patterns from most frequently asked business queries, builds governed data marts automatically, and brings metrics accountability to the data lake to optimize the data pipeline and avoid excessive numbers of tables. It provides a unified SQL interface between cloud object stores, cubes, indexes, and underlying data sources with a cost-based smart query router for business intelligence, ad-hoc analytics, and data services at petabyte scale. 

Kyligence Cloud is a big data platform offering data management and analytics services in the cloud. Leveraging cloud-native computing and storage infrastructure, Kyligence Cloud enables fast, elastic, and cost-effective analytics innovation with any data lake and at any scale.


Test Drive today with $300 worth of free usage: https://bit.ly/3xZkP4f
Or try Kyligence's advanced features from your browser (100% free): https://bit.ly/3IcCN8d

For more information, please visit: https://kyligence.io/
For more info about Apache Kylin: https://kylin.apache.org/

Connect with us:  
LinkedIn: https://www.linkedin.com/company/kyligence
Enterprise Twitter: https://twitter.com/kyligence  
Open Source Twitter: https://twitter.com/ApacheKylin  

#BigData #DataScience #BusinessAnalytics #Data #BigDataAnalytics #DataAnalysis #AI #DataAnalytics #Cloud #Analytics #DataProduct #DataMesh #SaaS #AWS #CloudSolutions

A data warehouse is usually a relational database, designed specifically for data analysis instead of standard transactional processing

High-Volume Data Processing

The product's ability to efficiently process large amounts of data.

Data Warehouse Management

The effectiveness of the product’s tools for loading, transforming, sharing, and exploring data, schemas, and dependencies.

Administrative Automation

The product’s capacity to automate administrative tasks such as patching, scaling, and creating backups.

Self-Optimization

The product’s capability to monitor and adjust internal metrics and systems to keep performance as high as possible.

Data Modeling

A data model is a diagram or flowchart that illustrates the relationships between data

Data model creation

Ability to create and maintain data models using a graphical tool to define relationships between data

Data Exploration

Ability to explore data and develop insights

Visualization

The product’s support and tooling for analysis and visualization of data.

Data Security

Tools and features that help keep data secure from unauthorized access or internal exposure.

At-Rest Data Encryption

Data at rest is encrypted, requiring decryption to read the underlying data.

In-Transit Data Encryption

Data is transmitted in an encrypted state, preventing interception of raw in-flight data.

In-Use Data Encryption

Data remains encrypted even when stored in non-persistent storage (RAM, CPU caches, and CPU registers). This prevents access to data through malware on an individual device.

Data Redaction

The product's capability to return redacted data in place of actual data when queried. For instance, a redacted query for the phone number 555-5555 could return ***-**55.

Data Masking

The product's capability to use real data to create false data with an identical structure. For instance, this could be used to generate testing data or training data that reflects the data structure without exposing sensitive information.

Access Control and Security

Access control means being able to determine who has access to which data.

Multiple Access Permission Levels (Create, Read, Delete)

Multiple access permission levels means that different levels of users have different rights.

Single Sign-On (SSO)

Allows users to use one set of login credentials to access multiple applications

Location-Based Data Governance

Refers to how well the software enables users to comply with data privacy standards regarding the use of precise location data for customers.

Multi-User Support (named login)

Named model access means that users have access based on name and password.

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Apache Kylin

Overview

What is Apache Kylin?