Name: Introduction to Apache Tajo
Uploaded: 2016-02-19T00:31:55.000Z
Duration: 1 h 1 min 31 s
Description: Introduction to Apache Tajo (a demo from 2015)

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Apache

The Snowflake Cloud Data Platform is the eponymous data warehouse with, from the company in San Mateo, a cloud and SQL based DW that aims to allow users to unify, integrate, analyze, and share previously siloed data in secure, governed, and compliant ways. With it, users can securely access the Data Cloud to share live data with customers and business partners, and connect with other organizations doing business as data consumers, data providers, and data service providers.

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Apache Tajo was a big data warehouse build for Apache Hadoop, designed for low-latency and scalable ad-hoc queries, online aggregation, and ETL (extract-transform-load process) on large-data sets stored on HDFS (Hadoop Distributed File System) and other data sources. The product is now retired, but it is still open source and freely available (Apache 2.0 license). It's final release is version 0.11.3 from May 18, 2016.

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.

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Db2 on Cloud Standard

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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.

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Apache Tajo

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.

Introduction to Apache Tajo

Apache Tajo Demo at SOSCON 2015

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.

Introduction to Apache Tajo (a demo from 2015)

Apache Tajo is one of the SQL-on-hadoop systems. It aims at a data warehouse system for Web-scale data. Basically, it provides distributed scalable batch and interactive query processing via ANSI SQL. It also provides the virtual integration of a multitude of diverse data sources, thereby facilitating easy and rapid data integration which has been regarded as an essential, but heavy step in big data warehouse. My talk will introduce Apache Tajo including its 
overall architecture, current state and challenges, and discuss the advantages what Tajo can bring to users. In addition, I will give a demo of federated query analysis on multiple data sources with Tajo.

Speaker Bio: 
Hyunsik Choi, Ph.D., is one of committer and PMC members on Apache Tajo. He is a director of research at Gruter which is a big data company located in Palo Alto, and he have contributed to query plan optimizer and vectored query engine using modern hardware for Tajo. Recently, he has interests in runtime query compilation techniques 
using LLVM and modern hardware features.

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

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

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

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

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

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

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

Ability to explore data and develop insights

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.

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

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

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

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

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

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Deployment Types	On-premise
Operating Systems	Linux, Mac
Mobile Application	No

Apache Tajo

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Apache Tajo Demo at SOSCON 2015

Introduction to Apache Tajo

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What is Apache Tajo?

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Oracle Exadata

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SAP BW/4HANA

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