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#Hadoop installation on windows 7 64 bit how to
#Hadoop installation on windows 7 64 bit mac os x
#Hadoop installation on windows 7 64 bit install
#Hadoop installation on windows 7 64 bit driver
#Hadoop installation on windows 7 64 bit archive

Download the JDBC driver (.jar file) from the Amazon Athena User Guide on Amazon's website.

Then click Latest Release and follow the on-screen instructions to install. Choose your operating system, choose "OpenJDK 8 (LTS)", and choose "Hotspot".

#Hadoop installation on windows 7 64 bit install

If Java is not already installed on your computer, download and install the latest Java 8 version.

Sudo chmod 755 /opt/tableau/tableau_driver/jdbc/.jarįollow these steps to install the JDBC driver for Amazon Athena on your Mac computer:

Set permissions so the file is readable by the "tableau" user, replacing with the name of the driver you downloaded:.

Copy the downloaded driver file to the location, replacing with the path and with the name of the driver you downloaded:.

Sudo mkdir -p /opt/tableau/tableau_driver/jdbc If the directory doesn't exist, create it and make sure it's readable by the "tableau" user. jar file, copy it to this location on the Linux computer:

Download the latest JDBC driver ( odps-jdbc-jar-with-dependencies.jar file) from the Aliyun GitHub site.

Note: The Alibaba MaxCompute driver is a JDBC driver, so it doesn't require an odbc.ini file. To install on Linux, follow these instructions to download the driver, put it in the correct location, and set the appropriate permissions. We recommend that you install the latest MySQL 8.0 driver. If you don't have the MySQL driver installed, you can get it from the MySQL website.

UsageCount=1 Īlibaba Data Lake Analytics for MySQL uses MySQL drivers.

After you install the driver, add entries similar to these to the /etc/odbcinst.ini file, if they're not already there:.

You can try using MySQL driver version 5.3.13, available from the archives on the My SQL website. Note: There have been some cases where using the Ubuntu MySQL 8.0 driver causes problems or doesn't connect.

#Hadoop installation on windows 7 64 bit archive

On Debian and Ubuntu Linux distributions, download the TAR archive and then follow the instructions on the MySQL website:.

rpm file and then run the following command:

On RHEL and RHEL-like Linux distributions, download the.

Select your operating system from the drop-down list.

Reference Materials Toggle sub-navigationĪlibaba AnalyticDB for MySQL uses MySQL drivers.

#Hadoop installation on windows 7 64 bit mac os x

Software requirements include: Windows 7+, Mac OS X 10.10+, Ubuntu 14.04+ or CentOS 6+ VirtualBox 5+. All required software can be downloaded and installed free of charge. This course relies on several open-source software tools, including Apache Hadoop.

#Hadoop installation on windows 7 64 bit how to

How to find your hardware information: (Windows): Open System by clicking the Start button, right-clicking Computer, and then clicking Properties (Mac): Open Overview by clicking on the Apple menu and clicking “About This Mac.” Most computers with 8 GB RAM purchased in the last 3 years will meet the minimum requirements.You will need a high speed internet connection because you will be downloading files up to 4 Gb in size. (A) Quad Core Processor (VT-x or AMD-V support recommended), 64-bit (B) 8 GB RAM (C) 20 GB disk free. No prior programming experience is needed, although the ability to install applications and utilize a virtual machine is necessary to complete the hands-on assignments. This course is for those new to data science.

* Install and run a program using Hadoop! * Summarize the features and value of core Hadoop stack components including the YARN resource and job management system, the HDFS file system and the MapReduce programming model. * Provide an explanation of the architectural components and programming models used for scalable big data analysis. * Identify what are and what are not big data problems and be able to recast big data problems as data science questions. * Get value out of Big Data by using a 5-step process to structure your analysis. * Explain the V’s of Big Data (volume, velocity, variety, veracity, valence, and value) and why each impacts data collection, monitoring, storage, analysis and reporting. * Describe the Big Data landscape including examples of real world big data problems including the three key sources of Big Data: people, organizations, and sensors. It provides an introduction to one of the most common frameworks, Hadoop, that has made big data analysis easier and more accessible - increasing the potential for data to transform our world!Īt the end of this course, you will be able to: It is for those who want to start thinking about how Big Data might be useful in their business or career.

It is for those who want to become conversant with the terminology and the core concepts behind big data problems, applications, and systems. Interested in increasing your knowledge of the Big Data landscape? This course is for those new to data science and interested in understanding why the Big Data Era has come to be.