ArcGIS slow startup solution

ArcGIS Add Non offset Google Image

The video introduces how to add the 2023 Google map image in GIS software, and ensure that the road network data is superimposed without offset. The demonstration showed the high-definition Google image of Fuzhou Strait Olympic Sports Center, emphasizing the speed of image data scaling and layer addition. At the same time, it guides how to operate ArcGIS software to add remote sensing map layers in XYZ format, and explains the path packaging process and the characteristics of automatic data update. The video is suitable for GIS professionals, remote sensing data analysts and other groups interested in GIS technology, and provides practical skills for data acquisition and processing.

Geospatial data cloud common images, DEM data download and other common website recommendations

This teaching focuses on how to download common geographic data from the geospatial data cloud platform, including remote sensing images, vector data and other data sets in various formats. The detailed steps of downloading DEM data with specified spatial resolution (such as 30 meters) by using the advanced search function are demonstrated. At the same time, it points out the limitations of free data, such as incomplete coverage and inaccurate data, and suggests users to carefully screen the data quality. In addition, it also provides methods for obtaining data through community application, and introduces other commonly used data download resource websites at home and abroad. The content of the course is very practical, suitable for beginners of GIS, remote sensing data analysts, natural resource managers and those who are interested in accurate geographical data.

ArcGIS10. X Getting Started Guide

Introduces the introductory practical course for RGS10 series software, emphasizing the commonality from 10.0 to 10.7 and the iteration of performance improvement. The course is based on the recording of version 10.6 and is applicable to the learning of each version. The course content is updated according to the feedback and needs of the trainees, and has now expanded to 90 class hours, covering the solution of common problems in work. It provides ultra clear video, multiple speed playback options and course PPT operation data download support to enhance learning flexibility. Adapt to the two viewing forms of web page and APP to meet the needs of students with different foundations.

Python crawler: basic usage of Requests library

This content focuses on using Python's requests library to crawl web page data. This paper introduces the applicability and convenience of requests library as an HTTP library without transgenic technology in the process of obtaining web page data. The video explains how to install the library and how to use the GET method to obtain web objects. It also includes the explanation of HTTP status codes, which help developers identify the response status of HTTP requests. It emphasizes the importance of text coding, and it is necessary to set appropriate coding when processing crawled text data to avoid garbled code. In addition, the video provides a concrete code example demonstration of extracting web page text information through the requests library, which is intended to help developers understand how to use this tool to extract data.

Big data architecture and ecosphere 01

The video content focuses on three stages of the development of big data technology, of which the era of big data 1.0 covers 2006-2009, and is marked by the Hadoop open source project established by the Apache Foundation and related technologies (such as HDFS, MapReduce, HBase), which mainly solves the problem of large-scale structured data batch processing. From 2009 to 2015, the 2.0 era took Spark as the mainstream computing engine, focusing on structured data processing and the emergence of multiple stream computing engines. Since 2015, the 3.0 era has focused on unstructured data processing, data sharing and solving data islands, and promoted the integration of big data, artificial intelligence and cloud computing technology. The content points out that big data technology has different architectures according to the needs of different industries, and emphasizes the continuous updating of technology and business adaptability.

Skills to learn for IT operation and maintenance position

What stage is China's big data level at?

China's big data development is facing challenges in hardware, software and awareness, which is still in its infancy. The development process includes data preparation, storage, calculation, analysis and value presentation. At this stage, there is insufficient understanding of the value of big data, and data in relevant fields are not fully utilized. The storage link depends on imported core chips; The localization degree of virtualization products in computing management is low; The analysis tools and databases mainly use foreign technologies. Localization progress can strengthen data security and enhance value display. This section is suitable for professionals who focus on local technology development, data security and big data application practice.

Current situation of big data in the United States

The United States, led by a large number of information technology giants, takes a global lead in the development and application of big data technology, especially in technology research and development, commercial applications and national security maintenance. Emphasizing the importance of data sovereignty and security, the United States has strengthened its ability to obtain data and established its data sovereignty strategy through laws. The example of clarifying the bill on legal use of overseas data highlights that data security has become a global issue. The top-level design of the United States includes seven dimensions, aiming to establish a future oriented big data innovation ecology, involving technology, open sharing, privacy and security, and at the same time, it focuses on the training and introduction of big data talents to maintain its global leading position.