In this YouTube video titled "kuliah Tamu 'Database Zaman Now'", the speaker provides an overview of the upcoming database course and emphasizes the importance of attendance and equipment setting. They introduce the moderator and guest speaker, discussing their expertise in database analysis. The speaker then explains the concepts of relational and non-relational databases, highlighting their differences and benefits. They also delve into topics such as data integrity, data querying challenges, microservice architecture, and automating tasks using databases. The speaker discusses steps to install Docker and set up a Docker environment for a workshop, as well as setting up a database for a project. They also touch on using Docker on Linux-based operating systems and provide insights into setting up correction containers. Overall, the video offers valuable information on databases and their applications in various contexts.
00:00:00 In this section from a YouTube video titled "kuliah Tamu "Database Zaman Now", the speaker is discussing the upcoming database course and reiterating the requirements for attendance and equipment setting. The speaker emphasizes the importance of keeping the camera on and the microphone off during the lecture to facilitate a smooth session for future lectures. The moderator, Ibu Fasa Rizky, is also mentioned as being an expert in database analysis, having graduated from both S1 and S2 levels in Electrical and Computer Engineering from Telkom University Surabaya. The speaker goes on to introduce Pak Yohanes, an alumnus of the University of Indonesia Faculty of Computer Science and Statistical Science who has now become a junior data engineer at Doku. The speaker further explains the concept of the digital collection of data and how it is similar to common clothing storage, making it easier to find what you need. The overview of the lecture's content is provided as an introduction to the database course and the importance of using technology in organizing data.
00:05:00 In this section, it is explained that there are two types of databases that are commonly used in the current era, and these are the relational database and the non-relational database. A relational database is one where data is stored in tables, and each table consists of pre-determined columns. Information such as name, phone number, address, and age can be found in a table customer of a relational database. A non-relational database, on the other hand, allows for flexibility in data retrieval, where the data input into the table can be in any format. Rules and structures for this type of database are abstract and can change without prior notice. In non-relational databases, the structure is often referred to as abstracture. In addition, these databases have different types of structures: completely non-structured and semi-structured. Semi-structured databases allow for data to be stored in columns and rows, but the structure can be changed periodically, whereas completely non-structured databases are abstract and can change without notice. In this case, the data can be implemented without errors, and a suitable example would be a document-oriented database, such as MongoDB. The data in a relational database is generally stored in tables, making it vertically organized. Conversely, the data can be horizontally organized in a non-relational database. The use of a non-relational database is relatively new, but with the advent of Monggo di B, these databases can handle updates like a join. In the past, a database team would handle the transaction, but this would create additional work. In addition to saving data, both types of databases have specific benefits: relational databases provide consistency and durability, and non-relational databases are flexible and can handle dynamic data. It is important to choose the right type of database for your specific needs, and a similar coordination for the reliability and sustainability of all processes during the transaction is important.
00:10:00 In this section, the speaker discusses the concept of data integrity in databases, specifically in the context of transactions and consistency in relational databases. The speaker explains that data integrity is essential to ensure that data can be restored to a previous stateif required. In addition, the speaker explains the concept of isolation, which requires transactions that are still in progress to be isolated from other transactions until they are complete. The speaker also explains the importance of durability, which ensures that data is saved in a consistent state even if the system is restarted or the transaction fails. The speaker provides examples of how to insert or update data and how to ensure that the data is restored to a consistent state in case of errors. The speaker also emphasizes the need for proper data validation and error handling to maintain data integrity.
00:15:00 In this section, the speaker discusses the challenges of querying data from a database. The data that enters the database can take on different forms, making it difficult to search and retrieve specific information. The longer the query, the more difficult it becomes, even for future use. The speaker suggests that using indexing can help to speed up the query process. However, they also note that the CPU and RAM may not be able to handle an overwhelming amount of data in the index. The speaker suggests that using SequelDB, which is still in beta testing, could be a better option for joining tables. Additionally, the speaker notes that certain data types, such as media, may require special handling. The speaker suggests that customer service forms, such as messaging and chat, can be useful for storing and processing customer data. They also mention that identity authentication can be helpful for user information, such as first, middle, and last names. The speaker returns to the concept of BMS, which has two components: online transactions processing and analytical processing. While both components handle data processing, the difference lies in the complexity of the queries. The speaker explains that simple queries can be processed quickly, while more complex ones require more time. The types of data in a simple query may be transactional data or transactional details. The speaker explains that a complex query would involve using subqueries or tables, which would require more processing time. In conclusion, the key to effective data querying is to use indexing, special handling for certain data types, and appropriate data processing techniques for the desired components of BMS.
00:20:00 In this section, the speaker discusses the requirements for forecasting data using transactions and reporting from a time-series database. He explains that because transactions occur on a daily basis, the resulting report from the Leading Edge Transaction Processing (LETP) stored in Olaf, which is a time-series database based on time, is complex. The speaker suggests starting with a Mini workshop to discuss the theoretical aspects of the topic before continuing. The workshop is intended for Mbak Emil, the moderator, to address any questions and for the speaker to provide answers. The workshop is expected to take place today, and those interested can submit their resumes and link them through the room chat. The speaker also discusses the use of the OLTP and OLED systems, the importance of minimizing costs by moving data between servers, and the need to backup data for future reference.
00:25:00 In this section, the speaker discusses the concept of microservice architecture, especially in the context of databases. The advantages of microservices, as opposed to having all services running on a single database, are highlighted. The speaker also talks about how to migrate from a single-database setup to a microservice one, including the process of separating databases onto different servers.
The speaker explains that microservices usually have similar data types, but variations can occur, such as in cases where different financial institutions need to be associated with different services. They also discuss how to enable communication between different microservices, making use of APIs and other methods of communication.
In addition, the speaker talks about how to automate tasks such as updates, backups, and maintenance through the use of docker, which allows for containerized applications. This method enables faster updates, more efficient maintenance, and reduced manual labor.
Finally, the speaker mentions how they will use this new information in a workshop they will be leading and urges others to attend for more knowledge and skills development.
00:30:00 In this section of the video, the speaker discusses how to use a database in order to automate tasks for online shopping platforms such as Shopee and Tokopedia. They describe how to use an API to connect the database to the platform and to track transactions, such as inserting purchases into the database. They also describe the use of the CPU, RAM, and storage in the cloud to scale up or scale down as needed. The speaker mentions their use of Jupyter notebooks to share code and work with others, and the installation of software on laptops or other devices as needed. The speaker concludes by introducing their services and offering assistance to viewers with any questions or needs they may have.
00:35:00 In this section, the speaker presents steps to install Docker and setting up a Docker environment for a Mini workshop. The speaker uses the Command Prompt in Visual Studio Code (VSCode), which requires setting up disk space, 2 CPUs, 4GB of memory, 1GB of Swab (a tool that creates a database image), and a 60GB disk image. The speaker indicates that this is an acceptable standard for running the workshop but notes that it can be expanded to 8GB of memory or up to 6 servers if necessary, depending on the PC used. The speaker also highlights that if the user has a physical server, they should use Metal or other tools like VirtualBox or Terminal instead. If the user has a server, they can use PM (Python 3) instead of Docker, but this depends on the workshop's requirements.
00:40:00 In this section, the speaker explains the process of setting up a database for a project. They mention that the database should be named "doctor" and include an image named "Jupiter". The image should be saved in a directory named "Project" and can be downloaded by running the "doctor" command in the Terminal. Additionally, the speaker discusses the importance of using compatible file formats and software, and to ensure the compatibility, is better to use Docker Desktop as UI-nya.
00:45:00 In this section, the speaker discusses how to use Docker on Linux-based operating systems. They mention that to install Docker, the user must visit the Docker website, download the appropriate file, and replace its name with "Docker". Then, after installing Docker, the user needs to use the "compose up" command to start a container. However, this command may return an error, and the user needs to download and install an additional support file before proceeding. They then discuss the various options available for Docker on Linux, including Jupiter Notebook andPostkreas, among others. Finally, they emphasize that to use Docker properly, the user needs to have a valid ID and will need to enter it to log in to the Docker section. The speaker mentions that there are password and token requirements for certain Docker options, and the user needs to follow the instructions provided to navigate through Docker's commands and login to the various available options.
00:50:00 "Kuliah Tamu 'Database Zaman Now'" is a YouTube video that discusses the process of using correction containers3. The speaker uses the id 888, and instructs the audience to set down the container. The speaker then plays music to signal that the correction will take place, followed by a series of tapping. This is done using the terminal keyboard, and no mouse is required. The speaker encourages the audience to copy and paste the code they have generated. If the code is not working as expected, the audience can use the Portable Software6 to resolve the issue. The speaker emphasizes that the operating system used for this correction is not Debian, which is commonly used for Docker.
00:55:00 In this section, the speaker discusses the setup process for a Docker workshop. The workshop is named "Kuliah Tamu 2018" by Dr. Krisnanto Pasaribu, and its installation requires a link download. The speaker also explains how to rename and save the Docker environment as "dokterkompos" by enabling Windows administrator and selecting the desired directory path.
YouTube video "kuliah Tamu Database Zaman Now" covers a range of topics related to database and database management systems (DBMS) in the real world. In this section, the speaker starts by explaining the process of working with Docker images and PostgreSQL databases. The speaker guides newcomers by emphasizing the importance of familiarizing oneself with Terminal commands, including how to use CD and PWD.
After that, the videos moves on to the topic of video conferencing software "Doctor Image". The speaker provides a step-by-step tutorial on how to download, configure the database and test the software. They also encourage viewers to practice the tutorial steps and troubleshoot potential issues that may arise.
Next, the video discusses different services and functions found in a database system. The speaker advises listeners to troubleshoot any issues before attempting to use the service again. They also mention that some services may require passwords or codes, and that these must be carefully entered to prevent errors.
Following that, the speaker covers the topic of creating a database and table in PostgreSQL. They first mention that the process requires using the command "CREATE DATABASE" and specifying its name using a file. They also discuss the importance of primary keys in database design.
Then, the video moves on to working with the Jupiter notebook. The presenter discusses making a connection to a database and inserting data, as well as handling data injection techniques and making sure to use secure passwords.
Viewers can also learn how to create databases using Jupiter Notebook and Pandas. They first connect to the database and set up a mapping between the columns and variables. The video covers complex assignments and data injection techniques.
The video then moves to the process of cleaning and manipulating duplicate data using Jupiter Notebook and PostgreSQL. The process involves identifying and removing duplicate data and executive
01:00:00 In this section, the speaker explains the process of working with a Docker image and a PostgreSQL database in the real world. They first explain how to better understand the process by familiarizing oneself with Terminal commands, including how to use CD and PWD. Next, they discuss the concept of setting environments, including how to work with multiple environments for specific tasks and use different environments based on the specific systems being used (e.g., MacBook, iOS, Windows, Linux). The speaker then explains how to use SSH to connect to the server, how to navigate the server using various commands, and how to download the image using the link provided by the doctor's hub. They also mention the importance of setting an environment when using a nano editor or VI. Finally, the speaker discusses using the official IMEI for downloading the full micro Docker image and using polling to download with a v2 Docker client.
01:05:00 In this section of the video, the speaker presents a step-by-step tutorial on how to download and set up a video conferencing software called "Doctor Image." The tutorial covers topics such as downloading the software, configuring the database, and testing the software. The speaker also provides tips on how to troubleshoot common issues that may arise during the setup process. Viewers are encouraged to practice the tutorial steps by running the software on a desktop computer.
01:10:00 In this section, the speaker is discussing various services and functions found in a database system. He mentions that some services may not work as intended and may result in errors or crashes. He advises the listener to troubleshoot these issues before attempting to use the service again. He also suggests that some services may require passwords or codes to access them and that these must be carefully entered to prevent errors. The speaker encourages the listener to test new services and features to ensure they are working as expected.
01:15:00 In this section, the uploader explains how to create a database and table in PostgreSQL. They first mention that the command to create a database is "CREATE DATABASE" followed by naming the database and then writing that name into a file. The uploader then goes on to talk about how to create a table in the database using the command "CREATE TABLE," followed by specifying the table name and its characteristics. They also mention that any uuid identifiers in the table must be unique. The uploader also discusses the importance of understanding primary keys in database design. Additionally, the uploader describes how to resolve potential issues with errors that may arise while creating a table or table row.
01:20:00 In this section of the video, the presenter covers the topic of working with the Jupiter notebook, specifically making a connection to a database and inserting data. The presenter highlights the need for a database connection in order to perform data insertion, and discusses the potential risk of data injection attacks. To connect to the database, the presenter recommends using the `docker` network and the `dokter` container. Once connected, the presenter demonstrates using the `dokter Network inspect` command to inspect the network configuration and `dokter Network LS` to list connected containers. The presenter also discusses the importance of setting a secure password for the database connection, and recommends using the `db.close()` function to close the database connection.
01:25:00 In this section, the user creates a database using Jupiter and Pandas. They first connect to the database and set up a mapping between the columns and variables. Then, they create data and frame it using Pandas. They also discuss how they can handle complex assignments, such as ren range or helper variables. They also talk about using data injection techniques and how they can handle difficult connections to servers.
01:30:00 In this section of the video, the speaker discusses the process of cleaning and manipulating duplicate data using Jupiter Notebook and PostgreSQL. The process involves identifying and removing duplicate data, cleaning data that contains values of 0, and executing data injection techniques to minimize communication problems between different systems, including Jupiter. The video also includes reference to error messages encountered during the data modification process.
01:35:00 In this section of the YouTube video "Database Zaman Now", the narrator discusses how to create a database using a MongoDB database management system (DBMS) and the similarities and differences between MongoDB and Relational Database Management System (RDBMS). They explain how to create a database and insert data into it using code samples, and show how the data can be accessed and queried using the MongoDB Query Language (MongoQL). They also discuss how to check the data stored in a database and how to access it using the find() function in MongoDB.
01:40:00 In this section, the speaker is discussing how to insert data into a database and search for it using specific keywords. They mention using the "customer" keyword to search for a specific customer, and also mention that the "employee" keyword can be used to search for a specific employee. They also mention the use of the "address" keyword to search for a specific address. The speaker also mentalities to use "no second" data type to make the data abstract and also mention the use of "customer" keyword with "dress" or "dot name" to make it an array inside the customer data.
01:45:00 In this section, the speaker explains how to perform data aggregation using SQL queries. The process involves setting the foreign key constraint and using the 'db.journal.aggregate' command to group data by a given column. The speaker suggests using the 'db.transaction.aggregate' feature if the data is stored in MongoDB, such as in the case of storing images, videos, or documents. The speaker also advises that using NoSQL databases like MongoDB can be beneficial for handling large amounts of unstructured data.
01:50:00 In this section of the video titled "kuliah Tamu Database Zaman Now," the speaker discusses the use of Docker in managing complex applications. The speaker suggests that it can be useful to set up individual services in Docker compose and to use "docker-compose.yml" as the configuration file. He also advises using the "volumenya" directive to set up appropriate volume configurations and using a "PWD" command in the terminal to navigate to the desired directory.
Additionally, the speaker suggests using the "jupiter network must be a list" directive in the "docker-compose.yml" file and to configure volume directories and user directories accordingly. Finally, he recommends naming directories using "Project artinya nanti."
01:55:00 In this section, the speaker discusses how to solve problems with the volume issue of a user. The speaker suggests that users can try to check-check, use Google Search, or even try sending a message to the user. The speaker believes that the volume problem is because of the user's volume volume. The speaker suggests the user to make a comment and restart after adding the file sharing resources, especially if the user requires some specific skills. The speaker adds that users need to learn and master the basic skills. Lastly, the speaker suggests deleting the volume and restarting the user to solve the volume problem temporarily.
In this YouTube video titled "kuliah Tamu 'Database Zaman Now'", the speaker covers various topics related to database management. They discuss setting up a Docker network for database connections, comparing virtual machines (VMs) and containers like Docker in terms of isolation and security, the cost-effectiveness and flexibility of using Docker and cloud-based databases, options for downloading and storing images, utilizing Google Cloud and its products, system settings for efficient database management, suggestions for creating a secure database with simple configuration, the relevance of different programming languages in data engineering, and the importance of being prepared for the workplace. Overall, the speaker provides valuable insights and guidance on modern database technologies.
02:00:00 In this section, the speaker talks about setting up a Docker network used for database connections. They first mention that the Docker file is available for their workshop, and explain the importance of configuring it appropriately. They then discuss the steps for removing networks from the service, as well as testing the network configuration in a local environment. The speaker also talks about how to check the container status and ensure that the database connection is successful.
02:05:00 In this section, the speaker discusses the differences between virtual machines (VM) and containers like Docker. VMs have a separate infrastructure and operating system (OS), providing better isolation, but containers like Docker share the kernel of the host OS, making them less isolated and potentially less secure. Containers are usually managed by a third party in terms of security, while VMs or bare metal offer more control over security. However, Docker provides flexibility in terms of maintenance, as specific services can be shut down or restarted without affecting others. This is beneficial for microservices that require high availability and quick planning.
02:10:00 In this section, the speaker discusses the simplicity and cost-effectiveness of using Docker and cloud-based databases like AWS. He compares the cost of buying and managing physical servers to the much lower cost of utilizing cloud storage and services. The speaker also highlights the flexibility and efficiency of using Docker for deploying applications and scaling resources. Overall, the speaker emphasizes the advantages of modern database technologies in terms of cost, security, and flexibility.
02:15:00 In this section, the speaker discusses different options for downloading and storing images. They mention that the download speed and capacity depend on the internet connection, with faster speeds resulting in quicker downloads. The speaker also mentions different cloud storage options, such as Amazon S3 and Google BigQuery, highlighting their capabilities for storing and querying large amounts of data. They explain that Google BigQuery is particularly useful for handling big data and large numbers of transactions, as it allows users to query the data they need and pay accordingly.
02:20:00 In this section, the speaker discusses the use of Google Cloud and its various products, such as BigQuery and developer tools. They mention that Google Cloud offers a $300 free trial and recommends using it for retrieving and storing data. The speaker also addresses a question about the differences between using WSL, Windows, and Hyper-V when installing Docker. They explain that Hyper-V is recommended for Windows because it can efficiently manage CPU usage and core allocation, whereas WSL cannot. Hyper-V allows for flexible CPU allocation and better communication between CPU cores and RAM. Overall, the speaker encourages the audience to explore and experiment with these technologies.
02:25:00 In this section, the speaker discusses the settings for the CPU, memory, and swap in a system for database management. They mention that for Windows, it is recommended to have at least 4 CPUs and 8 GB of memory to handle tasks such as running Android simulators or exporting. They also mention the importance of choosing an appropriate image for testing purposes, with options like AMD 64. The speaker advises checking the recommended settings on platforms like Google, and suggests starting with a free trial to experiment. Additionally, they mention that SSH is faster than Hyper-V due to architectural differences. Overall, they provide guidance on setting up a system for efficient database management.
02:30:00 In this section, the speaker is answering questions regarding database management. They suggest using Momo DB, Posgrass, and Jupiter, along with my SQL and Docker, for creating a secure database with a simple configuration. The database can be run on multiple platforms, including AWS and Google Cloud. The speaker also mentions the importance of data exploration and the need to understand query subqueries, having conditions, and group by. They discuss the importance of understanding data types such as numeric, integer, floating-point, and character data. Additionally, they discuss the use of car and pacar functions in data processing. They encourage learners to understand the importance of calculating the size of columns and the use of data types. They also discuss the importance of understanding character data and the use of functions in creating structures for databases. The speaker encourages learners to be cautious with big numbers, integers, and mic, and to avoid using 255 in data types.
02:35:00 In this section, the speaker discusses the use of various programming languages and their relevance in data engineering and data processing. They explain how Python and Java are commonly used in data engineering and provide examples of their use in different scenarios. The speaker also mentions the use of ID and extensions for certain tools and explains how to install extensions. Finally, they discuss the importance of understanding data architecture and how to handle data with sufficient knowledge in programming languages.
02:40:00 In this section, the presenter discusses the importance of being prepared for the workplace. They explain that participants need to fill in their names and link numbers in the chat column before the event begins and encourage them to turn on their cameras for a group photo. The presenter also mentions his gratitude to the event organizer and those present for the morning event and requests forgiveness for any incidents during the event.