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14 Top Data Pipeline Key Terms Explained

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 Here are some key terms commonly used in data pipelines 1. Data Sources Definition: Points where data originates (e.g., databases, APIs, files, IoT devices). Examples: Relational databases (PostgreSQL, MySQL), APIs, cloud storage (S3), streaming data (Kafka), and on-premise systems. 2. Data Ingestion Definition: The process of importing or collecting raw data from various sources into a system for processing or storage. Methods: Batch ingestion, real-time/streaming ingestion. 3. Data Transformation Definition: Modifying, cleaning, or enriching data to make it usable for analysis or storage. Examples: Data cleaning (removing duplicates, fixing missing values). Data enrichment (joining with other data sources). ETL (Extract, Transform, Load). ELT (Extract, Load, Transform). 4. Data Storage Definition: Locations where data is stored after ingestion and transformation. Types: Data Lakes: Store raw, unstructured, or semi-structured data (e.g., S3, Azure Data Lake). Data Warehous...
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5 Top Digital Skills You need in Future

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Before you perform work in a new-age digital job, focus on the real skills you need to learn. 1. Automate Repeated Tasks Take the best example of saving all the emails from google account. That is after sending an email that should save in an Excel document. This is one kind of Skill. So learning technologies to create Tools for this kind of automation provide you a lot of job opportunities. 2. Automate Stop Function For example, work and home both are different. After certain hours the access to the Company network should be stopped. So that you can focus on your Home duties. Here you should have tools to do this kind of activity. 3. Data visualization How to present data in a user-friendly way is the topmost digital skill. Nowadays there are many tools present. The Best example is Tableau. You can present the data in a user-friendly way. 4. Working Ability in Cloud Environment For example, the olden days' servers are complex to migrate and move from one area to ...
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The 5 Skills You need to Start Data Analytics Career

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Data analytics is the job role hot in demand in each organization. Digital skills such as Mobile development, Full-stack development, Data Science, and Cloud computing are successful because they are very user-friendly to the end-users. Digital devices enabled digital technologies to cause to generate more data. You need different kinds of tools to analyze data in different formats. You need the right tools. Else you cannot predict the user's mind. User search data is the source of big retail markets. Based on these search words, they start selling the products. The motto behind data analytics is to get the benefit all stakeholders. Let us take cloud computing the main advantage is cost-effectiveness and scalability. 5 Skills you need for data analyst job R Programming SAS Excel Tableau QlikView Top Magazines to read Analytics Insight Analytics Magazine Analytics India Magazine Related Posts R Vs SAS Top Differences 6 Top IT Skills that have Huge Demand in ...
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Java in Digital Applications Real Usage

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Recently I found, some of my friends refreshing Java language skills. I asked them why. They told me many digital applications need proficiency in Java skill. Java is the top skill, and popular in customization of all the tools involved in digital applications.  From the above conversation, I can say that at least core Java everyone should be proficient. In addition to that, Java once upon a time popular as web development language. Since Java is being used in all modern applications.  Of course, there are many other popular languages. Those are Python and Scala.   Top List of  Java Applications Robotic process automation - Daily activities in any offices can be automated with Robotic process automation. Java is the language in this scenario to write backend scripts. Artificial Intelligence -Each AI application involves some sort of programming logic. Where it validates user input and sends back output. The backend logic often is written in Java. Full...
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