![]() Oracle 19c, Oracle 12c, Oracle Exadata 12c, Microsoft SQL Server 2016, IBM DB2, Hadoop HDFS, PostgreSQL 10.7, MySQLĪmazon Web Services (AWS), AWS S3, AWS RDS(PostgreSQL), Azure Blobs, Azure Batch Account, Azure Data Factoryģ-NF, Dimensional Modeling (Star & Snow Flake), Data Vault (Raw Vault & Business Vault) Informatica Intelligent Cloud Services (IICS) Data & Application Services, Talend Open Studio for ESB, Talend Real-Time Big Data Platform 7.2 IICS (Data Integration & Application Integration), Talend Data Integration 7.2, Azure Data Factory V2 Informatica PowerCenter 10.4, Informatica Integration Cloud Services i.e. sprint planning, creating user stories, tasks, etc. Extensively worked in Scrum projects having high involvement in various phases e.g.Worked closely with Data Architect, Business Analysts, Product Owners, Tech Leads to help in drafting design, architecture, requirement specification, etc for developing ETL/ELT data processing pipelines.for efficient & in time data processing with high quality. stage layer, core layer, reporting layers, etc. Worked with various structured and semi structured data sources like Databases, REST API, CSV, XML, JSON, etc.Proficient in designing & customizing data models using data modelling techniques likes dimensional modelling, data vault modelling, etc.Highly proficient in Architecture, Design, Development, Implementation and Support of ETL or ELT data processing pipelines for Data warehouses or Data Lakes using ETL tools like Informatica Powercenter, Talend, Microsoft Azure Data factory V2.for their various Data Migration, Data Integration, Data Lake, BI/DW projects. Senior Data Engineer with 14+ years of IT Consulting experience working with clients like Uniper Energy, Deutsche Bank, Deutsche Boerse, Commerzbank, Aldi Sued, KARSTAT, etc.We will talk about them in our future articles. Louis also uses other data transfer features for his work and hobbies. If necessary in the future he can change the data format or the number of characters in the cells using the Properties tab. Now he can update it with new TV series for his site through the app interface. Thanks to DBeaver, Louis quickly added a new table with data to an existing database. ![]() ![]() In this case, you can check the box “Disable referential integrity checks during the transfer”. This is related to the fact that the foreign keys of the first table point to the primary keys of the not-existing-yet-second table. If you sequentially load two tables linked by keys, you might run into some problems. ![]() Thanks to the default settings selected in the next wizard’s step, the table will open after the download is complete and our hero will see the results of the import. After seeing that everything is correct, Louis can now move on to the next step.ĭepending on your needs, you can import one or several tables at once. To make sure that all the data will be loaded in the right way, he needs to click the “Preview data” button. To do this, he just needs to select a column and click the DEL button. He can create it now by clicking on the NEW button and entering the desired name.Īlso at this step, our hero can exclude unnecessary columns from the import. Louis has a file with all the necessary data, however, there is still no suitable table in the database yet. The Community version only works with the CSV format. Using the wizard window that opens, he can upload his XLSX file from his hard drive.ĭBeaver PRO supports the import of files in CSV, XLSL and XML formats. To quickly load only the data that he needs for the site, he can use DBeaver’s data import feature.įirst, Louis needs to right-click on the connection in the navigation tree and select “Import data”. His file already contains all the necessary columns but our hero does not want to transfer some of them to the database as they were created for his personal use and are not relevant to the site visitors. Louis collected information about the TV series in an excel format before he started working with DBeaver. Is it possible to import data from it without wasting much time? Yes, it’s quite simple, and today we will tell you how Louis has solved this issue. The problem is that our friend Louis stores all the information about the series in an XLSX format. Louis knows that some actors star in both films and TV series, and it’s convenient for him to add a new table to an existing catalog. Louis realized one day that it was not only he but also his readers who were interested in information about popular TV series. He has a website where he regularly publishes information about films, and he stores all the necessary data in a database. Our readers are already familiar with Louis, who not only uses DBeaver for his work but also uses it for his favorite hobby.
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