Talend Open Studio for Big Data: ETL & Data Integration

Create and configure metadata in Talend Open Studio for big data connecting to Oracle and PostgreSQL databases, retro schema, and importing tables; then define delimited file metadata for employees data.

Learn to load data from Oracle to PostgreSQL by building a Talend job, configuring input and output components, mapping fields, and transferring 107 records.

Load data from a delimited flat file into a Postgres table in Talend Open Studio for Big Data, dynamically creating the Employees table and mapping source to target.

Configure the Talend source component to pull data from an Oracle employees table, concatenate first name and last name, and trim character columns while adjusting fetch size.

Master tMap in talend open studio for big data to map sources to targets, convert data types, concatenate names, generate current dates, and join datasets with bitmap lookups.

Use tLogRow to debug datasets during development by printing results to the console in table, vertical, or header formats, validating data manipulations, and exploring advanced settings and dedicated statistics.

Learn how to use the tJoin component to join multiple data sets, such as employees and department data from Oracle, with lookup columns and left join options.

Use the tRowGenerator component to define columns and generate sample data. Preview the dataset and print it in a table for testing in Talend Open Studio for big data.

Build the sample row component to extract records by line numbers for testing. Use line ranges like 1, 5, and 10–20 to print results in a table, verifying 12 records.

Learn to use the tAggregatorRow component to group by department id and manager id, apply aggregation functions, and output salary sums with nulls ignored and sorted input.

Explore the tFilterRow component to filter source records by salary greater than or equal to 10,000 using and/or logic and advanced Java mode, with filter and reject outputs to tLogRow.

Learn to configure the filter columns component to pass only the required columns to the target, including first name, last name, and email.

Explore tSortRow in Talend Open Studio for Big Data to sort records by salary in ascending or descending order, handling numeric versus alphabetic data and producing the sorted results.

Use the tReplace component to substitute a column value during data load to an Oracle target, demonstrating search and replace with sensitivity and a global expression on the employees table.

Learn to use the tUnite unit component to merge two Oracle employees datasets with matching columns into a Postgres table, producing 214 merged records.

Apply the tUniqueRow component to eliminate duplicates by defining key attributes and case sensitivity. It reduces 214 source records to 107 unique rows in the employees table.

Use the tReplicate component to map employees and departments, align column names, and pipeline the same logic to Oracle, PostgreSQL, and a flat file.

Use the convert type component to transform data types while moving data from source to target, resolve type errors, and load data into an Oracle employees table.

Learn to use tSplitRow to split a columnar dataset’s employee first and last names into separate fields, define mappings, and generate four output rows from a single input row.

Use the extract delimited fields component to split the name field, delimited by semicolon, into two columns: first name and last name, ignoring nil values in the employees names dataset.

Use the tNormalize component to convert a semicolon-separated salary column into multiple rows and columns. The lecture demonstrates normalization for a data warehouse or flat file.

Leverage the tDenormalize component to transform a normalized dataset into a denormalized view by producing unique department names with concatenated salaries, using semicolon-delimited values.

Explore trigger functionality in Talend Open Studio by right-clicking a component to access trigger options and perform operations on a job or a job area, introducing features step by step.

Explore how the OnSubJobOk component triggers a child job only after the parent job succeeds, with scenarios showing that a failed parent prevents the child from starting.

Learn how to configure on subjob error triggers in Talend Open Studio for Big Data, enabling a child job to run when a parent fails and validating the expected outcomes.

Explore OnComponentOk and OnComponentError in Talend Open Studio for big data. Use trigger functionality to launch a sub job when a component succeeds or fails.

Leverage run-if triggers in Talend Open Studio for big data to execute sub jobs based on filtered record counts, with under 20 or over 20 conditions.

Explore tFileInputDelimited to extract records from delimited files, configure file name and encoding, enable quotes enclosure, skip empty rows, uncompress a zip file, and validate data against a schema.

Learn to configure tFileOutputDelimited in Talend Open Studio for Big Data to write delimited files with headers, encoding, zip compression, and advanced options like directory creation and file splitting.

Learn how to use the tFileList component to load and iterate multiple files from a directory with the same schema, define file patterns, handle subdirectories, and track current file details.

Copy a file from source to destination using the tFileCopy component, with options to rename, copy directories, remove source, replace existing, and create the destination as needed.

Define tFileDelete component to delete a file or folder using the default delete component, configure file name and error handling, and enable state catcher statistics to confirm job completion.

Check whether a file exists with the tFileExist component and print the file name and execution result. Demonstrate testing with a non-existent file, which returns false.

Define and retrieve file properties with the file properties component, including file name, absolute path, base name, read and write size, time stamps, and optionally compute an MD5 hash.

Explore the final touch component, the tFileTouch, mirroring the unix touch command to create an empty file, then verify the new file in the directory.

Learn to use the tFileunarchive component to archive and extract files, define a root directory, check integrity, and decrypt password-protected archives with advanced settings.

Use the tRunJob component to launch existing Talend jobs in a project, select required jobs, and execute them in a sequence with dynamic and context parameter options.

Open the tssh lecture to build the search component, connect to a search server with bash commands, configure hostname, port, and username, and choose password or public key authentication.

Apply the asset component and asset catcher to obtain and print a job’s status with tAssert and tAssertCatcher. Check file existence and observe a missing file yielding a failed state.

Learn to use the chronometer component to capture and calculate a job's duration, start and stop timing, and display the duration with a component name and human readable format.

Demonstrates using the tDie d-day component to fail a Talend job when the filter rule yields fewer than 20 records, with a custom error message and priority, stopping downstream jobs.

Learn to measure data flow with tFlowMeter and tFlowMeterCatcher in Talend Open Studio for Big Data, recording counts passing through each component and routing them to console or file output.

Learn how to use the tLogCatcher component in Talend Open Studio to capture error messages from a running job and log them to a file.

Enable advanced settings on all components to enable start catalogs and obtain general logs, then run to collect statistics across every component with tStatCatcher.

Interact with S3 buckets using Talend Open Studio for Big Data by creating, deleting, validating, and listing buckets, managing credentials, and running jobs to verify results.

Learn to manage S3 buckets with Talend Open Studio for Big Data by creating jobs that upload, download, delete, list, and copy files using S3 components and credentials.

Load CSV data from a local file into Oracle database with Talend Open Studio for Big Data. Map columns and use the Oracle output component to populate employees table.

Learn to load data from an S3 bucket into an Oracle database by creating a Talend job, mapping columns, and using the Oracle output component to populate the locations table.

Learn to create a Kafka topic in Talend Open Studio for Big Data by configuring broker and port, replication factor, partition, and retention, then run the job to verify creation.

Learn to stream from Kafka to Talend Open Studio using streaming components, configuring broker, topic, consumer group, offsets, commit intervals, and capturing messages to a file.

Send messages from a CSP file to Kafka using Talend, creating a topic with replication factor and one partition, and configure broker list, payload as bytes, compression, and security authentication.