ProjectPro

FEBRUARY 8, 2023

Data Integration and Transformation, A good understanding of various data integration and transformation techniques, like normalization, data cleansing, data validation, and data mapping, is necessary to become an ETL developer. Data Governance Know-how of data security, compliance, and privacy.

ETL Tools 52

ETL Tools Data Cleanse Data Warehouse Big Data 52

Meltano

OCTOBER 5, 2022

Their tasks include: Designing systems for collecting and storing data Testing various parts of the infrastructure to reduce errors and increase productivity Integrating data platforms with relevant tools Optimizing data pipelines Using automation to streamline data management processes Ensuring data security standards are met When it comes to skills (..)

Data Engineer 52

Data Engineer Data Engineering Engineering Raw Data 52

Edureka

FEBRUARY 9, 2023

Data is moved from databases and other systems into a single hub, such as a data warehouse, using ETL (extract, transform, and load) techniques. Learn about popular ETL tools such as Xplenty, Stitch, Alooma, and others. To store various types of data, various methods are used.

Data Engineer 52

Data Engineer Data Engineering Engineering Data Mining 52

Monte Carlo

FEBRUARY 15, 2023

A company’s production data, third-party ads data, click stream data, CRM data, and other data are hosted on various systems. An ETL tool or API-based batch processing/streaming is used to pump all of this data into a data warehouse. The following diagram explains how integrations work.

Data Warehouse 52

Data Warehouse Unstructured Data AWS Business Intelligence 52

ProjectPro

JANUARY 19, 2022

ETL (extract, transform, and load) techniques move data from databases and other systems into a single hub, such as a data warehouse. Get familiar with popular ETL tools like Xplenty, Stitch, Alooma, etc. Different methods are used to store different types of data.

Data Engineer 52

Data Engineer Data Engineering Engineering Data Storage 52

AltexSoft

MARCH 30, 2023

Source: Databricks Delta Lake is an open-source, file-based storage layer that adds reliability and functionality to existing data lakes built on Amazon S3, Google Cloud Storage, Azure Data Lake Storage, Alibaba Cloud, HDFS ( Hadoop distributed file system), and others.

Scala 64

Scala Data Lake BI Google Cloud 64