Knowledge Hut

JUNE 26, 2023

If you want to break into the field of data engineering but don't yet have any expertise in the field, compiling a portfolio of data engineering projects may help. Data pipeline best practices should be shown in these initiatives. In addition to this, they make sure that the data is always readily accessible to consumers.

Data Engineering 98

Data Engineering Data Engineer Coding Project 98

RandomTrees

SEPTEMBER 6, 2020

The architecture is three layered: Database Storage: Snowflake has a mechanism to reorganize the data into its internal optimized, compressed and columnar format and stores this optimized data in cloud storage. The data objects are accessible only through SQL query operations run using Snowflake.

Cloud Storage 52

Cloud Storage Data Ingestion Data Cleanse Data Warehouse 52

Cloudera

JUNE 22, 2023

A hybrid platform significantly reduces technical debt of all kinds, allowing for the gradual migration of non-sensitive data to cost-effective cloud storage. Today, no combination of open-source technologies approximate’s CDP’s built-in capabilities for automating tasks like data profiling, data cleansing, and data integration.

Data Cleanse 66

Data Cleanse Data Governance Unstructured Data Cloud Storage 66

phData: Data Engineering

APRIL 4, 2023

As organizations continue to leverage data lakes to run analytics and extract insights from their data, progressive marketing intelligence teams are demanding more of them, and solutions like Amazon S3 and automated pipeline support are meeting that demand.

Data Lake 52

Data Lake Amazon Web Services Data Cleanse Data Warehouse 52

ProjectPro

FEBRUARY 8, 2023

ETL Developer Roles and Responsibilities Below are the roles and responsibilities of an ETL developer: Extracting data from various sources such as databases, flat files, and APIs. Data Warehousing Knowledge of data cubes, dimensional modeling, and data marts is required.

ETL Tools 52

ETL Tools Data Cleanse Data Warehouse Big Data 52

phData: Data Engineering

AUGUST 4, 2023

Data storage is a vital aspect of any Snowflake Data Cloud database. Within Snowflake, data can either be stored locally or accessed from other cloud storage systems. What are the Different Storage Layers Available in Snowflake? They are flexible, secure, and provide exceptional performance.

Cloud Storage 52

Cloud Storage Google Cloud Amazon Web Services Data Storage 52

U-Next

NOVEMBER 18, 2022

For example, Google’s DeepMind is using AI to help improve the efficiency of Google’s data centers. AI can also help to reduce the cost of cloud storage. For example, Amazon’s Glacier storage service uses Machine Learning to help identify and remove duplicate data, which can reduce storage costs by up to 50%.

Cloud Computing 52

Cloud Computing Cloud Data Cleanse Data Mining 52