ProjectPro

AUGUST 24, 2021

. :) But before you start data engineering project ideas list, read the next section to know what your checklist for prepping for data engineering role should look like and why. With the trending advance of IoT in every facet of life, technology has enabled us to handle a large amount of data ingested with high velocity.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

Confluent

FEBRUARY 6, 2019

It allows real-time data ingestion, processing, model deployment and monitoring in a reliable and scalable way. This blog post focuses on how the Kafka ecosystem can help solve the impedance mismatch between data scientists, data engineers and production engineers. You need to think about the whole model lifecycle.

Machine Learning 107

Machine Learning Python Kafka Java 107

Cloudera

FEBRUARY 9, 2021

Today’s customers have a growing need for a faster end to end data ingestion to meet the expected speed of insights and overall business demand. This ‘need for speed’ drives a rethink on building a more modern data warehouse solution, one that balances speed with platform cost management, performance, and reliability.

Data Warehouse 72

Data Warehouse Cloud Kafka Cloud Storage 72

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

Towards Data Science

NOVEMBER 4, 2023

This would be the right way to go for data analyst teams that are not familiar with coding. Indeed, why would we build a data connector from scratch if it already exists and is being managed in the cloud? and parallel data processing. So here are a few things to consider that can help us answer these questions.

Data Engineering 98

Data Engineering Data Engineer Engineering BI 98

ProjectPro

FEBRUARY 6, 2023

Unlock the ProjectPro Learning Experience for FREE Pub/Sub Project Ideas For Practice Now that you have a fundamental understanding of Google Cloud Pub/Sub and its use cases, here are a few Pub/Sub project ideas you can practice. For this project, you will require the COVID-19 Cases.csv dataset from data.world.

Google Cloud 52

Google Cloud Cloud Cloud Storage Data Ingestion 52

DareData

JANUARY 30, 2023

In this post, we'll discuss some key data engineering concepts that data scientists should be familiar with, in order to be more effective in their roles. These concepts include concepts like data pipelines, data storage and retrieval, data orchestrators or infrastructure-as-code.

Data Engineering 52

Data Engineering Data Engineer NoSQL Engineering 52

Cloudera

FEBRUARY 16, 2022

In the case of CDP Public Cloud, this includes virtual networking constructs and the data lake as provided by a combination of a Cloudera Shared Data Experience (SDX) and the underlying cloud storage. Each project consists of a declarative series of steps or operations that define the data science workflow.

Machine Learning 85

Machine Learning Algorithm Government Metadata 85

Confluent

OCTOBER 16, 2019

With tools like KSQL and Kafka Connect, the concept of streaming ETL is made accessible to a much wider audience of developers and data engineers. The platform shown in this article is built using just SQL and JSON configuration files—not a scrap of Java code in sight. Resolving codes in events to their full values.

Kafka 19

Kafka Building Data Coding 19

Ascend.io

FEBRUARY 23, 2024

If your core data systems are still running in a private data center or pushed to VMs in the cloud, you have some work to do. To take advantage of cloud-native services, some of your data must be replicated, copied, or otherwise made available to native cloud storage and databases.

Cloud Storage 52

Cloud Storage Data Ingestion Machine Learning Algorithm 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

AltexSoft

MARCH 30, 2023

Databricks architecture Databricks provides an ecosystem of tools and services covering the entire analytics process — from data ingestion to training and deploying machine learning models. Besides that, it’s fully compatible with various data ingestion and ETL tools. Let’s see what exactly Databricks has to offer.

Scala 64

Scala Data Lake Machine Learning BI 64

Knowledge Hut

SEPTEMBER 26, 2023

Born out of the minds behind Apache Spark, an open-source distributed computing framework, Databricks is designed to simplify and accelerate data processing, data engineering, machine learning, and collaborative analytics tasks. This flexibility allows organizations to ingest data from virtually anywhere.

Data Lake 52

Data Lake Database-centric Machine Learning Pipeline-centric 52

Monte Carlo

AUGUST 19, 2023

We’ll cover: What is a data platform? Recently, there’s been a lot of discussion around whether to go with open source or closed source solutions (the dialogue between Snowflake and Databricks’ marketing teams really brings this to light) when it comes to building your data platform.

Building 52

Building BI Data Lake Data Governance 52

Monte Carlo

FEBRUARY 15, 2023

Given that a data warehouse stores data from multiple sources, SQL queries are written to consolidate data from the multiple sources. Transformation tools like dbt are also very popular low-code, no-code alternatives to build data models and consolidate data so that it is ready to be consumed.

Data Warehouse 52

Data Warehouse Unstructured Data AWS Business Intelligence 52

Knowledge Hut

APRIL 25, 2023

Key features of Amazon Redshift: Columnar storage for efficient data storage and retrieval Advanced compression techniques for reducing storage costs Automatic optimization of queries for faster performance Integration with AWS data lake services for easy data ingestion Scalability and elasticity to handle growing data volumes 2.

Data Engineering 52

Data Engineering Data Engineer Engineering Google Cloud 52

ProjectPro

DECEMBER 7, 2021

However, you can also pull data from centralized data sources like data warehouses to transform data further and build ETL pipelines for training and evaluating AI agents. Processing: It is a data pipeline component that decides the data flow implementation.

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52

Netflix Tech

DECEMBER 14, 2018

A schemaless system appears less imposing for application developers that are producing the data, as it (a) spares them from the burden of planning and future-proofing the structure of their data and, (b) enables them to evolve data formats with ease and to their liking. NMDB leverages a cloud storage service (e.g.,

Media 97

Media Database Metadata Data Schemas 97

Knowledge Hut

JULY 6, 2023

NET) Java, JavaScript, Node.js, and Python are hosted on-prem and in the cloud. Monitoring is enabled for both backend and frontend codes. However, there are costs associated with data ingestion. Logging and managing storage resources is effortless, making this tool popular among competitors.

Amazon Web Services 52

Amazon Web Services Data Lake Java SQL 52

ProjectPro

MAY 31, 2021

Data Description: You will use the Covid-19 dataset(COVID-19 Cases.csv) from data.world , for this project, which contains a few of the following attributes: people_positive_cases_count county_name case_type data_source Language Used: Python 3.7 Big Data Project using Hadoop with Source Code for Web Server Log Processing 5.

Big Data 52

Big Data Coding Project Hadoop 52

AltexSoft

JULY 29, 2022

The third version of the framework supports erasure coding — the fifty-year-old method which appeared to be smart enough for new-age technologies. It generates additional data segments and stores them across different locations. In the case of corruption or failure, the data can be restored from those segments.

Hadoop 59

Hadoop Big Data Google Cloud NoSQL 59

Data Engineering Weekly

DECEMBER 18, 2024

This capability will enable AI agents to perform long-tail automation jobs in coding, medicine, law, and other industries. AI-Powered Assistance: They will be infused with AI capabilities, offering intelligent code completion, automated data cleaning, and smart suggestions for pipeline optimization.

Data Engineering 115

Data Engineering Data Engineer Engineering Data Lake 115

Edureka

APRIL 15, 2025

Officially titled “Implementing Data Engineering Solutions Using Microsoft Fabric” , this assessment evaluates a candidate’s ability to design and implement data engineering solutions using Microsoft Fabric. Data Factory : Automate workflows and manage data movement across multiple sources.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Ingestion 52