DataKitchen

NOVEMBER 27, 2024

However, not all data quality dashboards are created equal. Their design and focus vary significantly depending on an organization’s unique goals, challenges, and data landscape. This blog delves into the six distinct types of data quality dashboards, examining how each fulfills a specific role in ensuring data excellence.

Banking 86

Banking Data Pharmaceutical Consulting 86

Cloudera

MAY 19, 2021

In the previous blog post in this series, we walked through the steps for leveraging Deep Learning in your Cloudera Machine Learning (CML) projects. To try and predict this, an extensive dataset including anonymised details on the individual loanee and their historical credit history are included. Get the Dataset. Introduction.

Machine Learning 137

Machine Learning Data Science Datasets Data Lake 137

Rockset

MARCH 1, 2023

When you deconstruct the core database architecture, deep in the heart of it you will find a single component that is performing two distinct competing functions: real-time data ingestion and query serving. When data ingestion has a flash flood moment, your queries will slow down or time out making your application flaky.

Data Ingestion 144

Data Ingestion Database Cloud Storage SQL 144

ProjectPro

JUNE 6, 2025

With AWS DevOps, data scientists and engineers can access a vast range of resources to help them build and deploy complex data processing pipelines, machine learning models, and more. This blog will explore 15 exciting AWS DevOps project ideas that can help you gain hands-on experience with these powerful tools and services.

AWS 61

AWS Project Medical Deep Learning 61

ProjectPro

JUNE 6, 2025

It requires a skillful blend of data engineering expertise and the strategic use of tools designed to streamline this process. That’s where data pipeline tools come in. This blog is all about that—specifically, the top 10 data pipeline tools that data engineers worldwide rely on.

Data Pipeline 49

Data Pipeline Google Cloud Kafka AWS 49

ProjectPro

JUNE 6, 2025

Data engineers often use Google Cloud Pub/Sub to design asynchronous workflows, publish event notifications, and stream data from several processes or devices. This blog provides an overview of Google Cloud Pub/Sub that will help you understand the framework and its suitable use cases for your data engineering projects.

Google Cloud 40

Google Cloud Cloud Cloud Storage Data Ingestion 40

Cloudera

AUGUST 26, 2021

In addition to big data workloads, Ozone is also fully integrated with authorization and data governance providers namely Apache Ranger & Apache Atlas in the CDP stack. While we walk through the steps one by one from data ingestion to analysis, we will also demonstrate how Ozone can serve as an ‘S3’ compatible object store.

Data Science 113

Data Science Cloud Hadoop Metadata 113

ProjectPro

JUNE 6, 2025

These platforms facilitate effective data management and other crucial Data Engineering activities. This blog will give you an overview of the GCP data engineering tools thriving in the big data industry and how these GCP tools are transforming the lives of data engineers. PREVIOUS NEXT <

Data Engineer 40

Data Engineer Data Engineering Engineering Google Cloud 40

ProjectPro

JUNE 6, 2025

In this blog, we will break down the fundamentals of RAG architecture, offering clear insights into its components and real-world applications by tech giants like Google, Amazon, Azure, and others. Finally, the database layer connects all components, acting as a central repository for storing data and configuration.

Architecture 52

Architecture Data Ingestion Google Cloud AWS 52

ProjectPro

JUNE 6, 2025

This blog post provides an overview of the top 10 data engineering tools for building a robust data architecture to support smooth business operations. Table of Contents What are Data Engineering Tools? These tools are responsible for making the day-to-day tasks of a data engineer easier in various ways.

Data Engineer 45

Data Engineer Data Engineering Engineering Kafka 45

Databand.ai

JULY 19, 2023

Complete Guide to Data Ingestion: Types, Process, and Best Practices Helen Soloveichik July 19, 2023 What Is Data Ingestion? Data Ingestion is the process of obtaining, importing, and processing data for later use or storage in a database. In this article: Why Is Data Ingestion Important?

Data Ingestion 52

Data Ingestion Process Data Cleanse Data Governance 52

DataKitchen

JUNE 6, 2025

Every data team member needs to interact with data quality testing, but in different ways depending on their responsibilities and expertise: Data Ingestion Teams: Data ingestion specialists use quality tests to identify errors in source data before it propagates downstream.

Data Ingestion 52

Data Ingestion Data Governance Government Data 52

ProjectPro

JUNE 6, 2025

Traditional databases may need help to provide the necessary performance when dealing with large datasets and complex queries. Data warehousing tools are designed to handle such scenarios efficiently, enabling faster query performance and analysis, even on massive datasets. Not suitable for real-time data processing.

Data Storage 58

Data Storage PostgreSQL Data Warehouse AWS 58

Ascend.io

OCTOBER 28, 2024

Data transformation helps make sense of the chaos, acting as the bridge between unprocessed data and actionable intelligence. You might even think of effective data transformation like a powerful magnet that draws the needle from the stack, leaving the hay behind.

Raw Data 52

Raw Data Aggregated Data Data Pipeline Data Validation 52

ProjectPro

JUNE 6, 2025

In this blog, we'll explore some exciting machine learning case studies that showcase the potential of this powerful emerging technology. Data Scientists use machine learning algorithms to predict equipment failures in manufacturing, improve cancer diagnoses in healthcare , and even detect fraudulent activity in 5.

Machine Learning 75

Machine Learning Algorithm Amazon Web Services Healthcare 75

Knowledge Hut

APRIL 25, 2023

An end-to-end Data Science pipeline starts from business discussion to delivering the product to the customers. One of the key components of this pipeline is Data ingestion. It helps in integrating data from multiple sources such as IoT, SaaS, on-premises, etc., What is Data Ingestion?

Data Ingestion 52

Data Ingestion Lambda Architecture Raw Data Kafka 52

ProjectPro

JUNE 6, 2025

Do ETL and data integration activities seem complex to you? Read this blog to understand everything about AWS Glue that makes it one of the most popular data integration solutions in the industry. Did you know the global big data market will likely reach $268.4 Businesses are leveraging big data now more than ever.

AWS 66

AWS Scala Metadata Data Lake 66

ProjectPro

JUNE 6, 2025

With the global data volume projected to surge from 120 zettabytes in 2023 to 181 zettabytes by 2025, PySpark's popularity is soaring as it is an essential tool for efficient large scale data processing and analyzing vast datasets. Resilient Distributed Datasets (RDDs) are the fundamental data structure in Apache Spark.

Hadoop 68

Hadoop Metadata Java Datasets 68

Data Engineering Weekly

JULY 7, 2024

Experience Enterprise-Grade Apache Airflow Astro augments Airflow with enterprise-grade features to enhance productivity, meet scalability and availability demands across your data pipelines, and more. Hudi seems to be a de facto choice for CDC data lake features. Notion migrated the insert heavy workload from Snowflake to Hudi.

Data Engineer 98

Data Engineer Data Engineering Engineering Data Lake 98

phData: Data Engineering

NOVEMBER 8, 2024

The world we live in today presents larger datasets, more complex data, and diverse needs, all of which call for efficient, scalable data systems. Open Table Format (OTF) architecture now provides a solution for efficient data storage, management, and processing while ensuring compatibility across different platforms.

Architecture 52

Architecture Systems Data Lake Google Cloud 52

Rockset

MAY 3, 2023

lower latency than Elasticsearch for streaming data ingestion. In this blog, we’ll walk through the benchmark framework, configuration and results. We’ll also delve under the hood of the two databases to better understand why their performance differs when it comes to search and analytics on high-velocity data streams.

Data Ingestion 59

Data Ingestion Kafka Database Architecture 59

ProjectPro

JUNE 6, 2025

Are you ready to step into the heart of big data projects and take control of data like a pro? Batch data pipelines are your ticket to the world of efficient data processing. These pipelines are the go-to solution for data engineers, and it's no secret why.

Data Pipeline 40

Data Pipeline Building Retail Data Ingestion 40

ProjectPro

JUNE 6, 2025

Building on the growing relevance of RAG pipelines, this blog offers a hands-on guide to effectively understanding and implementing a retrieval-augmented generation system. It discusses the RAG architecture, outlining key stages like data ingestion , data retrieval, chunking , embedding generation , and querying.

Building 40

Building Project Metadata Data Ingestion 40

ProjectPro

JUNE 6, 2025

This blog presents some of the most unique and exciting AWS projects from beginner to advanced levels. AWS (Amazon Web Services) is the leading global cloud platform, offering over 200 fully featured services from data centers worldwide. You can work on these AWS sample projects to expand your skills and knowledge.

AWS 60

AWS Project Food Cloud Computing 60

ProjectPro

JUNE 6, 2025

With Azure Databricks, managing and analyzing large volumes of data becomes effortlessly seamless. So, if you're a data professional ready to embark on a data-driven adventure, read this blog till the end as we unravel the secrets of Azure Databricks and discover the limitless possibilities it holds.

Data Engineer 40

Data Engineer Data Engineering Engineering Data Lake 40

ProjectPro

JUNE 6, 2025

You can also use your Azure Data Fundamentals certification to brush up on your fundamental concepts for other Azure role-based certifications, such as Azure Database Administrator Associate, Azure Data Engineer Associate, etc. In this project, you will perform ETL on the Movielens dataset.

Certification 45

Certification Google Cloud Data Lake SQL 45

Edureka

MAY 27, 2025

Access control based on roles (RBAC) In accordance with corporate policies, RBAC enables administrators to fine-tune who has granular access to which Fabric assets (such as data lakes, reports, and pipelines).

Architecture 52

Architecture BI Business Intelligence Data Lake 52

ProjectPro

JUNE 6, 2025

With the growing demand for big data professionals, having a solid understanding of business intelligence on Hadoop integration is becoming highly significant. This blog explores the various aspects of building a Hadoop-based BI solution and offers a few Hadoop-BI project ideas for practice.

BI 40

BI Hadoop Big Data Business Intelligence 40

Cloudera

FEBRUARY 8, 2021

This is part 2 in this blog series. You can read part 1, here: Digital Transformation is a Data Journey From Edge to Insight. The first blog introduced a mock connected vehicle manufacturing company, The Electric Car Company (ECC), to illustrate the manufacturing data path through the data lifecycle.

Data Pipeline 118

Data Pipeline Manufacturing Building Data Warehouse 118

ProjectPro

JUNE 6, 2025

Ready to ride the data wave from “ big data ” to “big data developer”? This blog is your ultimate gateway to transforming yourself into a skilled and successful Big Data Developer, where your analytical skills will refine raw data into strategic gems.

Big Data 40

Big Data Hadoop Scala NoSQL 40

ProjectPro

JUNE 6, 2025

Supercharge your data engineering projects with Apache Airflow Machine Learning Pipelines! Discover the ultimate approach for automating and optimizing your machine-learning workflows with this comprehensive blog that unveils the secrets of Airflow's popularity and its role in building efficient ML pipelines! Get Hands-On with PySpark!

Machine Learning 40

Machine Learning Building Retail Data Ingestion 40

ProjectPro

JUNE 6, 2025

Depending on the demands for data storage, businesses can use internal, public, or hybrid cloud infrastructure, including AWS , Azure , GCP , and other popular cloud computing platforms. This blog will highlight a few of the Azure data engineering tools and services popular among data engineers.

Data Engineer 40

Data Engineer Data Engineering PostgreSQL Engineering 40

Pinterest Engineering

SEPTEMBER 12, 2023

transformers) became standardized, ML engineers started to show a growing appetite to iterate on datasets. While such dataset iterations can yield significant gains, we observed that only a handful of such experiments were conducted and productionized in the last six months. As model architecture building blocks (e.g.

Data Process 105

Data Process Process Datasets Software Engineering 105

ProjectPro

JUNE 6, 2025

However, building and maintaining a scalable data science pipeline comes with challenges like data quality , integration complexity, scalability, and compliance with regulations like GDPR. Following data cleaning, analysts proceed to explore and model the data. Interpreting the findings is paramount in the next stage.

Data Science 40

Data Science Building Data Lake AWS 40

ProjectPro

JUNE 6, 2025

All your questions related to how to learn PySpark step by step will be answered in this blog. Apache Spark is a powerful open-source framework for big data processing. PySpark, the Python API for Spark, allows data professionals and developers to harness the capabilities of Spark using Python. map, filter) and actions (e.g.,

Big Data 40

Big Data Python Machine Learning SQL 40

Snowflake

APRIL 18, 2024

This blog post explores how Snowflake can help with this challenge. Legacy SIEM cost factors to keep in mind Data ingestion: Traditional SIEMs often impose limits to data ingestion and data retention. Security teams can also reduce their costs by loading certain datasets in batches instead of continuously.

Data Lake 109

Data Lake Data Ingestion Bytes Cloud Computing 109

ProjectPro

JUNE 6, 2025

OneLake's hierarchical structure simplifies data management across organizations, providing a unified namespace that spans users, regions, and clouds. Microsoft Fabric Use Cases Microsoft Fabric is a transformative solution for industry leaders to streamline data analytics processes and enhance efficiency.

Database-centric 40

Database-centric BI Pipeline-centric Data Lake 40