Snowflake

NOVEMBER 11, 2024

Ingest data more efficiently and manage costs For data managed by Snowflake, we are introducing features that help you access data easily and cost-effectively. This reduces the overall complexity of getting streaming data ready to use: Simply create external access integration with your existing Kafka solution.

Data Architecture 105

Data Architecture Architecture Data Lake Kafka 105

Data Engineering Podcast

AUGUST 3, 2021

Summary Data lake architectures have largely been biased toward batch processing workflows due to the volume of data that they are designed for. With more real-time requirements and the increasing use of streaming data there has been a struggle to merge fast, incremental updates with large, historical analysis.

Data Lake 130

Data Lake Data Warehouse Hadoop Kafka 130

ProjectPro

JUNE 6, 2025

78% of the employees across European organizations claim that the data keeps growing too rapidly for them to process, thus getting siloed on-premise. So, how can businesses leverage the untapped potential of all the data that is available to them? The answer is-Cloud! as needed for big data processing.

Big Data 40

Big Data Cloud Data Lake Big Data Tools 40

Data Engineering Podcast

NOVEMBER 11, 2018

Summary A data lake can be a highly valuable resource, as long as it is well built and well managed. In this episode Yoni Iny, CTO of Upsolver, discusses the various components that are necessary for a successful data lake project, how the Upsolver platform is architected, and how modern data lakes can benefit your organization.

Data Lake 100

Data Lake Building Kafka Cloud 100

Data Engineering Podcast

JULY 22, 2019

Summary The current trend in data management is to centralize the responsibilities of storing and curating the organization’s information to a data engineering team. This organizational pattern is reinforced by the architectural pattern of data lakes as a solution for managing storage and access.

Data Lake 100

Data Lake Hadoop Data Kafka 100

ProjectPro

JUNE 6, 2025

In 2024, the data engineering job market is flourishing, with roles like database administrators and architects projected to grow by 8% and salaries averaging $153,000 annually in the US (as per Glassdoor ). These trends underscore the growing demand and significance of data engineering in driving innovation across industries.

Data Engineering 59

Data Engineering Data Engineer Project Engineering 59

ProjectPro

JUNE 6, 2025

Explore the full potential of AWS Kafka with this ultimate guide. Elevate your data processing skills with Amazon Managed Streaming for Apache Kafka, making real-time data streaming a breeze. According to IDC , the worldwide streaming market for event-streaming software, such as Kafka, is likely to reach $5.3

Kafka 40

Kafka AWS Amazon Web Services Utilities 40

Data Engineering Podcast

FEBRUARY 4, 2024

In this episode Yingjun Wu explains how it is architected to power analytical workflows on continuous data flows, and the challenges of making it responsive and scalable. Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Data lakes are notoriously complex.

SQL 173

SQL Data Lake High Quality Data Data Pipeline 173

Data Engineering Podcast

MAY 15, 2022

Summary Designing a data platform is a complex and iterative undertaking which requires accounting for many conflicting needs. Designing a platform that relies on a data lake as its central architectural tenet adds additional layers of difficulty. When is a data lake architecture the wrong choice?

Data Lake 100

Data Lake Building BI Architecture 100

Data Engineering Podcast

MARCH 2, 2020

The ksqlDB project was created to address this state of affairs by building a unified layer on top of the Kafka ecosystem for stream processing. Developers can work with the SQL constructs that they are familiar with while automatically getting the durability and reliability that Kafka offers. How is ksqlDB architected?

Kafka 100

Kafka Process PostgreSQL MySQL 100

Confluent

SEPTEMBER 26, 2019

In the early days, many companies simply used Apache Kafka ® for data ingestion into Hadoop or another data lake. However, Apache Kafka is more than just messaging. Some Kafka and Rockset users have also built real-time e-commerce applications , for example, using Rockset’s Java, Node.js

Kafka 21

Kafka BI SQL Hadoop 21

ProjectPro

JUNE 6, 2025

Data Collection The first step is to collect real-time data (purchase_data) from various sources, such as sensors, IoT devices, and web applications, using data collectors or agents. These collectors send the data to a central location, typically a message broker like Kafka.

Data Ingestion 40

Data Ingestion Kafka Google Cloud AWS 40

Jesse Anderson

JUNE 12, 2024

We also discuss the various systems using Kafka’s protocol. Confluent has never shied away from saying Kafka is “easy,” and I disagree. During the Kafka Summit London Keynote, the speakers said “easy” 17 times; in the Kafka Summit Bangalore Keynote, they said it 18 times. Using Confluent Cloud?

Kafka 147

Kafka Data Lake Architecture Cloud 147

ProjectPro

JUNE 6, 2025

Table of Contents What are Data Engineering Tools? Top 10+ Tools For Data Engineers Worth Exploring in 2025 Cloud-Based Data Engineering Tools Data Engineering Tools in AWS Data Engineering Tools in Azure FAQs on Data Engineering Tools What are Data Engineering Tools?

Data Engineering 45

Data Engineering Data Engineer Engineering Kafka 45

Edureka

APRIL 22, 2025

The alternative, however, provides more multi-cloud flexibility and strong performance on structured data. It incorporates elements from several Microsoft products working together, like Power BI, Azure Synapse Analytics, Data Factory, and OneLake, into a single SaaS experience.

BI 52

BI Pipeline-centric Data Lake Google Cloud 52

Cloudera

MARCH 31, 2021

CDP Public Cloud is now available on Google Cloud. The addition of support for Google Cloud enables Cloudera to deliver on its promise to offer its enterprise data platform at a global scale. CDP Public Cloud is already available on Amazon Web Services and Microsoft Azure.

Google Cloud 94

Google Cloud Cloud Amazon Web Services Cloud Storage 94

ProjectPro

JUNE 6, 2025

Generally, data pipelines are created to store data in a data warehouse or data lake or provide information directly to the machine learning model development. Keeping data in data warehouses or data lakes helps companies centralize the data for several data-driven initiatives.

Data Pipeline 40

Data Pipeline Architecture Kafka Data Lake 40

Cloudera

OCTOBER 13, 2020

On September 24, 2019, Cloudera launched CDP Public Cloud (CDP-PC) as the first step in delivering the industry’s first Enterprise Data Cloud. Over the past year, we’ve not only added Azure as a supported cloud platform, but we have improved the orginal services while growing the CDP-PC family significantly: Improved Services.

Cloud 97

Cloud Data Warehouse Machine Learning AWS 97

ProjectPro

JUNE 6, 2025

Extract, Load, Transform, or ELT refers to how a data pipeline duplicates data from a data source into a target location, such as a cloud data warehouse. ELT involves three core stages- Extract- Importing data from the source server is the initial stage in this process.

Data Engineering 40

Data Engineering Data Engineer Engineering Data Lake 40

ProjectPro

JUNE 6, 2025

Azure Data Factory 2. Azure Data Lake Storage 7. Azure Logic Apps Azure ETL Best Practices for Big Data Projects Get Your Hands-on Azure ETL Projects with ProjectPro! It also enables data transformation using compute services such as Azure HDInsight Hadoop, Spark, Azure Data Lake Analytics, and Azure Machine Learning.

ETL Tools 40

ETL Tools Data Engineering Data Engineer Data Lake 40

ProjectPro

JUNE 6, 2025

Traditional data tools cannot handle this massive volume of complex data, so several unique Big Data software tools and architectural solutions have been developed to handle this task. Big Data Tools extract and process data from multiple data sources. Why Are Big Data Tools Valuable to Data Professionals?

Big Data Tools 40

Big Data Tools Big Data Hadoop BI 40

Confluent

OCTOBER 16, 2019

Trains are an excellent source of streaming data—their movements around the network are an unbounded series of events. Using this data, Apache Kafka ® and Confluent Platform can provide the foundations for both event-driven applications as well as an analytical platform. As with any real system, the data has “character.”

Kafka 19

Kafka Building Data Coding 19

ProjectPro

JUNE 6, 2025

As per the surveyors, Big data (35 percent), Cloud computing (39 percent), operating systems (33 percent), and the Internet of Things (31 percent) are all expected to be impacted by open source shortly. Following these statistics, big data is set to get bigger with the evolution of open-source projects.

Big Data 49

Big Data Project Metadata Programming Language 49

Cloudera

APRIL 29, 2021

on all three major cloud platforms, and it also brings Flow Management on DataHub with Apache NiFi 1.13.2 QueryNiFiReportingTask : this new reporting task allows you to run SQL queries against the internal monitoring data stored by NiFi (metrics, status, bulletins, provenance, etc.) Cloudera also released CDP 7.2.9 NiFi’s monitoring.

Cloud 77

Cloud Amazon Web Services Google Cloud Kafka 77

Data Engineering Podcast

DECEMBER 3, 2023

Get all of the details and try the new product today at dataengineeringpodcast.com/rudderstack You shouldn't have to throw away the database to build with fast-changing data. Data lakes are notoriously complex. Materialize]([link] You shouldn't have to throw away the database to build with fast-changing data.

Systems 130

Systems Designing Data Lake SQL 130

ProjectPro

JUNE 6, 2025

Continuous, Extensible Data Processing: A robust data science pipeline ensures continuous, extensible data processing for real-time or near-real-time analysis, enabling rapid adaptation to evolving data needs and seamless integration of new data sources for dynamic insights and decision-making.

Data Science 40

Data Science Building AWS Data Lake 40

Data Engineering Podcast

MAY 26, 2024

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Data lakes are notoriously complex. SQL Server version upgrade) Section 2: Types of Migrations for Infrastructure Focus Storage migration: Moving data between systems (HDD to SSD, SAN to NAS, etc.)

Systems 130

Systems Data Lake High Quality Data Google Cloud 130

Cloudera

JANUARY 19, 2022

Gartner® recognized Cloudera in three recent reports – Magic Quadrant for Cloud Database Management Systems (DBMS), Critical Capabilities for Cloud Database Management Systems for Analytical Use Cases and Critical Capabilities for Cloud Database Management Systems for Operational Use Cases.

Database 90

Database Cloud Data Warehouse Data Lake 90

Monte Carlo

OCTOBER 31, 2024

In addition, AI data engineers should be familiar with programming languages such as Python , Java, Scala, and more for data pipeline, data lineage, and AI model development. Data Storage Solutions As we all know, data can be stored in a variety of ways.

Data Engineering 52

Data Engineering Data Engineer Engineering Unstructured Data 52

ProjectPro

JUNE 6, 2025

Anyone who works with data, whether a programmer, a business analyst , or a database developer, creates ETL pipelines , either directly or indirectly. ETL is a must-have for data-driven businesses. The transition to cloud-based software services and enhanced ETL pipelines can ease data processing for businesses.

Project 40

Project Kafka AWS Data Pipeline 40

Data Engineering Weekly

FEBRUARY 2, 2025

Key features include workplan auctioning for resource allocation, in-progress remediation for handling data validation failures, and integration with external Kafka topics, achieving a throughput of 1.2 million entities per second in production.

Data Engineer 57

Data Engineer Data Engineering Engineering Data Lake 57

ProjectPro

AUGUST 11, 2021

“Data Lake vs Data Warehouse = Load First, Think Later vs Think First, Load Later” The terms data lake and data warehouse are frequently stumbled upon when it comes to storing large volumes of data. Data Warehouse Architecture What is a Data lake? What is a Data lake?

Data Lake 52

Data Lake Data Warehouse Cloud Hadoop 52

Snowflake

OCTOBER 16, 2024

Many of our customers — from Marriott to AT&T — start their journey with the Snowflake AI Data Cloud by migrating their data warehousing workloads to the platform. The company migrated from its outdated Teradata appliance to the Snowflake AI Data Cloud to resolve performance issues and meet growing data demands.

Digital Media 105

Digital Media Media Data Lake Data Warehouse 105

ProjectPro

JUNE 6, 2025

“Unlock the potential of your data with Azure Databricks: a unified analytics platform that combines the power of Apache Spark with the ease of Azure.” ” Azure Databricks is a fully managed service provided by Microsoft that offers the capabilities to create an open data lake house within the Azure cloud environment.

Data Engineering 40

Data Engineering Data Engineer Engineering Data Lake 40

ProjectPro

JUNE 6, 2025

Zero ETL helps mitigate these costs by reducing duplicate data storage and minimizing the need for constant monitoring and testing, thus lowering overall maintenance expenses. This helps organizations to streamline their operations directly assessing Salesforce data in Snowflake for analysis and decision-making.

Data Analytics 40

Data Analytics MySQL PostgreSQL Data Lake 40

Confluent

MARCH 18, 2025

Tableflow represents Kafka topics as Apache Iceberg (GA) and Delta Lake (EA) tables in a few clicks to feed any data warehouse, data lake, or analytics engine of your choice

Kafka 72

Kafka Data Lake Data Warehouse Engineering 72

Snowflake

SEPTEMBER 14, 2023

The Snowflake Data Cloud gives you the flexibility to build a modern architecture of choice to unlock value from your data. Snowflake was built from the ground up in the cloud. Snowflake’s platform provides industry-leading features that ensure the highest standards of governance for your account, users, and data.

Data Architecture 122

Data Architecture Architecture Hadoop Data Warehouse 122