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

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 Architecture BI 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 SQL BI Hadoop 21

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

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

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

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

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

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

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 Engineering 57

Data Engineering Data Engineer Engineering Data Lake 57

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

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 102

Digital Media Media Data Lake Data Warehouse 102

Monte Carlo

APRIL 24, 2023

Data lakes are useful, flexible data storage repositories that enable many types of data to be stored in its rawest state. Traditionally, after being stored in a data lake, raw data was then often moved to various destinations like a data warehouse for further processing, analysis, and consumption.

Data Lake 52

Data Lake Google Cloud Data Warehouse AWS 52

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 120

Data Architecture Architecture Hadoop Data Warehouse 120

Christophe Blefari

JANUARY 20, 2024

Data engineering inherits from years of data practices in US big companies. Hadoop initially led the way with Big Data and distributed computing on-premise to finally land on Modern Data Stack — in the cloud — with a data warehouse at the center. Understand Change Data Capture — CDC.

Data Engineering 130

Data Engineering Data Engineer Engineering Hadoop 130

Cloudera

JUNE 16, 2022

In 2015, Cloudera became one of the first vendors to provide enterprise support for Apache Kafka, which marked the genesis of the Cloudera Stream Processing (CSP) offering. Today, CSP is powered by Apache Flink and Kafka and provides a complete, enterprise-grade stream management and stateful processing solution. Who is affected?

Kafka 88

Kafka Manufacturing Data Lake SQL 88

Cloudera

SEPTEMBER 15, 2020

Cloudera Data Platform 7.2.1 introduces fine-grained authorization for access to Azure Data Lake Storage using Apache Ranger policies. Cloudera and Microsoft have been working together closely on this integration, which greatly simplifies the security administration of access to ADLS-Gen2 cloud storage.

Accessibility 79

Accessibility Accessible Cloud Cloud Storage 79

AltexSoft

AUGUST 29, 2023

In 2010, a transformative concept took root in the realm of data storage and analytics — a data lake. The term was coined by James Dixon , Back-End Java, Data, and Business Intelligence Engineer, and it started a new era in how organizations could store, manage, and analyze their data. What is a data lake?

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

Cloudera

OCTOBER 7, 2021

In this blog, I will demonstrate the value of Cloudera DataFlow (CDF) , the edge-to-cloud streaming data platform available on the Cloudera Data Platform (CDP) , as a Data integration and Democratization fabric. Introduction.

Architecture 124

Architecture Metadata Kafka Government 124

Christophe Blefari

MARCH 4, 2023

How to run dbt with BigQuery in GitHub Actions — When you're starting with dbt you don't need any orchestrator or dbt Cloud, a CI/CD do it for sure. Ensuring Data Consistency Across Replicas — Mixpanel details how they ensure that different zones Kafka consumers are writing the data in the same manner.

Machine Learning 130

Machine Learning Data AWS Data Lake 130

Cloudera

JUNE 9, 2022

From origin through all points of consumption both on-prem and in the cloud, all data flows need to be controlled in a simple, secure, universal, scalable, and cost-effective way. controlling distribution while also allowing the freedom and flexibility to deliver the data to different services is more critical than ever. .

Data Collection 94

Data Collection Data Lake Unstructured Data Retail 94

Data Engineering Podcast

DECEMBER 4, 2022

Datafold integrates with all major data warehouses as well as frameworks such as Airflow & dbt and seamlessly plugs into CI workflows. RudderStack helps you build a customer data platform on your warehouse or data lake. RudderStack helps you build a customer data platform on your warehouse or data lake.

Data Lake 100

Data Lake MongoDB MySQL Data Warehouse 100

Data Engineering Podcast

OCTOBER 5, 2020

Summary Analytical workloads require a well engineered and well maintained data integration process to ensure that your information is reliable and up to date. Building a real-time pipeline for your data lakes and data warehouses is a non-trivial effort, requiring a substantial investment of time and energy.

Data Integration 100

Data Integration Kafka Data Lake Machine Learning 100

Cloudera

NOVEMBER 18, 2020

In fact, each of the 29 finalists represented organizations running cutting-edge use cases that showcase a winning enterprise data cloud strategy. It serves the needs of consumers and businesses across an entire suite of products and services including mobile, fixed, broadband, data connectivity, Internet, and managed services.

Medical 123

Medical Banking Telecommunication Government 123

Data Engineering Podcast

SEPTEMBER 11, 2022

RudderStack helps you build a customer data platform on your warehouse or data lake. Instead of trapping data in a black box, they enable you to easily collect customer data from the entire stack and build an identity graph on your warehouse, giving you full visibility and control. In fact, while only 3.5%

Data Pipeline 130

Data Pipeline Building MongoDB MySQL 130

Data Engineering Podcast

MAY 8, 2022

Acryl Data provides DataHub as an easy to consume SaaS product which has been adopted by several companies. Signup for the SaaS product at dataengineeringpodcast.com/acryl RudderStack helps you build a customer data platform on your warehouse or data lake. Struggling with broken pipelines?

Database 100

Database Data Lake BI Business Intelligence 100

Data Engineering Podcast

SEPTEMBER 25, 2022

Mention the podcast to get a free "In Data We Trust World Tour" t-shirt. RudderStack helps you build a customer data platform on your warehouse or data lake. Sign up free… or just get the free t-shirt for being a listener of the Data Engineering Podcast at dataengineeringpodcast.com/rudder.

Food 100

Food MongoDB MySQL Scala 100

Data Engineering Podcast

MARCH 25, 2019

By transparently pulling data from underlying silos, Alluxio unlocks the value of your data and allows for modern computation-intensive workloads to become truly elastic and flexible for the cloud. Go to dataengineeringpodcast.com/alluxio today to learn more and thank them for their support.

Building 100

Building Data Lake Machine Learning Kafka 100

Cloudera

SEPTEMBER 23, 2020

In this blogpost, we are going to take a look at some of the OpDB related security features of a CDP Private Cloud Base deployment. We are going to talk about auditing, different security levels, security features of Data Catalog, and Client Considerations. It can aggregate and summarize access patterns from multiple data lakes.

Database 84

Database Data Lake Metadata Java 84

Cloudera

JULY 26, 2021

Once we have identified those capabilities, the second article explores how the Cloudera Data Platform delivers those prerequisite capabilities and has enabled organizations such as IQVIA to innovate in Healthcare with the Human Data Science Cloud. . Business and Technology Forces Shaping Data Product Development.

Generalist 119

Generalist Telecommunication Healthcare Data Science 119

Cloudera

NOVEMBER 27, 2023

2: The majority of Flink shops are in earlier phases of maturity We talked to numerous developer teams who had migrated workloads from legacy ETL tools, Kafka streams, Spark streaming, or other tools for the efficiency and speed of Flink. Organizations are moving beyond a Kafka-is-everything mentality when it comes to streaming.

Kafka 84

Kafka SQL ETL Tools Architecture 84

Data Engineering Podcast

AUGUST 6, 2022

RudderStack helps you build a customer data platform on your warehouse or data lake. Instead of trapping data in a black box, they enable you to easily collect customer data from the entire stack and build an identity graph on your warehouse, giving you full visibility and control. In fact, while only 3.5%

Machine Learning 100

Machine Learning Database MySQL PostgreSQL 100