Cloudera

MARCH 5, 2024

The powerful platform data security and governance layer, Shared Data Experience (SDX) , is a fundamental part of the open data lakehouse, in the data center just as it is in the cloud. Rolling upgrades are now supported for HDFS, Hive, HBase, Kudu, Kafka, Ranger, YARN, and Ranger KMS.

Data Lake 87

Data Lake Data Storage Government Kafka 87

Rockset

AUGUST 21, 2019

Rockset continuously ingests data streams from Kafka, without the need for a fixed schema, and serves fast SQL queries on that data. We created the Kafka Connect Plugin for Rockset to export data from Kafka and send it to a collection of documents in Rockset. This blog covers how we implemented the plugin.

Kafka 40

Kafka IT Data Storage Relational Database 40

Knowledge Hut

APRIL 25, 2024

Each of these technologies has its own strengths and weaknesses, but all of them can be used to gain insights from large data sets. As organizations continue to generate more and more data, big data technologies will become increasingly essential. Let's explore the technologies available for big data.

Big Data 98

Big Data Technology NoSQL Hadoop 98

Pinterest Engineering

NOVEMBER 22, 2023

Initial Architecture For Goku Short Term Ingestion Figure 1: Old push based ingestion pipeline into GokuS At Pinterest, we have a sidecar metrics agent running on every host that logs the application system metrics time series data points (metric name, tag value pairs, timestamp and value) into dedicated kafka topics.

Database 95

Database Bytes Kafka Architecture 95

Knowledge Hut

NOVEMBER 28, 2023

Concepts of IaaS, PaaS, and SaaS are the trend, and big companies expect data engineers to have the relevant knowledge. Kafka Kafka is one of the most desired open-source messaging and streaming systems that allows you to publish, distribute, and consume data streams. ETL is central to getting your data where you need it.

Data Engineering 52

Data Engineering Data Engineer Engineering Generalist 52

Monte Carlo

FEBRUARY 20, 2024

Let’s explore what to consider when thinking about data ingestion tools and explore the leading tools in the field. Apache Kafka Apache Kafka is a powerful distributed streaming platform that acts as both a messaging queue and a data ingestion tool. It has a steeper learning curve compared to tools like Fivetran.

Data Ingestion 52

Data Ingestion Google Cloud Kafka AWS 52

Analytics Vidhya

MARCH 7, 2023

Introduction Apache Flume is a tool/service/data ingestion mechanism for gathering, aggregating, and delivering huge amounts of streaming data from diverse sources, such as log files, events, and so on, to centralized data storage. Flume is a tool that is very dependable, distributed, and customizable.

Data Ingestion 216

Data Ingestion Data Storage Hadoop Data 216

Christophe Blefari

JUNE 16, 2023

The first advice is about the documentation readers: data team, business users or other stakeholders. Change Data Capture (CDC) with PostgreSQL and ClickHouse — This is a nice vendor post about CDC with Kafka as movement layer (using Debezium). The post explains well the architecture you need to make it work.

Programming Language 130

Programming Language SQL PostgreSQL Data 130

Christophe Blefari

JANUARY 20, 2024

formats — This is a huge part of data engineering. Picking the right format for your data storage. In this category I recommend also to have a look at data ingestion (Airbyte, Fivetran, etc.), Main technologies around stream are bus messages like Kafka and processing framework like Flink or Spark on top of the bus.

Data Engineering 130

Data Engineering Data Engineer Engineering Hadoop 130

Data Engineering Weekly

NOVEMBER 26, 2023

We’ve seen a fleet of tools like TextToSQL ; Slack bots to ask questions to your data warehouse , Chat interface for spreadsheets , and even the English SDK for Spark ! I believe the impact of LLM will go further down in the stack with data storage formats in the coming years. Let me know your thoughts in the comments.

Data Engineering 70

Data Engineering Data Engineer Engineering Kafka 70

Edureka

FEBRUARY 9, 2023

Azure Data Engineering is a rapidly growing field that involves designing, building, and maintaining data processing systems using Microsoft Azure technologies. As a certified Azure Data Engineer, you have the skills and expertise to design, implement and manage complex data storage and processing solutions on the Azure cloud platform.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

Data Engineering Podcast

DECEMBER 31, 2018

Join the community in the new Zulip chat workspace at dataengineeringpodcast.com/chat Your host is Tobias Macey and today I’m interviewing Tom Kaitchuck about Pravega, an open source data storage platform optimized for persistent streams Interview Introduction How did you get involved in the area of data management?

Lambda Architecture 100

Lambda Architecture Process Data Process Kafka 100

Knowledge Hut

JUNE 26, 2023

From analysts to Big Data Engineers, everyone in the field of data science has been discussing data engineering. When constructing a data engineering project, you should prioritize the following areas: Multiple sources of data (APIs, websites, CSVs, JSON, etc.) Source Code: Yelp Review Analysis 2.

Data Engineering 98

Data Engineering Data Engineer Coding Project 98

Data Engineering Weekly

MARCH 24, 2024

The author goes beyond comparing the tools to various offerings from streaming vendors in stream processing and Kafka protocol-supported systems. As we predicted in the key trends of 2023 about Apache Flink as a clear winner in the stream processing frameworks, we see Confluent offering Flink as a service.

Data Engineering 62

Data Engineering Data Engineer Engineering Metadata 62

Data Engineering Podcast

SEPTEMBER 12, 2021

What are some of the challenges that you and the Cassandra community have faced with the flurry of new data storage and processing systems that have popped up over the past few years? What do you see as the opportunities for Cassandra over the near to medium term as the cloud continues to grow in prominence?

Database 100

Database Metadata Kafka Data Storage 100

Monte Carlo

JANUARY 5, 2024

This architecture format consists of several key layers that are essential to helping an organization run fast analytics on structured and unstructured data. Increasingly, data warehouses and data lakes are moving toward each other in a general shift toward data lakehouse architecture.

Architecture 52

Architecture Data Lake Metadata Unstructured Data 52

Monte Carlo

JANUARY 5, 2024

This architecture format consists of several key layers that are essential to helping an organization run fast analytics on structured and unstructured data. Increasingly, data warehouses and data lakes are moving toward each other in a general shift toward data lakehouse architecture.

Architecture 52

Architecture Data Lake Metadata Unstructured Data 52

Knowledge Hut

NOVEMBER 19, 2023

As a result, data engineers working with big data today require a basic grasp of cloud computing platforms and tools. Businesses can employ internal, public, or hybrid clouds depending on their data storage needs, including AWS, Azure, GCP, and other well-known cloud computing platforms.

Data Engineering 52

Data Engineering Data Engineer Engineering PostgreSQL 52

Data Engineering Weekly

JUNE 25, 2023

link] Ziheng Wang: Open Vector Data Lakes We’ve seen the rise of vector databases in the market. The cost, vendor locking, and the properties of the data storage engine are frequent points of discussion in the vector database space. is chatbots are the right interface for this workflow?

Data Engineering 52

Data Engineering Data Engineer Engineering Data Lake 52

Data Engineering Weekly

NOVEMBER 13, 2022

link] Meta: Tulip - Schematizing Meta’s data platform Numerous heterogeneous services make up a data platform, such as warehouse data storage and various real-time systems. The schematization of data plays a vital role in a data platform. The author shares the experience of one such transition.

Data Engineering 52

Data Engineering Data Engineer Engineering Kafka 52

Big Data Tools

SEPTEMBER 6, 2021

It hasn’t had its first release yet, but the promise is that it will un-bias your data for you! rc0 – If you like to try new releases of popular products, the time has come to test Kafka 3 and report any issues you find on your staging environment! Change Data Capture at DeviantArt – I think we all know what Debezium is.

Data Engineering 52

Data Engineering Data Engineer Engineering Big Data Tools 52

Knowledge Hut

APRIL 25, 2023

Data modeling: Data engineers should be able to design and develop data models that help represent complex data structures effectively. Data processing: Data engineers should know data processing frameworks like Apache Spark, Hadoop, or Kafka, which help process and analyze data at scale.

Data Engineering 52

Data Engineering Data Engineer Engineering Google Cloud 52

U-Next

AUGUST 17, 2022

Because of this, all businesses—from global leaders like Apple to sole proprietorships—need Data Engineers proficient in SQL. NoSQL – This alternative kind of data storage and processing is gaining popularity. They’ll come up during your quest for a Data Engineer job, so using them effectively will be quite helpful.

Data Engineering 52

Data Engineering Data Engineer Pipeline-centric Database-centric 52

Knowledge Hut

DECEMBER 21, 2023

The primary process comprises gathering data from multiple sources, storing it in a database to handle vast quantities of information, cleaning it for further use and presenting it in a comprehensible manner. Data engineering involves a lot of technical skills like Python, Java, and SQL (Structured Query Language).

Data Engineering 52

Data Engineering Data Engineer Engineering MongoDB 52

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.

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

Precisely

JANUARY 25, 2024

Today’s cloud systems excel at high-volume data storage, powerful analytics, AI, and software & systems development. Regardless of whether or not a company decides to completely migrate off of the mainframe, data replication is a crucial first step that will be needed for any type of mainframe modernization strategy.

Metadata 67

Metadata Data Governance Relational Database Government 67

Confluent

MARCH 4, 2019

A trend often seen in organizations around the world is the adoption of Apache Kafka ® as the backbone for data storage and delivery. This is when CloudBank selected Apache Kafka as technology enabler for their needs. more data per server) and constant retrieval time. Journey from mainframe to cloud.

Cloud 86

Cloud Banking Kafka NoSQL 86

Edureka

FEBRUARY 9, 2023

Here are some role-specific skills to consider if you want to become an Azure data engineer: Programming languages are used in the majority of data storage and processing systems. Data engineers must be well-versed in programming languages such as Python, Java, and Scala.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Mining 52

Cloud Academy

JANUARY 27, 2022

Apache Kafka Amazon MSK and Kafka Under the Hood Apache Kafka is an open-source streaming platform. Learn about the AWS-managed Kafka offering in this course to see how it can be more quickly deployed. MongoDB Configuration and Setup Watch an example of deploying MongoDB to understand its benefits as a database system.

Data Engineering 52

Data Engineering Data Engineer Certification Engineering 52

Knowledge Hut

NOVEMBER 17, 2023

ETL Processes : Knowledge of ETL (Extract, Transform, Load) processes and familiarity with ETL tools like Xplenty, Stitch, and Alooma is essential for efficiently moving and processing data. Data engineers should be proficient in scripting to automate routine data tasks and workflows. The certification cost is $165 USD.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

Knowledge Hut

MARCH 28, 2024

Job Role 1: Azure Data Engineer Azure Data Engineers develop, deploy, and manage data solutions with Microsoft Azure data services. They use many data storage, computation, and analytics technologies to develop scalable and robust data pipelines.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

Big Data Tools

SEPTEMBER 6, 2021

It hasn’t had its first release yet, but the promise is that it will un-bias your data for you! rc0 – If you like to try new releases of popular products, the time has come to test Kafka 3 and report any issues you find on your staging environment! Change Data Capture at DeviantArt – I think we all know what Debezium is.

Data Engineering 40

Data Engineering Data Engineer Engineering Big Data Tools 40

Knowledge Hut

DECEMBER 26, 2023

Kafka Kafka is an open-source processing software platform. It is used to handle real-time data feeds and build real-time streaming apps. The applications developed by Kafka can help a data engineer discover and apply trends and react to user needs.

Data Engineering 98

Data Engineering Data Engineer Engineering Pipeline-centric 98

Rockset

MAY 3, 2022

Deduplication History Kafka was one of the first systems to create a solution for duplication. Kafka guarantees that a message is delivered once and only once. However, if the problem occurs upstream from Kafka, their system will see these messages as non-duplicates and deliver the duplicate messages with different timestamps.

Kafka 52

Kafka Data Warehouse Database Data 52

Confluent

SEPTEMBER 20, 2019

As a distributed system for collecting, storing, and processing data at scale, Apache Kafka ® comes with its own deployment complexities. To simplify all of this, different providers have emerged to offer Apache Kafka as a managed service. Before Confluent Cloud was announced , a managed service for Apache Kafka did not exist.

Kafka 21

Kafka Management Cloud AWS 21

Data Engineering Weekly

JUNE 12, 2023

One thing to note here, search infrastructure is always separate data storage from the operational data store in any org. It is true for Kafka protocol, Hive metastore, and many others. The current landscape demonstrates a dedicated vector database vs. exciting databases that support vector search.

Data Engineering 57

Data Engineering Data Engineer Engineering AWS 57

Monte Carlo

MAY 14, 2024

Let’s revisit how several of those key table formats have emerged and developed over time: Apache Avro : Developed as part of the Hadoop project and released in 2009, Apache Avro provides efficient data serialization with a schema-based structure.

Data Lake 52

Data Lake Metadata Hadoop Data Governance 52