Confluent

JUNE 18, 2019

Using SQL to run your search might be enough for your use case, but as your project requirements grow and more advanced features are needed—for example, enabling synonyms, multilingual search, or even machine learning—your relational database might not be enough. Building an indexing pipeline at scale with Kafka Connect.

Architecture 97

Architecture Building Kafka Database-centric 97

Confluent

SEPTEMBER 25, 2019

What’s forgotten is that the rise of this paradigm was driven by a particular type of human-facing application in which a user looks at a UI and initiates actions that are translated into database queries. This may seem far from the domain of a database, but I’ll argue that the common conception of databases is too narrow for what lies ahead.

Database-centric 56

Database-centric Kafka Pipeline-centric Retail 56

Data Engineering Weekly

JUNE 10, 2024

Similar to how data modeling techniques emerged during the burst of relation databases, we started to see similar strategies for fine-tuning and prompt templates. And this is where DoubleCloud comes in: with our fully managed service for Apache Kafka, you can deploy production-ready clusters in just about 10 minutes.

Data Engineering 103

Data Engineering Data Engineer Engineering Kafka 103

Data Engineering Podcast

MAY 27, 2018

Links Alooma Convert Media Data Integration ESB (Enterprise Service Bus) Tibco Mulesoft ETL (Extract, Transform, Load) Informatica Microsoft SSIS OLAP Cube S3 Azure Cloud Storage Snowflake DB Redshift BigQuery Salesforce Hubspot Zendesk Spark The Log: What every software engineer should know about real-time data’s unifying abstraction by Jay (..)

Data Pipeline 100

Data Pipeline MongoDB Google Cloud Scala 100

Data Engineering Podcast

NOVEMBER 18, 2018

How does Flink compare to other streaming engines such as Spark, Kafka, Pulsar, and Storm? How does Flink compare to other streaming engines such as Spark, Kafka, Pulsar, and Storm? Can you start by describing what Flink is and how the project got started? What are some of the primary ways that Flink is used? How is Flink architected?

Process 100

Process Google Cloud Scala Kafka 100

Data Engineering Podcast

DECEMBER 8, 2019

Summary Data warehouses have gone through many transformations, from standard relational databases on powerful hardware, to column oriented storage engines, to the current generation of cloud-native analytical engines.

Data Warehouse 100

Data Warehouse Cloud AWS Relational Database 100

Cloudera

NOVEMBER 2, 2020

So they needed a data warehouse that could keep up with the scale of modern big data systems , but provide the semantics and query performance of a traditional relational database. Deep Dive into Time Series and Event Analytics Specialized RTDW , featuring Apache Druid, Apache Hive, Apache Kafka, and Cloudera DataViz.

Data Warehouse 97

Data Warehouse Kafka Lambda Architecture Telecommunication 97

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

AltexSoft

JUNE 7, 2021

Data engineers who previously worked only with relational database management systems and SQL queries need training to take advantage of Hadoop. Another available schema — DataFrames — is used to organize information in the named columns, similar to tables in relational databases. Complex programming environment.

Big Data Tools 98

Big Data Tools Hadoop Big Data Database-centric 98

Rockset

MARCH 5, 2020

Apache Kafka has seen broad adoption as the streaming platform of choice for building applications that react to streams of data in real time. In many organizations, Kafka is the foundational platform for real-time event analytics, acting as a central location for collecting event data and making it available in real time.

Kafka 40

Kafka Data Warehouse Data Lake Relational Database 40

Snowflake

JUNE 13, 2024

The new database connectors are built on top of Snowpipe Streaming, which means they also provide more cost-effective and lower latency pipelines for customers.

Data Ingestion 115

Data Ingestion MySQL PostgreSQL Data Pipeline 115

Confluent

SEPTEMBER 19, 2019

When people ask me the very top-level question “why do people use Kafka,” I usually lead with the story in my last post , where I talked about how Apache Kafka ® is helping us deliver on the promises the cloud made to us a decade ago. Industry heavyweights like Capital One use event streaming on Kafka for this very task.

Kafka 14

Kafka Data Pipeline Bytes Data Architect 14

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. Implementing a working plugin What is Kafka Connect and Confluent Hub?

Kafka 40

Kafka IT Data Storage Relational Database 40

LinkedIn Engineering

JANUARY 16, 2024

At the heart of this system was a reliance on a relational database, Oracle, which served as the repository for all member restrictions data. Figure 2: Relational database schema We adopted a pragmatic and scalable approach by distributing member restrictions across different Oracle tables.

Kafka 84

Kafka Relational Database Java Database 84

Netflix Tech

NOVEMBER 4, 2019

Luckily, we have Kafka events that are emitted each time a piece of data changes. Listening to Kafka events adds little latency, our fan out operations are really quick since we store foreign keys to identify the edges, and looking up data in an inverted index is fast as well. Our data changes constantly?—?marketing Search Indexer.

Kafka 98

Kafka Algorithm Database Relational Database 98

Cloudera

MARCH 23, 2023

Imagine, for instance, that we have a real-time Kafka stream containing plane data and we are working on an application that needs to download all planes in a certain area, above some altitude at any given time via REST. Primary key Every MV requires a primary key, as this will be our primary key in the underlying relational database as well.

SQL 81

SQL Kafka PostgreSQL Database 81

LinkedIn Engineering

MAY 11, 2023

For MaaS, the starting point was co-hosting the web service, relational database ( Postgres ), and Redis -based caching layer on a server. We decided to leverage Kafka as a distributed messaging queue. The choice of Kafka mainly stemmed from its widespread use within LinkedIn and its dedicated support SLA.

Management 101

Management PostgreSQL MySQL Kafka 101

Monte Carlo

MAY 28, 2024

Data Extraction with Apache Hadoop and Apache Sqoop : Hadoop’s distributed file system (HDFS) stores large data volumes; Sqoop transfers data between Hadoop and relational databases. Data Loading with Apache Hadoop and Apache Sqoop : Hadoop stores processed data; Sqoop loads it back into relational databases if needed.

Data Ingestion 52

Data Ingestion Architecture Designing Hadoop 52

Rockset

OCTOBER 11, 2022

Logstash offers a JDBC input plugin that polls a relational database, like PostgreSQL or MySQL, for inserts and updates periodically. Logstash offers a JDBC input plugin that polls a relational database, like PostgreSQL or MySQL, for inserts and updates periodically.

Data Ingestion 52

Data Ingestion Kafka Relational Database PostgreSQL 52

AltexSoft

MAY 14, 2021

This data isn’t just about structured data that resides within relational databases as rows and columns. NoSQL databases, also known as non-relational or non-tabular databases, use a range of data models for data to be accessed and managed. Cassandra is an open-source NoSQL database developed by Apache.

Big Data 78

Big Data Data Analytics IT NoSQL 78

Knowledge Hut

DECEMBER 26, 2023

Kafka Kafka is an open-source processing software platform. The applications developed by Kafka can help a data engineer discover and apply trends and react to user needs. You can refer to the following links to learn about Kafka: Apache Kafka Training by KnowledgeHut 6.

Data Engineering 98

Data Engineering Data Engineer Engineering Hadoop 98

AltexSoft

FEBRUARY 11, 2023

It serves as a foundation for the entire data management strategy and consists of multiple components including data pipelines; , on-premises and cloud storage facilities – data lakes , data warehouses , data hubs ;, data streaming and Big Data analytics solutions ( Hadoop , Spark , Kafka , etc.);

Data Architect 87

Data Architect Certification Generalist Big Data 87

Precisely

JANUARY 25, 2024

It frequently also means moving operational data from native mainframe databases to modern relational databases. Typically, a mainframe to cloud migration includes re-factoring code to a modern object-oriented language such as Java or C# and moving to a modern relational database.

Metadata 69

Metadata Relational Database Data Governance Government 69

Rockset

MARCH 26, 2023

Breaking Bad… Data Silos We haven’t quite figured out how to avoid using relational databases. Folks have definitely tried, and while Apache Kafka® has become the standard for event-driven architectures, it still struggles to replace your everyday PostgreSQL database instance in the modern application stack.

Cloud 52

Cloud PostgreSQL Kafka Database 52

Knowledge Hut

APRIL 25, 2024

NoSQL databases are designed for scalability and flexibility, making them well-suited for storing big data. The most popular NoSQL database systems include MongoDB, Cassandra, and HBase. In general, Hadoop and Spark are good choices for batch processing, while Kafka and Storm are better suited for streaming applications.

Big Data 98

Big Data Technology Hadoop NoSQL 98

Confluent

NOVEMBER 4, 2021

Classic relational database management systems (RDBMS) distribute and organize data in a relatively static storage layer. When queries are requested, they compute on the stored data and then return results […].

Database 64

Database Designing Relational Database Systems 64

Cloud Academy

JANUARY 27, 2022

Knowing SQL means you are familiar with the different relational databases available, their functions, and the syntax they use. For example, you can learn about how JSONs are integral to non-relational databases – especially data schemas, and how to write queries using JSON.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

AltexSoft

SEPTEMBER 23, 2021

The structure of data is usually predefined before it is loaded into a warehouse, since the DW is a relational database that uses a single data model for everything it stores. In a nutshell, a model is a specific data structure a database can ingest. Enrichment helps us increase the value of data by adding extra-context.

Architecture 52

Architecture Data Lake Unstructured Data Data Warehouse 52

Big Data Tools

OCTOBER 5, 2021

Kafka 3.0.0 – The Apache Software Foundation needed less than one month to go from Kafka version 3.0.0-rc0 PostgreSQL 14 – Sometimes I forget, but traditional relational databases play a big role in the lives of data engineers. And of course, PostgreSQL is one of the most popular databases.

Data Engineering 52

Data Engineering Data Engineer Engineering Big Data Tools 52

Big Data Tools

OCTOBER 5, 2021

Kafka 3.0.0 – The Apache Software Foundation needed less than one month to go from Kafka version 3.0.0-rc0 PostgreSQL 14 – Sometimes I forget, but traditional relational databases play a big role in the lives of data engineers. And of course, PostgreSQL is one of the most popular databases.

Data Engineering 52

Data Engineering Data Engineer Engineering Big Data Tools 52

Data Engineering Weekly

DECEMBER 18, 2022

link] Percona: JSON and Relational Databases – Part One Whether we like it or not, most data engineering and modeling challenges will be handling semi-structured data in the coming years. The Percona blog walkthrough JSON support in the relational databases. Streaming plus batch unified in a single platform.

Data Engineering 52

Data Engineering Data Engineer Engineering Relational Database 52

Silectis

JANUARY 3, 2021

Kafka Apache Kafka is the Apache Foundation’s open-source software platform for streaming. MySQL An open-source relational databse management system with a client-server model. PostgreSQL A free, open-source relational database management system, also known as Postgres.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

Booking.com Engineering

NOVEMBER 25, 2024

The data flow is somewhat inverted: every photo or piece of text that enters Booking.com is broadcasted through the companys system for general use via Kafka. We then persist the results in a relational DB (the specific DB varies per use case) for each piece ofcontent. We use Apache Flink to implement our streaming pipeline.

Building 43

Building Kafka Machine Learning Data Lake 43

Rockset

APRIL 15, 2021

Relational databases today are widely known to be suboptimal for supporting high-scale analytical use cases, and are all but certain to run into issues as your production data size and query volume grow. Compute and storage are also separately scaled in Rockset, allowing you to cost-optimize for the desired performance of your choice.

PostgreSQL 40

PostgreSQL MySQL Relational Database NoSQL 40

ProjectPro

JANUARY 25, 2022

PySpark is used to process real-time data with Kafka and Streaming, and this exhibits low latency. This collection of data is kept in Dataframe in rows with named columns, similar to relational database tables. Spark Streaming accepts a continuous data stream as input from Apache Flume, Kinesis, Kafka , TCP sockets, and others.

Big Data 52

Big Data Data Process Process Kafka 52

Knowledge Hut

JULY 24, 2023

According to recent studies, the global database market will grow from USD 63.4 SQL is a powerful tool for managing and manipulating relational databases, and it continues to be widely used in the industry today. billion in 2022 to $154.6 billion by 2030, at a CAGR of 11.8%. How is SQL Being Utilized?

Database 52

Database SQL Process NoSQL 52

Monte Carlo

JANUARY 5, 2024

Snowflake announced Snowpipe for streaming and refactored their Kafka connector, and Google announced Pub/Sub could now be streamed directly into the BigQuery. 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