Cloudera

JANUARY 17, 2024

Cloudera DataFlow for the Public Cloud (CDF-PC) is a complete self-service streaming data capture and movement platform based on Apache NiFi. It allows developers to interactively design data flows in a drag and drop designer, which can be deployed as continuously running, auto-scaling flow deployments or event-driven serverless functions.

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Bytes Architecture Designing Building 101

ProjectPro

FEBRUARY 6, 2023

With over 10 million active subscriptions, 50 million active topics, and a trillion messages processed per day, Google Cloud Pub/Sub makes it easy to build and manage complex event-driven systems. Google Cloud Pub/Sub is a messaging service that allows apps and services to exchange event data. What is Google Pub/Sub?

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Google Cloud Cloud Cloud Storage Data Ingestion 52

Knowledge Hut

SEPTEMBER 29, 2023

In the below blog, we are going to read more about some of these AWS Solution Architect projects. It will help to streamline the process and allow you to use the most resources possible in accordance with your needs. Nearly all streaming services, including Netflix and Amazon Prime, feature content suggestions.

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AWS Project Coding Cloud Computing 52

Cloudera

DECEMBER 9, 2022

Recently, we announced the general availability of DataFlow Functions , allowing NiFi flows to be executed in serverless compute environments, such as AWS Lambda, Azure Functions, or Google Cloud Functions. . A streamlined deployment process from development to production. Test sessions act like on-demand NiFi sandboxes for developers.

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Designing Coding Google Cloud AWS 95

Rockset

AUGUST 11, 2022

I had the pleasure of recently hosting a data engineering expert discussion on a topic that I know many of you are wrestling with – when to deploy batch or streaming data in your organization’s data stack. Andreas also produces the well-known ‘Plumbers of Data Science’ blog and podcast , as well as a YouTube channel.

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Bytes Consulting Kafka MongoDB 52

Edureka

MAY 31, 2023

However, traditional batch processing methods often fall short of providing timely insights. Enter Azure Stream Analytics, a game-changer for industrial tech companies. Let’s delve into how and why Azure Stream Analytics has become an indispensable tool for industrial tech companies. But fear not!

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Project Manufacturing Retail Data Lake 52

Rockset

MAY 12, 2022

We'll be publishing more posts in the series in the near future, so subscribe to our blog so you don't miss them! Major news events can set the markets afire with electronic trades. Though some data sources like event streams were starting to arrive in real time, neither data nor queries were time sensitive.

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Analytics Application Lambda Architecture Hadoop Electronics 52

Rockset

JANUARY 3, 2023

This blog compiles real-time data predictions from industry leaders so you know what’s coming in 2023. Confluent’s State of Data in Motion Report found that 97% of companies around the world are using streaming data, making it central to the data landscape.

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Big Data Tools

JULY 13, 2022

The process of returning to active maintenance is not even described in the docs. There are also multiple improvements for streaming support (for Kafka and Kinesis ), along with many other changes. In a nutshell, InLong is a SaaS-based streaming platform that scales. Of course, the main topic is data streaming, as always.

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Data Engineering Data Engineer Engineering Kafka 52

Big Data Tools

JULY 13, 2022

The process of returning to active maintenance is not even described in the docs. There are also multiple improvements for streaming support (for Kafka and Kinesis ), along with many other changes. In a nutshell, InLong is a SaaS-based streaming platform that scales. Of course, the main topic is data streaming, as always.

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Data Engineering Data Engineer Engineering Kafka 52

ProjectPro

JULY 23, 2021

This blog presents some of the most unique and innovative AWS projects from beginner to advanced levels. Serverless Web App Intermediate Level AWS Projects 6. Real-time Data Processing Application 7. Serverless Image Recognition Engine 13. AWS Lambda is another foundation service for serverless computing.

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AWS Project Amazon Web Services Cloud Computing 52

Rockset

NOVEMBER 9, 2021

We can then either build bespoke solutions to poll the database for any new records and write them to a target system or a CSV file to be processed later. Fetching the Updates and Publishing them to the Target Database using Kafka Kafka is an event streaming platform that follows a pub-sub model. Which Option for CDC?

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MySQL Kafka AWS Database 52

Rockset

AUGUST 12, 2019

We’ll evaluate a few popular approaches to implementing real-time analytics on DynamoDB, all of which use DynamoDB Streams but differ in how the dashboards and applications are served: 1. DynamoDB Streams + Lambda + S3 2. DynamoDB Streams + Lambda + ElastiCache for Redis 3.

NoSQL 40

NoSQL AWS SQL Datasets 40

Rockset

APRIL 29, 2019

In this blog post I compare options for real-time analytics on DynamoDB - Elasticsearch , Athena, and Spark - in terms of ease of setup, maintenance, query capability, latency. However, as an operational database optimized for transaction processing, DynamoDB is not well-suited to delivering real-time analytics.

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NoSQL PostgreSQL AWS SQL 52

Rockset

MARCH 19, 2020

Intro In recent years, Kafka has become synonymous with “streaming,” and with features like Kafka Streams, KSQL, joins, and integrations into sinks like Elasticsearch and Druid, there are more ways than ever to build a real-time analytics application around streaming data in Kafka.

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Kafka Database Process SQL 40

Rockset

AUGUST 13, 2019

Organizations speak of operational reporting and analytics as the next technical challenge in improving business processes and efficiency. We consider several approaches, all of which use DynamoDB Streams but differ in how the dashboards are served: 1. DynamoDB Streams + Lambda + Kinesis Firehose + Redshift 2.

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BI NoSQL PostgreSQL AWS 40

Towards Data Science

APRIL 30, 2024

Balancing correctness, latency, and cost in unbounded data processing Image created by the author. Intro Google Dataflow is a fully managed data processing service that provides serverless unified stream and batch data processing. If you want to learn more about stream processing, I strongly recommend this paper.

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Google Cloud Process Cloud Lambda Architecture 63

Confluent

SEPTEMBER 26, 2019

The significant difference today is that companies use Apache Kafka as an event streaming platform for building mission-critical infrastructures and core operations platforms. Batch processing and reports after minutes or even hours is not sufficient. Apache Kafka as an event streaming platform for real-time analytics.

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Kafka BI SQL Datasets 20

Rockset

MARCH 18, 2024

Today, Confluent announced the general availability of its serverless Apache Flink service. Flink is one of the most popular stream processing technologies, ranked as a top five Apache project and backed by a diverse committer community including Alibaba and Apple. What is RAG?

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Cloud Building Metadata Kafka 64

Confluent

OCTOBER 1, 2019

If you looked at the Kafka Summits I’ve been a part of as a sequence of immutable events (and they are, unless you know something about time I don’t), it would look like this: New York City 2017, San Francisco 2017, London 2018, San Francisco 2018, New York City 2019, London 2019, San Francisco 2019. I think he was well received.

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Kafka Database Cloud Systems 14

Confluent

FEBRUARY 27, 2019

With serverless being all the rage, it brings with it a tidal change of innovation. or invest in a vendor-agnostic layer like the serverless framework ? or invest in a vendor-agnostic layer like the serverless framework ? What is more, as the world adopts the event-driven streaming architecture, how does it fit with serverless?

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Kafka AWS Architecture Cloud 109

Cloudera

OCTOBER 17, 2023

With few conferences curating content specific to streaming developers, Current has historically been an important event for anyone trying to keep a pulse on what’s happening in the streaming space. The adoption of Flink mirrors growth in streaming data volumes and maturity of the streaming market.

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Database-centric Kafka Pipeline-centric Database 74

ProjectPro

FEBRUARY 8, 2023

Read this blog to understand everything about AWS Glue that makes it one of the most popular data integration solutions in the industry. For e.g., Finaccel, a leading tech company in Indonesia, leverages AWS Glue to easily load, process, and transform their enterprise data for further processing. billion by 2026?

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Snowflake

MARCH 2, 2023

That proves to be a difficult task for data engineering teams that have to manage separate infrastructure for batch data and streaming data. To address this challenge, we are happy to announce the public preview of Snowpipe Streaming as the latest addition to our Snowflake ingestion offerings. How does Snowpipe Streaming work?

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Kafka Data Ingestion Data Pipeline Cloud Storage 123

Knowledge Hut

DECEMBER 4, 2023

In the process of learning cloud computing, creating a cloud computing mind map can be a very effectual aid if you are a beginner or even a professional. Let us explore more about cloud computing and mind maps through this blog. Serverless Computing – Serverless architecture boosts event-based and cost-effective approaches.

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Cloud Computing Cloud Google Cloud AWS 52

ProjectPro

JUNE 16, 2022

Generally, it consists of three key elements: a source, processing step(s), and destination to streamline movement across digital platforms. This blog will teach you about AWS Data Pipeline, its architecture, components, and benefits. The processing component decides how data flow is implemented. What is an AWS Data Pipeline?

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Data Pipeline AWS Amazon Web Services Data Consolidation 59

Confluent

FEBRUARY 13, 2019

Part 1 of this series discussed why you need to embrace event-first thinking, while this article builds a rationale for different styles of event-driven architectures and compares and contrasts scaling, persistence and runtime models. Event-driven architecture. Event-driven, reactive architecture. Being event first.

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Architecture Programming Kafka Database-centric 89

AltexSoft

OCTOBER 21, 2022

Similar to Google in web browsing and Photoshop in image processing, it became a gold standard in data streaming, preferred by 70 percent of Fortune 500 companies. Apache Kafka is an open-source, distributed streaming platform for messaging, storing, processing, and integrating large data volumes in real time.

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Kafka Hadoop ETL Tools Big Data 93

Confluent

MAY 9, 2019

Event-first thinking enables us to build a new atomic unit: the event. Four pillars of event streaming. Pillar 1 – Business function: Payment processing pipeline. Pillar 4 – Operational plane: Event logging, DLQs and automation. When we do replace transactions with events, it can seem complicated.

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Kafka Pipeline-centric Architecture Database-centric 92

ProjectPro

AUGUST 24, 2021

And, out of these professions, this blog will discuss the data engineering job role. Smart IoT Infrastructure Aviation Data Analysis Shipping and Distribution Demand Forecasting Event Data Analysis Data Ingestion Data Visualization Data Aggregation Let us discuss them in detail.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

Rockset

JUNE 8, 2023

Many development teams turn to DynamoDB for building event-driven architectures and user-friendly, performant applications at scale. Analytics on DynamoDB While NoSQL databases like DynamoDB generally have excellent scaling characteristics, they support only a limited set of operations that are focused on online transaction processing.

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NoSQL AWS SQL Database 52

Data Engineering Weekly

DECEMBER 4, 2022

Upsolver SQLake lets you process fast-moving data by simply writing a SQL query. Streaming plus batch unified in a single platform. I like the idea of "serverless Spark applications". I recently shared the thought and am excited to see Meta’s blog on static analysis of SQL queries. Please comment.

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Data Engineering Data Engineer Engineering Data Lake 52

AltexSoft

NOVEMBER 7, 2022

The tool represents processes in the form of directed acyclic graphs which visualize casual relationships between tasks and the order of their execution. Airflow is not a data processing tool by itself but rather an instrument to manage multiple components of data processing. What is Apache Airflow? Airflow webserver.

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PostgreSQL Metadata Python MySQL 52

Edureka

JANUARY 12, 2024

The Observer pattern is commonly used in various software scenarios, including implementing event handling systems, user interface updates, and decoupled communication between components in an application. Serverless Computing: Gaining much attention, serverless computing enables developers to focus on code rather than server management.

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NoSQL Java MongoDB Programming 52

Knowledge Hut

SEPTEMBER 21, 2023

In this blog, we will analyze the AWS Solution Architect Syllabus in depth to get an overview of how you can prepare for it. Area of Focus Creating requirements-driven event-driven, microservice, and multi-tier architectures. Recognizing instances that lend themselves to serverless technologies and behaviors.

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AWS Amazon Web Services Transportation Certification 52

phData: Data Engineering

JANUARY 3, 2022

We’ll work through the different facets of taking your data and extracting business value with the same rigor and process companies apply to product development. If you have hundreds of thousands of users using a variety of products, you need more tooling and processes at your disposal that enables a thoughtful and scalable approach.

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IT AWS Software Engineer Software Engineering 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. Cloud Memorystore, Amazon ElastiCache, and Azure Cache), applying this concept to a distributed streaming platform is fairly new. But deployment is just the tip of the iceberg.

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