Cloudera

JULY 18, 2022

In part 1 of this blog we discussed how Cloudera DataFlow for the Public Cloud (CDF-PC), the universal data distribution service powered by Apache NiFi, can make it easy to acquire data from wherever it originates and move it efficiently to make it available to other applications in a streaming fashion.

Process 93

Process Kafka Scala SQL 93

Knowledge Hut

APRIL 25, 2024

It is especially true in the world of big data. If you want to stay ahead of the curve, you need to be aware of the top big data technologies that will be popular in 2024. In this blog post, we will discuss such technologies. Big data is a term that refers to the massive volume of data that organizations generate every day.

Big Data 98

Big Data Technology NoSQL Hadoop 98

Cloudera

MARCH 14, 2023

We just announced the general availability of Cloudera DataFlow Designer , bringing self-service data flow development to all CDP Public Cloud customers. In our previous DataFlow Designer blog post , we introduced you to the new user interface and highlighted its key capabilities.

Data Pipeline 87

Data Pipeline Designing Kafka Metadata 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

Cloudera

JULY 21, 2022

Cloudera users can securely connect Rill to a source of event stream data, such as Cloudera DataFlow , model data into Rill’s cloud-based Druid service, and share live operational dashboards within minutes via Rill’s interactive metrics dashboard or any connected BI solution. Data is made queryable in real time.

BI 89

BI Digital Media Data Warehouse Kafka 89

Confluent

JUNE 12, 2019

Confluent Cloud, a fully managed event cloud-native streaming service that extends the value of Apache Kafka ® , is simple, resilient, secure, and performant, allowing you to focus on what is important—building contextual event-driven applications, not infrastructure. KSQL and Kafka Connect example. and Helm/Tiller 2.8.2+

Cloud 90

Cloud Kafka Healthcare Software Engineer 90

Confluent

FEBRUARY 6, 2019

The blog posts How to Build and Deploy Scalable Machine Learning in Production with Apache Kafka and Using Apache Kafka to Drive Cutting-Edge Machine Learning describe the benefits of leveraging the Apache Kafka ® ecosystem as a central, scalable and mission-critical nervous system. For now, we’ll focus on Kafka.

Machine Learning 106

Machine Learning Python Kafka Java 106

Cloudera

JANUARY 20, 2021

The missing chapter is not about point solutions or the maturity journey of use cases, the missing chapter is about the data, it’s always been about the data, and most importantly the journey data weaves from edge to artificial intelligence insight. . STEP 4: Capture data from Apache Kafka streams.

Manufacturing 112

Manufacturing Data Warehouse Kafka Retail 112

Netflix Tech

OCTOBER 15, 2019

Beyond data synchronization, some applications also need to enrich their data by calling external services. Delta is an eventual consistent, event driven, data synchronization and enrichment platform. CDC (Change-Data-Capture) events are sent by the Delta-Connector to a Keystone Kafka topic.

Transportation 77

Transportation MySQL Kafka Data 77

Zalando Engineering

NOVEMBER 29, 2017

See Ranking Websites in Real-time with Apache Kafka’s Streams API for the first post in the series. Running Kafka Streams applications in AWS At Zalando, Europe’s leading online fashion platform, we use Apache Kafka for a wide variety of use cases. Our team at Zalando was an early adopter of the Kafka Streams API.

Kafka 40

Kafka AWS Amazon Web Services Utilities 40

Workfall

JUNE 27, 2023

It means that there is a high risk of data loss but Apache Kafka solves this because it is distributed and can easily scale horizontally and other servers can take over the workload seamlessly. We want to always have unified data which is broadcasted to all the client applications simultaneously without any latency.

Kafka 75

Kafka Architecture AWS Transportation 75

Cloudera

AUGUST 21, 2020

For example, if a credit card was used in the United States and shortly afterward the same card was used in Spain to withdraw the same amount, these two events in isolation could appear legitimate. However, in the context of time and geography, these two events point to a pattern of fraud.

Banking 62

Banking Kafka Cloud Storage Government 62

Data Engineering Weekly

MARCH 26, 2023

Contribute to the Rudderstack Transformations Library, Win $1000 RudderStack Transformations lets you customize event data in real time with your own JavaScript or Python code. link] NYT: Day in the Life of a Senior Analyst in the Data and Insights Group NYT publishes an article on data in the life of a senior analyst.

Data Engineering 52

Data Engineering Data Engineer Engineering Lambda Architecture 52

ProjectPro

FEBRUARY 21, 2023

Apache Spark is the most efficient, scalable, and widely used in-memory data computation tool capable of performing batch-mode, real-time, and analytics operations. The next evolutionary shift in the data processing environment will be brought about by Spark due to its exceptional batch and streaming capabilities.

Scala 52

Scala Programming Language Java Hadoop 52

ProjectPro

DECEMBER 7, 2021

Data pipelines are a significant part of the big data domain, and every professional working or willing to work in this field must have extensive knowledge of them. Big data pipelines must be able to recognize and process data in various formats, including structured, unstructured, and semi-structured, due to the variety of big data.

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52

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 20

Kafka BI SQL Datasets 20

LinkedIn Engineering

JANUARY 19, 2024

Data consistency, feature reliability, processing scalability, and end-to-end observability are key drivers to ensuring business as usual (zero disruptions) and a cohesive customer experience. With our new data processing framework, we were able to observe a multitude of benefits, including 99.9%

Recruitment 88

Recruitment Data Process Process Kafka 88

Snowflake

MARCH 21, 2023

Streaming Data Ingestion Snowpipe Streaming, Now in Public Preview Ingest rowsets from business application and IoT devices or from Apache Kafka topics directly into Snowflake at low latency. Read the announcement blog for more details and get started guides. © 2023 Snowflake Inc. All rights reserved.

Retail 72

Retail Healthcare Data Ingestion Consulting 72

Knowledge Hut

JANUARY 18, 2024

“Big data Analytics” is a phrase that was coined to refer to amounts of datasets that are so large traditional data processing software simply can’t manage them. For example, big data is used to pick out trends in economics, and those trends and patterns are used to predict what will happen in the future.

Data Process 52

Data Process Process Hadoop Scala 52

DoorDash Engineering

NOVEMBER 21, 2022

Instead, since the inventory levels are stored in specific CockroachDB tables, we decided to leverage CockroachDB’s change feed to send data changes to Kafka, which then starts Cadence workflows to accomplish whatever task needs to be done. We have set up one Kafka consumer per table (more details on how the consumer is set up below).

Data Process 57

Data Process Process Kafka Database 57

ProjectPro

JANUARY 25, 2022

Here’s What You Need to Know About PySpark This blog will take you through the basics of PySpark, the PySpark architecture, and a few popular PySpark libraries , among other things. Finally, you'll find a list of PySpark projects to help you gain hands-on experience and land an ideal job in Data Science or Big Data.

Big Data 52

Big Data Data Process Process Kafka 52

AltexSoft

OCTOBER 21, 2022

Kafka can continue the list of brand names that became generic terms for the entire type of technology. 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. What is Kafka? What Kafka is used for.

Kafka 93

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. Journey to Event Driven – Part 2: Programming Models for the Event-Driven Architecture.

Kafka 91

Kafka Pipeline-centric Architecture Database-centric 91

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.

Architecture 88

Architecture Programming Kafka Database-centric 88

Monte Carlo

JULY 7, 2022

Editor’s Note : We ran into Andrew at our London IMPACT event in early 2022. At the time, he was one of a very few people using the term “data contract.” Data contracts have since became one of the most discussed topics in data engineering. Why are data contracts important? Or is it a passing fad?

Data Warehouse 52

Data Warehouse Software Engineer Software Engineering Data 52

Netflix Tech

AUGUST 1, 2022

After evaluating the options , the team has decided to create Data Mesh as our next generation data pipeline solution. Last year we wrote a blog post about how Data Mesh helped our Studio team enable data movement use cases. Once deployed, the pipeline performs the actual heavy lifting data processing work.

Process 108

Process Transportation Kafka Entertainment 108

Rockset

FEBRUARY 24, 2023

Introduction Let’s get this out of the way at the beginning: understanding effective streaming data architectures is hard, and understanding how to make use of streaming data for analytics is really hard. Kafka or Kinesis ? Stream processing or an OLAP database? Streaming data has been around for decades.

Kafka 52

Kafka AWS Amazon Web Services Programming Language 52

Rockset

MARCH 18, 2024

That’s why we’re thrilled that Confluent Cloud is making it easier to use Flink, providing efficient and performant stream processing while saving engineers from complex infrastructure management. LLMs like ChatGPT are trained on vast amounts of text data available up to a cutoff date. What is RAG?

Cloud 64

Cloud Building Metadata Kafka 64

Data Engineering Weekly

FEBRUARY 12, 2023

But compute needs will likely not change much over time; most analysis is done over recent data. Historical data processing is a rare event, where 99% of the computing happens over the last 24 hours of data. The blog definitely added to my curiosity to think more. There is a lot of truth in this statement.

Data Engineering 52

Data Engineering Data Engineer Engineering Hadoop 52

Cloudera

AUGUST 2, 2021

If you’re asking yourself, “Isn’t Storm for complex event processing and NiFi for simple event processing?”, Since all the flows were simple event processing, the NiFi flows were built out in a matter of hours (drag-and-drop) instead of months (coding in Java). . you’re correct. Nifi Flows.

Kafka 119

Kafka Java Coding Process 119

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. Contents: What is the role of an Azure Data Engineer? Azure data engineers are essential in the design, implementation, and upkeep of cloud-based data solutions.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

Cloudera

NOVEMBER 2, 2020

Having a live view of all aspects of their network lets them identify potentially faulty hardware in real time so they can avoid impact to customer call/data service. Ingest 100s of TB of network event data per day . Updates and deletes to ensure data correctness. Time Series and Event Analytics Specialized RTDW.

Data Warehouse 99

Data Warehouse Kafka Lambda Architecture Telecommunication 99

Confluent

JUNE 18, 2019

Distributed transactions are very hard to implement successfully, which is why we’ll introduce a log-inspired system such as Apache Kafka ®. Building an indexing pipeline at scale with Kafka Connect. Moving data into Apache Kafka with the JDBC connector.

Architecture 94

Architecture Building Kafka Database-centric 94

Knowledge Hut

DECEMBER 21, 2023

As a data engineer, a strong understanding of programming, databases, and data processing is necessary. Understanding of Big Data technologies such as Hadoop, Spark, and Kafka. Junior data engineering is the best career option for those just starting in the thriving data engineering field.

Data Engineering 52

Data Engineering Data Engineer Engineering MongoDB 52

ProjectPro

JUNE 29, 2021

Your search for Apache Kafka interview questions ends right here! Let us now dive directly into the Apache Kafka interview questions and answers and help you get started with your Big Data interview preparation! How to study for Kafka interview? What is Kafka used for? What are main APIs of Kafka?

Kafka 40

Kafka Bytes Big Data Java 40

Cloudera

OCTOBER 26, 2020

To learn more, check out the blog post here. . A joint support process is in place that involves triaging any issue that occurs with our solution, regardless of where it is discovered and directing issues to the appropriate teams, either in Cloudera or Dell/EMC. Support Kafka connectivity to HDFS, AWS S3 and Kafka Streams.

Certification 90

Certification Cloud Kafka Unstructured Data 90

Confluent

OCTOBER 10, 2019

A key challenge, however, is integrating devices and machines to process the data in real time and at scale. Apache Kafka ® and its surrounding ecosystem, which includes Kafka Connect, Kafka Streams, and KSQL, have become the technology of choice for integrating and processing these kinds of datasets.

Kafka 20

Kafka Google Cloud Architecture Machine Learning 20