Cloudera

MAY 1, 2023

By breaking down monolithic apps into microservices architectures, for example, or making modularized data products, organizations do their best to enable more rapid iterative cycles of design, build, test, and deployment of innovative solutions. release of Cloudera’s SQL Stream Builder (available on CDP Public Cloud 7.2.16

SQL 76

SQL Project Kafka Accessible 76

Data Engineering Weekly

SEPTEMBER 24, 2023

The blog talks about the limitations of rule engines and how LLM can enrich additional context to make the rule engine more effective. The blog specifically focuses on the following areas of LLM implementations. The blog is an excellent read about the “Scale First, Learn Last” problem in the data processing world.

Data Engineering 67

Data Engineering Data Engineer Engineering Kafka 67

Cloudera

JUNE 28, 2022

In a previous blog of this series, Turning Streams Into Data Products , we talked about the increased need for reducing the latency between data generation/ingestion and producing analytical results and insights from this data. Building real-time streaming analytics data pipelines requires the ability to process data in the stream.

Process 81

Process Kafka SQL Machine Learning 81

Netflix Tech

AUGUST 30, 2021

By Benson Ma , Alok Ahuja Introduction At Netflix, hundreds of different device types, from streaming sticks to smart TVs, are tested every day through automation to ensure that new software releases continue to deliver the quality of the Netflix experience that our customers enjoy.

Management 85

Management Kafka Transportation Cloud 85

Cloudera

SEPTEMBER 28, 2020

They have dev, test, and production clusters running critical workloads and want to upgrade their clusters to CDP Private Cloud Base. Modernize their architecture to ingest data in real-time using the new streaming features available in CDP Private Cloud Base in order to make the data available to their users quickly. Background: .

Cloud 131

Cloud Kafka Professional Services Metadata 131

Lyft Engineering

JUNE 28, 2023

However, streaming data was not supported as a first-class citizen across many of the platform’s systems — such as training, complex monitoring, and others. While several teams were using streaming data in their Machine Learning (ML) workflows, doing so was a laborious process, sometimes requiring weeks or months of engineering effort.

Machine Learning 115

Machine Learning Building Metadata Kafka 115

Data Engineering Weekly

JANUARY 21, 2024

A thorough quickstart guide, created in partnership with Snowflake, is available, complete with a sample dataset so you can test-drive the tool. link] Grab: Kafka on Kubernetes: Reloaded for fault tolerance. Grab Engineering writes about enhancing its Kafka on the Kubernetes platform for improved fault tolerance.

Data Engineering 52

Data Engineering Data Engineer Engineering Kafka 52

Cloudera

FEBRUARY 22, 2023

Cloudera’s SQL Stream Builder (SSB) is a versatile platform for data analytics using SQL. As apart of Cloudera Streaming Analytics it enables users to easily write, run, and manage real-time SQL queries on streams with a smooth user experience, while it attempts to expose the full power of Apache Flink. Our TOTZ UDF did the job!

SQL 81

SQL Raw Data Programming Language Kafka 81

Cloudera

JANUARY 19, 2022

We are excited to announce the release of Cloudera Streaming Analytics (CSA) 1.6 Cloudera SQL Stream Builder was initially released in CSA 1.3. But we want to address one question that keeps coming up – does CSA CE make sense as my main development environment for stream processing jobs? for CDP Private Cloud Base.

Java 85

Java Kafka SQL Cloud 85

DoorDash Engineering

OCTOBER 17, 2023

SRM represents one of the most egregious data quality issues in A/B tests because it fundamentally compromises the basic assumption of random assignment. Statistical approaches for identifying imbalance The most common approach for identifying SRM is to use a chi-square test that can quickly detect when something is wrong.

Education 87

Education Kafka Algorithm Data Warehouse 87

Snowflake

AUGUST 16, 2023

Read our Summit recap blog for highlights across industries or watch Summit sessions now on-demand. Developers can now start building and testing Snowflake Native Apps in their accounts in AWS. Data comes in a continuous manner, and often a separate architecture is required to handle streaming data. Learn more here.

Scala 52

Scala Transportation Kafka Data Lake 52

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

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. Native streaming ingestion support from Kafka and Kinesis.

BI 83

BI Digital Media Data Warehouse Kafka 83

Cloudera

MARCH 14, 2023

In our previous DataFlow Designer blog post , we introduced you to the new user interface and highlighted its key capabilities. In this blog post we will put these capabilities in context and dive deeper into how the built-in, end-to-end data flow life cycle enables self-service data pipeline development.

Data Pipeline 81

Data Pipeline Designing Kafka Metadata 81

Data Engineering Podcast

APRIL 19, 2020

In this episode Eventador Founder and CEO Kenny Gorman describes how the platform is architected, the challenges inherent to managing reliable streams of data, the simplicity offered by a SQL interface, and the interesting projects that his customers have built on top of it. How does it fit into an application architecture?

Building 100

Building PostgreSQL MongoDB SQL 100

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

dbt Developer Hub

AUGUST 2, 2023

Jetblue has outgrown lambda views due to performance constraints (a view can only be so performant) and we are at another milestone in dbt’s journey to support streaming. For the sake of simplicity, when I refer to materialized views in this blog, I mean dynamic tables in Snowflake. So, what does that mean?

Datasets 52

Datasets Kafka SQL Cloud 52

Cloudera

OCTOBER 4, 2022

This blog post will provide guidance to administrators currently using or interested in using Kafka nodes to maintain cluster changes as they scale up or down to balance performance and cloud costs in production deployments. Kafka brokers contained within host groups enable the administrators to more easily add and remove nodes.

Kafka 77

Kafka Data Cloud Big Data 77

Confluent

APRIL 10, 2019

Instead of having many point-to-point connections between sites, the Confluent Platform provides an integrated event streaming architecture with frictionless data replication between sites. First and foremost, Confluent Control Center can manage multi-datacenter Apache Kafka ® deployments, whether on prem or in the cloud.

Kafka 83

Kafka Metadata Java Cloud 83

Data Engineering Podcast

DECEMBER 9, 2018

Preamble Hello and welcome to the Data Engineering Podcast, the show about modern data management When you’re ready to build your next pipeline, or want to test out the projects you hear about on the show, you’ll need somewhere to deploy it, so check out Linode. Who uses Spark? What are the tools offered to Spark users?

Scala 100

Scala MySQL Kafka Hadoop 100

ProjectPro

FEBRUARY 21, 2023

The next evolutionary shift in the data processing environment will be brought about by Spark due to its exceptional batch and streaming capabilities. This blog explores the pathway to becoming a successful Databricks Certified Apache Spark Developer and presents an overview of everything you need to know about the role of a Spark developer.

Scala 52

Scala Programming Language Java Hadoop 52

Cloudera

JULY 15, 2021

This blog post provides an overview of best practice for the design and deployment of clusters incorporating hardware and operating system configuration, along with guidance for networking and security as well as integration with existing enterprise infrastructure. Introduction and Rationale. Recommended deployment patterns.

Architecture 97

Architecture Cloud Kafka Hadoop 97

Knowledge Hut

SEPTEMBER 6, 2023

Finally, there is a test to certify successful completion of the course. Big Data Frameworks : Familiarity with popular Big Data frameworks such as Hadoop, Apache Spark, Apache Flink, or Kafka are the tools used for data processing. I mentioned few of the best big data training online courses in this blog.

Big Data 52

Big Data Certification Hadoop Scala 52

Data Engineering Podcast

NOVEMBER 26, 2019

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management When you’re ready to build your next pipeline, or want to test out the projects you hear about on the show, you’ll need somewhere to deploy it, so check out our friends at Linode.

Data Warehouse 100

Data Warehouse Building PostgreSQL Kafka 100

Data Engineering Weekly

NOVEMBER 27, 2022

Sign up free to test out the tool today. I have a long list of thoughts on this conversation, which might need a blog post on its own. Save Your Seat Myntra: Quicksilver - Near Real Time Platform at Myntra Myntra writes about its near-real-time streaming platform built on top of Kafka, Flink & Spark.

Data Engineering 52

Data Engineering Data Engineer Engineering SQL 52

Data Engineering Podcast

JANUARY 13, 2019

New products have been launched, more businesses have moved to streaming analytics, and the team at Timescale has been keeping busy. New products have been launched, more businesses have moved to streaming analytics, and the team at Timescale has been keeping busy. Summary The past year has been an active one for the timeseries market.

Database 100

Database PostgreSQL SQL MongoDB 100

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.

Bytes 52

Bytes Consulting Kafka MongoDB 52

Cloudera

DECEMBER 9, 2022

They value NiFi’s visual, no-code, drag-and-drop UI, the 450+ out-of-the-box processors and connectors, as well as the ability to interactively explore data by starting individual processors in the flow and immediately seeing the impact as data streams through the flow. . Test sessions act like on-demand NiFi sandboxes for developers.

Designing 96

Designing Coding Google Cloud AWS 96

Data Engineering Podcast

AUGUST 24, 2020

When you’re ready to build your next pipeline, or want to test out the projects you hear about on the show, you’ll need somewhere to deploy it, so check out our friends at Linode. I’m working with O’Reilly on a project to collect the 97 things that every data engineer should know, and I need your help.

Metadata 100

Metadata Management Kafka Data Engineering 100

Data Engineering Weekly

JUNE 12, 2023

Sign up free to test out the tool today. link] Lyft: Gotchas of Streaming Pipelines: Profiling & Performance Improvements A must-read article if you are into the operational efficiency of streaming data pipelines. It is true for Kafka protocol, Hive metastore, and many others.

Data Engineering 57

Data Engineering Data Engineer Engineering AWS 57

Big Data Tools

OCTOBER 10, 2022

This time I learned about Brooklin, a LinkedIn service for streaming data in a heterogeneous environment. The official GitHub for the project says that it is characterized by high reliability and throughput, claiming that Brooklin can run hundreds of streaming pipelines simultaneously. Don’t forget to check your tests!

Data Engineering 52

Data Engineering Data Engineer Engineering Kafka 52

Big Data Tools

OCTOBER 10, 2022

This time I learned about Brooklin, a LinkedIn service for streaming data in a heterogeneous environment. The official GitHub for the project says that it is characterized by high reliability and throughput, claiming that Brooklin can run hundreds of streaming pipelines simultaneously. Don’t forget to check your tests!

Data Engineering 52

Data Engineering Data Engineer Engineering Kafka 52

Cloudera

OCTOBER 13, 2020

Data Hub – has expanded to support all stages of the data lifecycle: Collect – Flow Management (Apache NiFi), Streams Management (Apache Kafka) and Streaming Analytics (Apache Flink). The post Happy Birthday, CDP Public Cloud appeared first on Cloudera Blog. 1) Currently available on AWS only. (2)

Cloud 92

Cloud Data Warehouse AWS Machine Learning 92

ProjectPro

JANUARY 24, 2023

If you are preparing for your ETL developer or data engineer interview , you must possess a solid fundamental knowledge of AWS Glue, as you’re likely to get asked questions that test your ability to handle complex big data ETL tasks. The Schema Registry supports Java client apps and the Apache Avro and JSON Schema data formats.

AWS 52

AWS Data Lake ETL Tools Scala 52

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

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

Data Engineering Podcast

OCTOBER 7, 2019

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management When you’re ready to build your next pipeline, or want to test out the projects you hear about on the show, you’ll need somewhere to deploy it, so check out our friends at Linode. Visit Datacoral.com today to find out more.

Structured Data 100

Structured Data Cloud SQL Programming Language 100