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 80

Process Kafka SQL Machine Learning 80

Cloudera

FEBRUARY 21, 2023

SQL Stream Builder (SSB) is a versatile platform for data analytics using SQL as a part of Cloudera Streaming Analytics, built on top of Apache Flink. It enables users to easily write, run, and manage real-time continuous SQL queries on stream data and a smooth user experience. What is a data transformation?

SQL 107

SQL Kafka Raw Data Data 107

Cloudera

OCTOBER 13, 2021

Quite often, the digital natives of the family — you — have to explain to the analog fans of the family what PDFs are, how to use a hashtag, a phone camera, or a remote. Imagine if you had to explain what machine learning is and how to use it. Using these books, you can answer questions such as: . Have you heard about streaming?

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Machine Learning Data Ingestion Algorithm Technology 74

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.

SQL 81

SQL Raw Data Programming Language Kafka 81

Data Engineering Weekly

NOVEMBER 27, 2022

I have a long list of thoughts on this conversation, which might need a blog post on its own. Let’s take an example of Slack features, “Compose a DM,” Channel Selection," Invite Members,” or “Invite Reminder”? It is a great overview of streaming infrastructure characteristics.

Data Engineering 52

Data Engineering Data Engineer Engineering SQL 52

Data Engineering Weekly

MAY 16, 2023

I won’t bore you with the importance of data quality in the blog. The bias toward correctness will increase the processing time, which may not be feasible when speed is a priority. Let’s talk about the data processing types. Two-Phase WAP The Two-Phase WAP, as the name suggests, follows two copy processes.

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Engineering Kafka Data Pipeline Data Warehouse 110

Cloudera

JUNE 7, 2021

In October of 2020 Cloudera acquired Eventador and Cloudera Streaming Analytics (CSA) 1.3.0 It was the first release to incorporate SQL Stream Builder (SSB) from the acquisition, and brought rich SQL processing to the already robust Apache Flink offering. Why batch + streaming? A bit of Flink history.

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SQL Manufacturing Finance Architecture 61

Data Engineering Podcast

DECEMBER 9, 2018

Summary Apache Spark is a popular and widely used tool for a variety of data oriented projects. With the large array of capabilities, and the complexity of the underlying system, it can be difficult to understand how to get started using it. What are some of the main use cases for Spark? Who uses Spark?

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Scala MySQL Kafka Hadoop 100

DoorDash Engineering

OCTOBER 17, 2023

For example, if two reasonably sized groups are expected to be split 50/50, but instead show a 55/45 split, the assignment process likely is compromised. Cautionary tales of faux gains and real losses Example 1: The $10 Million Mirage Imagine that your target is to improve weekly revenue per user.

Education 87

Education Kafka Algorithm Data Warehouse 87

Big Data Tools

MAY 19, 2022

Take the new dynamic tasks , for example. Based on the “map-reduce” paradigm, they allow you to compute the next DAGs from the current state – a very useful feature, which incidentally has been available in Luigi for a while. Apache Hudi 1.11.0 – This release of the well-known data lake has added many interesting changes.

Data Engineering 52

Data Engineering Data Engineer Engineering Big Data Tools 52

Big Data Tools

MAY 19, 2022

Take the new dynamic tasks , for example. Based on the “map-reduce” paradigm, they allow you to compute the next DAGs from the current state – a very useful feature, which incidentally has been available in Luigi for a while. Apache Hudi 1.11.0 – This release of the well-known data lake has added many interesting changes.

Data Engineering 52

Data Engineering Data Engineer Engineering Big Data Tools 52

Netflix Tech

OCTOBER 28, 2021

I developed many batch and real-time data pipelines using open source technologies for AOL Advertising and eBay. Over the years, I followed the big data open-source community and Netflix tech blogs closely, and learned a lot about Netflix’s innovative engineering solutions and active contributions to the open-source ecosystem.

Data Engineering 69

Data Engineering Data Engineer Engineering Software Engineer 69

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. This is no doubt very interesting.

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. This is no doubt very interesting.

Data Engineering 52

Data Engineering Data Engineer Engineering Kafka 52

Netflix Tech

OCTOBER 15, 2019

Part I: Overview Andreas Andreakis , Falguni Jhaveri , Ioannis Papapanagiotou , Mark Cho , Poorna Reddy , Tongliang Liu Overview It is a commonly observed pattern for applications to utilize multiple datastores where each is used to serve a specific need such as storing the canonical form of data (MySQL etc.), caching (Memcached etc.),

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Transportation MySQL Kafka Data 77

Knowledge Hut

SEPTEMBER 6, 2023

This influx of data is handled by robust big data systems which are capable of processing, storing, and querying data at scale. Data Analysis : Strong data analysis skills will help you define ways and strategies to transform data and extract useful insights from the data set. Why Should You Take Big Data Certification?

Big Data 52

Big Data Certification Hadoop Scala 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 Lots of happy customers are aware of Apache Camel , an integration framework that makes it possible to connect almost anything to everything. Burton the same person? rc0 to the release of 3.0.0.

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 Lots of happy customers are aware of Apache Camel , an integration framework that makes it possible to connect almost anything to everything. Burton the same person? rc0 to the release of 3.0.0.

Data Engineering 52

Data Engineering Data Engineer Engineering Big Data Tools 52

Zalando Engineering

JULY 12, 2017

While developing Zalando’s real-time business process monitoring solution, we encountered the need to generate complex events upon the detection of specific patterns of input events. In this blog post we describe the generation of such events using Apache Flink, and share our experiences and lessons learned in the process.

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Process Kafka AWS Architecture 40

ProjectPro

JULY 23, 2021

AWS (Amazon Web Services) is the world’s leading and widely used cloud platform, with over 200 fully featured services available from data centers worldwide. This blog presents some of the most unique and innovative AWS projects from beginner to advanced levels. Mass Emailing using AWS Lambda 4. Customer Logic Workflow 8.

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AWS Project Amazon Web Services Cloud Computing 52

ProjectPro

JUNE 18, 2021

This blog aims to answer all questions on how Java vs Python compare for data science and which should be the programming language of your choice for doing data science in 2021. According to Popularity of Programming Languages (PYPL) , Python and Java are two of the most popular programming languages in use as of June 2021.

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Java Data Science Python Programming Language 52

Lyft Engineering

JUNE 6, 2023

Discover how Lyft identified and fixed performance issues in our streaming pipelines. Background Every streaming pipeline is unique. Profiling is the first step of the process, and requires the right tools. Figure 1: PyFlame Graph Example If your pipeline is JVM based, you can use various JVM profilers to identify bottlenecks.

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Utilities Coding Python Systems 123

Cloudera

MAY 7, 2024

Regardless of industry or use case, there are two key themes that always arise when executing on digital transformation strategies. Data needs to be shared in real time so it can be embedded deeper into everyday operational processes across the organization that are working from the same ground-truth.

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Kafka Data Lake Cloud Computing Cloud 52

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

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

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. Flink is here to stay. It makes perfect sense that Apache Flink has emerged as the standard.

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Database-centric Kafka Pipeline-centric Database 74

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

Rockset

MARCH 27, 2023

This is part two in Rockset’s Making Sense of Real-Time Analytics on Streaming Data series. In part 1 , we covered the technology landscape for real-time analytics on streaming data. In this post, we’ll explore the differences between real-time analytics databases and stream processing frameworks.

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Database Process Scala SQL 52

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. A good real-world example will be a taxi app. This is where Apache Kafka comes in. Let’s get started!

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Kafka Architecture AWS Transportation 75

Cloudera

AUGUST 10, 2022

Cloudera has a strong track record of providing a comprehensive solution for stream processing. Cloudera Stream Processing (CSP), powered by Apache Flink and Apache Kafka, provides a complete stream management and stateful processing solution.

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Process Kafka PostgreSQL MySQL 85

Cloudera

MAY 18, 2021

In case you missed it, part I starts with a simple case of calculating streaming VWAP. Event-driven and streaming architectures enable complex processing on market events as they happen, making them a natural fit for financial market applications. Value-at-Risk (VaR) is a widely used metric in risk management.

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SQL Java Data Business Analyst 92

LinkedIn Engineering

MARCH 23, 2023

Co-Authors: Yuhong Cheng , Shangjin Zhang , Xinyu Liu, and Yi Pan Efficient data processing is crucial in reducing learning curves, simplifying maintenance efforts, and decreasing operational complexity. By unifying these pipelines, we have saved 94% of processing time. Samza , Spark and Apache Flink ).

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Process Lambda Architecture Kafka Datasets 97

Pinterest Engineering

MAY 2, 2023

This kind of signal plays a critical role in various ML applications, especially for large-scale sequential modeling applications (see example ). At Pinterest, most of our streaming jobs are built on top of Apache Flink , because Flink is a mature streaming framework with a lot of adoption in the industry.

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Lambda Architecture Datasets Software Engineer Software Engineering 65

Cloudera

MAY 4, 2021

Event-driven and streaming architectures enable complex processing on market events as they happen, making them a natural fit for financial market applications. Flink SQL is a data processing language that enables rapid prototyping and development of event-driven and streaming applications. Streaming VWAP.

SQL 76

SQL Business Analyst Data Java 76

Lyft Engineering

AUGUST 14, 2023

Where’s My Data — A Unique Encounter with Flink Streaming’s Kinesis Connector For years now, Lyft has not only been a proponent of but also a contributor to Apache Flink. Context While Lyft runs many streaming applications, the one specifically in question is a persistence job. Data Engineer : “Alert!

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Data Engineering Process Management 78

Netflix Tech

NOVEMBER 20, 2023

by Jun He , Yingyi Zhang , and Pawan Dixit Incremental processing is an approach to process new or changed data in workflows. The key advantage is that it only incrementally processes data that are newly added or updated to a dataset, instead of re-processing the complete dataset.

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Process Data Pipeline Datasets SQL 84

Big Data Tools

FEBRUARY 9, 2022

Waiting a little longer might not be such a bad thing in this case, because now we have even more interesting releases to talk about! Theoretically, all of the components may be available, but the setup process is just a pain. Apache Hop 1.1 — The number of no-code tools is snowballing. Apache Hop is different in many ways.

Data Engineering 52

Data Engineering Data Engineer Engineering Big Data Tools 52