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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Striim

NOVEMBER 17, 2023

Real-time data processing in the world of machine learning allows data scientists and engineers to focus on model development and monitoring. Striim’s strength lies in its capacity to connect to over 150 data sources, enabling real-time data acquisition from virtually any location and simplifying data transformations.

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Snowflake

JUNE 5, 2024

With Snowpark’s existing DataFrame API , users have access to a robust framework for lazily evaluated, relational operations on data, closely resembling Spark’s conventions. pandas is the go-to data processing library for millions worldwide, including countless Snowflake users. Why introduce a distributed pandas API?

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Python Programming Language Government SQL 113

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. Apache Beam lets users define processing logic based on the Dataflow model.

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Lyft Engineering

JUNE 6, 2023

This article will cover the following topics: Performance improvement process Strategies to profile streaming pipelines Common performance problems General guidelines to improve performance Performance Improvement Process The performance improvement of any software system is not an independent and isolated task but an iterative process.

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Striim

SEPTEMBER 11, 2024

With data volumes and sources rapidly increasing, optimizing how you collect, transform, and extract data is more crucial to stay competitive. That’s where real-time data, and stream processing can help. We’ll answer the question, “What are data pipelines?” Table of Contents What are Data Pipelines?

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Cloudera

DECEMBER 2, 2024

Cloudera is committed to providing the most optimal architecture for data processing, advanced analytics, and AI while advancing our customers’ cloud journeys. Together, Cloudera and AWS empower businesses to optimize performance for data processing, analytics, and AI while minimizing their resource consumption and carbon footprint.

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Tweag

APRIL 19, 2023

To allow innovation in medical imaging with AI, we need efficient and affordable ways to store and process these WSIs at scale. Marini et al This results in a very large amount of data for a single slide, often a few gigabytes per slide, which is all stored in one big file. data import torch. or we can change the equation!

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Snowflake

JUNE 20, 2024

In the age of AI, enterprises are increasingly looking to extract value from their data at scale but often find it difficult to establish a scalable data engineering foundation that can process the large amounts of data required to build or improve models. Snowflake customers see an average of 4.6x

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Knowledge Hut

MAY 3, 2024

A new breed of ‘Fast Data’ architectures has evolved to be stream-oriented, where data is processed as it arrives, providing businesses with a competitive advantage. Dean Wampler (Renowned author of many big data technology-related books) Dean Wampler makes an important point in one of his webinars.

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Marc Lamberti

SEPTEMBER 22, 2023

That cake doesn’t get magicked into existence; it involves a process – a step-by-step recipe you carefully need to follow; otherwise, you will get something different. You can inject data at runtime, create data pipelines from YAML files, and generate tasks dynamically. What is an orchestrator? The analogy!

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Pinterest Engineering

NOVEMBER 28, 2023

Pinterest’s real-time metrics asynchronous data processing pipeline, powering Pinterest’s time series database Goku, stood at the crossroads of opportunity. The mission was clear: identify bottlenecks, innovate relentlessly, and propel our real-time analytics processing capabilities into an era of unparalleled efficiency.

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ThoughtSpot

OCTOBER 18, 2024

In the fast-paced world of software development, the efficiency of build processes plays a crucial role in maintaining productivity and code quality. This requirement prompted us to explore Build Analytics—harnessing data from our build processes to gain actionable insights.

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Cloudera

DECEMBER 4, 2024

Today enterprises can leverage the combination of Cloudera and Snowflake—two best-of-breed tools for ingestion, processing and consumption of data—for a single source of truth across all data, analytics, and AI workloads.

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Data Science Blog: Data Engineering

NOVEMBER 15, 2023

In addition to Business Intelligence (BI), Process Mining is no longer a new phenomenon, but almost all larger companies are conducting this data-driven process analysis in their organization. This aspect can be applied well to Process Mining, hand in hand with BI and AI.

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Netflix Tech

DECEMBER 14, 2023

Engineers from across the company came together to share best practices on everything from Data Processing Patterns to Building Reliable Data Pipelines. The result was a series of talks which we are now sharing with the rest of the Data Engineering community! In this video, Sr.

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Knowledge Hut

JANUARY 23, 2024

To stay on top of processes and synchronize all the elements involved, I turn to one of the key best practices in the rule book: Project Integration Management. Here’s what can be achieved through integration management: Processes and tasks can be organized and listed out. Get to know more about project description.

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Knowledge Hut

MAY 3, 2024

Cluster Computing: Efficient processing of data on Set of computers (Refer commodity hardware here) or distributed systems. It’s also called a Parallel Data processing Engine in a few definitions. Spark is utilized for Big data analytics and related processing. Why Apache Spark?

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Data Engineering Podcast

JANUARY 30, 2022

Matt Harrison is a Python expert with a long history of working with data who now spends his time on consulting and training. What are some of the common mistakes that can lead to poor performance when scaling to large data sets? What are some of the utility features that you have found most helpful for data processing?

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Netflix Tech

DECEMBER 3, 2022

Dataflow Dataflow is a command line utility built to improve experience and to streamline the data pipeline development at Netflix. Generally, we prefer to execute DDL commands as part of the workflow itself, instead of running outside of the schedule, because it simplifies the development process. test_sparksql_write.py

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Knowledge Hut

JANUARY 30, 2024

ITIL Processes ITIL comprises several processes that make it extremely adaptable, scalable, and diverse. These processes consist of activities with specified inputs, causes, and outputs. Let's look at some of the ITIL Processes and ideas that underpin them. This process is completed through five successive activities.

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Cloudera

AUGUST 16, 2021

Depending on how the clusters were sized initially, organizations might also have to add additional compute resources to their clusters to keep up with the growing number of use cases and ever increasing data volumes. Figure 3: Export a NiFi process group from an existing cluster. and later). Simple, wizard driven NiFi deployments.

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Cloudyard

SEPTEMBER 2, 2024

This capability enables advanced analytics, custom data processing, and seamless integration of Python libraries. In this blog post, we’ll explore how to create and utilize a.Py One particularly powerful feature is the ability to import and use Python files (.py) file inside a Snowflake Python stored procedure.

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Netflix Tech

NOVEMBER 14, 2023

In the previous installments of this series, we introduced Psyberg and delved into its core operational modes: Stateless and Stateful Data Processing. Pipelines After Psyberg Let’s explore how different modes of Psyberg could help with a multistep data pipeline. In this case, the minimum hour to process the data is hour 2.

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Cloudera

NOVEMBER 18, 2020

It hosts over 150 big data analytics sandboxes across the region with over 200 users utilizing the sandbox for data discovery. With this functionality, business units can now leverage big data analytics to develop better and faster insights to help achieve better revenues, higher productivity, and decrease risk. .

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Cloudera

JUNE 2, 2021

This becomes especially acute as the downstream consumers of these pipelines start multiplying in great numbers feeding the likes of data warehouses and machine learning practitioners. Unlike other software products in the market that have taken a fragmented approach towards data engineering, Cloudera is taking a more integrative approach.

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Snowflake

JANUARY 23, 2024

Behind the scenes, Snowpark ML parallelizes data processing operations by taking advantage of Snowflake’s scalable computing platform. Spark New Zealand , a telecommunications and digital services company, utilizes Snowpark ML to better understand its customers’ needs and preferences for Skinny Mobile, a prepay mobile provider.

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Snowflake

NOVEMBER 20, 2023

These new types of apps operate over large sets of data, have increasingly higher compute demands, require strict data privacy protections, provide very sophisticated web experiences, and need to be secure at all stages of their life cycles. What’s next?

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Maxime Beauchemin

APRIL 26, 2023

To support engineers in this process, I am introducing Promptimize , a Python toolkit designed to measure success and outcomes while doing prompt engineering. The goal of prompt engineering is to maximize the utility and accuracy of the AI’s output while minimizing biases, errors, or irrelevant content. What a stellar assistant!

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Pinterest Engineering

JULY 11, 2023

Divye , Teja , Chen , Sam , Lu , Heng , Kanchi , Rainie , Dinesh , Ashish , Nishant , Pooja | Stream Processing Platform Team At Pinterest, stream data processing powers a wide range of real-time use cases. Our Flink clusters are multitenant and run jobs that concurrently process more than 20M msgs/sec across 12 clusters.

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Knowledge Hut

APRIL 25, 2024

Big data has been a concept for some time, but it has only just begun to change the corporate sector. Most businesses today understand how to gather the terabytes of data that constantly pour into their operations and utilize analytics to transform them into insightful information. What is Big Data?

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Knowledge Hut

FEBRUARY 1, 2024

What is Data Cleaning in Data Science? Data cleaning is the process of identifying and fixing incorrect data. Various fixes can be made to the data values representing incorrectness in the data. Some data pipeline systems also allow you to resume the pipeline from the middle, thus, saving time.

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Knowledge Hut

DECEMBER 22, 2023

Implementing voice recognition technology and APIs to accurately transcribe and process voice inputs. Benefits: Personalized User Experience Automation and Efficiency Advanced Data Analysis Chatbots and Virtual Assistants Examples: Implementing chatbots on websites to provide instant customer support and assistance.

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Knowledge Hut

JANUARY 29, 2024

These servers are primarily responsible for data storage, management, and processing. Data Science is known to use data analytics software for this process. Data Analytics refers to transforming, inspecting, cleaning, and modeling data. Data scientists must teach themself about cloud computing.

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Knowledge Hut

DECEMBER 22, 2023

By enabling users to identify and construct ranges as well as filter, sort, merge, clean, and trim data, MS Excel helps data science. It is possible to generate pivot tables and charts and utilize Visual Basic for Applications (VBA). Cloud Computing Every day, data scientists examine and evaluate vast amounts of data.

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DataKitchen

APRIL 13, 2021

Testing and Data Observability. Process Analytics. We have also included vendors for the specific use cases of ModelOps, MLOps, DataGovOps and DataSecOps which apply DataOps principles to machine learning, AI, data governance, and data security operations. . Reflow — A system for incremental data processing in the cloud.

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Knowledge Hut

DECEMBER 29, 2023

There are many data science fields in which experts may contribute to the success of a business, and you can hone the abilities you need by specializing in data science subfields. Data Engineering and Warehousing The data is the lifeblood of every successful Data Science endeavor.

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