Cloudyard

NOVEMBER 17, 2023

Read Time: 2 Minute, 24 Second In this post, we will explore the automation of the COPY process for loading a Snowflake table from an S3 bucket. However, the business requirement is to implement a dynamic COPY process. Imagine a scenario where data needs to be migrated from a traditional system to a Snowflake database.

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Towards Data Science

NOVEMBER 16, 2023

Data Management A tutorial on how to use VDK to perform batch data processing Photo by Mika Baumeister on Unsplash Versatile Data Ki t (VDK) is an open-source data ingestion and processing framework designed to simplify data management complexities. ELT (Extract, Load, Transform) is a typical use case for batch data processing.

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Netflix Tech

NOVEMBER 14, 2023

By Abhinaya Shetty , Bharath Mummadisetty In the inaugural blog post of this series, we introduced you to the state of our pipelines before Psyberg and the challenges with incremental processing that led us to create the Psyberg framework within Netflix’s Membership and Finance data engineering team.

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KDnuggets

APRIL 18, 2023

Natural Language Processing is one of the hottest areas of research. While NLP tasks may seem a bit complicated at first, they can be made easier by using the right tools. This article covers a list of the top 6 NLP Libraries that can save you time and effort.

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Process 143

Medium Data Engineering

SEPTEMBER 25, 2023

In the world of data engineering, the way data is processed can be broadly categorized into two distinct paradigms: Batch Processing and… Continue reading on Medium »

Data Engineering 52

Data Engineering Data Engineer Process Engineering 52

Waitingforcode

AUGUST 2, 2023

When you wrote your first arbitrary stateful processing pipelines, the state expiration is maybe the first tricky point you had to deal with. Why is that? After all, it's just about setting the timeout, doesn't it? Most of the time, yes, but there is an exception.

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Pinterest Engineering

SEPTEMBER 12, 2023

Behind the scenes, hundreds of ML engineers iteratively improve a wide range of recommendation engines that power Pinterest, processing petabytes of data and training thousands of models using hundreds of GPUs. It often requires a long process that touches many languages and frameworks. As model architecture building blocks (e.g.

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Precisely

SEPTEMBER 25, 2023

An important part of this journey is the data validation and enrichment process. Defining Data Validation and Enrichment Processes Before we explore the benefits of data validation and enrichment and how these processes support the data you need for powerful decision-making, let’s define each term.

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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. This is where the processes are filtered and analyzed.

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Precisely

OCTOBER 2, 2023

Manual, error-prone SAP data processes simply don’t cut it anymore. Automating the processes that create and maintain the vast amounts of interdependent data that support your SAP ERP business processes is key to gaining agility, speed, and improved data quality and integrity. What does that change look like? Automation.

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Medium Data Engineering

NOVEMBER 16, 2023

A tutorial on how to use VDK to perform batch data processing Continue reading on Towards Data Science »

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Data Process Data Process Data Science 98

KDnuggets

SEPTEMBER 26, 2023

An overview of Natural Language Processing (NLP) and its applications.

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Process IT 89

Medium Data Engineering

NOVEMBER 27, 2023

Apache Spark, a powerful open-source distributed computing system, has become a cornerstone in the big data processing landscape. Its… Continue reading on Medium »

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Data Process Process Data Big Data 52

Waitingforcode

FEBRUARY 3, 2023

Setting a data processing layer up has several phases. You need to write the job, define the infrastructure, CI/CD pipeline, integrate with the data orchestration layer, and finally, ensure the job can access the relevant datasets. The most basic authentication mechanism uses login/password pair but can we do better on the cloud? Let's see!

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Data Process Cloud Process Data 100

Medium Data Engineering

NOVEMBER 25, 2023

In the realm of big data processing, optimizing performance is a constant challenge. One crucial aspect is handling data distribution… Continue reading on Medium »

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Process Data Big Data Data Process 52

KDnuggets

OCTOBER 19, 2022

Do they differ considerably (or at all) from each other, or from other such processes available? This post is a summary of 2 distinct frameworks for approaching machine learning tasks, followed by a distilled third.

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Machine Learning Process 145

Medium Data Engineering

APRIL 19, 2023

Data processing is the process of collecting, transforming, and analyzing data to generate useful insights and information. It is an… Continue reading on Medium »

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Data Process Process Data Data Engineering 52

Medium Data Engineering

APRIL 18, 2023

In this article, we’ll explore three popular data processing approaches: batch processing, real-time processing, and stream processing… Continue reading on Medium »

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Data Process Process Data Data Engineering 52

Confluent

NOVEMBER 30, 2022

What is stream processing, or complex event processing (CEP), and how does it work? Learn about real-time data and event stream analytics in this tutorial.

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Process Data IT 118

Medium Data Engineering

DECEMBER 1, 2023

In the world of big data, Apache Spark has emerged as a powerful and versatile tool for data processing. Its ability to handle large… Continue reading on Medium »

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Data Analysis Data Process Big Data 52

KDnuggets

MAY 16, 2022

This post provides a concise overview of 18 natural language processing terms, intended as an entry point for the beginner looking for some orientation on the topic.

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Process 136

DataKitchen

NOVEMBER 4, 2021

It expands beyond tools and data architecture and views the data organization from the perspective of its processes and workflows. The DataKitchen Platform is a “ process hub” that masters and optimizes those processes. Errors are caused by inconsistencies in how the analytics team applies data processes and business logic.

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Medium Data Engineering

AUGUST 8, 2023

What is stream processing? Stream processing involves analyzing and processing data as it is generated and arrives in a continuous stream. Continue reading on Medium »

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Process Data Data Engineering Data Engineer 52

Medium Data Engineering

NOVEMBER 10, 2023

What is MPP: Massively Parallel Processing (MPP) is a type of parallel computing architecture where multiple processors work together… Continue reading on Medium »

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Process Architecture Cloud Computing Data Engineering 52

Medium Data Engineering

OCTOBER 19, 2023

Explaining distributed data processing in layman's terms Continue reading on Medium »

Data Process 52

Data Process Process Data Data Engineering 52

KDnuggets

JUNE 20, 2023

Orca is a 13B parameter model that learns to imitate the reasoning processes of LFMs. It uses progressive learning and teacher assistance from ChatGPT to overcome capacity gaps. By leveraging rich signals from GPT-4, Orca enhances its capabilities and improves imitation learning performance.

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Process IT 101

Towards Data Science

APRIL 3, 2023

Building a Mental Model for Engineers and Anyone in Between Stream Processing can be handled gently and with care, or wildly, and almost out of control! By processing a smaller set of data, more often , you effectively divide and conquer a data problem that may otherwise be cost and time prohibitive.

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Process Data Data Engineering Data Engineer 94

Medium Data Engineering

FEBRUARY 14, 2023

Batch processing and stream processing are two approaches to data processing that are used in different scenarios. Here are some real-time… Continue reading on Medium »

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Process Data Process Data Big Data 52

Medium Data Engineering

AUGUST 18, 2023

Apache Spark is a unified analytics engine for large-scale data processing. It provides high-level APIs in Java, Scala, Python, and R, and… Continue reading on Medium »

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Data Process Engineering Scala Process 52

KDnuggets

JULY 13, 2022

Learn various techniques to reduce data processing time by using multiprocessing, joblib, and tqdm concurrent.

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Edureka

AUGUST 2, 2023

Data processing analysts can be useful in this situation. Let’s take a deep dive into the subject and look at what we’re about to study in this blog: Table of Contents What Is Data Processing Analysis? What Does a Data Processing Analyst Do? What does a Data Processing Analysts do ?

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Data Process Process Data Data Cleanse 52

Cloudera

MARCH 2, 2023

It allows multiple data processing engines, such as Flink, NiFi, Spark, Hive, and Impala to access and analyze data in simple, familiar SQL tables. The CSP engine is powered by Apache Flink, which is the best-in-class processing engine for stateful streaming pipelines. Currently, Iceberg support in CSP is in technical preview mode.

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Uber Engineering

DECEMBER 16, 2021

It is currently used by hundreds of … The post Cadence Multi-Tenant Task Processing appeared first on Uber Engineering Blog. Cadence is a multi-tenant orchestration framework that helps developers at Uber to write fault-tolerant, long-running applications, also known as workflows.

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Precisely

JULY 25, 2023

Organizations that run SAP can use Excel-to-SAP automation to do more with less, while also increasing agility and improving their SAP master data management process automation. We bring automation closer to the business users who own the data and the day-to-day processes that drive the business. That’s bad for the business.

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KDnuggets

OCTOBER 11, 2023

RNN, Transformers, and BERT are popular NLP techniques with tradeoffs in sequence modeling, parallelization, and pre-training for downstream tasks.

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Process 113

Confluent

AUGUST 11, 2022

Whether you’re new to stream processing or evaluating real-time data use cases, learn how stream processing works, its benefits, and the best way to get started.

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Medium Data Engineering

NOVEMBER 7, 2023

Parquet is a columnar storage format that is widely used in big data processing and analytics. It is designed to store and process large… Continue reading on Medium »

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