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.

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Data Process Process Data Data Integration 52

Cloudyard

FEBRUARY 19, 2024

Read Time: 1 Minute, 42 Second In this blog post, we’ll delve into a practical example that showcases the prowess of Snowpark by processing customer invoice data from a CSV file and handling credit card details from a JSON source. ” Target columns are specified to ensure precision in the data migration process.

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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.

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Data Process Process Hadoop Scala 52

Data Engineering Podcast

SEPTEMBER 24, 2021

In this episode Ehsan Totoni explains how he built the Bodo project to bring the speed and processing power of HPC techniques to the Python data ecosystem without requiring any re-work. What are the techniques/technologies that teams might use to optimize or scale out their data processing workflows?

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Data Process Python Process Data Lake 100

Data Engineering Podcast

JUNE 9, 2024

Summary Streaming data processing enables new categories of data products and analytics. Unfortunately, reasoning about stream processing engines is complex and lacks sufficient tooling. Data observability has been gaining adoption for a number of years now, with a large focus on data warehouses.

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Maxime Beauchemin

JANUARY 7, 2018

Batch data processing  — historically known as ETL —  is extremely challenging. In this post, we’ll explore how applying the functional programming paradigm to data engineering can bring a lot of clarity to the process. The greater the claim made using analytics, the greater the scrutiny on the process should be.

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Data Engineer Data Engineering Data Process Process 183

AltexSoft

JULY 18, 2023

These seemingly unrelated terms unite within the sphere of big data, representing a processing engine that is both enduring and powerfully effective — Apache Spark. Before diving into the world of Spark, we suggest you get acquainted with data engineering in general. GraphX is Spark’s component for processing graph data.

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Hevo

APRIL 26, 2024

Most organizations find it challenging to manage data from diverse sources efficiently. However, simply storing the data isn’t enough. To drive your business growth, you need to analyze this data to […]

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AWS Amazon Web Services Data Process Process 52

Data Engineering Podcast

NOVEMBER 27, 2022

Summary The data ecosystem has been growing rapidly, with new communities joining and bringing their preferred programming languages to the mix. This has led to inefficiencies in how data is stored, accessed, and shared across process and system boundaries. What do you have planned for the future of Arrow?

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Knowledge Hut

JANUARY 23, 2024

As technologies advance, competition skyrockets and customer expectations keep increasing, project management has become more complex than ever before. As a result, we, as a project manager, are required to wear multiple hats, and juggle them all with ease! What Is Project Integration Management?

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Snowflake

MARCH 16, 2023

“Ownership was difficult because we had replicas of the data everywhere, which meant we didn’t really know who to speak to about the different data sets. A lack of data standardization from disconnected processes also posed a potential risk for John Lewis. “We Governing it was overly onerous.”

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Data Process Cloud Process IT 52

DoorDash Engineering

NOVEMBER 21, 2022

Managing inventory levels is one of the biggest challenges for any convenience and grocery retailer on DoorDash. We wrote a general Kafka processor and abstract stream processing Cadence workflow to process the inventory updates from the CockroachDB changefeed.

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Data Process Process Kafka Database 57

LinkedIn Engineering

OCTOBER 19, 2023

Authors: Bingfeng Xia and Xinyu Liu Background At LinkedIn, Apache Beam plays a pivotal role in stream processing infrastructures that process over 4 trillion events daily through more than 3,000 pipelines across multiple production data centers.

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Process Lambda Architecture Kafka Machine Learning 119

Data Engineering Podcast

FEBRUARY 20, 2022

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.

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Precisely

OCTOBER 23, 2023

When most people think of master data management, they first think of customers and products. But master data encompasses so much more than data about customers and products. Challenges of Master Data Management A decade ago, master data management (MDM) was a much simpler proposition than it is today.

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Data Management Management Data Data Integration 110

Engineering at Meta

MAY 22, 2024

In recent years, Meta’s data management systems have evolved into a composable architecture that creates interoperability, promotes reusability, and improves engineering efficiency. Data is at the core of every product and service at Meta. Data is at the core of every product and service at Meta.

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Data Management Management Data SQL 91

ProjectPro

JANUARY 25, 2022

Python is one of the most extensively used programming languages for Data Analysis, Machine Learning , and data science tasks. Apache Spark is one of the most popular frameworks for managing and dealing with Big Data. PySpark is used to process real-time data with Kafka and Streaming, and this exhibits low latency.

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Big Data Data Process Process Kafka 52

Netflix Tech

MARCH 10, 2023

By Meenakshi Jindal Overview At Netflix, we built the asset management platform (AMP) as a centralized service to organize, store and discover the digital media assets created during the movie production. Hence we built the data pipeline that can be used to extract the existing assets metadata and process it specifically to each new use case.

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Management Kafka Metadata Media 96

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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Data Engineering Podcast

DECEMBER 31, 2018

Summary As more companies and organizations are working to gain a real-time view of their business, they are increasingly turning to stream processing technologies to fullfill that need. However, the storage requirements for continuous, unbounded streams of data are markedly different than that of batch oriented workloads.

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Lambda Architecture Process Data Process Kafka 100

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. Table of contents Before we move on Introduction from the paper.

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Google Cloud Process Cloud Lambda Architecture 60

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 86

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. Automation.

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Process Finance Government Data Management 64

Cloudera

MARCH 2, 2023

Iceberg is a high-performance open table format for huge analytic data sets. It allows multiple data processing engines, such as Flink, NiFi, Spark, Hive, and Impala to access and analyze data in simple, familiar SQL tables. This enables you to maximize utilization of streaming data at scale. Try it out yourself!

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Process SQL Kafka Database 113

Precisely

JANUARY 31, 2024

SAP does a great job managing all of that complexity, but it takes many resources to maintain master data, update SAP information on a timely basis, and keep everything running smoothly. As this drive toward increased efficiency and agility continues, here are the trends that we see unfolding in 2024 for automating SAP processes.

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Process Data Validation Algorithm Technology 59

Netflix Tech

AUGUST 1, 2022

Data Mesh?—?A A Data Movement and Processing Platform @ Netflix By Bo Lei , Guilherme Pires , James Shao , Kasturi Chatterjee , Sujay Jain , Vlad Sydorenko Background Realtime processing technologies (A.K.A Once deployed, the pipeline performs the actual heavy lifting data processing work.

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Process Transportation Kafka Entertainment 109

Engineering at Meta

FEBRUARY 20, 2024

This new convergence helps Meta and the larger community build data management systems that are unified, more efficient, and composable. Meta’s Data Infrastructure teams have been rethinking how data management systems are designed.

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Data Management Bytes Management Datasets 99

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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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. There are five ITIL procedures in the Service Strategy stage.

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Cloudera

SEPTEMBER 11, 2018

A big part of that architecture deals with the flow and management of data, as well as the insights, actions, and decisions that can be created from data to produce better business outcomes. So today, let’s talk DATA! The open data processing pipeline. The Enterprise Data Hub.

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Data Process Process Building Machine Learning 40

Data Engineering Podcast

NOVEMBER 20, 2021

With the improvements in streaming engines it is now possible to perform all of your data integration in near real time, but it can be challenging to understand the proper processing patterns to make that performant. Can you start by giving an overview of the state of the market for data lakes today?

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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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Architecture Database-centric Process BI 52

Knowledge Hut

JULY 24, 2023

The future of SQL (Structured Query Language) is a scalding subject among professionals in the data-driven world. As data generation continues to skyrocket, the demand for real-time decision-making, data processing, and analysis increases. According to recent studies, the global database market will grow from USD 63.4

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DareData

SEPTEMBER 14, 2024

Use these tips to maximize the success of your data science project Managing large-scale data science and machine learning projects is challenging because they differ significantly from software engineering. This blog post was born after my experience managing large-scale data science projects with DareData.

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Pinterest Engineering

OCTOBER 23, 2024

Yongjun Zhang; Staff Software Engineer | William Tom; Staff Software Engineer | Sandeep Kumar; Software Engineer | Monarch, Pinterest’s Batch Processing Platform, was initially designed to support Pinterest’s ever-growing number of Apache Spark and MapReduce workloads at scale. This minor version upgrade process took approximately one year.

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AWS Hadoop Management Algorithm 52

Confluent

SEPTEMBER 17, 2024

Confluent for VS Code streamlines workflows, accelerates development cycles, and enhances real-time data processing, all within a unified environment.

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Building Management Coding Data 75

Precisely

AUGUST 10, 2023

Data integrity : Leaders also recognize the need to improve the quality and integrity of their most important data. For many organizations, that means paying considerable attention to SAP master data and the processes for creating and managing that information.

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