DataKitchen

FEBRUARY 21, 2023

Overview of Gartner’s data engineering enhancements article To set the stage for Gartner’s recommendations, let’s give an example of a new Data Engineering Manager, Marcus, who faces a whole host of challenges to succeed in his new role: Marcus has a problem. A better ETL tool? Pick some other hot tool?

Data Engineering 52

Data Engineering Data Engineer Engineering Pipeline-centric 52

Rockset

JANUARY 3, 2023

This blog compiles real-time data predictions from industry leaders so you know what’s coming in 2023. Companies using batch ETL concepts for their data architecture are at risk of losing customers to competitors who are offering a better user experience through a modern data stack that delivers streaming, real-time data.

Data Warehouse 52

Data Warehouse Education Database Data 52

ProjectPro

DECEMBER 7, 2021

This blog will give you an in-depth knowledge of what is a data pipeline and also explore other aspects such as data pipeline architecture, data pipeline tools, use cases, and so much more. The Importance of a Data Pipeline What is an ETL Data Pipeline? ETL is the acronym for Extract, Transform, and Load.

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52

DataKitchen

OCTOBER 5, 2021

In this blog, we’ll explore the role of the DataOps Engineer in driving the data organization to higher levels of productivity. A more technical discussion will follow in the next edition of this blog series. Nuggets could be ETL code that drives an Informatica job, a SQL transformation, some Python or perhaps XML.

Engineering 62

Engineering Raw Data SQL Data Engineering 62

DataKitchen

OCTOBER 2, 2023

Data Teams and Their Types of Data Journeys In the rapidly evolving landscape of data management and analytics, data teams face various challenges ranging from data ingestion to end-to-end observability. This lack of control is exacerbated by many people and/or automated data ingestion processes introducing changes to the data.

Data Ingestion 40

Data Ingestion Data Government Datasets 40

DataKitchen

SEPTEMBER 20, 2021

Data organizations don’t always have the budget or schedule required for DataOps when conceived as a top-to-bottom, enterprise-wide transformational change. As productivity improves, you can widen the DataOps circle and carefully invest in strategic process change that serves as the foundation for further improvements in team velocity.

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Data Pipeline Data Cleanse Process Architecture 98

Knowledge Hut

MARCH 22, 2024

In this blog, I will discuss all sorts of MongoDB careers , different job roles, key responsibilities, salaries, and top companies where you can apply for these positions easily. During the era of big data and real-time analytics, businesses face challenges, and the need for skilled MongoDB professionals has grown to an order of magnitude.

MongoDB 52

MongoDB Amazon Web Services Computer Science Education 52

Monte Carlo

AUGUST 31, 2023

This problem, often referred to as “data downtime,” happens to even the most innovative and data-first companies, and, in our opinion, it’s one of the biggest challenges facing businesses in the 21st century. Like spacecraft, analytic pipelines can be extremely vulnerable to the most innocent changes at any stage of the process.

Data Lake 52

Data Lake Data Pipeline Unstructured Data Data Warehouse 52

Cloudera

DECEMBER 10, 2020

Recently, cloud-native data warehouses changed the data warehousing and business intelligence landscape. Appealing directly to end-users in the Lines of Business (LOBs), these solutions can dramatically shorten time to value, lower administrative burdens, and promise continuous agility in response to changing business demands.

Data Warehouse 98

Data Warehouse Cloud Storage Metadata Data 98

Data Engineering Weekly

DECEMBER 24, 2023

Your rollout can make/break the core experience of your product without showing much visual change. link] Sponsored: RudderStack launches Trino Reverse ETL source The integration supports warehouse-based diffing, making it the most performant Reverse ETL solution for Trino. Read the announcement for more details.

Data Engineering 62

Data Engineering Data Engineer Engineering Deep Learning 62

Snowflake

FEBRUARY 21, 2023

The customer-facing analytics on 99% of SaaS and consumer products out there suck. We want to change that. There’s no need for ETLs, pre-aggregations that sacrifice flexibility, or additional infrastructure that requires data engineering resources. APIs do just that. Explain what your company does in one sentence.

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AWS Raw Data Building Architecture 121

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. In this blog post, we talk about the landscape and the challenges in workflows at Netflix. IPS enables users to continue to use the data processing patterns with minimal changes.

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Process Data Pipeline Datasets SQL 84

LinkedIn Engineering

JANUARY 19, 2024

Co- Authors: Aditya Hedge and Saumi Bandyopadhyay 2022 was a year driven by change for the Talent Acquisition industry, with nearly 50k company mergers and acquisitions completed worldwide. These changes – whether at an organization level or a user level – result in ownership transfers of hiring entities.

Recruitment 88

Recruitment Data Process Process Kafka 88

Knowledge Hut

NOVEMBER 17, 2023

AWS has changed the life of data scientists by making all the data processing, gathering, and retrieving easy. AWS Glue AWS Glue is an ETL service that manages the data. It is serverless with a Data Catalog, a scheduler, and an ETL engine for producing Scala or Python code. But what if that data is lost and cannot be recovered?

AWS 52

AWS Data Science Certification Amazon Web Services 52

phData: Data Engineering

MARCH 8, 2023

In this blog, we will explore what Fivetran is and how it works, as well as dive into its pricing structure to help you make an informed decision on whether or not Fivetran is the right platform for your data integration needs. How Does Fivetran’s Costs Change Over Time?

IT 96

IT Data Warehouse Data Ingestion Data Integration 96

dbt Developer Hub

AUGUST 30, 2022

As Tristan says in his latest blog, that’s how this industry moves forward. In his latest blog , Benoit Perigaud (dbt Labs Senior Analytics Engineer) shares how to use the pre-commit-dbt package to do just that. REGISTER NOW What's new ​ dbt Core v1.3 beta: Do you use Python for analytics? The first beta prerelease of dbt Core v1.3—including

Programming 52

Programming Consulting Python BI 52

Netflix Tech

DECEMBER 21, 2020

There are several benefits of such optimizations like saving on storage, faster query time, cheaper downstream processing, and an increase in developer productivity by removing additional ETLs written only for query performance improvement. Orient: Gather tuning parameters for a particular table that changed.

Data Warehouse 81

Data Warehouse Metadata Algorithm Data 81

Airbnb Tech

AUGUST 4, 2021

In this blog post we will outline the challenges we faced while adding a massive number of data checks (i.e. Multiple approaches to add data checks In Airbnb’s analytical data ecosystem, we use Apache Airflow to schedule ETL jobs or data pipelines. ETL logic and data checks became tightly coupled and not reusable.

Data Pipeline 52

Data Pipeline Data Engineering Data Engineer Data 52

Maxime Beauchemin

AUGUST 28, 2017

Understanding and exposing the adversity that the role is facing is a first step towards finding solutions. Boredom & context switching Watching paint dry is exciting in comparison to writing and maintaining Extract Transform and Load (ETL) logic.

Data Engineering 174

Data Engineering Data Engineer Engineering Software Engineer 174

Monte Carlo

JULY 28, 2022

But perhaps one of the most common reasons for data quality challenges are software feature updates and other changes made upstream by software engineers. As Convoy Head of Product, Data Platform, Chad Sanderson wrote in our blog , “The data in production tables are not intended for analytics or machine learning. Tight coupling.”

Pipeline-centric 52

Pipeline-centric Software Engineer Software Engineering Database-centric 52

Confluent

MAY 15, 2019

The customer had traditional ETL tools on the table; we were in fact already providing them services around Oracle Data Integrator (ODI). They asked us to evaluate whether we thought an ETL tool was the appropriate choice to solve these two requirements. All disparate patterns are abstracted to either relational tables or REST APIs.

Kafka 91

Kafka ETL Tools Cloud Data Integration 91

Netflix Tech

MARCH 25, 2019

Now, imagine yourself in the role of a software engineer responsible for a micro-service which publishes data consumed by few critical customer facing services (e.g. You are about to make structural changes to the data and want to know who and what downstream to your service will be impacted.

Building 87

Building Metadata Transportation Data Ingestion 87

Edureka

JUNE 1, 2023

In this blog, we’ll explore the world of Cloud Data Analytics and a real-life application of AWS Data Analytics. Make sure to change the bucket name and the IAM Role ARN. Magellan Rx Reduces ETL Time by Over 70% Using Amazon Redshift Magellan Rx Management (Magellan Rx), a division of Magellan Health Inc. ,

AWS 52

AWS Data Analytics Cloud Amazon Web Services 52

Monte Carlo

NOVEMBER 21, 2022

Today, the classic data pipeline has an ETL layer that’s taking data from different systems, and putting it into a cloud data warehouse. That’s a pretty fundamental change and it implies they’re going to be 250 million people looking for a next generation data analysis tool that does something like Excel, but in a superior way.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

Knowledge Hut

JANUARY 24, 2024

In a world where data is important, deciding between power bi vs tableau can change your path in analyzing things. If you are an expert in working with data or a beginner excited to use visualization, this blog will help you understand the differences between power bi and tableau. Tableau vs Power BI: Key Differences What is Tableau?

BI 98

BI Business Intelligence Non-relational Database Data Analysis 98

Knowledge Hut

DECEMBER 26, 2023

Data Engineering is typically a software engineering role that focuses deeply on data – namely, data workflows, data pipelines, and the ETL (Extract, Transform, Load) process. You can cultivate curiosity by relevant books, articles, and blogs about trends in data science. As a Data Engineer, you are expected to ask many questions.

Data Engineering 98

Data Engineering Data Engineer Engineering Pipeline-centric 98

Workfall

DECEMBER 27, 2022

In this blog, we will demonstrate how to execute Linux commands in Python. On success, we will change the server list file to fill in valid and invalid servers. Now, let’s change the code passing an invalid domain. Make the changes as follows in the function code adding a loop to iterate over all servers in the file.

Python 52

Python Coding Programming Language Cloud 52

ProjectPro

AUGUST 24, 2021

And, out of these professions, this blog will discuss the data engineering job role. So, work on projects that guide you on how to build end-to-end ETL/ELT data pipelines. Live Twitter Sentiment Analysis Website Monitoring Bitcoin Mining How to deal with slowly changing dimensions?

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

Knowledge Hut

APRIL 25, 2023

Challenges in Data Ingestion Data Ingestion processes entail a variety of challenges as below: Coding and maintaining the pipeline is a big challenge which is faced by many data engineers. Most industries face a problem in storage space. In this blog, we discussed how it benefits business in the long run.

Data Ingestion 52

Data Ingestion Lambda Architecture Raw Data Kafka 52

AltexSoft

OCTOBER 21, 2022

In this article, we’ll explain why businesses choose Kafka and what problems they face when using it. Keep in mind that those vendors mitigate most challenges businesses commonly face when implementing the “raw” Kafka from the official website. Kafka vs ETL. It’s quite common to see Kafka as a faster ETL. What is Kafka?

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Kafka Hadoop ETL Tools Big Data 93

Monte Carlo

JUNE 7, 2022

An external data product is any data asset that either faces or impacts a customer. That is a big change and decision point when serving external customers. In architecting Monte Carlo, we didn’t just have to consider our mission-critical production workloads, but how our internal teams accessed this external-facing data as well.

Building 52

Building Raw Data Architecture Machine Learning 52

Cloudera

SEPTEMBER 17, 2020

For modern data engineers using Apache Spark, DE offers an all-inclusive toolset that enables data pipeline orchestration, automation, advanced monitoring, visual troubleshooting, and a comprehensive management toolset for streamlining ETL processes and making complex data actionable across your analytic teams. Managed, Serverless Spark.

Data Pipeline 103

Data Pipeline Data Engineering Data Engineer Engineering 103

AltexSoft

NOVEMBER 7, 2022

The approach finds its application, for example, in ETL and ELT pipelines with many data sources or destinations. All these make Airflow capable of ensuring high performance and scaling to meet changing needs of your business. If you are interested in web development, take a look at our blog post on. No versioning of workflows.

PostgreSQL 52

PostgreSQL Metadata Python MySQL 52

phData: Data Engineering

DECEMBER 16, 2021

In blog 2 , we’ll explore: Who are the users of a data catalog? In blog 2 , we’ll explore: Who are the users of a data catalog? In blog 3 , we’ll look into: What data catalog options are available? Materialized views and ETL jobs can give you insight into data lineage. What does certain data mean?

Metadata 52

Metadata Datasets Data Accessible 52

DareData

FEBRUARY 1, 2021

Be sure to read to the end for instructions on how to execute an analysis of expected gains from infrastructure changes required for MLOps in your organisation. You know that infrastructure change can be costly in terms of time, money, man-hours, opportunity cost, time to market delays, etc. Caveat: this is a work in progress.

Programming Language 52

Programming Language Project Engineering Consulting 52

Netflix Tech

OCTOBER 18, 2022

These include ETL pipelines, ML model training workflows, batch jobs, etc. In this blog post, we introduce and share learnings on Maestro, a workflow orchestrator that can schedule and manage workflows at a massive scale. It addresses the key challenges we face with Meson and achieves operational excellence.

Java 81

Java Data Machine Learning Systems 81

Knowledge Hut

JULY 6, 2023

This blog walks you through the top Azure Monitoring and Development that every SRE and DevOps engineer must know. For instance, an Azure Virtual Machine suddenly starts malfunctioning due to high disk space, and the end-users face difficulties accessing the service linked with the VM. Cons Changing the table schema corrupts the table.

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Amazon Web Services Data Lake Java SQL 52