Christophe Blefari

APRIL 8, 2023

At the same time Maxime Beauchemin wrote a post about Entity-Centric data modeling. This week I discovered SQLMesh , a all-in-one data pipelines tool. Today, Microsoft announces new low-code capabilities for Power Query in order to do "data preparation" from multiple sources. I hope he will fill the gaps. seed round.

Pipeline-centric 130

Pipeline-centric Database-centric Algorithm Data 130

Maxime Beauchemin

JANUARY 20, 2017

Like data scientists, data engineers write code. There’s a multitude of reasons why complex pieces of software are not developed using drag and drop tools: it’s that ultimately code is the best abstraction there is for software. blobs: modern databases have a growing support for blobs through native types and functions.

Data Engineering 130

Data Engineering Data Engineer Engineering ETL Tools 130

Christophe Blefari

DECEMBER 19, 2022

But this article is not about the pricing which can be very subjective depending on the context—what is 1200$ for dev tooling when you pay them more than $150k per year, yes it's US-centric but relevant. But before sending your code to production you still want to validate some stuff, static or not, in the CI/CD pipelines.

Management 130

Management Pipeline-centric Database-centric SQL 130

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. Job Deployment Made Simple.

Data Pipeline 104

Data Pipeline Data Engineering Data Engineer Engineering 104

Cloudera

NOVEMBER 15, 2021

Structured data can be defined as data that can be stored in relational databases, and unstructured data as everything else. Examples of unstructured data, on the other hand, include media (video, images, audio), text files (email, tweets), business productivity files (Microsoft Office documents, Github code repositories, etc.) .

Unstructured Data 90

Unstructured Data Pipeline-centric Database-centric Entertainment 90

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. Data Engineers are engineers responsible for uncovering trends in data sets and building algorithms and data pipelines to make raw data beneficial for the organization.

Data Engineering 98

Data Engineering Data Engineer Engineering Hadoop 98

Netflix Tech

JANUARY 10, 2024

The Netflix video processing pipeline went live with the launch of our streaming service in 2007. By integrating with studio content systems, we enabled the pipeline to leverage rich metadata from the creative side and create more engaging member experiences like interactive storytelling.

Process 95

Process Pipeline-centric Media Metadata 95

U-Next

AUGUST 17, 2022

SQL – A database may be used to build data warehousing, combine it with other technologies, and analyze the data for commercial reasons with the help of strong SQL abilities. Pipeline-centric: Pipeline-centric Data Engineers collaborate with data researchers to maximize the use of the info they gather.

Data Engineering 52

Data Engineering Data Engineer Database-centric Pipeline-centric 52

Knowledge Hut

SEPTEMBER 24, 2024

Ranorex Webtestit: A lightweight IDE optimized for building UI web tests with Selenium or Protractor It generates native Selenium and Protractor code in Java and Typescript respectively. Despite the technical coding knowledge and relevant experience, around 20% of professionals use this automation testing tool.

Java 98

Java Programming Language Pipeline-centric Database-centric 98

RandomTrees

SEPTEMBER 27, 2024

With One Lake serving as a primary multi-cloud repository, Fabric is designed with an open, lake-centric architecture. Mirroring (a data replication capability) : Access and manage any database or warehouse from Fabric without switching database clients; Mirroring will be available for Azure Cosmos DB, Azure SQL DB, Snowflake, and Mongo DB.

Database-centric 52

Database-centric Pipeline-centric IT BI 52

AltexSoft

JUNE 7, 2021

Data engineers who previously worked only with relational database management systems and SQL queries need training to take advantage of Hadoop. They have to know Java to go deep in Hadoop coding and effectively use features available via Java APIs. Spark SQL creates a communication layer between RDDs and relational databases.

Big Data Tools 98

Big Data Tools Hadoop Big Data Database-centric 98

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 realization led us to explore alternatives and develop a custom analytics pipeline integrated with the ThoughtSpot application development process.

Building 52

Building Process Pipeline-centric Database-centric 52

Meltano

JANUARY 25, 2023

He compared the SQL + Jinja approach to the early PHP era… […] “If you take the dataframe-centric approach, you have much more “proper” objects, and programmatic abstractions and semantics around datasets, columns, and transformations.

Pipeline-centric 52

Pipeline-centric Database-centric SQL Data Warehouse 52

Booking.com Engineering

NOVEMBER 27, 2024

All you need to know for a quick start with Domain DrivenDesign Created using DALLE In todays fast-paced development environment, organising code effectively is critical for building scalable, maintainable, and testable applications. At its core, Hexagonal Architecture is a domain-centric approach.

Architecture 46

Architecture Database-centric Pipeline-centric Java 46

Knowledge Hut

FEBRUARY 27, 2023

In large organizations, data engineers concentrate on analytical databases, operate data warehouses that span multiple databases, and are responsible for developing table schemas. Data engineering builds data pipelines for core professionals like data scientists, consumers, and data-centric applications.

Data Engineering 52

Data Engineering Data Engineer Database-centric Pipeline-centric 52

DareData

JULY 29, 2020

One paper suggests that there is a need for a re-orientation of the healthcare industry to be more "patient-centric". Furthermore, clean and accessible data, along with data driven automations, can assist medical professionals in taking this patient-centric approach by freeing them from some time-consuming processes.

Data Pipeline 52

Data Pipeline Healthcare Medical Pipeline-centric 52

Edureka

JULY 3, 2024

It then gathers and relocates information to a centralized hub in the cloud using the Copy Activity within data pipelines. Manage Workflow: ADF manages these processes through time-sliced, scheduled pipelines. ADF connects to various data sources, including on-premises systems, cloud services, and SaaS applications.

Pipeline-centric 52

Pipeline-centric Data Lake Database-centric Data Pipeline 52

Knowledge Hut

NOVEMBER 2, 2023

They work with various Azure services and tools to build scalable, efficient, and reliable data pipelines, data storage solutions, and data processing systems. Automating and optimizing software development lifecycle (SDLC) processes, CI/CD pipeline setup and management.

Data Engineering 52

Data Engineering Data Engineer Engineering Pipeline-centric 52

Grouparoo

OCTOBER 6, 2021

This provided a nice overview of the breadth of topics that are relevant to data engineering including data warehouses/lakes, pipelines, metadata, security, compliance, quality, and working with other teams. 7 Be Intentional About the Batching Model in Your Data Pipelines Different batching models. Test system with A/A test.

Data Engineering 52

Data Engineering Data Engineer Engineering Pipeline-centric 52

ProjectPro

JUNE 1, 2017

Its RecoverX distributed database backup product of latest version v2.0 RecoverX is described as app-centric and can back up applications data whilst being capable of recovering it at various granularity levels to enhance storage efficiency. now provides hadoop support.

Hadoop 52

Hadoop Medical Pipeline-centric Database-centric 52

Ascend.io

SEPTEMBER 14, 2023

Immediate Execution: Python code runs directly through the interpreter, eliminating the need for a separate compilation step. Platform Independence: With an interpreter for a specific platform, Python code can typically run without changes. It's specialized for database querying. Compiled, targeting the JVM.

Data Engineering 52

Data Engineering Data Engineer Python Engineering 52

Knowledge Hut

NOVEMBER 15, 2023

Looking for a position to test my skills in implementing data-centric solutions for complicated business challenges. Example 6: A well-qualified Cloud Engineer is looking for a position responsible for developing and maintaining automated CI/CD and deploying pipelines to support platform automation. An entry-level graduate with B.S.

Finance 98

Finance Certification Database-centric Business Intelligence 98

Knowledge Hut

SEPTEMBER 26, 2023

It offers a wide range of services, including computing, storage, databases, machine learning, and analytics, making it a versatile choice for businesses looking to harness the power of the cloud. This cloud-centric approach ensures scalability, flexibility, and cost-efficiency for your data workloads.

Data Lake 52

Data Lake Database-centric Machine Learning Pipeline-centric 52

Knowledge Hut

JULY 26, 2023

These backend tools cover a wide range of features, such as deployment utilities, frameworks, libraries, and databases. Better Data Management: Database management solutions offered by backend tools enable developers to quickly store, retrieve, and alter data.

Database-centric 52

Database-centric Programming Language Pipeline-centric Utilities 52

Monte Carlo

JULY 28, 2022

These are particularly frustrating, because while they are breaking data pipelines constantly, it’s not their fault. If Fivetran changes the schema of that table, it can easily break the dbt code reading from that table. In fact, most of the time they are unaware of these data quality challenges. Tight coupling.”

Software Engineering 52

Software Engineering Software Engineer Pipeline-centric Database-centric 52

Ascend.io

MAY 31, 2023

In the modern world of data engineering, two concepts often find themselves in a semantic tug-of-war: data pipeline and ETL. Fast forward to the present day, and we now have data pipelines. Data Ingestion Data ingestion is the first step of both ETL and data pipelines. However, they are not just an upgraded version of ETL.

Data Pipeline 52

Data Pipeline ETL Tools Pipeline-centric Data Warehouse 52

Knowledge Hut

FEBRUARY 6, 2024

Around 2007, the software development and IT operations groups expressed concerns about the conventional software development approach, in which developers wrote code separately from operations, who deployed and supported the code. Database Management Most enterprise apps still rely heavily on databases to function.

Pipeline-centric 52

Pipeline-centric Database-centric AWS Manufacturing 52

Knowledge Hut

MARCH 19, 2024

Basically, it contains a code editor, a compiler or interpreter, a debugger, and other essential tools aiding in the smoothing of the development process. Sometimes, it may include a code editor, build automation tools, and a debugger. This is so that harmonious flow is maintained during the life of the software.

Pipeline-centric 52

Pipeline-centric Database-centric Software Engineer Software Engineering 52

DataKitchen

FEBRUARY 21, 2023

As a result, a less senior team member was made responsible for modifying a production pipeline. Focus on code and pattern reuse and DataOps Automation to scale. But the code (or tool configuration) that acts upon data is equally important. And that code creates complexity. A better ETL tool? Pick some other hot tool?

Data Engineering 52

Data Engineering Data Engineer Engineering Pipeline-centric 52

Knowledge Hut

FEBRUARY 6, 2024

Developers can better understand the issues produced by poor code since it enables Ops personnel to see the significance of speedy releases. Developers are still personally liable for any code they write, though. To get code into production as soon as feasible, DevOps teams write it in tiny batches.

Pipeline-centric 52

Pipeline-centric Database-centric Coding Consulting 52

ProjectPro

DECEMBER 16, 2021

Consider an AI/ML system as the combination of "Data" and "Code." The job of a Machine Learning Engineer is to maintain the software architecture, run data pipelines to ensure seamless flow in the production environment. Suppose you understand AI/ML and Data Science as a combination of two words.

Machine Learning 52

Machine Learning Engineering Pipeline-centric Database-centric 52

Knowledge Hut

NOVEMBER 17, 2023

Becoming an Azure Data Engineer in this data-centric landscape is a promising career choice. The main duties of an Azure Data Engineer are planning, developing, deploying, and managing the data pipelines. Master data integration techniques, ETL processes, and data pipeline orchestration using tools like Azure Data Factory.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

Monte Carlo

SEPTEMBER 30, 2024

Our focus, which is making food the world loves, involves making consumer-centric decisions and enabling our customers with all possible healthy options.” Curious how a Fortune500 company manages data quality across a family of distributed brands—each with its own products and pipelines? It’s really fueling our everyday decisions.

Pipeline-centric 52

Pipeline-centric Database-centric Data Data Science 52

Monte Carlo

SEPTEMBER 30, 2024

Our focus, which is making food the world loves, involves making consumer-centric decisions and enabling our customers with all possible healthy options.” Curious how a Fortune100 company manages data quality across a family of distributed brands—each with its own products and pipelines? It’s really fueling our everyday decisions.

Pipeline-centric 52

Pipeline-centric Database-centric Data Data Science 52

Knowledge Hut

DECEMBER 26, 2023

The data from which these insights are extracted can come from various sources, including databases, business transactions, sensors, and more. The training is designed to address the most pressing problems in their fields but is primarily geared towards subject matter experts lacking the coding skills required to apply AI to those challenges.

Data Science 52

Data Science Database-centric Pipeline-centric Data Mining 52

Monte Carlo

JANUARY 23, 2024

Gen AI can whip up serviceable code in moments — making it much faster to build and test data pipelines. Just like at first everyone had to code in a language, then everyone had to know how to incorporate packages from those languages — now we’re moving into, ‘ How do you incorporate AI that will write the code for you?’”

Database-centric 52

Database-centric Pipeline-centric Metadata Unstructured Data 52

Knowledge Hut

JANUARY 30, 2024

Data extraction is the vital process of retrieving raw data from diverse sources, such as databases, Excel spreadsheets, SaaS platforms, or web scraping efforts. Identifying customer segments based on purchase behavior in a sales database. What is data extraction? Patterns, trends, relationships, and knowledge discovered from the data.

ETL Tools 52

ETL Tools Database-centric Data Mining Raw Data 52