Data Engineering Podcast

APRIL 7, 2019

Summary How much time do you spend maintaining your data pipeline? Managing and auditing access to your servers and databases is a problem that grows in difficulty alongside the growth of your teams. How does the data-centric approach of DataCoral differ from the way that other platforms think about processing information?

Data Pipeline 100

Data Pipeline Pipeline-centric Database-centric AWS 100

Confluent

SEPTEMBER 25, 2019

Of course, this is not to imply that companies will become only software (there are still plenty of people in even the most software-centric companies), just that the full scope of the business is captured in an integrated software defined process. Apache Kafka ® and its uses.

Database-centric 56

Database-centric Kafka Pipeline-centric Retail 56

Data Engineering Weekly

JUNE 2, 2024

Learn More → AI Verify Foundation: Model AI Governance Framework for Generative AI Several countries are working on building governance rules for Gen AI. The author highlights the structured approach to building data infrastructure, data management, and metrics. TIL that the queryable state is deprecated, which surprises me too.

Data Engineering 103

Data Engineering Data Engineer Engineering Pipeline-centric 103

Data Engineering Podcast

AUGUST 13, 2022

Summary Data engineers have typically left the process of data labeling to data scientists or other roles because of its nature as a manual and process heavy undertaking, focusing instead on building automation and repeatable systems. And don’t forget to thank them for their continued support of this show!

Machine Learning 100

Machine Learning Pipeline-centric Database-centric MongoDB 100

The Pragmatic Engineer

JANUARY 5, 2023

The first response has been frustration because of the chaos a breach like this causes: At a scaleup I talked with, infrastructure teams shut down all pipelines in order to replace secrets. Our customers are some of the most innovative, engineering-centric businesses on the planet, and helping them do great work will continue to be our focus.”

Pipeline-centric 130

Pipeline-centric Database-centric Coding Accessible 130

François Nguyen

MARCH 22, 2021

How do we build data products ? To illustrate that, let’s take Cloud SQL from the Google Cloud Platform that is a “Fully managed relational database service for MySQL, PostgreSQL, and SQL Server” It looks like this when you want to create an instance. In this stage, you will never think about the configuration.

Technology 130

Technology Architecture Google Cloud Metadata 130

Maxime Beauchemin

JANUARY 20, 2017

Unlike data scientists — and inspired by our more mature parent, software engineering  — data engineers build tools, infrastructure, frameworks, and services. Storage and compute is cheaper than ever, and with the advent of distributed databases that scale out linearly, the scarcer resource is engineering time.

Data Engineering 130

Data Engineering Data Engineer Engineering ETL Tools 130

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. At ThoughtSpot , while Gradle has been effective, the growing complexity of our projects demanded a more sophisticated approach to understanding and optimizing our builds.

Building 52

Building Process Pipeline-centric Database-centric 52

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

Dataquest

JANUARY 25, 2017

Most companies store their data in variety of formats across databases and text files. This is where data engineers come in — they build pipelines that transform that data into formats that data scientists can use. You’ll have a few different data stores: The database that backs your main app. Ride database.

Data Engineering 52

Data Engineering Data Engineer Pipeline-centric Database-centric 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. Job Deployment Made Simple.

Data Pipeline 104

Data Pipeline Data Engineering Data Engineer Engineering 104

Data Engineering Weekly

AUGUST 25, 2024

Take Astro (the fully managed Airflow solution) for a test drive today and unlock a suite of features designed to simplify, optimize, and scale your data pipelines. The author writes an overview of the performance implication of disaggregated systems compared to traditional monolithic databases.

Data Engineering 70

Data Engineering Data Engineer Engineering Database-centric 70

Cloudera

NOVEMBER 15, 2021

Structured data can be defined as data that can be stored in relational databases, and unstructured data as everything else. Related to the neglect of data quality, it has been observed that much of the efforts in AI have been model-centric, that is, mostly devoted to developing and improving models , given fixed data sets.

Unstructured Data 90

Unstructured Data Pipeline-centric Database-centric Entertainment 90

DataKitchen

NOVEMBER 4, 2021

The DataKitchen Platform serves as a process hub that builds temporary analytic databases for daily and weekly ad hoc analytics work. These limited-term databases can be generated as needed from automated recipes (orchestrated pipelines and qualification tests) stored and managed within the process hub. .

Process 98

Process Data Process Pharmaceutical Data Lake 98

Data Engineering Weekly

MARCH 3, 2024

Here is the agenda, 1) Data Application Lifecycle Management - Harish Kumar( Paypal) Hear from the team in PayPal on how they build the data product lifecycle management (DPLM) systems. 4) Building Data Products and why should you? Part 1: Why did we need to build our own SIEM?

Data Engineering 67

Data Engineering Data Engineer Engineering Pipeline-centric 67

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

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

Monte Carlo

MAY 30, 2024

Retrieval augmented generation (RAG) is an architecture framework introduced by Meta in 2020 that connects your large language model (LLM) to a curated, dynamic database. Data retrieval: Based on the query, the RAG system searches the database to find relevant data. A RAG flow in Databricks can be visualized like this.

Database-centric 52

Database-centric Pipeline-centric Datasets Data Pipeline 52

Cloudera

OCTOBER 17, 2023

Use cases such as fraud monitoring, real-time supply chain insight, IoT-enabled fleet operations, real-time customer intent, and modernizing analytics pipelines are driving development activity. Their core value proposition is that streaming databases are inherently faster than Flink due to in-memory processing and state management.

Kafka 79

Kafka Database-centric Pipeline-centric Database 79

Ascend.io

JUNE 8, 2023

Treating data as a product is more than a concept; it’s a paradigm shift that can significantly elevate the value that business intelligence and data-centric decision-making have on the business. Data pipelines Data integrity Data lineage Data stewardship Data catalog Data product costing Let’s review each one in detail.

Pipeline-centric 52

Pipeline-centric Database-centric Data Ingestion Data Pipeline 52

Knowledge Hut

SEPTEMBER 24, 2024

Ranorex Ranorex is a set of paid and free tools to build sophisticated tests for desktop, web, and mobile applications. 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.

Java 98

Java Programming Language Pipeline-centric Database-centric 98

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. So, learn Data Science online , and build a strong career with a high pay scale. What is Data Engineering?

Data Engineering 52

Data Engineering Data Engineer Database-centric Pipeline-centric 52

Knowledge Hut

JUNE 20, 2023

In addition, they are responsible for developing pipelines that turn raw data into formats that data consumers can use easily. Pipeline-Centric Engineer: These data engineers prefer to serve in distributed systems and more challenging projects of data science with a midsize data analytics team.

Machine Learning 52

Machine Learning Data Engineering Data Engineer Engineering 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

Data Engineering Weekly

JULY 2, 2023

Data Engineering Weekly Is Brought to You by RudderStack RudderStack Profiles takes the SaaS guesswork, and SQL grunt work out of building complete customer profiles, so you can quickly ship actionable, enriched data to every downstream team. LinkedIn write about Hoptimator for auto generated Flink pipeline with multiple stages of systems.

Data Engineering 52

Data Engineering Data Engineer Engineering Database-centric 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. Apache HBase , a noSQL database on top of HDFS, is designed to store huge tables, with millions of columns and billions of rows. Complex programming environment. Data storage options.

Big Data Tools 98

Big Data Tools Hadoop Big Data Database-centric 98

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

Ripple Engineering

JANUARY 29, 2024

For Ripple's product capabilities, the Payments team of Ripple, for example, ingests millions of transactional records into databases and performs analytics to generate invoices, reports, and other related payment operations.    A lack of a centralized system makes building a single source of high-quality data difficult.

Database-centric 52

Database-centric Pipeline-centric NoSQL High Quality Data 52

ProjectPro

OCTOBER 3, 2016

News on Hadoop-September 2016 HPE adapts Vertica analytical database to world with Hadoop, Spark.TechTarget.com,September 1, 2016. has expanded its analytical database support for Apache Hadoop and Spark integration and also to enhance Apache Kafka management pipeline. To compete in a field of diverse data tools, Vertica 8.0

Hadoop 52

Hadoop Database-centric Pipeline-centric Big Data 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

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

For those aspiring to build a career within the Azure ecosystem, navigating the choices between Azure Data Engineers and Azure DevOps Engineers can be quite challenging. They work with various Azure services and tools to build scalable, efficient, and reliable data pipelines, data storage solutions, and data processing systems.

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

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

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. Building, installing, and managing data solutions on the Azure platform will be their responsibility.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

DataKitchen

FEBRUARY 21, 2023

As a result, a less senior team member was made responsible for modifying a production pipeline. Build analytic data systems that have modular, reusable components. Build components that are idempotent on data. To add fuel to the fire, a few weeks ago, one of the most talented people in the group left. A better ETL tool?

Data Engineering 52

Data Engineering Data Engineer Engineering Pipeline-centric 52