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

Data Engineering Weekly

JULY 2, 2023

Editors Note: 🔥 DEW is thrilled to announce a developer-centric Data Eng & AI conference in the tech hub of Bengaluru, India, on October 12th! LinkedIn write about Hoptimator for auto generated Flink pipeline with multiple stages of systems. Can't we use the vector feature in the existing databases?

Data Engineering 52

Data Engineering Data Engineer Engineering Pipeline-centric 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

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 86

Unstructured Data Pipeline-centric Database-centric Entertainment 86

Knowledge Hut

MARCH 19, 2024

Separates coding from the rest of the delivery pipeline: With a distinct dev environment, engineers can focus solely on writing good, functioning code rather than deployment mechanics or ops concerns. Strict separation and access controls maintain data security throughout testing and deployment pipelines.

Pipeline-centric 52

Pipeline-centric Database-centric Software Engineer Software Engineering 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

Ascend.io

SEPTEMBER 14, 2023

It's specialized for database querying. Interpreter / Compiler Interpreted Executed by a database engine, interpreting and executing SQL statements. Declarative and straightforward for database tasks. Its ecosystem revolves around database management and querying. Primarily tailored for database tasks.

Data Engineering 52

Data Engineering Data Engineer Python Engineering 52

François Nguyen

MARCH 22, 2021

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. You are starting to be an operation or technology centric data team.

Architecture 130

Architecture Technology Google Cloud Metadata 130

Databand.ai

JULY 19, 2023

Learn more in our detailed guide to data lineage visualization (coming soon) Integration with Multiple Data Sources Data lineage tools are designed to integrate with a wide range of data sources, including databases, data warehouses, and cloud-based data platforms. One of the unique features of Atlan is its human-centric design.

Pipeline-centric 52

Pipeline-centric Data Governance Metadata Government 52

Knowledge Hut

FEBRUARY 6, 2024

Every step of the DevOps process is automated, from infrastructure provisioning and configuration through network operations, databases, deployment, and monitoring. To deliver software more quickly and frequently, speed up your development pipeline. It consists of two pipelines: a CI pipeline and a continuous testing pipeline.

Pipeline-centric 52

Pipeline-centric Database-centric Coding Consulting 52

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. . The DataOps Advantage

Process 98

Process Data Process Pharmaceutical Data Lake 98

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 Data Cleanse 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

DataKitchen

FEBRUARY 21, 2023

As a result, a less senior team member was made responsible for modifying a production pipeline. When you architect for flexibility, quality, rapid deployment, and real-time data monitoring (in addition to your customer requirements), you move towards a DataOps-centric data engineering practice. A better ETL tool?

Data Engineering 52

Data Engineering Data Engineer Engineering Pipeline-centric 52

Knowledge Hut

NOVEMBER 27, 2023

GCP offers various services like computational power, storage, databases, machine learning, networking, and security. Working in a container-centric environment demands a deep understanding of Docker and its associated tools and practices. CD takes it further by automating the deployment of tested code to production environments.

Google Cloud 52

Google Cloud Cloud Cloud Computing Pipeline-centric 52

Knowledge Hut

JULY 3, 2023

It offers practical experience with streaming data, efficient data pipelines, and real-time analytics solutions. Appreciated Customer Experience: The industry focuses on customer-centric approaches to enhance the overall customer experience. It provides real-time data pipelines and integration with various data sources.

Data Ingestion 52

Data Ingestion Pipeline-centric Google Cloud Media 52

Maxime Beauchemin

JANUARY 20, 2017

Storage and compute is cheaper than ever, and with the advent of distributed databases that scale out linearly, the scarcer resource is engineering time. The use of natural, human readable keys and dimension attributes in fact tables is becoming more common, reducing the need for costly joins that can be heavy on distributed databases.

Data Engineering 130

Data Engineering Data Engineer Engineering ETL Tools 130

Knowledge Hut

JANUARY 2, 2024

Features Eggplant can conduct real, user-centric performance testing and is easy to use. Features It offers native Pass/Fail behavior for simple automation and CI pipeline integration. To run a Volume Test, a significant amount of data is entered into the database. JavaScript. This test may be gradual or constant.

Pipeline-centric 52

Pipeline-centric Java Database-centric Utilities 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 Data Mining 52

ProjectPro

DECEMBER 16, 2021

The job of a Machine Learning Engineer is to maintain the software architecture, run data pipelines to ensure seamless flow in the production environment. They are also expected to collaborate with appropriate business stakeholders to identify and analyze the requirements, scope, and hint resolution.

Machine Learning 52

Machine Learning Engineering Pipeline-centric Database-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

Knowledge Hut

JUNE 26, 2023

Application Management Application management expertise is crucial in an Azure-centric ecosystem. Experience with Azure Kubernetes Service (AKS), Azure Container Instances (ACI), & Azure DevOps pipelines can help achieve this skill. Azure Solution Developer : Solution developers create & deploy applications on Azure.

Cloud Computing 52

Cloud Computing Certification Pipeline-centric Database-centric 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.

Finance 79

Finance Business Intelligence Database-centric Certification 79

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 76

Data Engineering Data Engineer Engineering Pipeline-centric 76

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

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 Pipeline-centric Database-centric 52

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

FEBRUARY 6, 2024

Database Management Most enterprise apps still rely heavily on databases to function. Every firm has a database involved at some level. Because it might be difficult to deal with schema changes or access real-world test data, databases continue to be one of the major obstacles for testing and deploying software.

Pipeline-centric 52

Pipeline-centric Database-centric AWS Manufacturing 52

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 Pipeline-centric Machine Learning 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.

Database-centric 75

Database-centric Kafka Pipeline-centric Database 75

Knowledge Hut

APRIL 25, 2024

Kubernetes is a container-centric management software that allows the creation and deployment of containerized applications with ease. Here is a sample YAML file used to create a pod with the postgres database. To read more about Kubernetes and deployment, you can refer to the Best Kubernetes Course Online.

Database-centric 52

Database-centric Metadata MongoDB Pipeline-centric 52

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

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 91

Process Pipeline-centric Media Metadata 91

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 Data Warehouse SQL 52

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

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

Confluent

JUNE 18, 2019

As the databases professor at my university used to say, it depends. Using SQL to run your search might be enough for your use case, but as your project requirements grow and more advanced features are needed—for example, enabling synonyms, multilingual search, or even machine learning—your relational database might not be enough.

Architecture 96

Architecture Building Kafka Database-centric 96