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. Python and SQL together in the dbt framework is your codebase. We will also cover what it means to manage dbt 1.

Management 130

Management Pipeline-centric Database-centric SQL 130

Meltano

JANUARY 25, 2023

SQL Jinja isn’t enough SQL + Jinja isn’t enough – why we need dataframes by Furcy Pin “In October 2021, Max Beauchemin, creator of Apache Airflow, wrote an excellent article about 12 trends that are currently affecting data engineers.

Pipeline-centric 52

Pipeline-centric Database-centric Data Warehouse SQL 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. Languages Python, SQL, Java, Scala R, C++, Java Script, and Python Tools Kafka, Tableau, Snowflake, etc. This profile is mostly seen in big organizations when data gets shared across several databases.

Machine Learning 52

Machine Learning Data Engineering Data Engineer Engineering 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 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. Knowledge of Python, SQL, and data processing frameworks.

Data Engineering 52

Data Engineering Data Engineer Engineering Pipeline-centric 52

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

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 77

Database-centric Kafka Pipeline-centric Database 77

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

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. Microsoft Azure's Azure Synapse, formerly known as Azure SQL Data Warehouse, is a complete analytics offering. What is Azure Synapse?

Data Lake 52

Data Lake Database-centric Pipeline-centric Machine Learning 52

Ascend.io

SEPTEMBER 14, 2023

Here’s how Python stacks up against SQL, Java, and Scala based on key factors: Feature Python SQL Java Scala Performance Offers good performance which can be enhanced using libraries like NumPy and Cython. It's specialized for database querying. Declarative and straightforward for database tasks.

Data Engineering 52

Data Engineering Data Engineer Python Engineering 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. This can involve SQL queries or ETL (Extract, Transform, Load) processes.

ETL Tools 52

ETL Tools Database-centric Data Mining Data Cleanse 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.

Technology 130

Technology Architecture Google Cloud Metadata 130

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

Monte Carlo

JANUARY 23, 2024

Gen AI can whip up serviceable code in moments — making it much faster to build and test data pipelines. RAG involves integrating a real-time database into the LLM’s response generation process, while fine-tuning trains models on targeted datasets to improve domain-specific responses. Can I see the pipeline? RAG workflow.

Pipeline-centric 52

Pipeline-centric Database-centric Metadata Unstructured Data 52

Confluent

JUNE 18, 2019

Who has never seen an application use RDBMS SQL statements to run searches? As the databases professor at my university used to say, it depends. For this reason and others as well, many projects start using their database for everything, and over time they might move to a search engine like Elasticsearch or Solr.

Architecture 94

Architecture Building Kafka Database-centric 94

DataKitchen

NOVEMBER 4, 2021

DataOps works on top of your existing data, allowing you to use your favorite tools , whether you prefer SQL, Alteryx, Tableau, Looker or whatever else. The DataKitchen Platform serves as a process hub that builds temporary analytic databases for daily and weekly ad hoc analytics work. Figure 3: Example process hub for biologic launch.

Process 98

Process Data Process Pharmaceutical Data Lake 98

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

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.

Healthcare 52

Healthcare Data Pipeline Medical Pipeline-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

Rockset

NOVEMBER 1, 2022

Elasticsearch has become ubiquitous as an index centric datastore for search and rose in tandem with the popularity of the internet and Web2.0. These companies migrated to Rockset in days or weeks, not months or years leveraging the power and simplicity of a cloud-native database.

Database-centric 52

Database-centric Pipeline-centric SQL Aggregated Data 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

DataKitchen

FEBRUARY 21, 2023

As a result, a less senior team member was made responsible for modifying a production pipeline. ” Marcus will not fix his challenges by helping his team write SQL faster. To add fuel to the fire, a few weeks ago, one of the most talented people in the group left. Pick some other hot tool?

Data Engineering 52

Data Engineering Data Engineer Engineering Pipeline-centric 52

Picnic Engineering

DECEMBER 19, 2023

Combining efficient incident handling, establishing resilience by design, and strict adherence to SLOs are pivotal in ensuring our services remain resilient, reliable, stable, and user-centric. Now we use simulation-driven automated testing as a stage of our CI/CD pipeline, totaling over 900 pull requests since the release!

Transportation 52

Transportation Pipeline-centric Database-centric Python 52

AltexSoft

JULY 18, 2023

With its native support for in-memory distributed processing and fault tolerance, Spark empowers users to build complex, multi-stage data pipelines with relative ease and efficiency. Spark SQL brings native support for SQL to Spark and streamlines the process of querying semistructured and structured data. Data analysis.

Big Data 52

Big Data Data Process Process Hadoop 52

Monte Carlo

JANUARY 9, 2024

That’s the whole idea of the microservice: the engineering team can spin up the service, the database, create the API, create the front-end, and deploy it. Now, as more companies become more data-centric and data becomes more front and center, ROI becomes much more clear.” And they do that, more or less, all on their own.

Pipeline-centric 52

Pipeline-centric Database-centric Data Manufacturing 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

phData: Data Engineering

JULY 18, 2023

This typically results in long-running ETL pipelines that cause decisions to be made on stale or old data. Business-Focused Operation Model: Teams can shed countless hours of managing long-running and complex ETL pipelines that do not scale. This noticeably saves time on copying and drastically reduces data storage costs.

Data Warehouse 52

Data Warehouse Pipeline-centric Government Data 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

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 98

Finance Business Intelligence Database-centric Certification 98