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

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

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. Cloudera does this via materialized views that are accessible via API. Operationalizing python for real-time ML pipelines was a hot topic.

Database-centric 77

Database-centric Kafka Pipeline-centric Database 77

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. A machine learning engineer or ML engineer is an information technology professional.

Machine Learning 52

Machine Learning Data Engineering Data Engineer Engineering 52

Knowledge Hut

SEPTEMBER 26, 2023

Microsoft Azure's Azure Synapse, formerly known as Azure SQL Data Warehouse, is a complete analytics offering. This cloud-centric approach ensures scalability, flexibility, and cost-efficiency for your data workloads. SQL: Enables users to query and manipulate data using standard SQL, making it accessible to a broad audience.

Data Lake 52

Data Lake Database-centric Pipeline-centric Machine Learning 52

Data Engineering Weekly

JANUARY 8, 2023

Data Engineering Weekly Is Brought to You by RudderStack RudderStack provides data pipelines that make it easy to collect data from every application, website, and SaaS platform, then activate it in your warehouse and business tools. Pipelines for data in motion can quickly turn into DAG hell. Sign up free to test out the tool today.

Data Engineering 40

Data Engineering Data Engineer Engineering Pipeline-centric 40

Snowflake

AUGUST 21, 2023

The four data mesh principles Fundamentally, data mesh architectures are built on four core principles: Domain-centric ownership and architecture: The teams that work within/most closely with each respective domain are responsible for its functionality and upkeep. Still, implementing this new architecture was not without its challenges.

Pipeline-centric 52

Pipeline-centric Architecture Government Data Architect 52

Snowflake

JUNE 28, 2023

A key highlight at this year’s Summit, is all the innovation enhancing and expanding Snowpark libraries and runtimes developers can use to deploy and process your non-SQL code even easier and more secure. Integrating with APIs and endpoints in a secure way is now possible with external network access, now in private preview.

Pipeline-centric 57

Pipeline-centric Programming Language Python Government 57

Knowledge Hut

FEBRUARY 27, 2023

Data engineering is all about building, designing, and optimizing systems for acquiring, storing, accessing, and analyzing data at scale. Data engineering builds data pipelines for core professionals like data scientists, consumers, and data-centric applications. What is Data Engineering?

Data Engineering 52

Data Engineering Data Engineer Database-centric Pipeline-centric 52

Ascend.io

SEPTEMBER 14, 2023

As the field of data engineering evolves, the need for a versatile, performant, and easily accessible language becomes paramount. 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.

Data Engineering 52

Data Engineering Data Engineer Python Engineering 52

Knowledge Hut

JANUARY 30, 2024

This can involve SQL queries or ETL (Extract, Transform, Load) processes. Customer Interaction Data: In customer-centric industries, extracting data from customer interactions (e.g., API (Application Programming Interface) Access : Many platforms and services offer APIs that allow for systematic data retrieval.

ETL Tools 52

ETL Tools Database-centric Data Mining Data Cleanse 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

Monte Carlo

JANUARY 23, 2024

Gen AI can whip up serviceable code in moments — making it much faster to build and test data pipelines. As the machine became smarter with the next generation of data access, we flattened everything to features and columns. Can I see the pipeline? Those who don’t embrace it will be left behind. What is the lineage?

Pipeline-centric 52

Pipeline-centric Database-centric Metadata Unstructured Data 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

AltexSoft

JUNE 7, 2021

Hadoop hides away the complexities of distributed computing, offering an abstracted API to get direct access to the system’s functionality and its benefits — such as. Every three seconds workers send signals to their master to inform it that everything goes well and data is ready to be accessed. High latency of data access.

Big Data Tools 98

Big Data Tools Hadoop Big Data Database-centric 98

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. DataOps is an open, secure platform that enables anyone granted permission to access data and update the processes and workflows that operate on data. Analyst-ready trusted data sets.

Process 98

Process Data Process Pharmaceutical Data Lake 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.

Healthcare 52

Healthcare Data Pipeline Medical Pipeline-centric 52

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. Furthermore, Rockset supports SQL joins so there is no data denormalization required upstream. SQL has become the lingua franca for expressing queries on databases of all varieties.

Database-centric 52

Database-centric Pipeline-centric SQL Aggregated Data 52

phData: Data Engineering

JULY 18, 2023

Imagine a world where all of your data is organized, easily accessible, and routinely leveraged to drive impactful outcomes. This typically results in long-running ETL pipelines that cause decisions to be made on stale or old data. Expensive and Often Manual Journey Towards Insights: Reporting is extremely manual and error-prone.

Data Warehouse 52

Data Warehouse Pipeline-centric Government Data 52

Monte Carlo

NOVEMBER 10, 2022

That means you have more API integrations and data pipelines that can fail. While many legacy CDPs are starting to offer ways to reach back to the data warehouse, not too many marketers are going to be writing SQL queries to pull operational data nor are too many data professionals diving that deep into the weeds of the marketing stack.

Pipeline-centric 52

Pipeline-centric Data Warehouse Data Data Ingestion 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

Maxime Beauchemin

JANUARY 20, 2017

In retrospect, complex SCD modeling techniques are not intuitive and reduce accessibility. Data is simply too centric to the company’s activity to have limitation around what roles can manage its flow. Required Skills SQL mastery: if english is the language of business, SQL is the language of data.

Data Engineering 130

Data Engineering Data Engineer Engineering ETL Tools 130

Databand.ai

DECEMBER 20, 2022

Michael is certified in text mining and analytics, SQL, Python, Tableau, and more. Eric is certified in Lean Six Sigma and experienced in Python, SQL, and machine learning. On LinkedIn, he posts regularly about Excel, dashboards, data science, data analytics, and SQL.

Data Analytics 52

Data Analytics Google Cloud Data Science Data Mining 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

ProjectPro

DECEMBER 16, 2021

Get FREE Access to Machine Learning Example Codes for Data Cleaning, Data Munging, and Data Visualization Machine Learning Engineer vs. Data Scientist - Roles and Responsibilities There is a bursting myth among many data science aspirants; they think it is all about Machine Learning. Suppose there is a big company/team/project.

Machine Learning 52

Machine Learning Engineering Pipeline-centric Database-centric 52

ProjectPro

OCTOBER 3, 2016

has expanded its analytical database support for Apache Hadoop and Spark integration and also to enhance Apache Kafka management pipeline. Vertical analytic platform could access hadoop data before but with Vertica 8.0 To compete in a field of diverse data tools, Vertica 8.0

Hadoop 52

Hadoop Database-centric Pipeline-centric Big Data 52

Monte Carlo

JULY 15, 2021

As data pipelines become increasingly complex, investing in a data quality solution is becoming an increasingly important priority for modern data teams. And as data pipelines become increasingly complex, reactive approaches to solving data quality issues are not enough. But should you build it—or buy it?

Building 40

Building Pipeline-centric Data Engineering Data Engineer 40

Databand.ai

DECEMBER 29, 2022

She published a book on Snowflake Access Control and recently joined Databand’s MAD Data Podcast to share how Pinterest is migrating to the modern data cloud with Snowflake. Danny is also a regular speaker at global conferences, meetups, and podcasts and a technical author for an O’Reilly/Pearson SQL training course.

BI 52

BI Consulting Data Science Data Governance 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