Knowledge Hut

FEBRUARY 27, 2023

Data engineering builds data pipelines for core professionals like data scientists, consumers, and data-centric applications. Data engineering is also about creating algorithms to access raw data, considering the company's or client's goals. A data engineer can be a generalist, pipeline-centric, or database-centric.

Data Engineering 52

Data Engineering Data Engineer Database-centric Pipeline-centric 52

Data Engineering Weekly

APRIL 2, 2023

Meta: Presto - A Decade of SQL Analytics at Meta Presto and Kafka are the two systems that greatly impacted data infrastructure in the last decade. Twitter: Twitter's Recommendation Algorithm Twitter open-source its recommendation engine code. Go to rtasummit.com and register with DEW30 for 30% off.

Data Engineering 52

Data Engineering Data Engineer Engineering Pipeline-centric 52

DareData

JULY 29, 2020

We have heard news of machine learning systems outperforming seasoned physicians on diagnosis accuracy, chatbots that present recommendations depending on your symptoms , or algorithms that can identify body parts from transversal image slices , just to name a few. What makes a good Data Pipeline?

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. Unlike HBase, it’s a self-sufficient technology and has its own SQL-like language — Cassandra Query Language. Complex programming environment. Cassandra excels at streaming data analysis.

Big Data Tools 98

Big Data Tools Hadoop Big Data Database-centric 98

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

Databand.ai

DECEMBER 20, 2022

Michael is certified in text mining and analytics, SQL, Python, Tableau, and more. In his role at LendingTree, he works closely with the data engineering team, synthesizes findings from data to provide actionable recommendations, and works with tree-based algorithms.

Data Analytics 52

Data Analytics Google Cloud Data Science 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. An essential skill for both the job roles is familiarity with various machine learning and deep learning algorithms.

Machine Learning 52

Machine Learning Engineering Pipeline-centric Database-centric 52

Maxime Beauchemin

JANUARY 20, 2017

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. While generations of technologies age and fade, SQL is still standing strong as the lingua franca of data.

Data Engineering 130

Data Engineering Data Engineer Engineering ETL Tools 130

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

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? They chose to buy instead.

Building 40

Building Pipeline-centric Data Engineering Data Engineer 40

Databand.ai

DECEMBER 29, 2022

From time spent at Delta Airlines, Initiate Systems, and IBM, Priya has developed algorithms required to run a $200M+ Master Data Management business, led complete business transformations, and managed product functions across banking, insurance, retail, government, and healthcare.

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