Netflix Tech

NOVEMBER 14, 2023

In this context, managing the data, especially when it arrives late, can present a substantial challenge! In this three-part blog post series, we introduce you to Psyberg , our incremental data processing framework designed to tackle such challenges! Let’s dive in! To solve these problems, we came up with Psyberg!

Data Engineering 105

Data Engineering Data Engineer Engineering Metadata 105

Knowledge Hut

MARCH 28, 2024

They work together with stakeholders to get business requirements and develop scalable and efficient data architectures. Role Level Advanced Responsibilities Design and architect data solutions on Azure, considering factors like scalability, reliability, security, and performance.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

AltexSoft

FEBRUARY 11, 2023

This specialist works closely with people on both business and IT sides of a company to understand the current needs of the stakeholders and help them unlock the full potential of data. To get a better understanding of a data architect’s role, let’s clear up what data architecture is.

Data Architect 87

Data Architect Certification Generalist Big Data 87

The Modern Data Company

APRIL 15, 2024

By adopting this product mindset, we make the data process less mysterious and better align it with strategic business goals. It encourages frequent releases based on real-world feedback, transforming data from a static resource into a dynamic asset that drives business growth.

Building 52

Building Raw Data Food Data 52

Knowledge Hut

DECEMBER 28, 2023

Hadoop can store data and run applications on cost-effective hardware clusters. Its data architecture is flexible, relevant, and schema-free. To learn more about this topic, explore our Big Data and Hadoop course. Diverse Data Processing: Hadoop supports various data types and complex analysis challenges.

Hadoop 52

Hadoop Project Datasets Big Data 52

Cloudera

MAY 8, 2023

Out of the box Cloudera Data platform (CDP) performs superbly but over time, if data architecture, data engineering, and DevOps best practices are not maintained, you can get stuck maintaining the wild, wild west. In this six-part series, we’re focused on improving the health of your environment.

Professional Services 76

Professional Services Data Architecture Data Engineering Data Engineer 76

Databand.ai

JULY 19, 2023

This capability is useful for businesses, as it provides a clear and comprehensive view of their data’s history and transformations. Data lineage tools are not a new concept. In this article: Why Are Data Lineage Tools Important? Kylo Kylo is an open-source data management platform that offers data lineage capabilities.

Pipeline-centric 52

Pipeline-centric Data Governance Metadata Government 52

Knowledge Hut

MARCH 20, 2024

The job description for Azure data engineer that I have elucidated below focuses more on foundational tasks while providing opportunities for learning and growth within the field: Data ingestion: This role involves assisting in the process of collecting and importing data from various sources into Azure storage solutions.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Governance 52

Knowledge Hut

MARCH 15, 2024

The job description for Azure data engineer that I have elucidated below focuses more on foundational tasks while providing opportunities for learning and growth within the field: Data ingestion: This role involves assisting in the process of collecting and importing data from various sources into Azure storage solutions.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Governance 52

Ascend.io

APRIL 19, 2023

The “modern data stack” has become increasingly prominent in recent years, promising a streamlined approach to data processing. Intelligent pipelines : Reducing dependencies and enabling more efficient data processing, intelligent pipelines allow teams to focus on what truly matters: creating impactful data products.

Metadata 52

Metadata Business Analyst Hadoop Software Engineer 52

Cloudera

JANUARY 5, 2023

With the right tools in place, distilling actionable insights from data to achieve business objectives or unlock new revenue streams is easily achievable for organizations of all sizes across industries, especially with the availability of self-serve functionalities that do not require specialized ops or cloud expertise.

Banking 52

Banking Machine Learning Insurance Data Architecture 52

Precisely

MARCH 14, 2023

We optimize these products for use cases and architectures that will remain business-critical for years to come. With this module, you’ll be able to: Leverage capabilities from across our data portfolio – meaning access to solutions you already know and rely on in a SaaS-based design infrastructure. Bigger, better results.

Data Integration 52

Data Integration High Quality Data BI Data 52

Knowledge Hut

NOVEMBER 17, 2023

Understanding data modeling concepts like entity-relationship diagrams, data normalization, and data integrity is a requirement for an Azure Data Engineer. You ought to be able to create a data model that is performance- and scalability-optimized. The certification cost is $165 USD.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

Cloudera

JUNE 18, 2022

In recent years, the term “data lakehouse” was coined to describe this architectural pattern of tabular analytics over data in the data lake. In a rush to own this term, many vendors have lost sight of the fact that the openness of a data architecture is what guarantees its durability and longevity.

Data Lake 92

Data Lake Data Warehouse BI SQL 92

Ascend.io

NOVEMBER 21, 2023

The emergence of cloud data warehouses, offering scalable and cost-effective data storage and processing capabilities, initiated a pivotal shift in data management methodologies. Developer Resources: While custom-built ETL processes are an option, they can be resource-intensive and costly.

Raw Data 52

Raw Data Data Warehouse Data Cleanse Data Integration 52

Striim

OCTOBER 4, 2022

Use Striim to power your real-time data architecture In the past, there was some hesitation toward adopting real-time systems unless they were absolutely necessary. Over time, improvements in the price and performance of memory and CPUs have made real-time data processing significantly more affordable for large-scale adoption.

Media 52

Media Data Data Architecture Data Warehouse 52

Knowledge Hut

JUNE 30, 2023

Key Benefits and Takeaways: Understand data intake strategies and data transformation procedures by learning data engineering principles with Python. Investigate alternative data storage solutions, such as databases and data lakes. Key Benefits and Takeaways: Learn the core concepts of big data systems.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

Advancing Analytics: Data Engineering

APRIL 23, 2020

An example of how popular Scala based Software can be used within your data architecture is illustrated below. It is using many common Microsoft Azure data tools, including Storage Blobs, PowerBI and SQL databases, with Spark Streaming acting as a middleman between the data sources and destinations.

Scala 52

Scala Big Data Data Engineering Data Engineer 52

Knowledge Hut

APRIL 26, 2024

In the age of big data processing, how to store these terabytes of data surfed over the internet was the key concern of companies until 2010. Now that the issue of storage of big data has been solved successfully by Hadoop and various other frameworks, the concern has shifted to processing these data.

Data Science 52

Data Science Machine Learning Hadoop Programming Language 52

Striim

NOVEMBER 8, 2023

While monolithic data operations have accelerated adoption of analytics within organizations, centralized data pipelines can quickly grow into bottlenecks due to lack of domain ownership and focus on results. To address this problem, using a data mesh and tangential Data Mesh data architectures are rising in popularity.

Architecture 52

Architecture Generalist Government Datasets 52

Knowledge Hut

SEPTEMBER 29, 2023

Microsoft Data Engineer Certification is one such certification which is most sought after by professionals. By combining data from various structured and unstructured data systems into structures, Microsoft Azure Data Engineers will be able to create analytics solutions.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Silectis

JANUARY 3, 2021

Big Data Large volumes of structured or unstructured data. Big Data Processing In order to extract value or insights out of big data, one must first process it using big data processing software or frameworks, such as Hadoop. Big Query Google’s cloud data warehouse.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

Knowledge Hut

NOVEMBER 17, 2023

Data Architecture and Design: These experts excel in creating effective data structures that meet scalability requirements, ensure optimal data storage, processing, and retrieval, and correspond with business demands. Azure Data Factory stands at the forefront, orchestrating data workflows.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Lake 52

Cloud Academy

JANUARY 27, 2022

Part of the Data Engineer’s role is to figure out how to best present huge amounts of different data sets in a way that an analyst, scientist, or product manager can analyze. What does a data engineer do? A data engineer is an engineer who creates solutions from raw data.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Data Engineering Podcast

OCTOBER 14, 2019

We have partnered with organizations such as O’Reilly Media, Dataversity, Corinium Global Intelligence, Alluxio, and Data Council. Upcoming events include the combined events of the Data Architecture Summit and Graphorum, the Data Orchestration Summit, and Data Council in NYC.

Data Warehouse 100

Data Warehouse PostgreSQL AWS Programming Language 100

DataKitchen

JUNE 12, 2023

We all know that our customers frequently find data and dashboard problems. They have problems with the data trapped in existing complicated multi-step data processes they need help understanding, often fail, and output insights that no one trusts. Teams are shamed and blamed for problems they didn’t cause.

ETL Tools 52

ETL Tools Data Science Data Lake Hadoop 52

Ascend.io

FEBRUARY 28, 2024

This impact of AI on data engineering is best understood through specific examples: Code and Query Generation AI’s ability to assist in creating and refining SQL queries and Python scripts for data engineering significantly streamlines the development of data processes and analyses.

Data Engineering 52

Data Engineering Data Engineer Engineering Metadata 52

Knowledge Hut

MARCH 13, 2024

While working as a big data engineer, there are some roles and responsibilities one has to do: Designing large data systems starts with designing a capable system that can handle large workloads. Develop the algorithms: Once the database is ready, the next thing is to analyze the data to obtain valuable insights.

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

Knowledge Hut

MARCH 13, 2024

While working as a big data engineer, there are some roles and responsibilities one has to do: Designing large data systems starts with designing a capable system that can handle large workloads. Develop the algorithms: Once the database is ready, the next thing is to analyze the data to obtain valuable insights.

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

Monte Carlo

JULY 27, 2023

The most common use case data quality engineers support are: Analytical dashboards : Mentioned in 56% of job postings Machine learning or data science teams : Mentioned in 34% of postings Gen AI : Mentioned in one job posting (but really emphatically).

Engineering 52

Engineering Healthcare Scala Data Warehouse 52

Databand.ai

JUNE 28, 2023

They’re betting their business on it and that the data pipelines that run it will continue to work. Context is crucial (and often lacking) A major cause of data quality issues and pipeline failures are transformations within those pipelines. Most data architecture today is opaque—you can’t tell what’s happening inside.

Data Pipeline 98

Data Pipeline Data Engineering Data Engineer Engineering 98

Snowflake

JANUARY 30, 2023

After four months of testing, du Toit and his team had moved one of its databases to Snowflake for bulk data processing. Ramp fetches and delivers data into S3 buckets as well as uses dbt to transform data at each stage. “Snowflake quickly beat the other vendors we were looking at in terms of price and features.”

Data Architecture 52

Data Architecture Architecture Management Datasets 52

AltexSoft

JULY 18, 2023

It allows data scientists to analyze large datasets and interactively run jobs on them from the R shell. Big data processing. Despite these nuances, Spark’s high-speed processing capabilities make it an attractive choice for big data processing tasks. Here are some of the possible use cases.

Big Data 52

Big Data Data Process Process Hadoop 52

Rockset

MAY 12, 2022

Maintaining two data processing paths creates extra work for developers who must write and maintain two versions of code, as well as greater risk of data errors. Developers and data scientists also have little control over the streaming and batch data pipelines. Google and other web-scale companies also use ALT.

Analytics Application 52

Analytics Application Lambda Architecture Hadoop Electronics 52

Towards Data Science

APRIL 6, 2023

The Implementation After reading one line or two about the available data processing tools in AWS, I chose to build a data pipeline with Lambda and Glue as data processing components, S3 as storage, and a local Airflow to orchestrate everything. Spark: The definitive guide: Big data processing made simple.

AWS 79

AWS Data Pipeline Amazon Web Services Python 79

Snowflake

APRIL 5, 2023

To some degree, it resembles dimensional model fact tables attached to a data vault which causes confusion for business users and apps. To solve this, developers create a presentation layer on top of the Data Vault to serve business tools, but this adds overhead in data processing and performance.

Data Warehouse 52

Data Warehouse Healthcare Unstructured Data Metadata 52

Cloudera

AUGUST 21, 2020

Can you talk about some of the technology that helps make managing live streaming data possible? Cloudera DataFlow offers the capability for Edge to cloud streaming data processing. This type of end-to-end data processing that starts at the Edge and ends in the cloud is made possible by using Apache NiFi.

Banking 61

Banking Kafka Cloud Storage Government 61