phData: Data Engineering

SEPTEMBER 19, 2023

With the amount of data companies are using growing to unprecedented levels, organizations are grappling with the challenge of efficiently managing and deriving insights from these vast volumes of structured and unstructured data. What is a Data Lake? Want to learn more about data governance?

Data Lake 52

Data Lake Process Metadata Data Warehouse 52

Monte Carlo

AUGUST 25, 2023

Typically, data warehouses work best with structured data defined by specific schemas that organize your data into neat, well-labeled boxes. This same structure aids in maintaining data quality and simplifies how users interact with and understand the data.

Data Lake 52

Data Lake Data Warehouse Unstructured Data Raw Data 52

Monte Carlo

FEBRUARY 26, 2024

A data catalog is a constantly updated inventory of the universe of data assets within an organization. It uses metadata to create a picture of the data, as well as the relationships between data assets of diverse sources, and the processing that takes place as data moves through systems.

Metadata 52

Metadata Government Data Data Governance 52

Monte Carlo

FEBRUARY 12, 2024

To differentiate and expand the usefulness of these models, organizations must augment them with first-party data – typically via a process called RAG (retrieval augmented generation). Today, this first-party data mostly lives in two types of data repositories.

Database 72

Database Unstructured Data Data Pipeline Metadata 72

AltexSoft

AUGUST 29, 2023

In 2010, a transformative concept took root in the realm of data storage and analytics — a data lake. The term was coined by James Dixon , Back-End Java, Data, and Business Intelligence Engineer, and it started a new era in how organizations could store, manage, and analyze their data. Structured data sources.

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

Cloudera

JUNE 7, 2022

We live in a hybrid data world. In the past decade, the amount of structured data created, captured, copied, and consumed globally has grown from less than 1 ZB in 2011 to nearly 14 ZB in 2020. Impressive, but dwarfed by the amount of unstructured data, cloud data, and machine data – another 50 ZB.

IT 115

IT Unstructured Data Data Architecture Government 115

Snowflake

MARCH 30, 2023

3EJHjvm Once a business need is defined and a minimal viable product ( MVP ) is scoped, the data management phase begins with: Data ingestion: Data is acquired, cleansed, and curated before it is transformed. Feature engineering: Data is transformed to support ML model training. ML workflow, ubr.to/3EJHjvm

Engineering 99

Engineering Raw Data Data Science Scala 99

Monte Carlo

APRIL 24, 2023

Traditionally, after being stored in a data lake, raw data was then often moved to various destinations like a data warehouse for further processing, analysis, and consumption. Databricks Data Catalog and AWS Lake Formation are examples in this vein.

Data Lake 52

Data Lake Google Cloud Data Warehouse AWS 52

Monte Carlo

JULY 13, 2023

Data-driven organizations generate, collect, and store vast amounts of data. To effectively manage and analyze this data, data engineering teams must navigate a wide range of challenges, including data access, security, compliance, and data observability. Automating self-service access.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Governance 52

Cloudera

JUNE 25, 2021

Many Cloudera customers are making the transition from being completely on-prem to cloud by either backing up their data in the cloud, or running multi-functional analytics on CDP Public cloud in AWS or Azure. The Replication Manager service facilitates both disaster recovery and data migration across different environments.

Cloud 73

Cloud Data Lake Cloud Storage Metadata 73

Towards Data Science

MARCH 5, 2024

Summary ∘ Embrace data modeling best practices ∘ Master data operations for cost-effectiveness ∘ Design for efficiency and avoid unnecessary data persistence Disclaimer : BigQuery is a product which is constantly being developed, pricing might change at any time and this article is based on my own experience.

Bytes 69

Bytes Google Cloud Cloud Storage Utilities 69

Snowflake

JULY 10, 2023

With this new Snowpark capability, data engineers and data scientists can process any type of file directly in Snowflake, regardless if files are stored in Snowflake-managed storage or externally. Mike Tuck, Air Pollution Specialist Why unstructured data?

Unstructured Data 40

Unstructured Data Python Process Scala 40

Data Engineering Podcast

FEBRUARY 3, 2019

In this episode Eric Kansa describes how they process, clean, and normalize the data that they host, the challenges that they face with scaling ETL processes which require domain specific knowledge, and how the information contained in connections that they expose is being used for interesting projects.

Digital Media 100

Digital Media Media PostgreSQL Datasets 100

ProjectPro

JANUARY 31, 2023

Big Data is a collection of large and complex semi-structured and unstructured data sets that have the potential to deliver actionable insights using traditional data management tools. Big data operations require specialized tools and techniques since a relational database cannot manage such a large amount of data.

Big Data 52

Big Data Hadoop AWS Relational Database 52

Ascend.io

JULY 19, 2023

While the journey will differ from company to company — because of their unique business and data needs — there are fundamental principles that provide a blueprint for action. Consider this your primer to stop overthinking, start acting, and truly harness the power of data mesh. Establish clear data governance policies.

Data Governance 40

Data Governance Government Metadata Data 40

Monte Carlo

APRIL 1, 2021

Over the past few years, data lakes have emerged as a must-have for the modern data stack. But while the technologies powering our access and analysis of data have matured, the mechanics behind understanding this data in a distributed environment have lagged behind. Who has access to it?

Data Lake 52

Data Lake Unstructured Data Data Warehouse Metadata 52

Knowledge Hut

DECEMBER 21, 2023

They can make optimum use of data of all kinds, be it real-time or historical, structured or unstructured. Since Hadoop tools make it easy for organizations to deal with massive amounts of data, they can manage the task internally without outsourcing it to external specialists. Hive has high latency.

Hadoop 52

Hadoop Big Data NoSQL Unstructured Data 52

RandomTrees

SEPTEMBER 6, 2020

There is no hardware to select, install, configure or manage and that makes it ideal for organizations that do not want to dedicate resources for support and maintenance. Ongoing maintenance, management and tuning is handled by Snowflake. Snowflake architecture provides flexibility with big data.

Cloud Storage 52

Cloud Storage Data Ingestion Data Cleanse Data Warehouse 52

Netflix Tech

MARCH 5, 2019

Finally, provisioning our infrastructure itself is also becoming an increasingly complex task, so our data teams contribute to tools for diagnosis and automation of our cloud capacity management. In the Performance space, our data teams currently focus on the quality of experience on Netflix-enabled devices.

Cloud 73

Cloud Building Amazon Web Services Metadata 73

ProjectPro

JANUARY 24, 2023

With over 20 pre-built connectors and 40 pre-built transformers, AWS Glue is an extract, transform, and load (ETL) service that is fully managed and allows users to easily process and import their data for analytics. You can leverage AWS Glue to discover, transform, and prepare your data for analytics.

AWS 52

AWS Data Lake ETL Tools Scala 52

Towards Data Science

JANUARY 17, 2024

These are key in nearly all data pipelines, allowing for efficient data storage and easier querying and information extraction. They are designed to handle the challenges of big data like size, speed, and structure. Data engineers often face a plethora of choices. Plus, there’s the _delta_log folder.

Big Data 69

Big Data Data Data Storage SQL 69

Cloudera

SEPTEMBER 17, 2020

By enabling their event analysts to monitor and analyze events in real time, as well as directly in their data visualization tool, and also rate and give feedback to the system interactively, they increased their data to insight productivity by a factor of 10. . Our solution: Cloudera Data Visualization.

Unstructured Data 84

Unstructured Data Data Warehouse Pharmaceutical MySQL 84

ProjectPro

AUGUST 11, 2021

This means that a data warehouse is a collection of technologies and components that are used to store data for some strategic use. Data is collected and stored in data warehouses from multiple sources to provide insights into business data. Data from data warehouses is queried using SQL.

Data Lake 52

Data Lake Data Warehouse Cloud Hadoop 52

Monte Carlo

NOVEMBER 20, 2023

As your datasets start to grow beyond what can be manually inspected, there’s a transition to using dbt for more structured data testing. Column-level tests are manually added to validate data integrity and ensure specific data quality standards. When you’re at this level, it’s time to start walking.

Government 69

Government Data Data Governance Datasets 69

Grouparoo

JANUARY 11, 2022

When it comes to storing large volumes of data, a simple database will be impractical due to the processing and throughput inefficiencies that emerge when managing and accessing big data. There are two main options available, a data lake and a data warehouse.

Data Lake 52

Data Lake Data Warehouse Unstructured Data Raw Data 52

ProjectPro

JANUARY 31, 2022

It also offers a unique architecture that allows users to quickly build tables and begin querying data without administrative or DBA involvement. Snowflake is a cloud-based data platform that provides excellent manageability regarding data warehousing, data lakes, data analytics, etc. What Does Snowflake Do?

Architecture 52

Architecture IT Data Warehouse Amazon Web Services 52

Striim

JANUARY 4, 2023

Data contracts tackle this uncertainty and end assumptions by creating a formal agreement. This agreement contains a schema that describes and documents data, which determines who can expose data from your service, who can consume your data, and how you can manage your data. What are data contracts?

PostgreSQL 52

PostgreSQL Data Warehouse Data Lake Data 52

ProjectPro

NOVEMBER 15, 2021

When any particular project is open-sourced, it makes the source code accessible to anyone. The adaptability and technical superiority of such open-source big data projects make them stand out for community use. You can contribute to Apache Beam open-source big data project here: [link] 2.

Big Data 52

Big Data Project Metadata Programming Language 52

Ascend.io

AUGUST 31, 2023

Modern platforms like Redshift , Snowflake , and BigQuery have elevated the data warehouse model. The Data Lake Pattern Emerging in contrast to the structured world of warehousing, data lakes cater to the dynamic and diverse nature of modern internet-based applications.

Data Lake 52

Data Lake ETL Tools Data Warehouse Data Pipeline 52

Silectis

JANUARY 3, 2021

Data Architecture Data architecture is a composition of models, rules, and standards for all data systems and interactions between them. Data Catalog An organized inventory of data assets relying on metadata to help with data management. Database A collection of structured data.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

Monte Carlo

JUNE 14, 2023

This frequently involves, in some order, extraction (from a source system), transformation (where data is combined with other data and put into the desired format), and loading (into storage where it can be accessed). Most organizations deploy some or all of these data pipeline architectures.

Data Pipeline 52

Data Pipeline Architecture Data Lake Data Warehouse 52

Monte Carlo

MARCH 18, 2021

Challenge #2: Organizational bottlenecks Even if you have well-structured data in place, you need to have the right people with the right skill sets on the right teams to make use of it. Take a step back and examine your organizational structure. We call this data democratization. What value these initiatives will create?

Data Governance 52

Data Governance Government Machine Learning Datasets 52

ProjectPro

NOVEMBER 22, 2021

Their team uses Python's unittest package and develops a task for each entity type to keep things simple and manageable (e.g., PySpark runs a completely compatible Python instance on the Spark driver (where the task was launched) while maintaining access to the Scala-based Spark cluster access. sports activities). count())) df2.show(truncate=False)

Hadoop 52

Hadoop Python Datasets Metadata 52

Ascend.io

JUNE 8, 2023

Data Ingestion Data in today’s businesses come from an array of sources, including various clouds, APIs, warehouses, and applications. This multitude of sources often causes a dispersed, complex, and poorly structured data landscape. Data sharing goes beyond simply making the data available.

Pipeline-centric 52

Pipeline-centric Database-centric Data Ingestion Data Pipeline 52

Monte Carlo

JANUARY 25, 2023

The question of whether to build versus buy can mean very different things based on what level of the data stack you’re considering. Building” can mean anything from building a system from the ground up to leveraging open source tools to assemble and manage your stack in-house. So, let’s take a look at each in a bit more detail.

Data Warehouse 40

Data Warehouse Building Data Lake Data Storage 40

Monte Carlo

JUNE 28, 2023

These are the world of data and the data warehouse that is focused on using structured data to answer questions about the past and the world of AI that needs more unstructured data to train models to predict the future. From his perspective, this can only be done efficiently with platforms.

Data Warehouse 52

Data Warehouse Scala Unstructured Data Government 52

Rockset

JANUARY 28, 2020

Aside from video data from each camera-equipped store, Standard deals with other data sets such as transactional data, store inventory data that arrive in different formats from different retailers, and metadata derived from the extensive video captured by their cameras.

Retail 40

Retail Google Cloud Raw Data Data Lake 40