phData: Data Engineering

SEPTEMBER 19, 2023

Cost reduction by minimizing data redundancy, improving data storage efficiency, and reducing the risk of errors and data-related issues. Data Governance and Security By defining data models, organizations can establish policies, access controls, and security measures to protect sensitive data.

Data Lake 52

Data Lake Process Metadata Data Warehouse 52

AltexSoft

FEBRUARY 11, 2023

What’s more, investing in data products, as well as in AI and machine learning was clearly indicated as a priority. This suggests that today, there are many companies that face the need to make their data easily accessible, cleaned up, and regularly updated. This privacy law must be kept in mind when building data architecture.

Data Architect 87

Data Architect Certification Generalist Big Data 87

Cloudera

AUGUST 10, 2021

SDX enhancements for improved platform and data governance, including the following notable features: . Impala Row Filtering to set access policies for rows when reading from a table. x, as well as documented rollback procedures to help customers with their move to CDP PvC Base, as mentioned in the blog introduction. .

Cloud 97

Cloud Kafka Metadata SQL 97

Monte Carlo

JULY 11, 2023

Even if the data is accurate, if it does not address the specific questions or requirements of the task, it may be of limited value or even irrelevant. Contextual understanding: Data quality is also influenced by the availability of relevant contextual information. is the gas station actually where the map says it is?).

Data Cleanse 40

Data Cleanse Datasets Data Governance Government 40

Monte Carlo

JULY 10, 2023

Accuracy reflects the degree to which the data correctly describes the “real-world” objects being described. For example, let’s say a streaming provider has 10 million overall subscribers who can access its content. According to the CRM’s data set, the streaming provider has 13 million subscribers.

Data Collection 40

Data Collection Data Governance Government Data 40

Cloudera

AUGUST 4, 2021

And if data security tops IT concerns, data governance should be their second priority. Not only is it critical to protect data, but data governance is also the foundation for data-driven businesses and maximizing value from data analytics. But it’s still not easy. But it’s still not easy.

Data Governance 89

Data Governance Government Metadata Data Security 89

dbt Developer Hub

JULY 2, 2023

Agile development ​ dbt Cloud includes built-in Git with accessible features directly from its IDE, which simplifies development immensely. Once a developer is happy with their additions or changes to the Data Vault codebase, they can commit the code within the IDE and open a Pull Request, triggering a code review process.

Cloud 52

Cloud Data Warehouse Data BI 52

AltexSoft

MARCH 2, 2023

As the amount of enterprise data continues to surge, businesses are increasingly recognizing the importance of data governance — the framework for managing an organization’s data assets for accuracy, consistency, security, and effective use. Projections show that the data governance market will expand from $1.81

Data Governance 52

Data Governance Government Healthcare Programming 52

Monte Carlo

APRIL 7, 2021

As the PM for Protocols , our data governance tool, I spent a lot of time thinking about and building dashboards to evaluate the quality of data our customers were sending to Segment. Your data lineage should include data products like BI reports, ML models or reverse ETL sinks to be useful.

Data Engineering 40

Data Engineering Data Engineer Engineering Datasets 40

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

Snowflake

JANUARY 23, 2024

Snowpark ML Operations: Model management The path to production from model development starts with model management, which is the ability to track versioned model artifacts and metadata in a scalable, governed manner. The Snowpark Model Registry API provides simple catalog and retrieval operations on models.

Machine Learning 120

Machine Learning Metadata Python Telecommunication 120

Monte Carlo

MAY 20, 2024

It is primarily concerned with the accuracy and proper usage of data at a micro level. On the other hand, a data catalog aims to provide a macro view of an organization’s data landscape. Relationships : Information on how the data element relates to other elements in the system.

Datasets 52

Datasets Government Data Business Analyst 52

Monte Carlo

MAY 25, 2023

That’s why we’re excited to announce that uniting diverse data team personas to collectively ensure data quality just got easier, thanks to a new integration between Monte Carlo’s data observability platform and Atlan’s active metadata platform.

Metadata 52

Metadata Data Governance Government Business Intelligence 52

Ascend.io

JULY 19, 2023

Process: Building Robust Systems from Data Governance to Product Publishing Just as a well-oiled machine needs precise processes, a successful data mesh needs to establish and adhere to processes regarding data governance, data curation, and data product publishing. Promote cross-domain collaboration.

Data Governance 40

Data Governance Government Metadata Data 40

Monte Carlo

JULY 25, 2023

Data curation is the process of transforming and enriching larger amounts of raw data into smaller, more widely accessible subsets of data that provide additional value to the organization or the intended use case. In This Article: What is data curation? It would also make the data engineering team a bottleneck.

Raw Data 52

Raw Data Data Warehouse Data Architecture 52

Snowflake

JANUARY 22, 2024

As part of that transition, Fidelity has consolidated its analytics data into its Enterprise Analytics Platform, which is engineered using the Snowflake Data Cloud, making it easier for teams and departments across the company to access the data they need. Ready to start building models of your own with Snowpark ML?

Engineering 63

Engineering Data Lake Unstructured Data Metadata 63

DataKitchen

FEBRUARY 2, 2023

DataOps Automation (Orchestration, Environment Management, Deployment Automation) DataOps Observability (Monitoring, Test Automation) Data Governance (Catalogs, Lineage, Stewardship) Data Privacy (Access and Compliance) Data Team Management (Projects, Tickets, Documentation, Value Stream Management) What are the drivers of this consolidation?

Metadata 52

Metadata BI Government ETL Tools 52

AltexSoft

JUNE 26, 2023

Data collection revolves around gathering raw data from various sources, with the objective of using it for analysis and decision-making. It includes manual data entries, online surveys, extracting information from documents and databases, capturing signals from sensors, and more.

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52

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

Monte Carlo

AUGUST 25, 2023

One advantage of data warehouses is their integrated nature. As fully managed solutions, data warehouses are designed to offer ease of construction and operation. A warehouse can be a one-stop solution, where metadata, storage, and compute components come from the same place and are under the orchestration of a single vendor.

Data Lake 52

Data Lake Data Warehouse Unstructured Data Raw Data 52

AltexSoft

NOVEMBER 10, 2021

At the same time, it brings structure to data and empowers data management features similar to those in data warehouses by implementing the metadata layer on top of the store. Key data warehouse limitations: Inefficiency and high costs of traditional data warehouses in terms of continuously growing data volumes.

Architecture 52

Architecture Data Lake Data Warehouse Metadata 52

Ascend.io

MARCH 14, 2023

Data represents our present and our future, and therein lies a significant problem: the more data you’re dealing with, the more challenging it will be to scale your company in a sustainable and standardized way. A monolithic data platform stores all this data in one place. So, what’s the solution?

Government 52

Government Architecture Data Lake Data 52

Ascend.io

MARCH 14, 2023

Data represents our present and our future, and therein lies a significant problem: the more data you’re dealing with, the more challenging it will be to scale your company in a sustainable and standardized way. A monolithic data platform stores all this data in one place. So, what’s the solution?

Government 52

Government Architecture Data Lake Data 52

Cloudera

JANUARY 21, 2022

The architecture reflects the four pillars of security engineering best practice, Perimeter, Data, Access and Visibility. Authentication is first configured to ensure that users and services can access the cluster only after proving their identities. Auditing procedures keep track of who accesses the cluster (and how).

Architecture 114

Architecture Transportation Certification Government 114

AltexSoft

NOVEMBER 23, 2021

Not to mention that additional sources are constantly being added through new initiatives like big data analytics , cloud-first, and legacy app modernization. To break data silos and speed up access to all enterprise information, organizations can opt for an advanced data integration technique known as data virtualization.

Process 69

Process Data Lake Metadata Data Warehouse 69

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. DataFrames are used by Spark SQL to accommodate structured and semi-structured data. Apache CouchDB Source: idroot.us

Big Data 52

Big Data Project Metadata Programming Language 52

AltexSoft

JULY 29, 2022

A master node called NameNode maintains metadata with critical information, controls user access to the data blocks, makes decisions on replications, and manages slaves. Instruments like Apache ZooKeeper and Apache Oozie help better coordinate operations, schedule jobs, and track metadata across a Hadoop cluster.

Hadoop 59

Hadoop Big Data Google Cloud NoSQL 59

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

Cloudera

FEBRUARY 11, 2019

The root cause is firmly entrenched in legacy systems and traditional data governance challenges that not only result in data silos but also the misguided belief that data privacy is diametrically opposed to effective exploration of information. Governing digital transformation and growth.

Government 59

Government Data Governance Data Science Machine Learning 59

ProjectPro

AUGUST 24, 2021

But, it is important to wonder how an organization will achieve the same steps on data of different types. Project Idea: Azure Pureview is a data governance tool introduced by Microsoft that lets its users handle data better. Ensure that the website has a simple UI and can be accessed by anyone.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

Snowflake

JUNE 27, 2023

Additional pruning features, now GA, help reduce the need to scan across entire data sets, thereby enabling faster searches. To help customers more easily analyze the structure of expensive queries and identify operators that cause performance problems, we will soon be making Programmatic Access to Query Profile available in GA.

Data Governance 57

Data Governance Unstructured Data Government SQL 57

AltexSoft

MAY 12, 2023

Unlike structured data, which is organized into neat rows and columns within a database, unstructured data is an unsorted and vast information collection. It can come in different forms, such as text documents, emails, images, videos, social media posts, sensor data, etc. Some examples of unstructured data Text documents.

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

RandomTrees

FEBRUARY 6, 2024

Generative AI corrects data imbalances, ensuring fair sentiment analysis on e-commerce platforms, enriches training data for natural language processing (NLP) tasks. Ingestion: The Art of Data Assimilation: Ensuring the digital document accurately reflects the original handwritten material.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Lake 52

Cloudera

OCTOBER 7, 2021

Application Logic: Application logic refers to the type of data processing, and can be anything from analytical or operational systems to data pipelines that ingest data inputs, apply transformations based on some business logic and produce data outputs.

Architecture 127

Architecture Metadata Government Kafka 127

Monte Carlo

MAY 19, 2022

When you infer some of Maxime’s original criteria–tedious tasks, low recognition, a lack of authority, and victim of operational creep– the data steward becomes the obvious choice. The data steward role is designed to solve some of the hardest challenges in data today: governance, compliance, and access.

Generalist 52

Generalist Data Governance Government Metadata 52

Monte Carlo

NOVEMBER 20, 2023

So, what is data quality exactly? Column-level tests are manually added to validate data integrity and ensure specific data quality standards. With dbt you will also have table level lineage and you can start to capture documentation —which is a good habit to get into regardless of where you’re at on your data quality journey.

Government 69

Government Data Data Governance Datasets 69

Data Engineering Weekly

JULY 23, 2023

[link] Sponsored: Atlan AI – The First Copilot for Data Teams How do you create documentation for 1000s of data assets in minutes? Find the right, trusted data by simply asking a question. Atlan AI leverages metadata that Atlan captures across the data stack to make AI part of your data stack.

Data Engineering 52

Data Engineering Data Engineer Engineering Deep Learning 52