Snowflake

SEPTEMBER 19, 2023

What we’ve done over the years is enable structured and unstructured data. The key piece there is you have to be able to govern that data. Your data is very, very valuable, and you have to have a place where you keep the data governed and give the right access to the right people.

Machine Learning 99

Machine Learning Unstructured Data Data Analytics Government 99

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

Knowledge Hut

SEPTEMBER 21, 2023

From Azure Data Factory for data integration and orchestration to Azure Databricks for large-scale data transformations, we use a diverse toolkit to engineer efficient data solutions. As new technologies emerge, data engineers will need to update their skills to stay ahead and meet the evolving demands of the industry.

Data Engineering 52

Data Engineering Data Engineer Engineering Cloud Computing 52

Precisely

APRIL 11, 2023

When data owners from business and technical teams don’t share a common understanding of this siloed data enterprise-wide, confidence in decisions and results are impacted. That’s why a data catalog is critical to any organization – particularly if you run analysis and reports in cloud data platforms.

Accessible 52

Accessible Accessibility Metadata Data Integration 52

DataKitchen

OCTOBER 2, 2023

Whether the Data Ingestion Team struggles with fragmented database ownership and volatile data environments or the End-to-End Data Product Team grapples with real-time data observability issues, the article provides actionable recommendations. ’ What’s a Data Journey?

Data Ingestion 40

Data Ingestion Data Government Datasets 40

Knowledge Hut

APRIL 25, 2023

It provides a unified API that allows businesses to collect customer data from various sources, such as websites, mobile apps, and servers. Key features: Centralized customer data Real-time data streaming Support for data governance 6.

Data Engineering 52

Data Engineering Data Engineer Engineering Google Cloud 52

AltexSoft

AUGUST 29, 2023

The polished, reliable data is now ready for end-users and is exposed via Business Intelligence tools such as Tableau or Power BI. It’s also where specialized roles like data analysts, business analysts , and decision-makers come into play, using the processed data to drive business decisions.

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

Monte Carlo

MAY 20, 2024

It’s an essential resource for database administrators, data engineers, and developers who need to ensure that the data within a specific system or database is used consistently and correctly. On the other hand, a data catalog is used more broadly within an organization and is instrumental in data governance and business analysis.

Datasets 52

Datasets Government Data Business Analyst 52

phData: Data Engineering

JANUARY 3, 2022

This means it’s business-critical that companies can derive value from their data to better inform business decisions, protect their enterprise and their customers, and grow their business. Table of Contents What is Data Engineering What is Data Governance? What is Data Science?

Data Engineering 52

Data Engineering Data Engineer Engineering Data Governance 52

Striim

NOVEMBER 15, 2023

Typically to achieve this goal various teams including data engineers, sql developers, data scientists and business analysts work independently with their own datasets and data pipelines, tools & scripts causing not only duplicate efforts but also silos of storage footprint.

Retail 52

Retail BI Data Warehouse Business Analyst 52

Knowledge Hut

SEPTEMBER 26, 2023

In today's business environment, data is an invaluable asset. To derive key insights from data, business intelligence systems, and tools assist data scientists and business analysts. Power BI has built-in advanced capabilities for integrating data from various sources and formats.

BI 52

BI Business Intelligence Raw Data Data Analysis 52

Snowflake

JANUARY 23, 2023

How Data Modeling Fits In Once the data is captured and integrated into Snowflake, it must be harmonized, or modeled. The ultimate aim of data modeling is to establish clear data standards for your entire organization. Data models also help with data governance and legal compliance, as well as ensuring data integrity.

Data Integration 58

Data Integration Data Data Warehouse Business Analyst 58

Knowledge Hut

JULY 26, 2023

Managing and maintaining the company's database, which includes data entry, validation, etc. Ensuring the accuracy and integrity of data, thus enforcing data quality standards and establishing data governance procedures and policies.

Database 52

Database MySQL Certification SQL 52

dbt Developer Hub

SEPTEMBER 28, 2022

Which brings us to our third and final point: Analysts understand the pain of a poorly documented dataset. It’s much easier to keep to a naming guide when the writer has a deep understanding of the data and how it’s referenced by the business. A data engineer will document a dataset based on what they needed to know to build it.

Engineering 52

Engineering Raw Data Datasets BI 52

Knowledge Hut

DECEMBER 7, 2023

Powеr BI helps in visualizing and analyzing data to derive insights, while DеvOps ensures that applications and infrastructure are continuously monitorеd, and data-rеlatеd metrics are available for analysis. Collaboration: Both Powеr BI and DеvOps encourage collaboration within an organization.

BI 52

BI Business Intelligence Datasets Data Analysis 52

AltexSoft

NOVEMBER 23, 2021

Data quality control — to ensure that all information is correct by applying data validation logic. Data security and governance — to provide different security levels to admins, developers, and consumer groups as well as define clear data governance rules, removing barriers for information sharing. ?onsuming

Process 69

Process Data Lake Metadata Data Warehouse 69

ProjectPro

NOVEMBER 30, 2021

In extract-transform-load (ETL), data is obtained from multiple sources, transformed, and stored in a single data warehouse, with access to data analysts , data scientists , and business analysts for data visualization and statistical analysis model building, forecasting, etc.

Process 52

Process Data Pipeline Data Warehouse AWS 52

Monte Carlo

OCTOBER 5, 2023

Ownership of measurements Different teams can play different roles in measuring data quality, but you’ll want to be sure clear accountability is assigned and good communication channels are in place. Data quality standards for governance Data governance is the process of maintaining the availability, usability, privacy, and security of data.

Government 52

Government Data Governance Data Datasets 52

Cloudera

OCTOBER 11, 2021

And most importantly, it democratizes access to end-users, such as Data Engineering teams, Data Science teams, and even citizen data scientists, across the organization while ensuring compliance with data governance policies are met. Customers using Modak Nabu with CDP today have deployed Data Lakes and.

Data Engineering 95

Data Engineering Data Engineer Cloud Engineering 95

Monte Carlo

JANUARY 12, 2024

Beyond that, a data observability platform like Monte Carlo can automate monitoring, alerting, lineage, and triaging to highlight data quality and discoverability issues (and potential issues). The ultimate goal here is to eliminate bad data altogether and prevent it from recurring.

Big Data 59

Big Data Data Analytics Data Science Data Lake 59

Cloudera

AUGUST 26, 2020

Talend’s data management environment running on Cloudera Data Platform enables you to create and execute Hadoop and Spark integration jobs, process and reconcile Big Data, and implement data governance processes using an intuitive drag-and-drop interface.

Machine Learning 84

Machine Learning BI Big Data Data Warehouse 84