François Nguyen

MARCH 22, 2021

TL;DR After setting up and organizing the teams, we are describing 4 topics to make data mesh a reality. How do we build data products ? How can we interoperate between the data domains ? It gives an anwser to what do we have , where is the data (its address) how many objects do we have ? who are our active users ?

Architecture 130

Architecture Technology Google Cloud Metadata 130

Knowledge Hut

OCTOBER 30, 2023

Data Integration: Assist in integrating data from multiple sources into Power BI, ensuring data consistency and accuracy. Data Validation: Help validate data against predefined business rules and ensure data quality. Ensure compliance with data protection regulations.

BI 52

BI Business Intelligence Data Cleanse Business Analyst 52

Databand.ai

JULY 19, 2023

Data can come from many different sources, and in many different formats—from structured databases to unstructured documents. These sources might include external data like social media feeds, internal data like logs or reports, or even real-time data feeds from IoT (Internet of Things) devices. Where is it stored?

Data Ingestion 52

Data Ingestion Process Data Cleanse Data Governance 52

Cloudera

JUNE 22, 2023

The top-line benefits of a hybrid data platform include: Cost efficiency. A hybrid data platform enables the preservation of existing investments in legacy applications and workloads without modifying them. It ensures compliance with regulatory requirements while shifting non-sensitive data and workloads to the cloud.

Data Cleanse 65

Data Cleanse Data Governance Unstructured Data Cloud Storage 65

Knowledge Hut

APRIL 23, 2024

Privacy and Security Concerns The chances of data in large volumes being vulnerable to security threats, data breaches, and cyberattacks are quite high. Unless it is safeguarded via modern tech means, data security is a very real threat. Costs Every activity related to big data brings significant costs.

Big Data 52

Big Data Media Government Big Data Skills 52

Knowledge Hut

APRIL 23, 2024

Big Data vs Small Data: Function Variety Big Data encompasses diverse data types, including structured, unstructured, and semi-structured data. It involves handling data from various sources such as text documents, images, videos, social media posts, and more. How they are Similar?

Big Data 52

Big Data Datasets Data Analysis Media 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

Knowledge Hut

JANUARY 30, 2024

Here, we explore the diverse types of Extraction, showcasing the breadth of possibilities it offers: Textual Data: This includes extracting textual content from sources such as documents, emails, social media posts, and web pages. Textual data extraction is vital for sentiment analysis, content categorization, and text mining.

ETL Tools 52

ETL Tools Database-centric Data Mining Data Cleanse 52

Cloudera

AUGUST 4, 2021

With hackers now working overtime to expose business data or implant ransomware processes, data security is largely IT managers’ top priority. And if data security tops IT concerns, data governance should be their second priority. Effective data governance must extend beyond the IT organization.

Data Governance 83

Data Governance Government Metadata Data Security 83

Edureka

FEBRUARY 7, 2023

This exam measures your ability to design and implement data management, data processing, and data security solutions using Azure data services. The course covers the skills and knowledge required to design and implement data management, data processing, and data security solutions using Azure data services.

Data Engineering 52

Data Engineering Data Engineer Engineering Programming Language 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. What is data governance? billion in 2020 to $5.28

Data Governance 52

Data Governance Government Healthcare Programming 52

Knowledge Hut

APRIL 25, 2023

It provides a suite of tools for data preparation, modeling, and visualization, as well as collaboration and sharing. With Power BI, data engineers can easily create interactive reports and dashboards that can be accessed from anywhere, on any device. Google BigQuery is a fully-managed, serverless data warehouse service.

Data Engineering 52

Data Engineering Data Engineer Engineering Google Cloud 52

Monte Carlo

FEBRUARY 6, 2023

Migrations require support from everyone from data engineers and stakeholders to cross-functional partners in order to be successful, so it’s critically important to get the right people around the table early. What teams will be using your new data warehouse? What will they need access to and when? Is your data structured?

Data Warehouse 52

Data Warehouse AWS Data Validation Data 52

Knowledge Hut

JANUARY 24, 2024

Data Sources Tableau Software can access many data sources and servers. The thing about Power BI is that it supports different data sources. The ease of Using Tableau provides some crucial advantages for detailed data exploration and visualization.

BI 98

BI Business Intelligence Non-relational Database Data Analysis 98

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 64

Engineering Data Lake Unstructured Data Data Science 64

Knowledge Hut

SEPTEMBER 26, 2023

The insights derived from the data in hand are then turned into impressive business intelligence visuals such as graphs or charts for the executive management to make strategic decisions. In this post, we will discuss the top power BI developer skills required to access Microsoft’s power business intelligence software.

BI 52

BI Business Intelligence Raw Data Data Analysis 52

Knowledge Hut

SEPTEMBER 6, 2023

Over the past decade, the IT world transformed with a data revolution. Back when I studied Computer Science in the early 2000s, databases like MS Access and Oracle ruled. The rise of big data and NoSQL changed the game. Systems evolved from simple to complex, and we had to split how we find data from where we store it.

Database 52

Database Certification MongoDB MySQL 52

Knowledge Hut

JULY 24, 2023

These databases use RAM-based data storage, which offers quicker access and response times than disk-based storage. Multi-model Databases Another innovative solution that supports many data models, including document, graph, and key-value stores, is multi-model databases.

Database 52

Database NoSQL Management Relational Database 52

Cloudera

JANUARY 21, 2022

This blog will summarise the security architecture of a CDP Private Cloud Base cluster. The architecture reflects the four pillars of security engineering best practice, Perimeter, Data, Access and Visibility. Auditing procedures keep track of who accesses the cluster (and how). Sensitive data is encrypted.

Architecture 107

Architecture Transportation Certification Government 107

Snowflake

JULY 10, 2023

To buy and use a traditional SaaS app, a business has to go through lengthy evaluations and verify that the application builder adhered to their standards of data security. Either way, it creates new data silos that require ETL, APIs, or other methods to make the data accessible—and require you to spend time managing the process.

Entertainment 63

Entertainment Government Retail Healthcare 63

Cloudera

DECEMBER 14, 2020

Enterprises can count on CDP for data security and governance with the tight integration of Cloudera SDX, Shared Data Experience. This webinar also includes documentation which details each step further to ensure your success in deploying CDP. He will explain each step of the way to help you get onto CDP.

Process 68

Process Kafka Government Big Data 68

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

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

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. Experiments remain undocumented and model versioning is done haphazardly.

Government 56

Government Data Governance Data Science Machine Learning 56

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

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

Monte Carlo

MAY 31, 2023

A variety of factors can threaten the integrity of your data, from human error and ineffective training to a lack of security and liberal data access. A data integrity framework is a system of processes and technologies that work together to improve data quality, security, and compliance at scale.

Building 52

Building Data Validation Healthcare Data Integration 52

Cloudera

OCTOBER 7, 2021

Infrastructure Environment: The infrastructure (including private cloud, public cloud or a combination of both) that hosts application logic and data. The Data Governance body designates a Data Product as the Authoritative Data Source (ADS) and its Data Publisher as the Authoritative Provisioning Point (APP).

Architecture 122

Architecture Metadata Government Kafka 122

Cloudera

AUGUST 26, 2020

The Cloudera Connect Technology Certification program uses a well-documented process to test and certify our Independent Software Vendors’ (ISVs) integrations with our data platform. Informatica and Cloudera deliver a proven set of solutions for rapidly curating data into trusted information. Certified ISV Technology Partners.

Machine Learning 80

Machine Learning BI Big Data Data Warehouse 80

phData: Data Engineering

JULY 18, 2023

The Ultimate Modern Data Stack Migration Guide phData Marketing July 18, 2023 This guide was co-written by a team of data experts, including Dakota Kelley, Ahmad Aburia, Sam Hall, and Sunny Yan. Imagine a world where all of your data is organized, easily accessible, and routinely leveraged to drive impactful outcomes.

Data Warehouse 52

Data Warehouse Pipeline-centric Government Data 52

Monte Carlo

APRIL 20, 2023

Prioritize data reliability efforts Data teams that take a “boil the ocean” approach to data quality will be stretched too thin, ultimately failing in their task. For example, your ability to ingest data is virtually limitless, but your capacity to document it is not.

Data Warehouse 52

Data Warehouse BI Data Government 52

Snowflake

MARCH 23, 2023

Therefore, we are fully supportive of the above objectives as well as other similar strategic documents. This gives you full control over when Snowflake can access your data and the ability to revoke that access whenever you decide.

Government 69

Government Data Governance Certification Programming 69

AltexSoft

MARCH 30, 2023

Besides that, it’s fully compatible with various data ingestion and ETL tools. Unity catalog serves as a centralized metadata management and data governance layer for all Databricks data assets, including tables, files, dashboards, and machine learning models. Databricks two-plane infrastructure.

Scala 64

Scala Data Lake BI Google Cloud 64