Cloudera

JUNE 22, 2023

It ensures compliance with regulatory requirements while shifting non-sensitive data and workloads to the cloud. Its built-in intelligence automates common data management and data integration tasks, improves the overall effectiveness of data governance, and permits a holistic view of data across the cloud and on-premises environments.

Data Cleanse 66

Data Cleanse Data Governance Unstructured Data Cloud Storage 66

Knowledge Hut

SEPTEMBER 29, 2023

The Azure Data Engineer Certification test evaluates one's capacity for organizing and putting into practice data processing, security, and storage, as well as their capacity for keeping track of and maximizing data processing and storage.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Knowledge Hut

MARCH 28, 2024

Data Engineer Career: Overview Currently, with the enormous growth in the volume, variety, and veracity of data generated and the will of large firms to store and analyze their data, data management is a critical aspect of data science. That’s where data engineers are on the go.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

Edureka

FEBRUARY 7, 2023

An Azure Data Engineer is responsible for designing, implementing, and maintaining data management and data processing systems on the Microsoft Azure cloud platform. They work with large and complex data sets and are responsible for ensuring that data is stored, processed, and secured efficiently and effectively.

Data Engineering 52

Data Engineering Data Engineer Engineering Programming Language 52

Knowledge Hut

JANUARY 30, 2024

Use Case Essential for data preprocessing and creating usable datasets. Types of data you can extract Data extraction is a fundamental process in the realm of data management and analysis, encompassing the retrieval of specific, relevant information from various sources.

ETL Tools 52

ETL Tools Database-centric Data Mining Data Cleanse 52

AltexSoft

FEBRUARY 11, 2023

Data architecture is the organization and design of how data is collected, transformed, integrated, stored, and used by a company. Bad data management be like, Source: Makeameme Data architects are sometimes confused with other roles inside the data science team.

Data Architect 87

Data Architect Certification Generalist Big Data 87

Monte Carlo

APRIL 24, 2023

One weakness of the data lake architecture was the need to “bolt on” a data store such as Hive or Glue. This was largely overcome when Databricks announced their Unity Catalog feature which fully integrates those metastores along with other partnering data catalog and data security technologies.

Data Lake 52

Data Lake Google Cloud Data Warehouse AWS 52

AltexSoft

AUGUST 29, 2023

If your organization fits into one of these categories and you’re considering implementing advanced data management and analytics solutions, keep reading to learn how data lakes work and how they can benefit your business. Unstructured data sources. Data lake on AWS.

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

Silectis

JANUARY 3, 2021

BI (Business Intelligence) Strategies and systems used by enterprises to conduct data analysis and make pertinent business decisions. Big Data Large volumes of structured or unstructured data. Data Catalog An organized inventory of data assets relying on metadata to help with data management.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

Knowledge Hut

DECEMBER 29, 2023

A Data Engineer's primary responsibility is the construction and upkeep of a data warehouse. In this role, they would help the Analytics team become ready to leverage both structured and unstructured data in their model creation processes. They construct pipelines to collect and transform data from many sources.

Data Science 98

Data Science Data Mining Deep Learning Programming Language 98

Knowledge Hut

MARCH 26, 2024

Data Solutions Architect Role Overview: Design and implement data management, storage, and analytics solutions to meet business requirements and enable data-driven decision-making. Role Level: Mid to senior-level position requiring expertise in data architecture, database technologies, and analytics platforms.

Amazon Web Services 52

Amazon Web Services Google Cloud Computer Science AWS 52

Knowledge Hut

DECEMBER 26, 2023

The skills required to become a Business Intelligence Analyst are Database design, creation and maintenance, Data Mining and Analysis, Data Visualization tools like Tableau, Power BI, Data Security and Privacy, advanced SQL queries, ETL Framework, programming skills like Python, R, and familiarity with Cloud Technologies.

Data Science 97

Data Science BI Business Intelligence Data Mining 97

Knowledge Hut

APRIL 25, 2024

Data management The process of obtaining, storing, and using data in a cost-effective, effective, and secure way is known as data management. As businesses increasingly rely on intangible assets to create value, an efficient data management strategy is more important than ever.

Big Data 52

Big Data Data Analytics Manufacturing Retail 52

U-Next

SEPTEMBER 7, 2022

Maintaining communication with your staff, which necessitates correct employee data , is one approach to improve it. . What Is Employee Data Management? . Employee database management is a self-service system that allows employees to enter, update and assess their data. Improved Data Security and Sharing.

Data Management 52

Data Management Management Electronics Unstructured Data 52

Snowflake

OCTOBER 26, 2023

Gen AI can also analyze unstructured data sets, such as clinical notes, diagnostic imaging and recordings and provide evidence-based recommendations. An inconsistent data set introduces biases and inaccuracies, which can have profound consequences for clinicians or scientists using an AI model for patient health.

Healthcare 78

Healthcare Unstructured Data High Quality Data Medical 78

ProjectPro

FEBRUARY 21, 2023

Due to the enormous amount of data being generated and used in recent years, there is a high demand for data professionals, such as data engineers, who can perform tasks such as data management, data analysis, data preparation, etc. big data and ETL tools, etc.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

ProjectPro

JUNE 9, 2021

It means that a data engineer is the one who is responsible for gathering large amounts of data relevant to the organization and grouping and storing this data securely in an organized and easily accessible format. Data mining and data management skills are essential for a data engineer.nd

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

Cloudera

SEPTEMBER 12, 2022

Organizations don’t know what they have anymore and so can’t fully capitalize on it — the majority of data generated goes unused in decision making. And second, for the data that is used, 80% is semi- or unstructured. Both obstacles can be overcome using modern data architectures, specifically data fabric and data lakehouse.

Unstructured Data 72

Unstructured Data Data Lake Data Architecture Data 72

Knowledge Hut

JULY 24, 2023

Disruptive Database Technologies All existing and upcoming businesses are adopting innovative ways of handling data. With these technologies, businesses and organizations enhance their data management procedures, upgrade their knowledge, and make better decisions using data. Disruptive database technologies are on them.

Database 52

Database NoSQL Management Relational Database 52

ProjectPro

JANUARY 19, 2022

Earlier, people focused more on meaningful insights and analysis but realized that data management is just as important. As a result, the role of data engineer has become increasingly important in the technology industry. Data platform technologies on-premises and on the cloud are delivered and established by data engineers.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

Cloudera

NOVEMBER 17, 2022

We needed a solution to manage our data at scale, to provide greater experiences to our customers. With Cloudera Data Platform, we aim to unlock value faster and offer consistent data security and governance to meet this goal. HBL aims to double its banked customers by 2025. “

Banking 83

Banking Management Data Lake Professional Services 83

Edureka

FEBRUARY 9, 2023

The role of Azure Data Engineer is in high demand in the field of data management and analytics. As an Azure Data Engineer, you will be in charge of designing, building, deploying, and maintaining data-driven solutions that meet your organization’s business needs. What does an Azure Data Engineer Do?

Data Engineering 52

Data Engineering Data Engineer Engineering Data Mining 52

Knowledge Hut

JANUARY 25, 2024

The specific methods and steps for data cleaning may vary depending on the dataset, but its importance remains constant in the data science workflow. Why Is Data Cleaning So Important? These issues can stem from various sources such as human error, data scraping, or the integration of data from multiple sources.

Data Cleanse 52

Data Cleanse Datasets Data Preparation Data Science 52

Edureka

AUGUST 2, 2023

Data processing analysts are experts in data who have a special combination of technical abilities and subject-matter expertise. They are essential to the data lifecycle because they take unstructured data and turn it into something that can be used. What does a Data Processing Analysts do ?

Data Process 52

Data Process Process Data Cleanse Data Mining 52

Meltano

OCTOBER 5, 2022

We’ll explain what a data engineer is, what the job entails, and how to become a data engineer. Plus, we’ll explain how data engineers use Meltano, our DataOps platform, for efficient data management. What Is Data Engineering?

Data Engineering 52

Data Engineering Data Engineer Engineering Raw Data 52

Databand.ai

JULY 19, 2023

By loading the data before transforming it, ELT takes full advantage of the computational power of these systems. This approach allows for faster data processing and more flexible data management compared to traditional methods. Data governance also involves implementing data lineage and data cataloging.

Data Cleanse 52

Data Cleanse Raw Data Data Storage Data Warehouse 52

AltexSoft

MAY 12, 2023

In today’s data-driven world, organizations amass vast amounts of information that can unlock significant insights and inform decision-making. A staggering 80 percent of this digital treasure trove is unstructured data, which lacks a pre-defined format or organization. What is unstructured data?

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

Knowledge Hut

SEPTEMBER 22, 2023

The Azure Data Engineering Certificate is designed for data engineers and developers who wish to show that they are experts at creating and implementing data solutions using Microsoft Azure data services. To provide their customers with scalable solutions, businesses rely on the expertise and abilities of data engineers.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Knowledge Hut

SEPTEMBER 6, 2023

These certifications serve as concrete evidence of a professional's mastery, encompassing skills such as precise querying, data manipulation, database creation, and various data-related tasks. Skills acquired : Core data concepts. Concept of structured, semi-structured, and unstructured data. Data storage options.

Certification 52

Certification Database MongoDB MySQL 52

Meltano

OCTOBER 5, 2022

For this purpose, various parts of the data pipeline are automated to deliver analytics quickly and efficiently. DataOps uses a wide range of technologies such as machine learning, artificial intelligence, and various data management tools to streamline data processing, testing, preparing, deploying, and monitoring.

Engineering 52

Engineering Raw Data Data Pipeline ETL Tools 52

DataKitchen

APRIL 13, 2021

We have also included vendors for the specific use cases of ModelOps, MLOps, DataGovOps and DataSecOps which apply DataOps principles to machine learning, AI, data governance, and data security operations. . Atlan – A data workspace for data catalogs, quality, lineage, and exploration. Meta-Orchestration .

Consulting 123

Consulting Machine Learning Data Science Data Pipeline 123

U-Next

OCTOBER 26, 2022

Risk Management . AI assesses unstructured data about potentially dangerous actions or activities in an organization’s operations. Data Management, Privacy and Confidentiality, and Concentration Risks . There are multiple ways to find and post the data, like your own. Market volatility .

Finance 40

Finance Portfolio Banking Algorithm 40

AltexSoft

NOVEMBER 10, 2021

Well, there’s a new phenomenon in data management that received the name of a data lakehouse. The pun being obvious, there’s more to that than just a new term: Data lakehouses combine the best features of both data lakes and data warehouses and this post will explain this all. Data warehouse.

Architecture 52

Architecture Data Lake Data Warehouse Metadata 52

AltexSoft

NOVEMBER 23, 2021

Implementing data virtualization requires fewer resources and investments compared to building a separate consolidated store. Enhanced data security and governance. The information doesn’t need to be moved anywhere and access levels can be managed. Data virtualization architecture example. Connection layer.

Process 69

Process Data Lake Metadata Data Warehouse 69

ProjectPro

JULY 27, 2021

Relational Database Management Systems (RDBMS) Non-relational Database Management Systems Relational Databases primarily work with structured data using SQL (Structured Query Language). SQL works on data arranged in a predefined schema. Non-relational databases support dynamic schema for unstructured data.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

Cloudera

OCTOBER 7, 2021

The concept of the data mesh architecture is not entirely new; Its conceptual origins are rooted in the microservices architecture, its design principles (i.e., need to integrate multiple “point solutions” used in a data ecosystem) and organization reasons (e.g., difficulty to achieve cross-organizational governance model).

Architecture 123

Architecture Metadata Government Kafka 123

Knowledge Hut

DECEMBER 13, 2023

Big Data startups compete for market share with the blue-chip giants that dominate the business intelligence software market. This article will discuss the top big data consulting companies , big data marketing companies , big data management companies and the biggest data analytics companies in the world.

Big Data 52

Big Data Consulting Hadoop Amazon Web Services 52