Monte Carlo

JANUARY 5, 2024

Data lakehouse architecture combines the benefits of data warehouses and data lakes, bringing together the structure and performance of a data warehouse with the flexibility of a data lake. The data lakehouse’s semantic layer also helps to simplify and open data access in an organization.

Architecture 52

Architecture Data Lake Metadata Unstructured Data 52

Monte Carlo

JANUARY 5, 2024

Data lakehouse architecture combines the benefits of data warehouses and data lakes, bringing together the structure and performance of a data warehouse with the flexibility of a data lake. The data lakehouse’s semantic layer also helps to simplify and open data access in an organization.

Architecture 52

Architecture Data Lake Metadata Unstructured Data 52

Knowledge Hut

NOVEMBER 2, 2023

My early AWS cloud practitioner projects taught me how to deploy systems, optimize performance and costs, and ensure security and dependability. Setting Up a Relational Database with Amazon RDS Difficulty Level: Intermediate AWS cloud practitioner applications can create relational databases using the Amazon Relational Database Service (RDS).

AWS 52

AWS Coding Cloud Project 52

Team Data Science

FEBRUARY 23, 2021

Companies can now make data useful to elevate decision making and to optimise products and processes. It's currently easy to acquire data strategically. Ultimately, companies are able to systematically analyse examples of customer journeys and internal processes.

Business Intelligence 130

Business Intelligence Food Unstructured Data Relational Database 130

Knowledge Hut

SEPTEMBER 26, 2023

Because we have to often collaborate with cross-functional teams and are in charge of translating the requirements of data scientists and analysts into technological solutions, Azure Data Engineers need excellent problem-solving and communication skills in addition to technical expertise. What Does an Azure Data Engineer Do?

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Precisely

MARCH 9, 2023

We will also address some of the key distinctions between platforms like Hadoop and Snowflake, which have emerged as valuable tools in the quest to process and analyze ever larger volumes of structured, semi-structured, and unstructured data. It is often used as a foundation for enterprise data lakes.

Data Lake 59

Data Lake Data Warehouse Hadoop Raw Data 59

Knowledge Hut

JUNE 23, 2023

Data engineers make a tangible difference with their presence in top-notch industries, especially in assisting data scientists in machine learning and deep learning. You should have the expertise to collect data, conduct research, create models, and identify patterns.

Data Engineering 52

Data Engineering Data Engineer Engineering Non-relational Database 52

Knowledge Hut

MAY 31, 2023

However, managing data can be a challenging task, especially when dealing with large amounts of information. This is where database management systems come in handy. A database management system (DBMS) is a software system that helps organize, store and manage information efficiently.

Database 52

Database Coding MongoDB Project 52

Knowledge Hut

JANUARY 30, 2024

Whether you're a seasoned data scientist or just stepping into the world of data, come with me as we unravel the secrets of data extraction and learn how it empowers us to unleash the full potential of data. What is data extraction? Use Case Essential for data preprocessing and creating usable datasets.

ETL Tools 52

ETL Tools Database-centric Data Mining Data Cleanse 52

Knowledge Hut

NOVEMBER 28, 2023

The contemporary world experiences a huge growth in cloud implementations, consequently leading to a rise in demand for data engineers and IT professionals who are well-equipped with a wide range of application and process expertise. Work closely with software engineers and data scientists. Technical Data Engineer Skills 1.Python

Data Engineering 52

Data Engineering Data Engineer Engineering Generalist 52

AltexSoft

AUGUST 29, 2023

It is a versatile platform for exploring, refining, and analyzing petabytes of information that continually flow in from various data sources. Who needs a data lake? If the intricacies of big data are becoming too much for your existing systems to handle, a data lake might be the solution you’re seeking.

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

Silectis

JANUARY 3, 2021

If you’re new to data engineering or are a practitioner of a related field, such as data science, or business intelligence, we thought it might be helpful to have a handy list of commonly used terms available for you to get up to speed. Big Data Large volumes of structured or unstructured data.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

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. Why Should You Get an Azure Data Engineer Certification?

Certification 52

Certification Data Engineering Data Engineer Engineering 52

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

SEPTEMBER 28, 2023

It involves crafting and cultivating cloud environments, adeptly managing and optimizing these systems, discerning the precise functionality required, guiding seamless cloud migration efforts, and confidently navigating high-stakes scenarios, among other skills. You must set up security-related procedures before architecting any task.

AWS 52

AWS Cloud Computing Architecture Utilities 52

AltexSoft

FEBRUARY 11, 2023

The daily tasks of a data architect require more of a strategic thinking, while a data engineer’s workload is more about building the software infrastructure, which are technical tasks. By the way, we have a video dedicated to the data engineering working principles. Feel free to enjoy it. Problem-solving skills.

Data Architect 87

Data Architect Certification Generalist Big Data 87

ProjectPro

DECEMBER 7, 2021

Data Pipeline Tools AWS Data Pipeline Azure Data Pipeline Airflow Data Pipeline Learn to Create a Data Pipeline FAQs on Data Pipeline What is a Data Pipeline? A pipeline may include filtering, normalizing, and data consolidation to provide desired data.

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52

Knowledge Hut

APRIL 3, 2023

Finally, the roadmap highlights the importance of understanding security concepts and practices to ensure the safety and integrity of data and systems. Additionally, computer science fundamentals are applicable to a wide range of fields beyond software development, such as artificial intelligence, data science, and cybersecurity.

Programming Language 52

Programming Language Computer Science Portfolio PostgreSQL 52

Cloudera

SEPTEMBER 7, 2018

This conventional approach also employs a Relational Database Management System (RDBMS) technology, which, however, falls short in meeting current business demands for scalable, flexible and cost-efficient solutions to insider threat.

Machine Learning 49

Machine Learning Unstructured Data Portfolio Relational Database 49

Knowledge Hut

APRIL 12, 2023

The Service Fabric service significantly simplifies the development process of microservices, making it more accessible to developers. Azure DNS: Azure DNS, on the other hand, allows you to host your DNS domains or system domains on the Azure cloud, making it easy to manage and maintain your domains.

Cloud Computing 52

Cloud Computing Amazon Web Services Certification Cloud 52

ProjectPro

FEBRUARY 21, 2023

AWS Certification demonstrates to potential employers that you possess the technical know-how to conduct complex data analytics tasks using fundamental AWS data analytics services like Amazon EMR , Redshift , and QuickSight. The certification gives you the technical know-how to work with cloud computing systems.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

ProjectPro

APRIL 2, 2018

Using the company’s iWay DataMigrator, Information Builders customers can pull data into Jethro irrespective of where the data is stored. Then through the IB’s connector, users can index, build dynamic cubes and query for structured as well unstructured data resulting faster response time.

Hadoop 40

Hadoop Data Lake Relational Database BI 40

ProjectPro

JULY 13, 2015

Apache Hadoop is the framework of choice for JPMorgan - not only to support the exponentially growing data size but more importantly for the fast processing of complex unstructured data. JP Morgan has massive amounts of data on what its customers spend and earn.

Hadoop 52

Hadoop Big Data Data Analytics Banking 52

ProjectPro

APRIL 1, 2016

NetworkAsia.net Hadoop is emerging as the framework of choice while dealing with big data. It can no longer be classified as a specialized skill, rather it has to become the enterprise data hub of choice and relational database to deliver on its promise of being the go to technology for Big Data Analytics.

Hadoop 52

Hadoop BI Big Data Big Data Tools 52

Knowledge Hut

JULY 24, 2023

The future of SQL (Structured Query Language) is a scalding subject among professionals in the data-driven world. As data generation continues to skyrocket, the demand for real-time decision-making, data processing, and analysis increases. According to recent studies, the global database market will grow from USD 63.4

SQL 52

SQL Database Process NoSQL 52

ProjectPro

SEPTEMBER 26, 2014

In a short span of time, Apache Hadoop, a technology that supports big data and analytics has witnessed a remarkable interest from BI professionals. This is essentially due to the fact that Hadoop has established its efficacy in handling the biggest challenges of the BI processes.

Business Intelligence 40

Business Intelligence Hadoop BI Relational Database 40

AltexSoft

DECEMBER 23, 2022

Integrating data from numerous, disjointed sources and processing it to provide context provides both opportunities and challenges. One of the ways to overcome challenges and gain more opportunities in terms of data integration is to build an ELT (Extract, Load, Transform) pipeline. Order of process phases. What is ELT?

Process 52

Process Building Raw Data Data Lake 52

ProjectPro

OCTOBER 15, 2014

There is no simple way to compare both Pig and Hive without digging deep into both in greater detail as to how they help in processing large amounts of data. What is Big Data and Hadoop? Generally data to be stored in the database is categorized into 3 types namely Structured Data, Semi Structured Data and Unstructured Data.

Hadoop 52

Hadoop Unstructured Data Java SQL 52

ProjectPro

NOVEMBER 14, 2015

With Big Data came a need for programming languages and platforms that could provide fast computing and processing capabilities. Data Integration 3.Scalability Specialized Data Analytics 7.Streaming Owned by Apache Software Foundation, Apache Spark is an open-source data processing framework. Scalability 4.Link

Hadoop 52

Hadoop Project Big Data Healthcare 52

ProjectPro

MAY 13, 2015

MongoDB NoSQL Database Certification- Hottest IT Certifications of 2015 According to Dice, the number of NoSQL jobs for people experienced with unstructured database systems like MongoDB has increased by 54% over last year. How to prepare for MongoDB Certification?

NoSQL 40

NoSQL MongoDB Certification Database 40

ProjectPro

JUNE 6, 2015

BI is a complete environment –we have Data Architecture, we have this staging area, data warehouse , data mart. But there is also Data Quality. Data Quality can be across all the companies. There is Data Quality inside the BI as a lot of data is being processed inside the company.

Business Intelligence 40

Business Intelligence Big Data BI Hadoop 40

ProjectPro

SEPTEMBER 11, 2015

Skills Required to Learn Hadoop - Linux Hadoop needs to be setup in a Linux based operating system preferable Ubuntu [1].The or also through your own pseudo distributed hadoop cluster- 1) Command for Uploading a file in HDFS Hadoop fs –put This command is used to upload a file from the local file system to HDFS.

Hadoop 52

Hadoop Java BI Big Data 52

DareData

JANUARY 30, 2023

Data Ingestion Data ingestion refers to the process of importing data into a system or database for storage and analysis. This can involve extracting data from various sources, such as files, operational databases, APIs or IoT data, and transforming it into a format that is suitable for storage and analysis.

Data Engineering 52

Data Engineering Data Engineer NoSQL Engineering 52

Knowledge Hut

DECEMBER 26, 2023

Data Engineering is typically a software engineering role that focuses deeply on data – namely, data workflows, data pipelines, and the ETL (Extract, Transform, Load) process. This is one of the major reasons behind the popularity of data science. They are also accountable for communicating data trends.

Data Engineering 98

Data Engineering Data Engineer Engineering Pipeline-centric 98

AltexSoft

JUNE 26, 2023

Data collection as the first step in the decision-making process, driven by machine learning. In machine learning projects, data collection precedes such stages as data cleaning and preprocessing, model training and testing, and making decisions based on a model’s output. Data engineering explained in 14 minutes.

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52

U-Next

SEPTEMBER 7, 2022

Structuring data refers to converting unstructured data into tables and defining data types and relationships based on a schema. The data lakes store data from a wide variety of sources, including IoT devices, real-time social media streams, user data, and web application transactions.

Data Lake 52

Data Lake Data Warehouse Unstructured Data Amazon Web Services 52

Knowledge Hut

JULY 24, 2023

NoSQL Databases NoSQL databases are non-relational databases (that do not store data in rows or columns) more effective than conventional relational databases (databases that store information in a tabular format) in handling unstructured and semi-structured data.

Database 52

Database NoSQL Management Relational Database 52