Knowledge Hut

NOVEMBER 2, 2023

Azure Data Ingestion Pipeline Create an Azure Data Factory data ingestion pipeline to extract data from a source (e.g., Azure SQL Database, Azure Data Lake Storage). Data Aggregation Working with a sample of big data allows you to investigate real-time data processing, big data project design, and data flow.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

Big Data Tools

SEPTEMBER 6, 2021

For fans of open-source instruments, the most interesting change is support for the MaterializedPostgreSQL table engine, which lets you copy a whole Postgres table/database to ClickHouse with ease. Now it has added support for having multiple AWS regions for underlying buckets. ClickHouse v21.8 – This release of ClickHouse is massive.

Data Engineering 52

Data Engineering Data Engineer Engineering Big Data Tools 52

AltexSoft

FEBRUARY 11, 2023

Hands-on experience with a wide range of data-related technologies The daily tasks and duties of a data architect include close coordination with data engineers and data scientists. It also involves creating a visual representation of data assets. In some locations, this certification can be acquired online.

Data Architect 87

Data Architect Certification Generalist Big Data 87

Knowledge Hut

JUNE 23, 2023

You can simultaneously work on your skills, knowledge, and experience and launch your career in data engineering. Soft Skills You should have the right verbal and written communication skills required for a data engineer. Data warehousing to aggregate unstructured data collected from multiple sources.

Data Engineering 52

Data Engineering Data Engineer Engineering Non-relational Database 52

Edureka

FEBRUARY 9, 2023

Proficiency in programming languages: Knowledge of programming languages such as Python and SQL is essential for Azure Data Engineers. Familiarity with cloud-based analytics and big data tools: Experience with cloud-based analytics and big data tools such as Apache Spark, Apache Hive, and Apache Storm is highly desirable.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

Knowledge Hut

DECEMBER 26, 2023

They should know SQL queries, SQL Server Reporting Services (SSRS), and SQL Server Integration Services (SSIS) and a background in Data Mining and Data Warehouse Design. They are also responsible for improving the performance of data pipelines. In other words, they develop, maintain, and test Big Data solutions.

Data Science 97

Data Science BI Business Intelligence Data Mining 97

Knowledge Hut

SEPTEMBER 6, 2023

Problem-Solving Abilities: Many certification courses provide projects and assessments which require hands-on practice of big data tools which enhances your problem solving capabilities. Networking Opportunities: While pursuing big data certification course you are likely to interact with trainers and other data professionals.

Big Data 52

Big Data Certification Hadoop Scala 52

Big Data Tools

SEPTEMBER 6, 2021

For fans of open-source instruments, the most interesting change is support for the MaterializedPostgreSQL table engine, which lets you copy a whole Postgres table/database to ClickHouse with ease. Now it has added support for having multiple AWS regions for underlying buckets. ClickHouse v21.8 – This release of ClickHouse is massive.

Data Engineering 40

Data Engineering Data Engineer Engineering Big Data Tools 40

ProjectPro

JANUARY 31, 2023

Big Data is a collection of large and complex semi-structured and unstructured data sets that have the potential to deliver actionable insights using traditional data management tools. Big data operations require specialized tools and techniques since a relational database cannot manage such a large amount of data.

Big Data 52

Big Data Hadoop AWS Relational Database 52

Knowledge Hut

MARCH 5, 2024

Let us look at some of the functions of Data Engineers: They formulate data flows and pipelines Data Engineers create structures and storage databases to store the accumulated data, which requires them to be adept at core technical skills, like design, scripting, automation, programming, big data tools , etc.

Data Engineering 52

Data Engineering Data Engineer Engineering Education 52

WeCloudData

OCTOBER 19, 2021

Methodology In order to meet the technical requirements for recommender system development as well as other emerging data needs, the client has built a mature data pipeline through the use of cloud platforms like AWS in order to store user clickstream data, and Databricks in order to process the raw data.

Consulting 52

Consulting Systems NoSQL Raw Data 52

WeCloudData

OCTOBER 19, 2021

Methodology In order to meet the technical requirements for recommender system development as well as other emerging data needs, the client has built a mature data pipeline through the use of cloud platforms like AWS in order to store user clickstream data, and Databricks in order to process the raw data.

Consulting 52

Consulting Systems NoSQL Raw Data 52

ProjectPro

DECEMBER 7, 2021

The Importance of a Data Pipeline What is an ETL Data Pipeline? What is a Big Data Pipeline? Features of a Data Pipeline Data Pipeline Architecture How to Build an End-to-End Data Pipeline from Scratch? Consequently, data stored in various databases lead to data silos -- big data at rest.

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52

ProjectPro

AUGUST 24, 2021

Salary of Data Engineers Data Engineering Tools Skills Required to Become a Data Engineer Responsibilities of a Data Engineer FAQS on Data Engineering Projects Data Engineering Projects List There are a few data-related skills that most data engineering practitioners must possess.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

ProjectPro

SEPTEMBER 26, 2021

A Master’s degree in Computer Science, Information Technology, Statistics, or a similar field is preferred with 2-5 years of experience in Software Engineering/Data Management/Database handling is preferred at an intermediate level. You must have good knowledge of the SQL and NoSQL database systems.

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

Databand.ai

DECEMBER 13, 2022

He also has more than 10 years of experience in big data, being among the few data engineers to work on Hadoop Big Data Analytics prior to the adoption of public cloud providers like AWS, Azure, and Google Cloud Platform. He is also an AWS Certified Solutions Architect and AWS Certified Big Data expert.

Data Engineering 52

Data Engineering Data Engineer Engineering AWS 52

Edureka

FEBRUARY 9, 2023

This demonstrates the high demand for Microsoft Azure Data Engineers. Every year, Azure’s usage graph grows, bringing it closer to AWS. These businesses are transferring their data and servers from on-premises to the Azure Cloud. As long as there is data to process, data engineers will be in high demand.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Mining 52

Knowledge Hut

SEPTEMBER 26, 2023

The duties and responsibilities that a Microsoft Azure Data Engineer is required to carry out are all listed in this section: Data engineers provide and establish on-premises and cloud-based data platform technologies. Relational databases, nonrelational databases, data streams, and file stores are examples of data systems.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Knowledge Hut

SEPTEMBER 25, 2023

AWS Certified Data Analytics Specialty Introduction: Software engineers and data specialists who wish to showcase their data analytics expertise on the AWS platform can do so by earning the AWS Certified Data Analytics Specialty certification. It also makes you stand out from the competition.

Certification 52

Certification Business Analyst Big Data Data Analysis 52

ProjectPro

FEBRUARY 25, 2022

Well-equipped with data handling skills. Excellent knowledge of data structures, database management systems, and data modeling algorithms. Experience with using Big Data tools for a data science project deployment. Building and Optimizing end-to-end Data Science project solutions.

Deep Learning 52

Deep Learning Algorithm Machine Learning Data Science 52

Knowledge Hut

JUNE 20, 2023

This profile is more in demand in midsize and big businesses. Database-Centric Engineer: The implementation, upkeep, and populating of analytics databases are the responsibilities of a Database-Centric Engineer. This profile is mostly seen in big organizations when data gets shared across several databases.

Machine Learning 52

Machine Learning Data Engineering Data Engineer Engineering 52

ProjectPro

JANUARY 25, 2022

When it comes to data ingestion pipelines, PySpark has a lot of advantages. PySpark allows you to process data from Hadoop HDFS , AWS S3, and various other file systems. PySpark SQL and Dataframes A dataframe is a shared collection of organized or semi-structured data in PySpark.

Big Data 52

Big Data Data Process Process Kafka 52

ProjectPro

MAY 31, 2021

Ace your big data interview by adding some unique and exciting Big Data projects to your portfolio. This blog lists over 20 big data projects you can work on to showcase your big data skills and gain hands-on experience in big data tools and technologies.

Big Data 52

Big Data Coding Project Hadoop 52

ProjectPro

JULY 27, 2021

Top 100+ Data Engineer Interview Questions and Answers The following sections consist of the top 100+ data engineer interview questions divided based on big data fundamentals, big data tools/technologies, and big data cloud computing platforms. There is a large amount of data involved.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

ProjectPro

AUGUST 11, 2021

Data Warehouse Architecture The Data Warehouse Architecture essentially consists of the following layers: Source Layer: Data warehouses collect data from multiple, heterogeneous sources. Staging Area: Once the data is collected from the external sources in the source layer, the data has to be extracted and cleaned.

Data Lake 52

Data Lake Data Warehouse Cloud Hadoop 52

ProjectPro

JANUARY 19, 2022

This indicates that Microsoft Azure Data Engineers are in high demand. Azure's usage graph grows every year, bringing it closer to AWS. These companies are migrating their data and servers from on-premises to Azure Cloud. These companies are migrating their data and servers from on-premises to Azure Cloud.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

ProjectPro

APRIL 20, 2017

Clickstream data is captured in semi structured web log files that contain various data elements like data and timestamp, IP address of the visitor, visitor identification number , web browser information, device information, referral page info, destination URL, etc. Extracting data from APIs using Python.

Hadoop 40

Hadoop Big Data Coding Project 40

ProjectPro

NOVEMBER 30, 2021

Explore SQL Database Projects to Add them to Your Data Engineer Resume. A senior business analyst is often expected to possess knowledge of Big Data tools. Thus, you will find the projects described below rely on these tools. So, please refer to the source code links for help.

Business Analyst 52

Business Analyst Project Retail Datasets 52

ProjectPro

NOVEMBER 14, 2015

Data Migration RDBMSs were inefficient and failed to manage the growing demand for current data. This failure of relational database management systems triggered organizations to move their data from RDBMS to Hadoop. This data can be analysed using big data analytics to maximise revenue and profits.

Hadoop 52

Hadoop Project Big Data Healthcare 52

ProjectPro

JUNE 29, 2021

Redis is a no-SQL database. Kafka Connect is a tool provided by Apache Kafka to allow scalable and reliable streaming data to move between Kafka and other systems. It makes it easier to define connectors that are responsible for moving large collections of data in and out of Kafka.

Kafka 40

Kafka Bytes Big Data Java 40

ProjectPro

FEBRUARY 24, 2016

SQL, Machine Learning, Data Visualization , the know-how of big data tools like Hadoop or Spark, and Programming with Python, R, or Java are the most desirable skills employers are looking for and are willing to shell out big money for candidates with expertise in these skills.

Hadoop 40

Hadoop Data Science Computer Science R (Programming) 40