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?

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52

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

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

Knowledge Hut

SEPTEMBER 26, 2023

We as Azure Data Engineers should have extensive knowledge of data modelling and ETL (extract, transform, load) procedures in addition to extensive expertise in creating and managing data pipelines, data lakes, and data warehouses. Using scripts, data engineers ought to be able to automate routine tasks.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Knowledge Hut

JUNE 20, 2023

Languages Python, SQL, Java, Scala R, C++, Java Script, and Python Tools Kafka, Tableau, Snowflake, etc. Skills A data engineer should have good programming and analytical skills with big data knowledge. The ML engineers act as a bridge between software engineering and data science.

Machine Learning 52

Machine Learning Data Engineering Data Engineer Engineering 52

ProjectPro

FEBRUARY 8, 2023

Do ETL and data integration activities seem complex to you? AWS Glue is here to put an end to all your worries! Read this blog to understand everything about AWS Glue that makes it one of the most popular data integration solutions in the industry. Did you know the global big data market will likely reach $268.4

AWS 98

AWS Scala Metadata Data Lake 98

Edureka

JUNE 1, 2023

This is where AWS Data Analytics comes into action, providing businesses with a robust, cloud-based data platform to manage, integrate, and analyze their data. In this blog, we’ll explore the world of Cloud Data Analytics and a real-life application of AWS Data Analytics. Why AWS Data Analytics?

AWS 52

AWS Data Analytics Cloud Amazon Web Services 52

ProjectPro

APRIL 20, 2017

The collection of these projects on Hadoop and Spark will help professionals master the big data and Hadoop ecosystem concepts learnt during their hadoop training. Problem Statement In this Hadoop project, you can analyze bitcoin data and implement a data pipeline through Amazon Web Services ( AWS ) Cloud.

Hadoop 40

Hadoop Big Data Coding Project 40

Edureka

FEBRUARY 9, 2023

Data Ingestion and Transformation: Candidates should have experience with data ingestion techniques, such as bulk and incremental loading, as well as experience with data transformation using Azure Data Factory. SQL is also an essential skill for Azure Data Engineers.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

Knowledge Hut

MARCH 27, 2024

You can check out the Big Data Certification Online to have an in-depth idea about big data tools and technologies to prepare for a job in the domain. To get your business in the direction you want, you need to choose the right tools for big data analysis based on your business goals, needs, and variety.

Big Data 52

Big Data Data Analytics MongoDB Big Data Tools 52

ProjectPro

NOVEMBER 14, 2015

Hadoop ecosystem has a very desirable ability to blend with popular programming and scripting platforms such as SQL, Java , Python, and the like which makes migration projects easier to execute. From Data Engineering Fundamentals to full hands-on example projects , check out data engineering projects by ProjectPro 2.

Hadoop 52

Hadoop Project Big Data Healthcare 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

FEBRUARY 24, 2016

Still, the job role of a data scientist has now also filtered down to non-tech companies like GAP, Nike, Neiman Marcus, Clorox, and Walmart. These companies are looking to hire the brightest professionals with expertise in Math, Statistics, SQL, Hadoop, Java, Python, and R skills for their own data science teams.

Hadoop 40

Hadoop Data Science Computer Science R (Programming) 40

Big Data Tools

SEPTEMBER 6, 2021

Now it has added support for having multiple AWS regions for underlying buckets. Even if a meteorite hits your data center, your big data is still going to be safe! Tools sqlglot – I often found myself digging the web for specific SQL dialect details. Should I backtick the identifiers here?

Data Engineering 52

Data Engineering Data Engineer Engineering Big Data Tools 52

ProjectPro

SEPTEMBER 26, 2021

Build an Awesome Job Winning Data Engineering Projects Portfoli o Technical Skills Required to Become a Big Data Engineer Database Systems: Data is the primary asset handled, processed, and managed by a Big Data Engineer. You must have good knowledge of the SQL and NoSQL database systems.

Big Data 52

Big Data 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

Big Data Tools

SEPTEMBER 6, 2021

Now it has added support for having multiple AWS regions for underlying buckets. Even if a meteorite hits your data center, your big data is still going to be safe! Tools sqlglot – I often found myself digging the web for specific SQL dialect details. Should I backtick the identifiers here?

Data Engineering 40

Data Engineering Data Engineer Engineering Big Data Tools 40

Edureka

FEBRUARY 9, 2023

In this blog on “Azure data engineer skills”, you will discover the secrets to success in Azure data engineering with expert tips, tricks, and best practices Furthermore, a solid understanding of big data technologies such as Hadoop, Spark, and SQL Server is required.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Mining 52

ProjectPro

AUGUST 11, 2021

Data warehouses store highly transformed, structured data that is preprocessed and designed to serve a specific purpose. Data is generally not loaded into a data warehouse unless a use case has been defined for the data. Data from data warehouses is queried using SQL.

Data Lake 52

Data Lake Data Warehouse Cloud Hadoop 52

ProjectPro

JANUARY 31, 2023

The end of a data block points to the location of the next chunk of data blocks. DataNodes store data blocks, whereas NameNodes store these data blocks. Learn more about Big Data Tools and Technologies with Innovative and Exciting Big Data Projects Examples. Steps for Data preparation.

Big Data 52

Big Data Hadoop AWS Relational Database 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. Data engineers must thoroughly understand programming languages such as Python, Java, or Scala.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

Knowledge Hut

MARCH 5, 2024

Singapore has a thriving technical market that has been on the lookout for data engineers. Top MNCs in Singapore are hiring Data Engineers and offering exciting salary packages. Data engineers also analyze the kind of data that should be retrieved and stored.

Data Engineering 52

Data Engineering Data Engineer Engineering Education 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.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 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

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

JUNE 29, 2021

Redis is a no-SQL database. Assume your brokers are hosted on AWS EC2. Companies like Uber, PayPal, Spotify, Goldman Sachs, Tinder, Pinterest, and Tumbler also use Kafka stream processing and message passing features and claim Kafka technology to be one of the most popular big data tools in the world.

Kafka 40

Kafka Bytes Big Data Java 40

ProjectPro

APRIL 1, 2017

The global hadoop market reports highlight the key hadoop vendors in the market by 2020 as Cloudera, MapR, Hortonworks, AWS, CISCO, Datameer, IBM,Microsoft, The report as well unveils hadoop market growth by 2020 covering different parameters like challenges, trends and various factors driving hadoop market growth. times faster and upto 30.4

Hadoop 40

Hadoop Data Lake Electronics Big Data 40