ProjectPro

FEBRUARY 21, 2023

Apache Spark developers should have a good understanding of distributed systems and big data technologies. A good understanding of big data technologies like Hadoop, HDFS, Hive, HBase is important to be able to integrate them with Apache Spark applications. Working knowledge of S3, Cassandra, or DynamoDB.

Scala 52

Scala Programming Language Java Hadoop 52

ProjectPro

SEPTEMBER 14, 2016

A lot of people who wish to learn hadoop have several questions regarding a hadoop developer job role - What are typical tasks for a Hadoop developer? How much java coding is involved in hadoop development job ? What day to day activities does a hadoop developer do? Table of Contents Who is a Hadoop Developer?

Hadoop 40

Hadoop Unstructured Data Java Big Data 40

ProjectPro

MARCH 10, 2016

Table of Contents LinkedIn Hadoop and Big Data Analytics The Big Data Ecosystem at LinkedIn LinkedIn Big Data Products 1) People You May Know 2) Skill Endorsements 3) Jobs You May Be Interested In 4) News Feed Updates Wondering how LinkedIn keeps up with your job preferences, your connection suggestions and stories you prefer to read?

Hadoop 40

Hadoop Big Data Data Analytics Big Data Ecosystem 40

ProjectPro

JUNE 17, 2016

You will need a complete 100% LinkedIn profile overhaul to land a top gig as a Hadoop Developer , Hadoop Administrator, Data Scientist or any other big data job role. Setting up and optimizing your LinkedIn profile to get noticed by recruiters in the big data space takes time. that are usually not present in a resume.

Hadoop 40

Hadoop Recruitment Big Data NoSQL 40

Knowledge Hut

SEPTEMBER 6, 2023

This influx of data is handled by robust big data systems which are capable of processing, storing, and querying data at scale. Big Data Frameworks : Familiarity with popular Big Data frameworks such as Hadoop, Apache Spark, Apache Flink, or Kafka are the tools used for data processing. through real-time projects and case studies.

Big Data 52

Big Data Certification Hadoop Scala 52

Knowledge Hut

NOVEMBER 2, 2023

An Azure Data Engineer is a professional who is in charge of designing, implementing, and maintaining data processing systems and solutions on the Microsoft Azure cloud platform. Learn how to aggregate real-time data using several big data tools like Kafka, Zookeeper, Spark, HBase, and Hadoop. Who is Azure Data Engineer?

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

Knowledge Hut

DECEMBER 26, 2023

It helps to understand concepts like abstractions, algorithms, data structures, security, and web development and familiarizes learners with many languages like C, Python, SQL, CSS, JavaScript, and HTML. Create a systematic, data-driven strategy for calculating predicted returns and risks for major asset classes and optimal portfolios.

Certification 95

Certification Java Google Cloud Education 95

ProjectPro

OCTOBER 31, 2016

Having complete diverse big data hadoop projects at ProjectPro, most of the students often have these questions in mind – “How to prepare for a Hadoop job interview?” ” “Where can I find real-time or scenario-based hadoop interview questions and answers for experienced?” were excluded.).

Hadoop 52

Hadoop Big Data Utilities NoSQL 52

ProjectPro

JULY 3, 2015

SAP is all set to ensure that big data market knows its hip to the trend with its new announcement at a conference in San Francisco that it will embrace Hadoop. What follows is an elaborate explanation on how SAP and Hadoop together can bring in novel big data solutions to the enterprise. Table of Contents How SAP Hadoop work together?

Hadoop 40

Hadoop Big Data Data Solutions Unstructured Data 40

Knowledge Hut

NOVEMBER 28, 2023

They also typically have strong experience with multiple programming languages and frameworks and can design and implement complex software systems. Machine Learning Engineer These developers specialize in creating and implementing machine learning models and algorithms.

Programming Language 52

Programming Language Amazon Web Services Computer Science Software Engineer 52

Knowledge Hut

JANUARY 24, 2024

Tool Proficiency: Utilizing a diverse set of tools and technologies, including R, Tableau, Python, Matlab, Hive, Impala, PySpark, Excel, Hadoop, SQL, and SAS, to manipulate and analyze data efficiently. Data scientists select appropriate algorithms, train models on the data, and fine-tune them for optimal performance.

Database-centric 52

Database-centric Data Science Machine Learning Datasets 52

ProjectPro

JANUARY 19, 2022

Data Engineering refers to creating practical designs for systems that can extract, keep, and inspect data at a large scale. Ability to demonstrate expertise in database management systems. Good knowledge of various machine learning and deep learning algorithms will be a bonus. What is Data Engineering?

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

Knowledge Hut

MARCH 19, 2024

You could add project management tools, version control systems, and communication tools to your managerial toolkit so that you can manage your team and projects efficiently. Improving data processing and retrieving algorithms. You need to learn about databases such as Apache, Hadoop, or Spark, as well as databases like SQL or NoSQL.

Software Engineer 52

Software Engineer Software Engineering Engineering Programming Language 52

Knowledge Hut

JANUARY 22, 2024

Picture yourself at the intersection of statistics and algorithms, where every line of code has the potential to unlock profound insights and reshape industries. The curriculum focuses on real-world applications of AI and ML for tasks like predictive modeling, image recognition, recommender systems etc.

Data Science 52

Data Science Certification Education Data Lake 52

ProjectPro

APRIL 2, 2015

Become a Hadoop Developer By Working On Industry Oriented Hadoop Projects When Target statistician Andrew Pole built a data mining algorithm which ran test after test analyzing the data, useful patterns emerged which showed that consumers as a whole exhibit similar purchase behaviors.

Retail 40

Retail Hadoop Big Data Data Mining 40

Knowledge Hut

FEBRUARY 27, 2023

Engineers work with Data Scientists to help make the most of the data they collect and have deep knowledge of distributed systems and computer science. Data engineering is all about building, designing, and optimizing systems for acquiring, storing, accessing, and analyzing data at scale. What is Data Engineering?

Data Engineering 52

Data Engineering Data Engineer Database-centric Pipeline-centric 52

ProjectPro

NOVEMBER 24, 2021

Access Job Recommendation System Project with Source Code So, tighten your seatbelts because we are about to start! Knowledge of machine learning algorithms and deep learning algorithms. Experience with Big data tools like Hadoop, Spark, etc. Table of Contents Is Data Science Hard to learn? Strong programming skills.

Data Science 52

Data Science Consulting Machine Learning Software Engineer 52

ProjectPro

JULY 23, 2021

Content Recommendation System 10. Blood Bank Management System 16. Orchestrate Redshift ETL using AWS Glue and Step Functions AWS Projects for Portfolio 17. Hybrid Recommendation System 21. AWS has exceptional flexibility to select the desired operating system, database, and other services. Custom Alexa Skills 12.

AWS 52

AWS Project Amazon Web Services Cloud Computing 52

Maxime Beauchemin

JANUARY 20, 2017

This discipline also integrates specialization around the operation of so called “big data” distributed systems, along with concepts around the extended Hadoop ecosystem, stream processing, and in computation at scale. This includes tasks like setting up and operating platforms like Hadoop/Hive/HBase, Spark, and the like.

Data Engineering 130

Data Engineering Data Engineer Engineering ETL Tools 130

ProjectPro

JULY 15, 2021

Top Cloud Computing Projects to Practice for 2023 Rural Banking by Cloud Computing This cloud project aims to develop a cloud-based banking system for rural areas wherein banking facilities and amenities are not up to the mark to offer ease of banking to the people residing in the rural areas.

Cloud Computing 40

Cloud Computing Cloud Project Banking 40

Databand.ai

DECEMBER 13, 2022

He has deep expertise in distributed systems, data engineering, API design, data integration from multiple sources, and machine learning. On LinkedIn, he focuses largely on Spark, Hadoop, big data, big data engineering, and data engineering. You can also watch the video recording.

Data Engineering 52

Data Engineering Data Engineer Engineering AWS 52

ProjectPro

APRIL 17, 2015

This articles explores four latest trends in big data analytics that are driving implementation of cutting edge technologies like Hadoop and NoSQL. Datafication is not a new trend but the speed with which data is being generated in real time operational analytics systems is breath-taking.

Big Data 52

Big Data Data Analysis NoSQL Deep Learning 52

Knowledge Hut

DECEMBER 26, 2023

Following an MBA in finance, the best career options after BCom include those as a finance manager, consultant, financial analyst, credit risk manager , portfolio manager, and treasurer. To design and research prospective organizational challenge solutions, including system and process changes, they acquire and analyze data.

Banking 52

Banking Insurance Finance Cloud Computing 52

ProjectPro

AUGUST 6, 2015

Let’s take a look at how Amazon uses Big Data- Amazon has approximately 1 million hadoop clusters to support their risk management, affiliate network, website updates, machine learning systems and more. ” Interesting? 81% of the organizations say that Big Data is a top 5 IT priority.

Big Data 52

Big Data Hadoop Insurance Media 52

ProjectPro

JULY 28, 2021

Data analytics combined with machine learning algorithms and Artificial Intelligence (AI) technologies predict the data patterns and trends in these applications, and there is no surprise that Google has mastered it. Google uses a levelling system to decide the compensation of the Data Scientists and the promotions of its employees.

Recruitment 40

Recruitment Data Science Machine Learning NoSQL 40

AltexSoft

JUNE 7, 2021

Hadoop and Spark are the two most popular platforms for Big Data processing. To come to the right decision, we need to divide this big question into several smaller ones — namely: What is Hadoop? To come to the right decision, we need to divide this big question into several smaller ones — namely: What is Hadoop? scalability.

Big Data Tools 98

Big Data Tools Hadoop Big Data Database-centric 98

ProjectPro

JUNE 2, 2015

Before organizations rely on data driven decision making, it is important for them to have a good processing power like Hadoop in place for data processing. Having done these the capability to manage these systems effectively helps achieve business success. May 6, UK IT News V3.co.uk

Big Data 40

Big Data Hadoop Banking Retail 40

ProjectPro

APRIL 27, 2015

Big data startups are leveraging recommendation systems by making sense of big data-predicting user intentions and rendering services and products people are looking for before they even know that they need them. Spotify has one of the biggest Hadoop clusters with 694 heterogeneous nodes running close to 7000 jobs in a day.

Big Data 40

Big Data Retail Hadoop Unstructured Data 40

ProjectPro

MAY 20, 2015

Paxata has been recognized as one of the best big data and business analytics companies to work for in 2015 for its smart work environment that balances fun such as- weekly NERF gun matches, demo bake-offs , with engineering projects based on Apache Spark and Hadoop ,cloud delivery, distributed computing and other modern user interfaces.

Big Data 40

Big Data Hadoop Business Analyst Unstructured Data 40

Christophe Blefari

MARCH 11, 2023

First Mark is a NYC VC, in their portfolio they have Dataiku, ClickHouse and Astronomer among other tech or B2C companies. There are many backlashes AI companies will have to navigate through: impact on job market, algorithm bias, disinformation, hallucination—a word for AI is often wrong, and lastly AI is just boring.

Banking 130

Banking Data Machine Learning Insurance 130

Knowledge Hut

DECEMBER 21, 2023

For a data engineer career, you must have knowledge of data storage and processing technologies like Hadoop, Spark, and NoSQL databases. Data Engineer / Big Data Engineer Data engineers create and test flexible Big Data ecosystems for businesses to run their algorithms on reliable and well-optimized data platforms.

Data Engineering 52

Data Engineering Data Engineer Engineering MongoDB 52

ProjectPro

MARCH 15, 2016

Hadoop is beginning to live up to its promise of being the backbone technology for Big Data storage and analytics. Companies across the globe have started to migrate their data into Hadoop to join the stalwarts who already adopted Hadoop a while ago. All Data is not Big Data and might not require a Hadoop solution.

Hadoop 40

Hadoop Retail Healthcare Banking 40

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

AUGUST 24, 2021

Build a Job Winning Data Engineer Portfolio with Solved End-to-End Big Data Projects 1) Smart IoT Infrastructure In this IoT project , you will be discussing a general architecture for building smart IoT infrastructure. Learn how to process Wikipedia archives using Hadoop and identify the lived pages in a day.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

ProjectPro

MAY 11, 2015

Is Hadoop easy to learn? For most professionals who are from various backgrounds like - Java, PHP,net, mainframes, data warehousing, DBAs, data analytics - and want to get into a career in Hadoop and Big Data, this is the first question they ask themselves and their peers. Table of Contents How much Java is required for Hadoop?

Java 40

Java Hadoop Programming Language Bytes 40

ProjectPro

OCTOBER 27, 2021

The huge volumes of financial data have helped the finance industry streamline processes, reduce investment risks, and optimize investment portfolios for clients and companies. There is a wide range of open-source machine learning algorithms and tools that fit exceptionally with financial data. Our data is imbalanced.

Finance 52

Finance Machine Learning Project Banking 52

ProjectPro

AUGUST 11, 2016

When people talk about big data analytics and Hadoop, they think about using technologies like Pig, Hive , and Impala as the core tools for data analysis. R and Hadoop combined together prove to be an incomparable data crunching tool for some serious big data analytics for business. Table of Contents Why use R on Hadoop?

Hadoop 40

Hadoop Big Data R (Programming) Programming Language 40