ProjectPro

FEBRUARY 6, 2023

This blog discusses the skill requirements, roles and responsibilities, and salary outlook for a data analytics engineer to help you make the right decision. They are responsible for data transformation, testing, and documentation. The data analytics engineer serves as a bridge between data engineers and data analysts.

Data Analytics 52

Data Analytics Engineering IT Computer Science 52

Knowledge Hut

NOVEMBER 17, 2023

Here is a step-by-step guide on how to become an Azure Data Engineer: 1. Understanding SQL You must be able to write and optimize SQL queries because you will be dealing with enormous datasets as an Azure Data Engineer. You should be able to create scalable, effective programming that can work with big datasets.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

Knowledge Hut

DECEMBER 26, 2023

These skills are essential to collect, clean, analyze, process and manage large amounts of data to find trends and patterns in the dataset. The dataset can be either structured or unstructured or both. In this article, we will look at some of the top Data Science job roles that are in demand in 2024.

Data Science 97

Data Science BI Business Intelligence Data Mining 97

Data Science Blog: Data Engineering

JULY 4, 2022

Already familiar with the term big data, right? Despite the fact that we would all discuss Big Data, it takes a very long time before you confront it in your career. Apache Spark is a Big Data tool that aims to handle large datasets in a parallel and distributed manner.

Hadoop 52

Hadoop Big Data Datasets Scala 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

ProjectPro

FEBRUARY 16, 2023

It also covers core concepts, including in-memory caching, interactive shells, Spark RDDs, and distributed datasets. Big Data Analytics with Spark by Mohammed Guller This book is an ideal fit if you're looking for fundamental analytics and machine learning with Spark.

Big Data 52

Big Data Scala Machine Learning Hadoop 52

Cloudera

SEPTEMBER 2, 2021

Traditional scheduling solutions used in big data tools come with several drawbacks. The tests ran for 3 hours on a 1 TB TPC-DS dataset queried from Hive. That’s why turning to traditional resource scheduling is not sufficient. We chose 5 random TPC-DS queries for these CDE jobs: query number 26, 36, 40, 46 and 48.

Data Engineering 81

Data Engineering Data Engineer Engineering Utilities 81

Knowledge Hut

JUNE 23, 2023

Data warehousing to aggregate unstructured data collected from multiple sources. Data architecture to tackle datasets and the relationship between processes and applications. You should be well-versed in Python and R, which are beneficial in various data-related operations.

Data Engineering 52

Data Engineering Data Engineer Engineering Non-relational Database 52

ProjectPro

FEBRUARY 16, 2023

Imagine you have a large dataset and are required to perform a complex search that requires aggregating and analyzing data across multiple fields. You can start by breaking down the search into smaller, manageable steps and using sub searches or summary indexing to aggregate the data. How would you approach this task?

Big Data 52

Big Data Big Data Tools Cloud Data 52

AltexSoft

JUNE 7, 2021

Apache Hadoop is an open-source framework written in Java for distributed storage and processing of huge datasets. The keyword here is distributed since the data quantities in question are too large to be accommodated and analyzed by a single computer. A powerful Big Data tool, Apache Hadoop alone is far from being almighty.

Big Data Tools 98

Big Data Tools Hadoop Big Data Database-centric 98

Knowledge Hut

JULY 27, 2023

An expert who uses the Hadoop environment to design, create, and deploy Big Data solutions is known as a Hadoop Developer. They are skilled in working with tools like MapReduce, Hive, and HBase to manage and process huge datasets, and they are proficient in programming languages like Java and Python.

Hadoop 52

Hadoop Programming Language Banking Scala 52

ProjectPro

DECEMBER 7, 2021

A pipeline may include filtering, normalizing, and data consolidation to provide desired data. It can also consist of simple or advanced processes like ETL (Extract, Transform and Load) or handle training datasets in machine learning applications. Using this data pipeline, you will analyze the 2021 Olympics dataset.

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52

ProjectPro

FEBRUARY 5, 2022

And, when one uses statistical tools over these data points to estimate their values in the future, it is called time series analysis and forecasting. The statistical tools that assist in forecasting a time series are called the time series forecasting models. How do you do a time series analysis?

Deep Learning 52

Deep Learning Datasets Python Machine Learning 52

AltexSoft

FEBRUARY 11, 2023

Let’s take an example of healthcare data which contains sensitive details called protected health information (PHI) and falls under the HIPAA regulations. 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.

Data Architect 87

Data Architect Certification Generalist Big Data 87

ProjectPro

NOVEMBER 24, 2021

Experience in handling large datasets and drawing meaningful conclusions from them. Experience with Big data tools like Hadoop, Spark, etc. Now, all these skills usually give off the idea to most people that data science is a hard job. Strong statistical and mathematical skills. Strong programming skills.

Data Science 52

Data Science Consulting Machine Learning Software Engineer 52

Knowledge Hut

JUNE 20, 2023

The ML engineers act as a bridge between software engineering and data science. They take raw data from the pipelines and enhance programming frameworks using the big data tools that are now accessible. They transform unstructured data into scalable models for data science.

Machine Learning 52

Machine Learning Data Engineering Data Engineer Engineering 52

Databand.ai

DECEMBER 13, 2022

With more than five years of experience as a data engineer, Sarah currently works at Zwift, where she leads a team of vendors to build data pipelines and deploy machine learning models and owns e-commerce datasets to handle data quality, data contracts, and resolve pipeline downtime.

Data Engineering 52

Data Engineering Data Engineer Engineering AWS 52

ProjectPro

APRIL 20, 2017

These Hadoop projects come with detailed understanding of the problem statement, source code, dataset and a video tutorial explaining the entire solution. Users will work on the Million Song Dataset released by the Columbia University’s Lab for Recognition and Organization of Speech and Audio.

Hadoop 40

Hadoop Big Data Coding Project 40

Knowledge Hut

SEPTEMBER 25, 2023

In just five months, you can learn everything you need to know to launch a lucrative career in data analysis. The credential proves the holder's ability to create and scale data models, clean datasets, and use an analytics methodology that yields insightful data analysis.

Certification 52

Certification Business Analyst Big Data Data Analysis 52

ProjectPro

NOVEMBER 14, 2015

Data Integration 3.Scalability Specialized Data Analytics 7.Streaming We need to analyze this data and answer a few queries such as which movies were popular etc. Following this, we spring up the Azure spark cluster to perform transformations on the data using Spark SQL. Scalability 4.Link Link Prediction 5.Cloud

Hadoop 52

Hadoop Project Big Data Healthcare 52

ProjectPro

MARCH 7, 2016

If your career goals are headed towards Big Data, then 2016 is the best time to hone your skills in the direction, by obtaining one or more of the big data certifications. Acquiring big data analytics certifications in specific big data technologies can help a candidate improve their possibilities of getting hired.

Big Data 40

Big Data Certification Hadoop Big Data Skills 40

ProjectPro

AUGUST 24, 2021

And if you are aspiring to become a data engineer, you must focus on these skills and practice at least one project around each of them to stand out from other candidates. Explore different types of Data Formats: A data engineer works with various dataset formats like.csv,josn,xlx, etc.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

Big Data Tools

SEPTEMBER 6, 2021

Here’s what’s happening in data engineering right now. But it is incredibly hard to determine whether a dataset is ethical, unbiased, and not skewed manually. Given this is a hot topic and there’s a boatload of money in it, you would expect there to be a wealth of tools to verify data ethics… but you’d be wrong.

Data Engineering 52

Data Engineering Data Engineer Engineering Big Data Tools 52

Big Data Tools

SEPTEMBER 6, 2021

Here’s what’s happening in data engineering right now. But it is incredibly hard to determine whether a dataset is ethical, unbiased, and not skewed manually. Given this is a hot topic and there’s a boatload of money in it, you would expect there to be a wealth of tools to verify data ethics… but you’d be wrong.

Data Engineering 40

Data Engineering Data Engineer Engineering Big Data Tools 40

ProjectPro

DECEMBER 14, 2021

After loading the sample data into the Power BI desktop, you can modify it with the help of Query Editor. Regardless of the data source, query editors are helpful for editing datasets. In the query editor, you can perform changes like renaming a dataset and removing one or more columns, among other things.

BI 52

BI Project Business Intelligence Datasets 52

ProjectPro

JANUARY 24, 2023

This blog presents five exciting Splunk project ideas to help data professionals leverage the capabilities of Apache Splunk for their data analysis projects and build excellent interactive dashboards. Use any e-commerce dataset from Kaggle for creating this dashboard.

Project 52

Project Data Mining Big Data Big Data Tools 52

Cloudera

APRIL 15, 2022

“As the availability and volume of Earth data grow, researchers spend more time downloading and processing their data than doing science,” according to the NCSS website. RES leverages Cloudera for backend analytics of their climate research data, allowing researchers to derive insights from the climate data stored and processed by RES.

Big Data Tools 80

Big Data Tools Big Data Banking Finance 80

ProjectPro

AUGUST 6, 2015

According to IDC, the amount of data will increase by 20 times - between 2010 and 2020, with 77% of the data relevant to organizations being unstructured. 81% of the organizations say that Big Data is a top 5 IT priority.

Big Data 52

Big Data Hadoop Insurance Media 52

ProjectPro

JANUARY 25, 2022

Furthermore, PySpark allows you to interact with Resilient Distributed Datasets (RDDs) in Apache Spark and Python. Because of its interoperability, it is the best framework for processing large datasets. Easy Processing- PySpark enables us to process data rapidly, around 100 times quicker in memory and ten times faster on storage.

Big Data 52

Big Data Data Process Process Kafka 52

ProjectPro

FEBRUARY 25, 2022

Get Closer To Your Dream of Becoming a Data Scientist with 150+ Solved End-to-End ML Projects Depending on the project you are working on, you might add a few more steps, but these steps are elementary for every other data science project. The first step of cleaning the dataset is critical as a lot of time is spent here.

Deep Learning 52

Deep Learning Algorithm Machine Learning Data Science 52

ProjectPro

NOVEMBER 22, 2021

Python has a large library set, which is why the vast majority of data scientists and analytics specialists use it at a high level. If you are interested in landing a big data or Data Science job, mastering PySpark as a big data tool is necessary. Is PySpark a Big Data tool?

Hadoop 52

Hadoop Python Datasets Metadata 52

ProjectPro

JANUARY 19, 2022

While data scientists are primarily concerned with machine learning, having a basic understanding of the ideas might help them better understand the demands of data scientists on their teams. Data engineers don't just work with conventional data; and they're often entrusted with handling large amounts of data.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

ProjectPro

FEBRUARY 8, 2023

In fact, 95% of organizations acknowledge the need to manage unstructured raw data since it is challenging and expensive to manage and analyze, which makes it a major concern for most businesses. In 2023, more than 5140 businesses worldwide have started using AWS Glue as a big data tool.

AWS 98

AWS Scala Metadata Data Lake 98

ProjectPro

NOVEMBER 30, 2021

Project Idea: In this project, you will work on a retail store’s data and learn how to realize the association between different products. Additionally, you will learn how to implement Apriori and Fpgrowth algorithms over the given dataset. The goal is to predict the sales and revenue of different stores based on historical data.

Business Analyst 52

Business Analyst Project Retail Datasets 52

AltexSoft

JUNE 26, 2023

We’ll particularly explore data collection approaches and tools for analytics and machine learning projects. What is data collection? It’s the first and essential stage of data-related activities and projects, including business intelligence , machine learning , and big data analytics. No wonder only 0.5

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52

Edureka

JUNE 1, 2023

Without spending a lot of money on hardware, it is possible to acquire virtual machines and install software to manage data replication, distributed file systems, and entire big data ecosystems.

AWS 52

AWS Data Analytics Cloud Amazon Web Services 52

ProjectPro

JANUARY 24, 2023

It can also be used to create derived data entities In this retail big data project , ADF Dataflows act as a flexible solution for data integration and transformation from multiple sources helping the company glean valuable business insights into customer behavior to increase sales.

Retail 52

Retail Big Data Data Pipeline Media 52