ProjectPro

JANUARY 24, 2023

With over 20 pre-built connectors and 40 pre-built transformers, AWS Glue is an extract, transform, and load (ETL) service that is fully managed and allows users to easily process and import their data for analytics. You can leverage AWS Glue to discover, transform, and prepare your data for analytics.

AWS 52

AWS Data Lake Scala ETL Tools 52

Data Engineering Podcast

NOVEMBER 4, 2019

Summary As data engineers the health of our pipelines is our highest priority. Unfortunately, there are countless ways that our dataflows can break or degrade that have nothing to do with the business logic or data transformations that we write and maintain. and Facebook, scaling from terabytes to petabytes of analytic data.

Programming Language 100

Programming Language Kafka Media Data Engineering 100

ProjectPro

FEBRUARY 21, 2023

With so many data engineering certifications available , choosing the right one can be a daunting task. There are over 133K data engineer job openings in the US, but how will you stand out in such a crowded job market? The answer is- by earning professional data engineering certifications! AWS or Azure? Cloudera or Databricks?

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Certification Data Engineering Data Engineer Engineering 52

ProjectPro

JUNE 18, 2021

Why do data scientists prefer Python over Java? Java vs Python for Data Science- Which is better? These are the most common questions that our ProjectAdvisors get asked a lot from beginners getting started with a data science career. Why do data scientists love Python for Data Science? renamed to Java.

Java 52

Java Data Science Python Programming Language 52

ProjectPro

DECEMBER 7, 2021

Data pipelines are a significant part of the big data domain, and every professional working or willing to work in this field must have extensive knowledge of them. As data is expanding exponentially, organizations struggle to harness digital information's power for different business use cases.

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52

Edureka

FEBRUARY 6, 2023

In today’s technological environment, where data and cloud computing are becoming more and more significant, an Azure Data Engineer is extremely important. Azure Data Engineers are in high demand due to the growth of cloud-based data solutions. Who is an Azure Data Engineer?

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

Knowledge Hut

SEPTEMBER 25, 2023

In today's digital age, data is the lifeblood of any successful business. With the ever-growing importance of data, individuals with expertise in data analysis are in high demand, and a plethora of exciting job opportunities await them. What is Data Analyst Certification? Is Data Analyst Certification worth it?

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Certification Business Analyst Big Data Data Analysis 52

Towards Data Science

APRIL 6, 2023

Today’s post follows the same philosophy: fitting local and cloud pieces together to build a data pipeline. And, when it comes to data engineering solutions, it’s no different: They have databases, ETL tools, streaming platforms, and so on — a set of tools that makes our life easier (as long as you pay for them). not sponsored.

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AWS Data Pipeline Amazon Web Services Python 78

ProjectPro

APRIL 20, 2017

But when you browse through hadoop developer job postings, you become a little worried as most of the big data hadoop job descriptions require some kind of experience working on projects related to Hadoop. Table of Contents How working on Hadoop projects will help professionals in the long run?

Hadoop 40

Hadoop Big Data Coding Project 40

ProjectPro

JUNE 13, 2018

AWS Certification Levels AWS Certified Big Data - Specialty Best AWS Certifications List for 2023 Are AWS Certifications Worth it? Choosing the Right AWS Certification Based on Your Role and Skill Set AWS Certified Data Analytics – Specialty (AWS Speciality Certification) Which AWS Certification Should I Get?

AWS 52

AWS Certification Amazon Web Services Cloud Computing 52

ProjectPro

NOVEMBER 14, 2015

Big data has taken over many aspects of our lives and as it continues to grow and expand, big data is creating the need for better and faster data storage and analysis. These Apache Hadoop projects are mostly into migration, integration, scalability, data analytics, and streaming analysis.

Hadoop 52

Hadoop Project Big Data Healthcare 52

ProjectPro

JANUARY 25, 2022

Did you know that, according to Linkedin, over 24,000 Big Data jobs in the US list Apache Spark as a required skill? Learning Spark has become more of a necessity to enter the Big Data industry. Python is one of the most extensively used programming languages for Data Analysis, Machine Learning , and data science tasks.

Big Data 52

Big Data Data Process Process Kafka 52

ProjectPro

NOVEMBER 22, 2021

PySpark has exploded in popularity in recent years, and many businesses are capitalizing on its advantages by producing plenty of employment opportunities for PySpark professionals. According to the Businesswire report , the worldwide big data as a service market is estimated to grow at a CAGR of 36.9% billion by 2026.

Hadoop 52

Hadoop Python Datasets Metadata 52

ProjectPro

SEPTEMBER 16, 2021

87% of Data Science Projects never make it to production - VentureBeat According to an analytics firm, Cognilytica, the MLOps market is anticipated to be worth $4 billion by end of 2025. Jobs over the next decade will be built on top of Data Science, but for production. Table of Contents What is MLOps ?

Project 52

Project Amazon Web Services Machine Learning Data Science 52

ProjectPro

FEBRUARY 8, 2023

Do ETL and data integration activities seem complex to you? 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 Businesses are leveraging big data now more than ever.

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AWS Scala Metadata Data Lake 98

ProjectPro

FEBRUARY 18, 2022

The big data analytics market is expected to grow at a CAGR of 13.2 This indicates that more businesses will adopt the tools and methodologies useful in big data analytics, including implementing the ETL pipeline. Let us now understand why the ETL pipelines hold such great value in Data Science and Analytics.

Project 52

Project AWS Kafka Healthcare 52

ProjectPro

AUGUST 24, 2021

Most of us have observed that data scientist is usually labeled the hottest job of the 21st century, but is it the only most desirable job? For beginners or peeps who are utterly new to the data industry, Data Scientist is likely to be the first job title they come across, and the perks of being one usually make them go crazy.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

ProjectPro

FEBRUARY 21, 2022

Learn PySpark Joins in a single go! From the various type of PySpark joins to their syntax and PySpark join example, this blog has it all for you. Table of Contents Why are PySpark Joins Important for Data Analytics? Why are PySpark Joins Important for Data Analytics?

Data Analysis 52

Data Analysis Finance Datasets Big Data 52

Edureka

FEBRUARY 9, 2023

Azure Data Engineering is a rapidly growing field that involves designing, building, and maintaining data processing systems using Microsoft Azure technologies. As a certified Azure Data Engineer, you have the skills and expertise to design, implement and manage complex data storage and processing solutions on the Azure cloud platform.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

Towards Data Science

FEBRUARY 15, 2023

Concepts, theory, and functionalities of this modern data storage framework Photo by Nick Fewings on Unsplash Introduction I think it’s now perfectly clear to everybody the value data can have. To use a hyped example, models like ChatGPT could only be built on a huge mountain of data, produced and collected over years.

Data Lake 79

Data Lake Data Warehouse Hadoop Data Architecture 79

Towards Data Science

DECEMBER 23, 2023

Photo by Ian Taylor on Unsplash This tutorial guides you through an analytics use case, analyzing semi-structured data with Spark SQL. We’ll start with the data engineering process, pulling data from an API and finally loading the transformed data into a data lake (represented by MinIO ).

SQL 74

SQL Data Analytics Hadoop Raw Data 74

AltexSoft

JULY 18, 2023

These seemingly unrelated terms unite within the sphere of big data, representing a processing engine that is both enduring and powerfully effective — Apache Spark. Maintained by the Apache Software Foundation, Apache Spark is an open-source, unified engine designed for large-scale data analytics. What is Apache Spark?

Big Data 52

Big Data Data Process Process Hadoop 52

Cloudera

OCTOBER 18, 2022

Like all of our customers, Cloudera depends on the Cloudera Data Platform (CDP) to manage our day-to-day analytics and operational insights. Many aspects of our business live within this modern data architecture, providing all Clouderans the ability to ask, and answer, important questions for the business. Project CloudCost — design.

Cloud 85

Cloud IT Data Warehouse AWS 85

Ascend.io

MAY 24, 2023

This article is based on a presentation given by Sarwat Fatima , Principal Data Engineer at Biome Analytics, at the Data Pipeline Automation Summit 2023. Dive right into Sarwat’s full presentation at the Data Pipeline Automation Summit 2023. Table of Contents Data is the lifeblood of the healthcare industry.

Healthcare 52

Healthcare Data Pipeline Hospitality Datasets 52

Towards Data Science

MARCH 6, 2023

On-premise and cloud working together to deliver a data product Photo by Toro Tseleng on Unsplash Developing a data pipeline is somewhat similar to playing with lego, you mentalize what needs to be achieved (the data requirements), choose the pieces (software, tools, platforms), and fit them together.

Google Cloud 84

Google Cloud Cloud Storage Data Pipeline Cloud 84

Edureka

MAY 9, 2023

In today’s digital era, businesses operate in a data-driven environment where data is generated at an unprecedented rate. With this massive influx of data, it becomes challenging for companies to manage and analyze it effectively. Here are the subjects that will be covered: What is Azure Synapse?

BI 52

BI Retail Datasets Machine Learning 52

Pinterest Engineering

JULY 25, 2023

Soam Acharya | Data Engineering Oversight; Keith Regier | Data Privacy Engineering Manager Background Businesses collect many different types of data. The result is a multi-tenant Data Engineering platform, allowing users and services access to only the data they require for their work.

Accessible 94

Accessible Accessibility Big Data Hadoop 94

ProjectPro

JUNE 24, 2021

According to Gartner , organizations can suffer a financial loss of up to 15 million dollars for the poor quality of data. As per McKinsey , 47% of organizations believe that data analytics has impacted the market in their respective industries. This number grew to 67.9% as of 2018, and is only increasing from there.

Data Analytics 40

Data Analytics Project Insurance Hadoop 40

ProjectPro

AUGUST 26, 2016

Apache Spark is the most active open big data tool reshaping the big data market and has reached the tipping point in 2015.Wikibon Wikibon analysts predict that Apache Spark will account for one third (37%) of all the big data spending in 2022. How to set partitioning for data in Apache Spark?

Hadoop 40

Hadoop Big Data Datasets Scala 40

ProjectPro

NOVEMBER 30, 2021

If you are into Data Science or Big Data, you must be familiar with an ETL pipeline. This guide provides definitions, a step-by-step tutorial, and a few best practices to help you understand ETL pipelines and how they differ from data pipelines. How do we transform this data to get valuable insights from it?

Process 52

Process Data Pipeline Data Warehouse AWS 52

Zalando Engineering

MARCH 28, 2017

The projects come from any point of the organization and we are encouraged to band together with other employees across locations and business units. For our 2016 edition of Hack Week, we implemented a PySpark version of Hidden Markov Model (HMM). The training data was made up of integer sequences drawn from a multinomial distribution.

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Project Datasets Algorithm Python 40

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

Rockset

DECEMBER 9, 2021

Not Just Modern, But Real Time The modern data stack emerged a decade ago, a direct response to the shortcomings of big data. Companies that undertook big data projects ran head-long into the high cost, rigidity and complexity of managing complex on-premises data stacks. The inevitable next stage?

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Transportation BI SQL Data Warehouse 52