Marc Lamberti

OCTOBER 1, 2023

Airflow Sensors are one of the most common tasks in data pipelines. If you want to make complex and robust data pipelines, you have to understand how Sensors work genuinely. Suppose you need to wait for data coming from different sources A, B, and C, every day. A sends you data at 9:00 AM, B at 9:30 AM, and C and 10:00 AM.

Data Pipeline 243

Data Pipeline SQL Algorithm Coding 243

Cloudera

JUNE 18, 2022

Cloudera customers run some of the biggest data lakes on earth. These lakes power mission critical large scale data analytics, business intelligence (BI), and machine learning use cases, including enterprise data warehouses. On data warehouses and data lakes. But with vastly different architectural worldviews.

Data Lake 89

Data Lake Data Warehouse BI SQL 89

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

SEPTEMBER 9, 2021

Apache Hive and Apache Spark are the two popular Big Data tools available for complex data processing. To effectively utilize the Big Data tools, it is essential to understand the features and capabilities of the tools. The following is the architecture of Hive.

Hadoop 52

Hadoop Big Data Tools Java SQL 52

ProjectPro

FEBRUARY 16, 2023

Apache Spark is an open-source, distributed computing system for big data processing and analytics. It has become a popular big data and machine learning analytics engine. Today, the Apache Spark project has over 1,000 contributors from over 250 companies worldwide. Indeed recently posted nearly 2.4k

Big Data 52

Big Data Scala Machine Learning Hadoop 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

Knowledge Hut

MAY 2, 2024

Apache Spark was developed by a team at UC Berkeley in 2009. Since then, Apache Spark has seen a very high adoption rate from top-notch technology companies like Google, Facebook, Apple, Netflix etc. According to marketanalysis.com survey, the Apache Spark market worldwide will grow at a CAGR of 67% between 2019 and 2022.

Scala 52

Scala Hospitality Healthcare Retail 52

Knowledge Hut

NOVEMBER 19, 2023

One of the most important responsibilities for experts in big data is configuring the cloud to store data and provide high availability. As a result, data engineers working with big data today require a basic grasp of cloud computing platforms and tools. What Are Azure Data Engineer Tools?

Data Engineering 52

Data Engineering Data Engineer Engineering PostgreSQL 52

Towards Data Science

JANUARY 17, 2024

Parquet vs ORC vs Avro vs Delta Lake Photo by Viktor Talashuk on Unsplash The big data world is full of various storage systems, heavily influenced by different file formats. These are key in nearly all data pipelines, allowing for efficient data storage and easier querying and information extraction.

Big Data 75

Big Data Data Data Storage SQL 75

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 ETL Tools Scala 52

Data Engineering Podcast

AUGUST 24, 2020

Summary In order to scale the use of data across an organization there are a number of challenges related to discovery, governance, and integration that need to be solved. If you hand a book to a new data engineer, what wisdom would you add to it? The key to those solutions is a robust and flexible metadata management system.

Metadata 100

Metadata Management Kafka 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?

Certification 52

Certification Data Engineering Data Engineer Engineering 52

ProjectPro

FEBRUARY 21, 2023

With around 35k stars and over 26k forks on Github, Apache Spark is one of the most popular big data frameworks used by 22,760 companies worldwide. Apache Spark is the most efficient, scalable, and widely used in-memory data computation tool capable of performing batch-mode, real-time, and analytics operations.

Scala 52

Scala Programming Language Java Hadoop 52

Knowledge Hut

JULY 27, 2023

The interesting world of big data and its effect on wage patterns, particularly in the field of Hadoop development, will be covered in this guide. You can opt for Big Data training online to learn about Hadoop and big data. You can opt for big data and Hadoop certification to boost your growth and salary.

Hadoop 52

Hadoop Programming Language Banking Scala 52

Data Engineering Podcast

DECEMBER 30, 2019

In order to support their customers, they need to capture, process, and analyze massive amounts of timeseries data with a high degree of uptime and reliability. We have partnered with organizations such as O’Reilly Media, Corinium Global Intelligence, ODSC, and Data Council.

Process 100

Process Building Hadoop Java 100

AltexSoft

JULY 29, 2022

Depending on how you measure it, the answer will be 11 million newspaper pages or… just one Hadoop cluster and one tech specialist who can move 4 terabytes of textual data to a new location in 24 hours. Developed in 2006 by Doug Cutting and Mike Cafarella to run the web crawler Apache Nutch, it has become a standard for Big Data analytics.

Hadoop 59

Hadoop Big Data Google Cloud NoSQL 59

Knowledge Hut

DECEMBER 26, 2023

Big Data is an immense amount of data that is constantly growing exponentially. Due to its vastness and complexity, no traditional data management system can adequately store or process this data. The New York Stock Exchange, which generates one terabyte of new trade data each day, is a classic example of big data.

Big Data 75

Big Data Data Mining Business Intelligence Machine Learning 75

Cloudera

AUGUST 26, 2021

Apache Ozone is a scalable distributed object store that can efficiently manage billions of small and large files. The object store is readily available alongside HDFS in CDP (Cloudera Data Platform) Private Cloud Base 7.1.3+. Learn more about the impacts of global data sharing in this blog, The Ethics of Data Exchange.

Data Science 107

Data Science Cloud Hadoop Metadata 107

Data Engineering Podcast

FEBRUARY 18, 2019

Summary Distributed storage systems are the foundational layer of any big data stack. Alluxio is a distributed virtual filesystem which integrates with multiple persistent storage systems to provide a scalable, in-memory storage layer for scaling computational workloads independent of the size of your data.

Systems 100

Systems Java Media Algorithm 100

ProjectPro

NOVEMBER 30, 2021

Your search for business analyst project examples ends here. This blog contains sample projects for business analyst beginners and professionals. So, continue reading this blog to know more about different business analyst projects ideas. Project Idea: Mercari is a community-driven electronics-shopping application in Japan.

Business Analyst 52

Business Analyst Project Retail Datasets 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

Data Engineering Podcast

SEPTEMBER 7, 2020

For analytical use cases you often want to combine data across multiple sources and storage locations. This frequently requires cumbersome and time-consuming data integration. If you hand a book to a new data engineer, what wisdom would you add to it? And don’t forget to thank them for their continued support of this show!

Architecture 100

Architecture Data Architecture SQL Engineering 100

Data Engineering Podcast

JUNE 16, 2019

Summary Building and maintaining a data lake is a choose your own adventure of tools, services, and evolving best practices. The flexibility and freedom that data lakes provide allows for generating significant value, but it can also lead to anti-patterns and inconsistent quality in your analytics.

Data Lake 100

Data Lake Lambda Architecture Data Warehouse Hadoop 100

ProjectPro

JANUARY 19, 2022

Data Engineering is gradually becoming a popular career option for young enthusiasts. Explore this page further and learn everything about data engineers to find the answer. We will cover it all, from its definition, skills, responsibilities to the significance of data engineer in an institution. What is Data Engineering?

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

AltexSoft

JULY 18, 2023

To some, the word Apache may bring images of Native American tribes celebrated for their tenacity and adaptability. These seemingly unrelated terms unite within the sphere of big data, representing a processing engine that is both enduring and powerfully effective — Apache Spark. What is Apache Spark?

Big Data 52

Big Data Data Process Process Hadoop 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

Knowledge Hut

DECEMBER 29, 2023

Data Engineering is the most demanding and fruitful career option, as most companies rely on their data to make significant growth decisions. First, they gather all the data from different resources and segregate it into fruitful data sets. Top data engineering tools that professionals in this domain use are listed below.

Data Engineering 40

Data Engineering Data Engineer Engineering BI 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

ProjectPro

NOVEMBER 15, 2021

.” From month-long open-source contribution programs for students to recruiters preferring candidates based on their contribution to open-source projects or tech-giants deploying open-source software in their organization, open-source projects have successfully set their mark in the industry.

Big Data 52

Big Data Project Metadata Programming Language 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. Apache Spark is one of the most popular frameworks for managing and dealing with Big Data.

Big Data 52

Big Data Data Process Process Kafka 52

Knowledge Hut

DECEMBER 26, 2023

According to the World Economic Forum, the amount of data generated per day will reach 463 exabytes (1 exabyte = 10 9 gigabytes) globally by the year 2025. Thus, almost every organization has access to large volumes of rich data and needs “experts” who can generate insights from this rich data.

Data Science 97

Data Science BI Business Intelligence Data Mining 97

Knowledge Hut

JUNE 20, 2023

A novice data scientist prepared to start a rewarding journey may need clarification on the differences between a data scientist and a machine learning engineer. Many people are learning data science for the first time and need help comprehending the two job positions. Apache Spark, Microsoft Azure, Amazon Web services, etc.

Machine Learning 52

Machine Learning Data Engineering Data Engineer Engineering 52

Data Engineering Podcast

AUGUST 5, 2019

Summary Data is only valuable if you use it for something, and the first step is knowing that it is available. As organizations grow and data sources proliferate it becomes difficult to keep track of everything, particularly for analysts and data scientists who are not involved with the collection and management of that information.

PostgreSQL 100

PostgreSQL MongoDB Metadata Media 100

Knowledge Hut

JANUARY 16, 2024

Look at the stats that show a positive trend for machine learning projects and careers. Another study from Indeed, the online job portal giant, revealed that machine learning engineers, data scientists, and software engineers with these skills are topping the list of most in-demand professionals. Machine learning produces predictions.

Machine Learning 98

Machine Learning Engineering Programming Language Algorithm 98

Databand.ai

AUGUST 30, 2023

DataOps , short for data operations, is an emerging discipline that focuses on improving the collaboration, integration, and automation of data processes across an organization. These tools help organizations implement DataOps practices by providing a unified platform for data teams to collaborate, share, and manage their data assets.

Data Cleanse 52

Data Cleanse Data Pipeline Data Ingestion Data Validation 52

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

Data Engineering Podcast

DECEMBER 8, 2019

Summary Data warehouses have gone through many transformations, from standard relational databases on powerful hardware, to column oriented storage engines, to the current generation of cloud-native analytical engines. If you are evaluating your options for building or migrating a data platform, then this is definitely worth a listen.

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Data Warehouse Cloud AWS Relational Database 100