Cloudera

MARCH 9, 2021

In this blog, we’ll highlight the key CDP aspects that provide data governance and lineage and show how they can be extended to incorporate metadata for non-CDP systems from across the enterprise. From a design viewpoint, a typedef is analogous to a class definition. Leveraging Atlas capabilities for assets outside of CDP. ip_address.

Data Governance 93

Data Governance Government Metadata Datasets 93

Data Engineering Weekly

MARCH 19, 2023

The author defines Data Product as the combination of Datasets Domain Access It is an exciting time for the data industry as we are increasingly talking about philosophies to adopt data in an organization than technology complexities such as Hadoop, Spark, etc., I won't trust them.

Data Engineering 57

Data Engineering Data Engineer Engineering Media 57

ProjectPro

FEBRUARY 21, 2023

This blog explores the pathway to becoming a successful Databricks Certified Apache Spark Developer and presents an overview of everything you need to know about the role of a Spark developer. A good understanding of big data technologies like Hadoop, HDFS, Hive, HBase is important to be able to integrate them with Apache Spark applications.

Scala 52

Scala Programming Language Java Hadoop 52

Databand.ai

DECEMBER 13, 2022

He has deep expertise in distributed systems, data engineering, API design, data integration from multiple sources, and machine learning. Deepak regularly shares blog content and similar advice on LinkedIn. On LinkedIn, he focuses largely on Spark, Hadoop, big data, big data engineering, and data engineering.

Data Engineering 52

Data Engineering Data Engineer Engineering AWS 52

Knowledge Hut

JANUARY 24, 2024

This blog offers an exclusive glimpse into the daily rituals, challenges, and moments of triumph that punctuate the professional journey of a data scientist. The primary objective of a data scientist is to analyze complex datasets to uncover patterns, trends, and valuable information that can aid in informed decision-making.

Database-centric 52

Database-centric Data Science Machine Learning Datasets 52

Rockset

MAY 17, 2022

This is the fourth post in a series by Rockset's CTO Dhruba Borthakur on Designing the Next Generation of Data Systems for Real-Time Analytics. We'll be publishing more posts in the series in the near future, so subscribe to our blog so you don't miss them! The design goal was low latency and scale.

SQL 52

SQL NoSQL Hadoop MongoDB 52

Knowledge Hut

MAY 9, 2024

In this blog post, we will look at some of the world's highest paying data science jobs, what they entail, and what skills and experience you need to land them. Responsibilities Data architects assess an organization's data sources and design plans for centralized data management. What is Data Science?

Data Science 52

Data Science Data Mining Data Architect Programming Language 52

AltexSoft

FEBRUARY 11, 2023

A data architect is an IT professional responsible for the design, implementation, and maintenance of the data infrastructure inside an organization. Data architecture is the organization and design of how data is collected, transformed, integrated, stored, and used by a company. What is a data architect?

Data Architect 87

Data Architect Certification Generalist Big Data 87

ProjectPro

JANUARY 19, 2022

The first step is to work on cleaning it and eliminating the unwanted information in the dataset so that data analysts and data scientists can use it for analysis. Data Engineering refers to creating practical designs for systems that can extract, keep, and inspect data at a large scale. What is Data Engineering?

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

ProjectPro

FEBRUARY 21, 2023

Whether you are just starting your career as a Data Engineer or looking to take the next step, this blog will walk you through the most valuable data engineering certifications and help you make an informed decision about which one to pursue. Don’t worry! Why Are Data Engineering Skills In Demand?

Certification 52

Certification Data Engineering Data Engineer Engineering 52

ProjectPro

FEBRUARY 16, 2023

If you are still wondering whether or why you need to master SQL for data engineering, read this blog to take a deep dive into the world of SQL for data engineering and how it can take your data engineering skills to the next level. They are built on top of Hadoop and can query data from underlying storage infrastructures.

Data Engineering 52

Data Engineering Data Engineer SQL Engineering 52

Knowledge Hut

SEPTEMBER 25, 2023

Now, let's dive into the heart of this blog article: a comprehensive list of the best data analyst courses and certifications. 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. What is Data Analyst Certification?

Certification 52

Certification Business Analyst Big Data Data Analysis 52

LinkedIn Engineering

MARCH 21, 2023

In this blog, we’ll discuss the ways in which we’re continuously investing in our skills taxonomy to build a strong, reliable foundation for our Skills Graph to help ensure we can match our members’ skills to opportunity and knowledge. This includes several standardizers/models (e.g., Now, let’s discuss the skills taxonomy’s key pillars.

Building 85

Building Recruitment Machine Learning Deep Learning 85

ProjectPro

DECEMBER 7, 2021

This blog will give you an in-depth knowledge of what is a data pipeline and also explore other aspects such as data pipeline architecture, data pipeline tools, use cases, and so much more. It can also consist of simple or advanced processes like ETL (Extract, Transform and Load) or handle training datasets in machine learning applications.

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52

ProjectPro

JUNE 9, 2021

This blog on Data Science vs. Data Engineering presents a detailed comparison between the two domains. Engineering' relates to building and designing pipelines that help acquire, process, and transform the collected data into a usable form. Data Engineers deal more with the design and architecture of a database management system.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

ProjectPro

JULY 23, 2021

This blog presents some of the most unique and innovative AWS projects from beginner to advanced levels. Any cloud computing professional can design AWS cloud projects and AWS enterprise projects using these services. They can also assist in developing and enhancing web development, hosting, design, and deployment skills.

AWS 52

AWS Project Amazon Web Services Cloud Computing 52

ProjectPro

JUNE 18, 2021

This blog aims to answer all questions on how Java vs Python compare for data science and which should be the programming language of your choice for doing data science in 2021. Pandas allow cleaning of messy datasets enabling them to be more readable and relevant. ND4J is designed to run fast in production environments.

Java 52

Java Data Science Python Programming Language 52

Knowledge Hut

DECEMBER 26, 2023

A simple usage of Business Intelligence (BI) would be enough to analyze such datasets. Building data systems and pipelines Data pipelines refer to the design systems used to capture, clean, transform and route data to different destination systems, which data scientists can later use to analyze and gain information.

Data Engineering 98

Data Engineering Data Engineer Engineering Pipeline-centric 98

Knowledge Hut

JANUARY 16, 2024

In this comprehensive blog, we delve into the foundational aspects and intricacies of the machine learning landscape. High-profile companies such as Univa, Microsoft, Apple, Google, and Amazon have invested millions of dollars in machine learning research and designing and are developing their future projects on it.

Machine Learning 98

Machine Learning Engineering Programming Language Algorithm 98

Knowledge Hut

JANUARY 18, 2024

“Big data Analytics” is a phrase that was coined to refer to amounts of datasets that are so large traditional data processing software simply can’t manage them. Get to know more about measures of dispersion through our blogs. There are four main modules within Hadoop. Check here for more information about types of Big Data.

Data Process 52

Data Process Process Hadoop Scala 52

Pinterest Engineering

JULY 25, 2023

Each dataset needs to be securely stored with minimal access granted to ensure they are used appropriately and can easily be located and disposed of when necessary. As businesses grow, so does the variety of these datasets and the complexity of their handling requirements.

Big Data 95

Big Data Accessible Accessibility Hadoop 95

LinkedIn Engineering

DECEMBER 20, 2023

In this blog post, we discuss how we are harnessing AI to help us with abuse prevention and share an overview of our infrastructure and the role it plays in identifying and mitigating abusive behavior on our platform. ML models, meticulously trained on diverse and high-quality datasets, are the linchpin of our Abuse detection efforts.

Building 91

Building Algorithm Kafka Machine Learning 91

Confluent

SEPTEMBER 26, 2019

In the early days, many companies simply used Apache Kafka ® for data ingestion into Hadoop or another data lake. ® , Go, and Python SDKs where an application can use SQL to query raw data coming from Kafka through an API (but that is a topic for another blog). In addition, it is often used for smaller datasets (e.g.,

Kafka 21

Kafka BI SQL Datasets 21

ProjectPro

JULY 12, 2021

This blog will take you through a relatively new career title in the data industry — AI Engineer. Design, develop, and deploy artificial intelligence systems. Usually, a data scientist role involves the utilization of statistics, mathematics, design, and communication skills to solve a business problem.

Engineering 40

Engineering Deep Learning Software Engineer Software Engineering 40

ProjectPro

NOVEMBER 7, 2016

Understanding the Hadoop architecture now gets easier! This blog will give you an indepth insight into the architecture of hadoop and its major components- HDFS, YARN, and MapReduce. We will also look at how each component in the Hadoop ecosystem plays a significant role in making Hadoop efficient for big data processing.

Hadoop 40

Hadoop Architecture IT Big Data 40

Edureka

JANUARY 18, 2024

They manage intricate datasets, create forecasting models, and examine consumer behavior to deliver tailored experiences. Explore real-world examples, emphasizing the importance of statistical thinking in designing experiments and drawing reliable conclusions from data. Gain insight into their significance in handling vast datasets.

Data Science 40

Data Science Deep Learning NoSQL Machine Learning 40

Cloudera

DECEMBER 7, 2020

Apache Hadoop Distributed File System (HDFS) is the most popular file system in the big data world. The Apache Hadoop File System interface has provided integration to many other popular storage systems like Apache Ozone, S3, Azure Data Lake Storage etc. Copy the sample-sales.csv file into HDFS location( hdfs://ns1/sample-dataset ).

Systems 58

Systems Hadoop Metadata Datasets 58

ProjectPro

NOVEMBER 11, 2014

Confused over which framework to choose for big data processing - Hadoop MapReduce vs. Apache Spark. This blog helps you understand the critical differences between two popular big data frameworks. Hadoop and Spark are popular apache projects in the big data ecosystem. Confused Hadoop vs. Spark – Which One is Better?

Hadoop 40

Hadoop Scala Machine Learning Java 40

LinkedIn Engineering

APRIL 4, 2023

This blog post will provide an overview of how we approached metrics selection and design, system architecture and key product features. Metrics Design and Selection We started with a simple question: What should we measure? To answer that we followed a metrics design framework called “Goals-Signals-Metrics.” (GSM)

MySQL 122

MySQL Datasets Software Engineer Software Engineering 122

ProjectPro

AUGUST 24, 2021

And, out of these professions, this blog will discuss the data engineering job role. Explore different types of Data Formats: A data engineer works with various dataset formats like.csv,josn,xlx, etc. They are also often expected to prepare their dataset by web scraping with the help of various APIs.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

ProjectPro

JANUARY 31, 2023

In this blog, we'll dive into some of the most commonly asked big data interview questions and provide concise and informative answers to help you ace your next big data job interview. HBase storage is ideal for random read/write operations, whereas HDFS is designed for sequential processes. How is Hadoop related to Big Data?

Big Data 52

Big Data Hadoop AWS Relational Database 52

ProjectPro

APRIL 4, 2015

With the help of our best in class Hadoop faculty, we have gathered top Hadoop developer interview questions that will help you get through your next Hadoop job interview. IT organizations from various domains are investing in big data technologies, increasing the demand for technically competent Hadoop developers.

Hadoop 40

Hadoop Big Data Recruitment Java 40

Cloudera

FEBRUARY 8, 2022

Designed with high availability built into the architecture, it is ideal for supporting mission-critical applications. . “CDP Operational Database enabled us to move one of our main datasets into the new database on AWS in record time,” said Briglal Kattamaparambil, Director of Development at Epsilon. “We

Database 66

Database Systems Cloud Management 66

ProjectPro

JANUARY 19, 2022

Read this blog till the end to learn more about the roles and responsibilities, necessary skillsets, average salaries, and various important certifications that will help you build a successful career as an Azure Data Engineer. Hadoop, MongoDB, and Kafka are popular Big Data tools and technologies a data engineer needs to be familiar with.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

Knowledge Hut

OCTOBER 30, 2023

The article will also discuss some big data projects using Hadoop and big data projects using Spark. This is an intriguing big data Hadoop project for newcomers who wish to learn the fundamentals of running data queries and analytics using Apache Hive. The top big data projects that you shouldn't miss are listed below.

Big Data 52

Big Data Coding Project Medical 52

Rockset

MAY 8, 2023

In this blog, we capture engineering stories from 5 early adopters of vector search- Pinterest, Spotify, eBay, Airbnb and Doordash- who have integrated AI into their applications. Embedded content: [link] Given a query, we can then find the most similar items in the dataset. What is vector search?

Metadata 52

Metadata Algorithm Datasets Google Cloud 52

Cloudera

AUGUST 31, 2020

LLAP operates on open columnar data formats like ORC which are often used by Data Science tools like Spark, seamlessly enabling AI and Data Science on the same datasets. . This helped the team identify the key architectural design elements of Hive LLAP, such as caching, and enabled their use cases and performance requirements.

Management 63

Management Hadoop Data Warehouse Data Science 63