Data Engineering Podcast

MARCH 27, 2022

What is your working definition of "data governance" and how does that influence your product focus and priorities? How have the design and goals of the system changed or evolved since you started working on it? How have the design and goals of the system changed or evolved since you started working on it?

Data Governance 130

Data Governance Government Cloud Building 130

Knowledge Hut

DECEMBER 22, 2023

Hadoop Gigabytes to petabytes of data may be stored and processed effectively using the open-source framework known as Apache Hadoop. Hadoop enables the clustering of many computers to examine big datasets in parallel more quickly than a single powerful machine for data storage and processing.

Hadoop 98

Hadoop Deep Learning Data Science Machine Learning 98

Knowledge Hut

DECEMBER 26, 2023

These data have been accessible to us because of the advanced and latest technologies which are used in the collection of data. Evaluating business needs and objectives The basic responsibility of a Data Engineer is to build algorithms and data pipelines so that everyone in the organization can have access to raw data.

Data Engineering 98

Data Engineering Data Engineer Engineering Pipeline-centric 98

Knowledge Hut

APRIL 26, 2024

Now that the issue of storage of big data has been solved successfully by Hadoop and various other frameworks, the concern has shifted to processing these data. Some of these similar skills include the ability to: Access and query (e.g.,

Data Science 52

Data Science Machine Learning Hadoop Programming Language 52

ProjectPro

JUNE 4, 2015

All the components of the Hadoop ecosystem, as explicit entities are evident. All the components of the Hadoop ecosystem, as explicit entities are evident. The holistic view of Hadoop architecture gives prominence to Hadoop common, Hadoop YARN, Hadoop Distributed File Systems (HDFS ) and Hadoop MapReduce of the Hadoop Ecosystem.

Hadoop 52

Hadoop Architecture IT Java 52

ProjectPro

OCTOBER 28, 2015

Apache Hadoop is synonymous with big data for its cost-effectiveness and its attribute of scalability for processing petabytes of data. Data analysis using hadoop is just half the battle won. Getting data into the Hadoop cluster plays a critical role in any big data deployment. then you are on the right page.

ETL Tools 52

ETL Tools Hadoop Relational Database Unstructured Data 52

ProjectPro

NOVEMBER 6, 2015

Hadoop has continued to grow and develop ever since it was introduced in the market 10 years ago. Every new release and abstraction on Hadoop is used to improve one or the other drawback in data processing, storage and analysis. Apache Hive is an abstraction on Hadoop MapReduce and has its own SQL like language HiveQL.

Hadoop 52

Hadoop SQL Java Metadata 52

ProjectPro

JUNE 5, 2015

“What is Hadoop?” ” might seem a simple question but the answer to this question is not so simple because over the time Hadoop has grown into a complex ecosystem of various competitive and complementary projects. The path to learning hadoop is steep but using Hadoop framework successfully is not so easy.

Hadoop 40

Hadoop Big Data Datasets Media 40

Data Engineering Podcast

MAY 18, 2021

Molecula is an enterprise feature store that operationalizes advanced analytics and AI in a format designed for massive machine-scale projects without having to manage endless one-off information requests. code available, maturity of the specification, etc.) What are some of the projects/organizations/etc.

Metadata 100

Metadata Kafka Data Warehouse Hadoop 100

Cloudera

OCTOBER 22, 2021

While key NiFi features like visual flow design and interactive data exploration are front and center during the development phase, operational features like resource management, auto-scaling and performance monitoring become crucial once a data flow has been deployed in production and business functions depend on it. . Apache NiFi 1.11

Cloud 91

Cloud Data Accessible Accessibility 91

ProjectPro

JUNE 30, 2016

This blog post gives an overview on the big data analytics job market growth in India which will help the readers understand the current trends in big data and hadoop jobs and the big salaries companies are willing to shell out to hire expert Hadoop developers. It’s raining jobs for Hadoop skills in India.

Hadoop 40

Hadoop Big Data Skills Recruitment NoSQL 40

Knowledge Hut

JANUARY 9, 2024

It discusses the definition of cloud computing, its evolution, pros, cons, and challenges. 2 What is Cloud Infrastructure Candidates gain insight into the history of data centers, their components like IT equipment and facilities, along with design considerations like efficiency, power, requirements, redundancy, and more.

Cloud Computing 52

Cloud Computing Cloud Amazon Web Services Cloud Storage 52

AltexSoft

MAY 12, 2023

Definition and examples Unstructured data , in its simplest form, refers to any data that does not have a pre-defined structure or organization. File systems, data lakes, and Big Data processing frameworks like Hadoop and Spark are often utilized for managing and analyzing unstructured data. What is unstructured data?

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

AltexSoft

OCTOBER 21, 2022

After trying all options existing on the market — from messaging systems to ETL tools — in-house data engineers decided to design a totally new solution for metrics monitoring and user activity tracking which would handle billions of messages a day. Kafka is designed to handle numerous clients from both sides.

Kafka 93

Kafka Hadoop ETL Tools Big Data 93

Knowledge Hut

NOVEMBER 7, 2023

With quick access to various technologies through the cloud, you can develop more quickly and create almost anything you can imagine. " Instead of relying on nearby hard drives and personal data centers, it requires storing and accessing data on distant servers.

Cloud Computing 98

Cloud Computing Cloud Amazon Web Services Entertainment 98

ProjectPro

JUNE 29, 2016

As open source technologies gain popularity at a rapid pace, professionals who can upgrade their skillset by learning fresh technologies like Hadoop, Spark, NoSQL, etc. From this, it is evident that the global hadoop job market is on an exponential rise with many professionals eager to tap their learning skills on Hadoop technology.

Hadoop 40

Hadoop Big Data Banking Consulting 40

Knowledge Hut

DECEMBER 27, 2023

Accessing and storing huge data volumes for analytics was going on for a long time. But ‘big data’ as a concept gained popularity in the early 2000s when Doug Laney, an industry analyst, articulated the definition of big data as the 3Vs. Structured (any data that can be stored, accessed and processed in a fixed format) Source - Guru99.com

Big Data Tools 59

Big Data Tools Big Data Hadoop Database-centric 59

Knowledge Hut

JANUARY 19, 2024

Parameters Business Intelligence Business Analytics Definition Business intelligence is about understanding a company's past and present. Business Intelligence v s Business Analytics: Definitions Business Intelligence refers to the process of gathering and analyzing data to make better business decisions.

Business Intelligence 52

Business Intelligence BI Business Analyst Aggregated Data 52

Knowledge Hut

DECEMBER 26, 2023

Leveraging Apache technologies like Hadoop, Cassandra, Avro, Pig, Mahout, Oozie, and Hive to encapsulate, split, and isolate Big Data and virtualize Big Data servers. Examining business cases, preparing, extracting, transforming, analyzing, and displaying data are steps in the big data analytics lifecycle.

Big Data 75

Big Data Data Mining Business Intelligence Machine Learning 75

ProjectPro

MAY 13, 2016

Hadoop is the most talked about innovation in the IT industry that has shaken the entire data centre infrastructure at many organizations. As the appetite for Hadoop and related big data technologies grows at an exponential rate, it is not out to spell the death of data warehousing. ”- Alisdair Anderson said at a Hadoop Summit.

Data Warehouse 40

Data Warehouse Hadoop Unstructured Data Big Data 40

Knowledge Hut

SEPTEMBER 6, 2023

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. They should be able to use AWS services to design, build, secure, and maintain analytics solutions. through real-time projects and case studies. No prior experience is required.

Big Data 52

Big Data Certification Hadoop Scala 52

ProjectPro

FEBRUARY 16, 2023

Despite the buzz surrounding NoSQL , Hadoop , and other big data technologies, SQL remains the most dominant language for data operations among all tech companies. For example, the data manipulation language (DML) and data definition language (DDL) allow engineers to collect and manipulate data scripts and design and modify data structures.

Data Engineering 52

Data Engineering Data Engineer SQL Engineering 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

Data Engineering Podcast

JULY 22, 2019

This organizational pattern is reinforced by the architectural pattern of data lakes as a solution for managing storage and access. Can you start by providing your definition of a "data lake" and discussing some of the problems and challenges that they pose? How do you approach that in a data mesh scenario?

Data Lake 100

Data Lake Hadoop Data Architecture 100

Ascend.io

SEPTEMBER 14, 2023

As the field of data engineering evolves, the need for a versatile, performant, and easily accessible language becomes paramount. Plug-and-Play: Many of these libraries are designed to be integrated seamlessly , reducing development time and increasing compatibility across tasks. Statically typed, requiring type definition upfront.

Data Engineering 52

Data Engineering Data Engineer Python Engineering 52

ProjectPro

MARCH 29, 2016

Cracking a Hadoop Admin Interview becomes a tedious job if you do not spend enough time preparing for it.This article lists top Hadoop Admin Interview Questions and Answers which are likely to be asked when being interviewed for Hadoop Adminstration jobs. Table of Contents How to prepare for a Hadoop Admin Interview?

Hadoop 40

Hadoop Big Data Portfolio Utilities 40

AltexSoft

OCTOBER 30, 2021

Data engineering itself is a process of creating mechanisms for accessing data. It’s a common conundrum, what you definitely don’t want to have is more scientists than engineers, because that would mean the former are doing the engineering work. ML models are designed by data scientists, but data engineers deploy those into production.

Data Engineering 98

Data Engineering Data Engineer Engineering Machine Learning 98

Edureka

FEBRUARY 7, 2023

In this case, the service provider creates a managed service that allows users to access these services on demand. In this case, the service provider creates a managed service that allows users to access these services on demand. Export information to Azure Data Lake Store, Azure Blob Storage, or Hadoop.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Lake 52

AltexSoft

MARCH 14, 2023

Modern data stack tools are designed to integrate seamlessly with cloud data warehouses such as Redshift, Bigquery, and Snowflake, as well as data lakes or even the child of the first two — a data lakehouse. Designed to be modular. Built around a cloud data warehouse, data lake, or data lakehouse. Data democratization.

IT 59

IT Data Warehouse Data Governance Data Lake 59

Cloud Academy

JANUARY 27, 2022

Data engineering is the process of designing and implementing solutions to collect, store, and analyze large amounts of data. Data engineers are responsible for transforming data into an easily accessible format, identifying trends in data sets, and creating algorithms to make the raw data more useful for business units.

Data Engineering 52

Data Engineering Data Engineer Certification Engineering 52

Data Engineering Podcast

NOVEMBER 23, 2020

He also shares how his own product is designed and the challenges that are involved in building a system to help data engineers manage the complexity of a data platform. If you are wondering how to get better control of your own pipelines and the traps to avoid then this episode is definitely worth a listen.

Hadoop 100

Hadoop Data Pipeline BI Data 100

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. And when systems such as Hadoop and Hive arrived, it married complex queries with big data for the first time. Hive implemented an SQL layer on Hadoop’s native MapReduce programming paradigm.

SQL 52

SQL NoSQL Hadoop MongoDB 52

ProjectPro

JUNE 9, 2021

Table of Contents Data Engineer vs Data Scientist: Demand Data Engineering vs. Data Science- Definition Difference between Data Science and Data Engineering Data Engineer vs. Data Scientist Data Engineer vs. Data Scientist - The Definition What does a data scientist do? vs. What does a Data Engineer do?

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

ProjectPro

JUNE 16, 2022

Businesses don’t have to create an ELT infrastructure to extract and process their data, and instead, the AWS pipeline web service will help them access, transform, and process data from the location where it is stored. Easy-to-use AWS offers a drag-and-drop option for users to design a pipeline easily.

Data Pipeline 59

Data Pipeline AWS Amazon Web Services Data Consolidation 59

Data Engineering Weekly

NOVEMBER 6, 2022

Editor’s Note: #TwitterMigration Mastodon & the definition of Data Contract Last week I switched from Twitter to Mastodon. Here is my definition of a Data Contract A data contract/ Schema Ops is not static or a one-time task. Sign up free to test out the tool today. The data contract flow originated from the data producer.

Data Engineering 40

Data Engineering Data Engineer Engineering Machine Learning 40

AltexSoft

MARCH 30, 2023

Shell, Adobe, Burberry, Columbia, Bayer — you definitely know the names. Designed to handle big data, the platform addresses problems associated with data lakes — such as lack of data integrity , poor data quality, and low performance compared to data warehouses. And here are several more reasons in favor of this choice.

Scala 64

Scala Data Lake BI Google Cloud 64

ProjectPro

FEBRUARY 21, 2023

Data engineers and their skills play a crucial role in the success of an organization by making it easier for data scientists , data analysts , and decision-makers to access the data they need to do their jobs. Can design, develop, and implement high-quality data processing systems and machine learning solutions.

Certification 52

Certification Data Engineering Data Engineer Engineering 52