Data Engineering Podcast

FEBRUARY 11, 2018

Contact Info Ajay LinkedIn @acoustik on Twitter Timescale Blog Mike Website LinkedIn @michaelfreedman on Twitter Timescale Blog Timescale Website @timescaledb on Twitter GitHub Parting Question From your perspective, what is the biggest gap in the tooling or technology for data management today?

PostgreSQL 100

PostgreSQL NoSQL Google Cloud MongoDB 100

Data Engineering Podcast

MARCH 11, 2018

Contact Info Website pramodsadalage on GitHub @pramodsadalage on Twitter Parting Question From your perspective, what is the biggest gap in the tooling or technology for data management today? You first co-authored Refactoring Databases in 2006. What do you see as the biggest challenges facing us over the next few years?

Database 100

Database MongoDB NoSQL Insurance 100

Knowledge Hut

DECEMBER 26, 2023

Thus, to build a career in Data Science, you need to be familiar with how the business operates, its business model, strategies, problems, and challenges. Data Science Roles As Data Science is a broad field, you will find multiple different roles with different responsibilities.

Data Science 97

Data Science BI Business Intelligence Data Mining 97

Data Engineering Podcast

MAY 6, 2019

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management When you’re ready to build your next pipeline, or want to test out the projects you hear about on the show, you’ll need somewhere to deploy it, so check out our friends at Linode.

Systems 100

Systems MongoDB NoSQL Database 100

Data Engineering Podcast

APRIL 14, 2024

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management This episode is brought to you by Datafold – a testing automation platform for data engineers that prevents data quality issues from entering every part of your data workflow, from migration to dbt deployment.

Non-relational Database 147

Non-relational Database Relational Database Database Designing 147

Cloud Academy

JANUARY 27, 2022

Ability to communicate complex concepts and visualize them Data engineers will need to collaborate with customers, integration partners, and internal technology teams. The path will help you understand common data formats you might encounter as a data engineer, starting with SQL. Rely on the real information to guide you.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Knowledge Hut

JUNE 20, 2023

Let's find out the differences between a data scientist and a machine learning engineer below to make an informative decision. Data Engineer vs Machine Learning Engineer While there are similarities between a data engineer and a machine learning engineer, both play a key role in the technological world.

Machine Learning 52

Machine Learning Data Engineering Data Engineer Engineering 52

Knowledge Hut

SEPTEMBER 6, 2023

Why Should You Take Big Data Certification? Taking Big Data Certification has multifold benefits. It would immensely help people who are working with big data technologies, want to switch into big data technologies, and even other software professionals in terms of technological-awareness.

Big Data 52

Big Data Certification Hadoop Scala 52

Knowledge Hut

JANUARY 23, 2024

The ever-changing landscape of technology demands versatility, making the hiring of a Full Stack Developer a strategic move for several reasons. Proficiency with Linux, PHP, Apache, MySQL, Express.js, Node.js, AngularJS, and other technologies is crucial for backend development.

MongoDB 98

MongoDB Programming Language Java MySQL 98

Knowledge Hut

SEPTEMBER 6, 2023

Over the past decade, the IT world transformed with a data revolution. The rise of big data and NoSQL changed the game. Systems evolved from simple to complex, and we had to split how we find data from where we store it. MongoDB Associate DBA Exam The associated exam is C100DBA. Now, it's different.

Database 52

Database Certification MongoDB MySQL 52

Knowledge Hut

APRIL 25, 2024

Hence, it is no wonder that people who have in-depth knowledge about the technicalities and technologies involved in this field are always in high demand. In addition, the applicant should acquire a solid understanding of frontend platforms and technologies, including HTML5, SASS, JavaScript, and CSS3. to manage DBMS.

Programming Language 98

Programming Language Java Algorithm MySQL 98

Knowledge Hut

DECEMBER 21, 2023

Data engineering involves a lot of technical skills like Python, Java, and SQL (Structured Query Language). For a data engineer career, you must have knowledge of data storage and processing technologies like Hadoop, Spark, and NoSQL databases. What are the Data Engineer Career Opportunities?

Data Engineering 52

Data Engineering Data Engineer Engineering MongoDB 52

ProjectPro

APRIL 8, 2015

With the demand for big data technologies expanding rapidly, Apache Hadoop is at the heart of the big data revolution. It is labelled as the next generation platform for data processing because of its low cost and ultimate scalable data processing capabilities. billion by 2020.

Hadoop 40

Hadoop Big Data Data Solutions Amazon Web Services 40

ProjectPro

NOVEMBER 14, 2015

As we step into the latter half of the present decade, we can’t help but notice the way Big Data has entered all crucial technology-powered domains such as banking and financial services, telecom, manufacturing, information technology, operations, and logistics. Data Integration 3.Scalability Scalability 4.Link

Hadoop 52

Hadoop Project Big Data Healthcare 52

ProjectPro

MARCH 19, 2015

Big Data NoSQL databases were pioneered by top internet companies like Amazon, Google, LinkedIn and Facebook to overcome the drawbacks of RDBMS. RDBMS is not always the best solution for all situations as it cannot meet the increasing growth of unstructured data.

NoSQL 49

NoSQL Big Data SQL Database-centric 49

DareData

JANUARY 30, 2023

They can be simple or complex, and they can involve multiple steps, technologies or formats such as CSV, Tabular or JSON formats. For data scientists, these skills are extremely helpful when it comes to manage and build more optimized data transformation processes, helping models achieve better speed and relability when set in production.

Data Engineering 52

Data Engineering Data Engineer NoSQL Engineering 52

Edureka

JANUARY 18, 2024

This guide provides a comprehensive understanding of the essential skills and knowledge required to become a successful data scientist, covering data manipulation, programming, mathematics, big data, deep learning, and machine learning technologies. Table of Contents Introduction to Data Science What is Data Science?

Data Science 40

Data Science Deep Learning NoSQL Machine Learning 40

Knowledge Hut

SEPTEMBER 6, 2023

Once the data is tailored to your requirements, it then should be stored in a warehouse system, where it can be easily used by applying queries. Some of the most popular database management tools in the industry are NoSql, MongoDB and oracle. You will become accustomed to challenges that you will face in the industry.

Data Science 97

Data Science Certification Business Analyst Machine Learning 97

AltexSoft

JUNE 26, 2023

Read our article on Hotel Data Management to have a full picture of what information can be collected to boost revenue and customer satisfaction in hospitality. While all three are about data acquisition, they have distinct differences. Data integration , on the other hand, happens later in the data management flow.

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52

AltexSoft

MAY 14, 2021

What is Big Data analytics? Big Data analytics is the process of finding patterns, trends, and relationships in massive datasets that can’t be discovered with traditional data management techniques and tools. The best way to understand the idea behind Big Data analytics is to put it against regular data analytics.

Big Data 78

Big Data Data Analytics IT NoSQL 78

AltexSoft

JULY 29, 2022

The biggest star of the Big Data world, Hadoop was named after a yellow stuffed elephant that belonged to the 2-year son of computer scientist Doug Cutting. The toy became the official logo of the technology, used by the major Internet players — such as Twitter, LinkedIn, eBay, and Amazon. The Hadoop toy. Fault tolerance.

Hadoop 59

Hadoop Big Data Google Cloud NoSQL 59

Knowledge Hut

DECEMBER 27, 2023

Ecommerce businesses like Alibaba, Amazon use big data in a massive way. Time Saving: Various big data tools and technologies help businesses to collect data from various sources in real-time and analyze it immediately thereby helping the businesses in making fast decisions based on the insights received.

Big Data Tools 59

Big Data Tools Big Data Hadoop Database-centric 59

ProjectPro

JANUARY 19, 2022

More people, organizations, corporations, and other entities use data daily. Earlier, people focused more on meaningful insights and analysis but realized that data management is just as important. As a result, the role of data engineer has become increasingly important in the technology industry.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

AltexSoft

OCTOBER 8, 2021

The bad news is, integrating data can become a tedious task, especially when done manually. Luckily, there are various data integration tools that support automation and provide a unified data view for more efficient data management. Data integration process. They include NoSQL databases (e.g.,

Data Integration 52

Data Integration Hadoop Data Warehouse Data Lake 52

ProjectPro

JANUARY 31, 2023

The Big data market was worth USD 162.6 Big data enables businesses to get valuable insights into their products or services. Almost every company employs data models and big data technologies to improve its techniques and marketing campaigns. Define Big Data and Explain the Seven Vs of Big Data.

Big Data 52

Big Data Hadoop AWS Relational Database 52

AltexSoft

NOVEMBER 23, 2021

Multiple BI tools require access to the same data sources. Let’s take a look at real-world use cases to see how companies operating in different industries leverage data virtualization technology. Global investment bank: Cost reduction with more scalable and effective data management.

Process 69

Process Data Lake Metadata Data Warehouse 69

AltexSoft

MAY 12, 2023

Unstructured data refers to information that lacks a predefined format or organization. In contrast, big data refers to large volumes of structured and unstructured data that are challenging to process, store, and analyze using traditional data management tools. Common formats include XML, JSON, and CSV.

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

ProjectPro

JULY 27, 2021

This blog is your one-stop solution for the top 100+ Data Engineer Interview Questions and Answers. In this blog, we have collated the frequently asked data engineer interview questions based on tools and technologies that are highly useful for a data engineer in the Big Data industry.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

AltexSoft

MARCH 14, 2023

This development has paved the way for a suite of cloud-native data tools that are user-friendly, scalable, and affordable. Known as the Modern Data Stack (MDS) , this suite of tools and technologies has transformed how businesses approach data management and analysis. Let’s discuss them in more detail.

IT 59

IT Data Warehouse Data Governance Data Lake 59