Knowledge Hut

APRIL 25, 2023

The tremendous growth in data generation, then the rise in data engineer jobs - there’s no arguing the fact that the big data industry is at its best pace and you, as an aspiring data engineer, have a lot to learn and make out of it - including some tools! While they go about it - enter big data data engineer tools.

Data Engineering 52

Data Engineering Data Engineer Engineering Google Cloud 52

ProjectPro

OCTOBER 18, 2021

Machine Learning Projects are the key to understanding the real-world implementation of machine learning algorithms in the industry. Recommender System Projects Have you ever seen movies or web series on online streaming platforms? It contains all the attributes you need to build your stock price prediction system.

Machine Learning 52

Machine Learning Project Datasets Algorithm 52

Knowledge Hut

JULY 26, 2023

Veracity meaning in big data is the degree of accuracy and trustworthiness of data, which plays a pivotal role in deriving meaningful insights and making informed decisions. This blog will delve into the importance of veracity in Big Data, exploring why accuracy matters and how it impacts decision-making processes.

Big Data 52

Big Data Data Cleanse Retail Healthcare 52

Knowledge Hut

MARCH 22, 2024

The C programming language plays a crucial role in Data Structure and Algorithm (DSA). Since C is a low-level language, it allows for direct memory manipulation, which makes it perfect for implementing complex data structures and algorithms efficiently. What is a Data Structure?

Algorithm 52

Algorithm Programming Language Software Engineer Software Engineering 52

Rockset

MAY 21, 2021

The latest data is fed into an algorithm that spits out the live order status to pizza lovers. It enabled the brand to go viral and showed that investments in real-time big data analytics attracted customers (and made for pretty cool commercials). The Dominos’ Pizza Tracker is the quintessential example of real-time analytics.

Retail 40

Retail Algorithm Big Data Data Analytics 40

Zalando Engineering

FEBRUARY 7, 2018

Google web search), products are structured data. At the core, Solr/Elasticsearch is a symbolic information retrieval (IR) system. In this post, I will reveal some drawbacks of such a symbolic-pipeline approach, and then present an end-to-end way of building a product search system from query logs using Tensorflow.

Deep Learning 40

Deep Learning Architecture Retail Coding 40

ProjectPro

SEPTEMBER 26, 2021

Big Data Engineer is one of the most popular job profiles in the data industry. Read this blog to find out! This blog on Big Data Engineer salary gives you a clear picture of the salary range according to skills, countries, industries, job titles, etc. Big Data gets over 1.2 Is it actually worth pursuing?

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

ProjectPro

SEPTEMBER 14, 2016

Many ProjectPro students looking to make transition into big data hadoop careers often want to know in detail about the hadoop developer job roles and responsibilities before they enrol for a hadoop training. Here’s a blog post that answers the question and details out the job responsibilities of a hadoop developer.

Hadoop 40

Hadoop Unstructured Data Java Big Data 40

Knowledge Hut

APRIL 25, 2024

Information Technology uses computer systems or devices to access information. This system is responsible for a large portion of any workforce, business operation, and other personal access information comprising an individual's daily activities. It is looked after by the Database Management System (DBMS). They are: 1.

Technology 52

Technology Recruitment Media Cloud Computing 52

Knowledge Hut

MARCH 20, 2024

The ideas of data types and structures are essential cornerstones in computer science and software engineering that support the development, application, and optimization of algorithms and methods for manipulating data. This blog will emphasize the difference between data type and data structure.

Computer Science 52

Computer Science Programming Language Algorithm Software Engineer 52

Knowledge Hut

DECEMBER 26, 2023

This mainly happened because data that is collected in recent times is vast and the source of collection of such data is varied, for example, data collected from text files, financial documents, multimedia data, sensors, etc. This is one of the major reasons behind the popularity of data science.

Data Engineering 98

Data Engineering Data Engineer Engineering Pipeline-centric 98

Knowledge Hut

NOVEMBER 17, 2023

After the introduction of cloud computing, the need for managing expanding data is getting more critical. But running complex algorithms on personal machines is getting challenging due to memory and computing constraints. People started leveraging the cloud's power to run complex algorithms to solve these challenges.

AWS 52

AWS Data Science Certification Amazon Web Services 52

Snowflake

MARCH 30, 2023

Data Vault as a practice does not stipulate how you transform your data, only that you follow the same standards to populate business vault link and satellite tables as you would to populate raw vault link and satellite tables. Based on Tecton blog So is this similar to data engineering pipelines into a data lake/warehouse?

Engineering 82

Engineering Raw Data Data Science Scala 82

ProjectPro

JANUARY 25, 2022

Here’s What You Need to Know About PySpark This blog will take you through the basics of PySpark, the PySpark architecture, and a few popular PySpark libraries , among other things. Finally, you'll find a list of PySpark projects to help you gain hands-on experience and land an ideal job in Data Science or Big Data.

Big Data 52

Big Data Data Process Process Kafka 52

Pinterest Engineering

NOVEMBER 28, 2023

It performs data validation, denylist processing, sharding, deserializing multiple metrics formats, and serializing the data into a customized Time Series Database (TSDB) format that can be used by downstream storage engine: Goku. Pinterest metrics system Goku-Ingestor has been running and evolving for close to a decade.

Kafka 81

Kafka Bytes Architecture Utilities 81

Data Engineering Weekly

MARCH 24, 2023

Data creation is often the differentiator between the success & the failure of a data team. A business process or workflow engine is a software system that enables businesses to execute well-defined steps to complete a user’s intention. Event Sourcing Change Data Capture [CDC] Outbox pattern 1.

Engineering 67

Engineering Data Transportation Database 67

U-Next

AUGUST 26, 2022

The communications system is growing quickly in the modern world. Datasets are growing increasingly complicated due to an increase in the volume of data produced on the web. Searching in Data Structure enables the efficient retrieval of individual elements from a collection, such as a specific record from a database.

Algorithm 40

Algorithm Data Utilities Data Science 40

Edureka

AUGUST 2, 2023

Raw data, however, is frequently disorganised, unstructured, and challenging to work with directly. Data processing analysts can be useful in this situation. Let’s take a deep dive into the subject and look at what we’re about to study in this blog: Table of Contents What Is Data Processing Analysis?

Data Process 52

Data Process Process Data Cleanse Data Mining 52

ProjectPro

MAY 20, 2015

There are several big data and business analytics companies that offer a novel kind of big data innovation through unprecedented personalization and efficiency at scale. Which big data analytic companies are believed to have the biggest potential?

Big Data 40

Big Data Hadoop Business Analyst Unstructured Data 40

Netflix Tech

JULY 21, 2022

Since memory management is not something one usually associates with classification problems, this blog focuses on formulating the problem as an ML problem and the data engineering that goes along with it. It also prevents the system running out of memory during execution of the query. Labeling the data?

Machine Learning 71

Machine Learning Datasets Big Data Data Pipeline 71

ProjectPro

OCTOBER 20, 2021

If you are unsure, be vocal about your thought process and the way you are thinking – take inspiration from the examples below and explain the answer to the interviewer through your learnings and experiences from data science and machine learning projects. AutoKeras is the AutoML system that is based on Keras.

Machine Learning 52

Machine Learning Algorithm Government Data Science 52

U-Next

OCTOBER 25, 2022

Translating data into the required format facilitates cleaning and mapping for insight extraction. . A detailed explanation of the data manipulation concept will be presented in this blog, along with an in-depth exploration of the need for businesses to have data manipulation tools. What Is Data Manipulation? .

Business Intelligence 40

Business Intelligence Raw Data Data Cleanse Data Analysis 40

Knowledge Hut

JULY 24, 2023

Performance and efficiency are crucial in the area of database management systems (DBMS). The demand for speedy and effective data retrieval increases as databases get bigger and more complicated. This blog will focus on indexing in DBMS and its types to help you optimize data retrieval and enhance overall performance.

Database 52

Database Utilities Datasets Accessible 52

Ascend.io

JUNE 8, 2023

However, transforming data into a product so that it can deliver outsized business value requires more than just a mission statement; it requires a solid foundation of technical capabilities and a truly data-centric culture. This multitude of sources often causes a dispersed, complex, and poorly structured data landscape.

Pipeline-centric 52

Pipeline-centric Database-centric Data Ingestion Data Pipeline 52

ProjectPro

JANUARY 24, 2023

Tired of relentlessly searching for the most effective and powerful data warehousing solutions on the internet? This blog is your comprehensive guide to Google BigQuery, its architecture, and a beginner-friendly tutorial on how to use Google BigQuery for your data warehousing activities. Search no more! Did you know ?

Bytes 52

Bytes Google Cloud Data Warehouse Datasets 52

ProjectPro

MARCH 12, 2016

Reader's Choice: The topic for this article has been recommended by one of our Blog subscribers. PB of data; - $250 billion worth of payments processed every year; -12.5 At PayPal the raw clickstream data is processed in Hadoop through a cleaning phase. Interested to know how much a data scientist at PayPal earns?

Big Data 52

Big Data Data Analytics Hadoop Algorithm 52

ProjectPro

AUGUST 24, 2021

Data professionals who work with raw data like data engineers, data analysts, machine learning scientists , and machine learning engineers also play a crucial role in any data science project. And, out of these professions, this blog will discuss the data engineering job role.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

Cloudera

SEPTEMBER 6, 2018

Given what we know about current anti-money laundering systems, if we wanted to build one from scratch today, we might come up with the following requirements. The system must: Ingest, process, analyze, store, and serve all types of AML data, be it structured (database tables), unstructured (contracts, e-mails, etc.),

Banking 40

Banking Machine Learning Big Data Scala 40

Cloudera

OCTOBER 30, 2018

451 Research Analyst Sheryl Kingstone, and Cloudera’s Steve Totman recently discussed how a growing number of organizations are replacing legacy Customer 360 systems with Customer Insights Platforms ( watch the replay here ). Businesses have primarily invested in systems of record, such as legacy CRM and ERP, to serve this purpose.

Unstructured Data 42

Unstructured Data Data Lake Algorithm Machine Learning 42

ProjectPro

NOVEMBER 15, 2021

As per the surveyors, Big data (35 percent), Cloud computing (39 percent), operating systems (33 percent), and the Internet of Things (31 percent) are all expected to be impacted by open source shortly. Following these statistics, big data is set to get bigger with the evolution of open-source projects.

Big Data 52

Big Data Project Metadata Programming Language 52

Netflix Tech

DECEMBER 14, 2018

In the previous blog posts in this series, we introduced the N etflix M edia D ata B ase ( NMDB ) and its salient “Media Document” data model. In this post we will provide details of the NMDB system architecture beginning with the system requirements?—?these key value stores generally allow storing any data under a key).

Media 94

Media Database Metadata Data Schemas 94

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. Why was Apache Spark developed?

Hadoop 40

Hadoop Scala Machine Learning Java 40

ProjectPro

NOVEMBER 22, 2021

Transformations on partitioned data run quicker since each partition's transformations are executed in parallel. Partitioning in memory (DataFrame) and partitioning on disc (File system) are both supported by PySpark. MapReduce Apache Spark Only batch-wise data processing is done using MapReduce.

Hadoop 52

Hadoop Python Datasets Metadata 52

ProjectPro

JANUARY 31, 2023

If you're looking to break into the exciting field of big data or advance your big data career, being well-prepared for big data interview questions is essential. Get ready to expand your knowledge and take your big data career to the next level! But the concern is - how do you become a big data professional?

Big Data 52

Big Data Hadoop AWS Relational Database 52

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

Cloudera

JANUARY 22, 2019

Today’s data landscape is characterized by exponentially increasing volumes of data, comprising a variety of structured, unstructured, and semi-structured data types originating from an expanding number of disparate data sources located on-premises, in the cloud, and at the edge.

Big Data 44

Big Data NoSQL Data Lake Hadoop 44

Netflix Tech

OCTOBER 31, 2018

the Media Timeline Data Model In the previous post in this series, we described some important Netflix business needs as well as traits of the media data system?—?called The curious reader might have noticed that a majority of these characteristics relate to properties of the data managed by NMDB.

Media 54

Media Metadata Data MongoDB 54