Data Engineering Podcast

DECEMBER 11, 2022

Summary Data is one of the core ingredients for machine learning, but the format in which it is understandable to humans is not a useful representation for models. Embedding vectors are a way to structure data in a way that is native to how models interpret and manipulate information. images, audio, video, etc.)

Unstructured Data 100

Unstructured Data Machine Learning Data Engineering Data Engineer 100

Knowledge Hut

FEBRUARY 29, 2024

Learning inferential statistics website: wallstreetmojo.com, kdnuggets.com Learning Hypothesis testing website: stattrek.com Start learning database design and SQL. A database is a structured data collection that is stored and accessed electronically. Considering this information database model is fitted with data.

Data Science 98

Data Science Datasets Database Design Machine Learning 98

Knowledge Hut

DECEMBER 26, 2023

The responsibilities of Data Analysts are to acquire massive amounts of data, visualize, transform, manage and process the data, and prepare data for business communications. Data Analysts require good knowledge of Mathematics and Statistics, Coding, and Machine Learning.

Data Science 97

Data Science BI Business Intelligence Data Mining 97

U-Next

MARCH 1, 2023

They build scalable data processing pipelines and provide analytical insights to business users. A Data Engineer also designs, builds, integrates, and manages large-scale data processing systems. Let’s take a look at Morgan Stanley interview question : What is data engineering? What is AWS Kinesis?

Data Engineering 75

Data Engineering Data Engineer Non-relational Database Engineering 75

Knowledge Hut

JUNE 28, 2023

Focus Exploration and discovery of hidden patterns and trends in data. Reporting, querying, and analyzing structured data to generate actionable insights. Data Sources Diverse and vast data sources, including structured, unstructured, and semi-structured data.

Data Mining 52

Data Mining Business Intelligence BI Datasets 52

Snowflake

MARCH 14, 2024

Glue provides a simple, direct way for organizations with SAP systems to quickly and securely ingest SAP data into Snowflake. It sits on the application layer within SAP, which makes almost any structured data accessible and available for change data capture (CDC).

IT 93

IT Data Ingestion Data AWS 93

Data Engineering Weekly

APRIL 7, 2024

link] Spotify: Data Platform Explained In the ever-evolving landscape of data-driven decision-making, a well-structured data platform emerges as a critical asset. Spotify shares some of the critical triggers in an organization that leads to build data platform.

Data Engineering 70

Data Engineering Data Engineer Engineering Unstructured Data 70

phData: Data Engineering

SEPTEMBER 19, 2023

This data can be structured, semi-structured, or unstructured and comes from various sources such as databases, IoT devices, log files, etc. What are Data Modeling Methodologies, and Why Are They Important for a Data Lake?

Data Lake 52

Data Lake Process Metadata Data Warehouse 52

Ascend.io

FEBRUARY 28, 2024

Read More: AI Data Platform: Key Requirements for Fueling AI Initiatives How Data Engineering Enables AI Data engineering is the backbone of AI’s potential to transform industries , offering the essential infrastructure that powers AI algorithms.

Data Engineering 52

Data Engineering Data Engineer Engineering Metadata 52

Precisely

APRIL 30, 2024

With a complex data validation process, for example, an RPA bot might struggle to identify and handle unexpected errors. Brittle by design: RPA bots rely heavily on applications’ user interface (UI). These include: Structured data dependence: RPA solutions thrive on well-organized, predictable data.

Unstructured Data 59

Unstructured Data Government Data Validation Programming 59

Data Engineering Podcast

AUGUST 31, 2020

Your host is Tobias Macey and today I’m interviewing Eldad Farkash about Firebolt, a cloud data warehouse optimized for speed and elasticity on structured and semi-structured data Interview Introduction How did you get involved in the area of data management?

Data Warehouse 100

Data Warehouse Cloud Building Data Lake 100

Knowledge Hut

MARCH 27, 2024

Storage Format Stored in tables with rows and columns, often using SQL (Structured Query Language). depending on the specific data structure used. Purpose Designed to store and retrieve large volumes of data efficiently and support complex queries. Supports complex query relationships and ensures data integrity.

Database 52

Database Algorithm Relational Database PostgreSQL 52

Precisely

MARCH 9, 2023

A data warehouse implies a certain degree of preprocessing, or at the very least, an organized and well-defined data model. Data lakes, in contrast, are designed as repositories for all kinds of information, which might not initially be organized and structured. They are malleable.

Data Lake 59

Data Lake Data Warehouse Hadoop Raw Data 59

AltexSoft

AUGUST 29, 2023

The goal is to provide a comprehensive guide that can be a navigational tool for all specialists plotting their course in today’s data-driven world. What is a data lake? A data lake is a centralized repository designed to hold vast volumes of data in its native, raw format — be it structured, semi-structured, or unstructured.

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

Snowflake

SEPTEMBER 19, 2023

But when you take deep learning, ML, AI and LLMs, this is really enabling a newer kind of insights from a newer kind of data set, and data that we’ve never even looked at. I was looking at some statistic that at any typical company, more than 80% of the data is unstructured. We’ve been doing analytics on structured data only.

Machine Learning 95

Machine Learning Unstructured Data Data Analytics Government 95

Knowledge Hut

NOVEMBER 3, 2023

MongoDB is used for data science, meaning that we utilize the capabilities of this NoSQL database system as part of our data analysis and data modeling processes, which fall under the realm of data science. There are several benefits to MongoDB for data science operations.

MongoDB 52

MongoDB Data Science NoSQL ETL Tools 52

Knowledge Hut

NOVEMBER 16, 2023

Unlike traditional AI systems, which primarily focus on data analysis and decision-making on the basis of previously collected data, Generative AI takes a step further by leveraging its grasp of patterns and data to produce completely fresh information. It learns from each design iteration, refining and optimizing the process.

Medical 52

Medical Healthcare Hospitality Entertainment 52

Knowledge Hut

MAY 31, 2023

Resume Parser Language: Python Data set: text file Source code: keras-english-resume-parser-and-analyzer An AI-powered tool called a resume parser pulls pertinent data from resumes or CVs and turns it into structured data.

Project 96

Project Healthcare Deep Learning Transportation 96

Data Engineering Podcast

FEBRUARY 9, 2020

Summary Designing the structure for your data warehouse is a complex and challenging process. As businesses deal with a growing number of sources and types of information that they need to integrate, they need a data modeling strategy that provides them with flexibility and speed.

Data Lake 100

Data Lake Data Warehouse Hadoop NoSQL 100

Knowledge Hut

OCTOBER 30, 2023

Data Modeling: Support the development of data models by creating or maintaining simple data relationships and hierarchies. Report and Dashboard Design: Assist in creating basic reports and dashboards using Power BI Desktop. Help in designing layouts and adding visual elements like charts, tables, and filters.

BI 52

BI Business Intelligence Data Cleanse Business Analyst 52

Cloudera

NOVEMBER 15, 2021

In terms of representation, data can be broadly classified into two types: structured and unstructured. Structured data can be defined as data that can be stored in relational databases, and unstructured data as everything else.

Unstructured Data 88

Unstructured Data Pipeline-centric Database-centric Entertainment 88

Cloudera

JUNE 7, 2022

We live in a hybrid data world. In the past decade, the amount of structured data created, captured, copied, and consumed globally has grown from less than 1 ZB in 2011 to nearly 14 ZB in 2020. Impressive, but dwarfed by the amount of unstructured data, cloud data, and machine data – another 50 ZB.

IT 110

IT Unstructured Data Data Architecture Government 110

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

Knowledge Hut

JANUARY 19, 2024

By delving into the realm of data science, you're not just learning skills; you're gaining a passport to a world of opportunities. From honing your statistical prowess to mastering programming and algorithms, our program is meticulously designed to empower you with the arsenal needed to excel in this field.

Data Science 52

Data Science Machine Learning Datasets Algorithm 52

Cloudera

JUNE 3, 2022

Data scientists and machine learning engineers in enterprise organizations need to fully understand their data in order to properly analyze it, build models, and power machine learning use cases across their business. Data scientists are likely to use a variety of different tools to move through their processes.

Data Analysis 90

Data Analysis PostgreSQL Data Science SQL 90

Monte Carlo

FEBRUARY 27, 2024

These databases are not just a trend, but a fundamental shift in how data is managed, accessed, and utilized in real-time AI applications. A vector database is a specialized type of database designed to store, manage, and retrieve complex, multi-dimensional data vectors.

Data Engineering 59

Data Engineering Data Engineer Engineering High Quality Data 59

Knowledge Hut

MARCH 27, 2024

An algorithm design cheat sheet is a useful tool for engineers and machine learning specialists to prepare for managing algorithm design chores. Understanding the behavior of the data is essential before creating any algorithms. We currently possess every cheat sheet needed to manage the data.

Machine Learning 52

Machine Learning Deep Learning Algorithm Certification 52

DataKitchen

FEBRUARY 27, 2024

By adopting a DataOps approach, organizations can enhance their Data Journey management, ensuring that data is not only of high quality but also that its flow is efficient, transparent, and aligned with the needs of LLMs and other AI models.

Data Engineering 48

Data Engineering Data Engineer Engineering Unstructured Data 48

Towards Data Science

JUNE 8, 2023

Now, let’s take a closer look at the strengths and weaknesses of the most popular data quality team structures. Data engineering Photo by Luke Chesser on Unsplash Having the data engineering team lead the response to data quality is by far the most common pattern.

Data Governance 79

Data Governance Government Generalist Data Engineering 79

Knowledge Hut

JANUARY 3, 2024

Finally, the relational model offers security features that protect data from unauthorized access and modification. These features are critical for businesses that must ensure their data's confidentiality. Conclusion A relational model is a powerful tool for managing data in a DBMS.

MongoDB 52

MongoDB Relational Database Database Accessible 52

Monte Carlo

JUNE 6, 2023

Now, let’s take a closer look at the strengths and weaknesses of the most popular data quality team structures. Data engineering Having the data engineering team lead the response to data quality is by far the most common pattern. It is deployed by about half of all organizations that use a modern data stack.

Data Governance 98

Data Governance Government Data Data Engineering 98

Edureka

FEBRUARY 8, 2024

Catering to Different Workload Requirements- AWS instance types are designed to address a wide spectrum of workload requirements. For example, the Compute Optimized (C) family might be suitable for applications demanding high computational power, while the Memory Optimized (M) family is designed for memory-intensive workloads.

AWS 52

AWS NoSQL Deep Learning Datasets 52

Rockset

MAY 13, 2021

Challenges Application Builders Face Analytics systems were not designed for speed - Many analytics systems were built for batch and slow queries and so it's challenging to retrofit these systems for the millisecond latency queries requirements of real time analytics and to do that in a compute efficient way.

Aggregated Data 52

Aggregated Data Algorithm Machine Learning Structured Data 52

Knowledge Hut

DECEMBER 29, 2023

One of the primary focuses of a Data Engineer's work is on the Hadoop data lakes. NoSQL databases are often implemented as a component of data pipelines. The Lambda design supports both batch processing and real-time operations. It separates the hidden links and patterns in the data.

Data Science 98

Data Science Data Mining Deep Learning Programming Language 98

Edureka

AUGUST 2, 2023

It provides a comprehensive set of tools and libraries for data manipulation, analysis, and visualization. R is particularly useful in data science due to its extensive collection of packages and functions designed for statistical modeling, machine learning, and data visualization.

Programming Language 52

Programming Language Programming Scala Pharmaceutical 52

Rockset

DECEMBER 17, 2021

Rockset is a real-time analytics database designed for sub-second queries and real-time ingest. The Rockset deployment process was simple: Create a DynamoDB integration Create a collection (which is like a table) for each of our DynamoDB tables Using their dbt adapter , create views which are updated in real-time as new data arrives.

SQL 52

SQL NoSQL Database Design Metadata 52

Knowledge Hut

DECEMBER 26, 2023

Downey and Ben Lauwens) Beginning Julia Programming: For Engineers and Scientists (Author: Sandeep Nagar) Hands-On Design Patterns and Best Practices with Julia: Proven solutions to common problems in software design for Julia 1.x Some reliable books you can refer to on this subject are listed below:-.

Data Science 52

Data Science Scala Programming Language R (Programming) 52