Data Engineering Podcast

JULY 31, 2022

Summary Data lineage is the roadmap for your data platform, providing visibility into all of the dependencies for any report, machine learning model, or data warehouse table that you are working with. Atlan is the metadata hub for your data ecosystem. Data lineage and metadata systems are a hot topic right now.

IT 100

IT Metadata MongoDB MySQL 100

AltexSoft

AUGUST 29, 2023

The term was coined by James Dixon , Back-End Java, Data, and Business Intelligence Engineer, and it started a new era in how organizations could store, manage, and analyze their data. This article explains what a data lake is, its architecture, and diverse use cases. What is a data lake? Who needs a data lake?

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

Monte Carlo

FEBRUARY 12, 2024

To differentiate and expand the usefulness of these models, organizations must augment them with first-party data – typically via a process called RAG (retrieval augmented generation). Today, this first-party data mostly lives in two types of data repositories.

Database 72

Database Unstructured Data Data Pipeline Metadata 72

KDnuggets

MAY 15, 2023

Mojo Lang: The New Programming Language • Stop Doing this on ChatGPT and Get Ahead of the 99% of its Users • 3 Ways to Access GPT-4 for Free • 8 Open-Source Alternative to ChatGPT and Bard • Exploratory Data Analysis Techniques for Unstructured Data

Programming Language 102

Programming Language Programming Unstructured Data Data Analysis 102

Rockset

APRIL 18, 2023

Organizations have continued to accumulate large quantities of unstructured data, ranging from text documents to multimedia content to machine and sensor data. Comprehending and understanding how to leverage unstructured data has remained challenging and costly, requiring technical depth and domain expertise.

Unstructured Data 105

Unstructured Data Metadata Machine Learning SQL 105

Knowledge Hut

NOVEMBER 16, 2023

The increased accessibility of online professional courses and authentic study resources has contributed significantly to bringing up the number of skilled workforces. More and more companies are focusing on hiring data scientists to help them unlock the true potential of their businesses and channelize maximum profits.

IT 52

IT Software Engineer Software Engineering Cloud Computing 52

Snowflake

SEPTEMBER 19, 2023

Why AI has everyone’s attention, what it means for different data roles, and how Alteryx and Snowflake are bringing AI to data use cases There’s a llama on the loose! With all the hoopla around AI, there’s a lot to get up to speed on—especially the implications this technology has for data analytics. Some takeaways?

Machine Learning 94

Machine Learning Unstructured Data Data Analytics Government 94

Snowflake

APRIL 8, 2024

The Innova-Q dashboard provides access to product safety and quality performance data, historical risk data, and analysis results for proactive risk management. It deploys gen AI components as containers on Snowpark Container Services, close to the customer’s data.

Pipeline-centric 126

Pipeline-centric Food Healthcare Unstructured Data 126

Knowledge Hut

APRIL 23, 2024

In the modern data-driven landscape, organizations continuously explore avenues to derive meaningful insights from the immense volume of information available. Two popular approaches that have emerged in recent years are data warehouse and big data. Data warehousing offers several advantages.

Data Warehouse 52

Data Warehouse Big Data Unstructured Data Hadoop 52

Knowledge Hut

APRIL 23, 2024

With the help of big data analytics, we can gain insights from large datasets and reveal previously concealed patterns, trends, and correlations. To fully harness the power of big data, it is crucial to comprehend and address the challenges presented by the four Vs of big data, i.e., Volume, Velocity, Variety, and Veracity.

Big Data 52

Big Data Media Datasets Unstructured Data 52

Snowflake

MAY 9, 2024

From its start with efficient batch processing with data warehouses for descriptive analytics, and the inclusion of streaming data in real time to build recommendations, we find ourselves at the forefront of a new stage of evolution: generative AI (gen AI). It’s already having a real-world impact. “It’s

Unstructured Data 92

Unstructured Data Manufacturing Retail Data Warehouse 92

Monte Carlo

NOVEMBER 9, 2023

And in many ways, LLMs are going to make data engineers more valuable – and that’s exciting! Still, it’s one thing to show your boss a cool demo of a data discovery tool or text-to-SQL generator – it’s another thing to use it with your company’s proprietary data, or even more concerning, customer data.

Unstructured Data 86

Unstructured Data Database Data Pipeline Architecture 86

Monte Carlo

JANUARY 5, 2024

Data lakehouse architecture combines the benefits of data warehouses and data lakes, bringing together the structure and performance of a data warehouse with the flexibility of a data lake. The data lakehouse’s semantic layer also helps to simplify and open data access in an organization.

Architecture 52

Architecture Data Lake Metadata Unstructured Data 52

Monte Carlo

JANUARY 5, 2024

Data lakehouse architecture combines the benefits of data warehouses and data lakes, bringing together the structure and performance of a data warehouse with the flexibility of a data lake. The data lakehouse’s semantic layer also helps to simplify and open data access in an organization.

Architecture 52

Architecture Data Lake Metadata Unstructured Data 52

Knowledge Hut

DECEMBER 21, 2023

In the present-day world, almost all industries are generating humongous amounts of data, which are highly crucial for the future decisions that an organization has to make. This massive amount of data is referred to as “big data,” which comprises large amounts of data, including structured and unstructured data that has to be processed.

Hadoop 52

Hadoop Big Data NoSQL Unstructured Data 52

Cloudera

MARCH 17, 2023

ChatGPT is trained on historical data and depending on how one phrases their question, it may offer inaccurate or misleading information. I took the free version of ChatGPT on a test drive (in March 2023) and asked some simple questions on data lakehouse and its components.

Education 61

Education Unstructured Data Data Lake Data Warehouse 61

Knowledge Hut

DECEMBER 26, 2023

As a result, digital data is everywhere for people looking for work as data scientists. Let's learn more about data science and its importance. What i s Data Science and Why is it Important? In the past, the data was in a structured format, was compact, and could be processed by straightforward BI tools.

Data Science 52

Data Science Unstructured Data Medical Healthcare 52

U-Next

MARCH 12, 2023

As long as a device is equipped with the internet, it can access the data and software programs required to run them. A web data center server’s hardware and operating system are called a “cloud platform.” Customers with an Azure subscription get access to all the services offered through the Azure site.

Cloud Computing 75

Cloud Computing Unstructured Data Cloud Government 75

Precisely

APRIL 30, 2024

These include: Structured data dependence: RPA solutions thrive on well-organized, predictable data. It struggles with unstructured data like emails, scanned documents, or free-form text. Security considerations: RPA bots often require access to various systems and data.

Unstructured Data 59

Unstructured Data Government Data Validation Programming 59

Data Engineering Weekly

APRIL 7, 2024

Poor data quality and unlcear data ownership remains the top challenges for the data teams. Data Mesh continuously gaining popularity among the enterprises. It is a stark difference from the Gartner report about data mesh. I guess only the time will tell who wins in the data mesh vs data fabric war.

Data Engineering 70

Data Engineering Data Engineer Engineering Unstructured Data 70

Snowflake

SEPTEMBER 7, 2023

We are excited to announce the public preview of External Access, which enables customers to reach external endpoints from Snowpark seamlessly and securely. With this announcement, External Access is in public preview on Amazon Web Services (AWS) regions.

Amazon Web Services 116

Amazon Web Services AWS Government Python 116

Cloudyard

APRIL 7, 2023

These functions are used to generate the URL and grant the access based on their authorizations. When users send a file URL to the REST API to access files, Snowflake performs the following actions: Authenticate the user. Only roles that have privileges on the view can access the files. That is, the file URL does not expire.

Unstructured Data 52

Unstructured Data Cloud Storage AWS Accessible 52

Precisely

MAY 13, 2024

If you need to build stronger, faster, and flexible data integration, use this checklist of ten key attributes to streamline your search and find the right technology for your organization, faster. #1. Are these sources a match for all my batch data ingest and change data capture (CDC) needs? #2.

Data Integration 52

Data Integration Metadata Amazon Web Services Data Governance 52

DareData

MARCH 5, 2024

Positioned as the first commercial application of its kind within NOS , this chatbot serves as a gateway for customers to access information about NOS services seamlessly. Empowering sales consultants and assistants to converse in the language of SQL, it enables swift access to critical client information. Try it for yourself !

Database-centric 52

Database-centric Telecommunication SQL Unstructured Data 52

Towards Data Science

APRIL 6, 2023

In today’s age of digital business, an increasing number of decisions companies make when it comes to delivering customer experience, building trust, and shaping their business strategy begins with accurate data. Data quality is critical to delivering good customer experiences.

Unstructured Data 82

Unstructured Data Metadata Data Coding 82

Knowledge Hut

APRIL 26, 2024

Datasets are often related to a particular type of problem and machine learning models can be built to solve those problems by learning from the data. Every problem statement we are dealing with comprises of data, which helps us better understand the problem and draw better insights from data by applying ML methods.

Datasets 98

Datasets Machine Learning Deep Learning Finance 98

Knowledge Hut

APRIL 23, 2024

The world has been dealing with big data for a long time now, and we have come up with several ways to manage and employ it to benefit our industries, schools, governments, and defense systems. As big data evolves and unravels more technology secrets, it might help users achieve ambitious targets. Top 10 Disadvantages of Big Data 1.

Big Data 52

Big Data Media Government Big Data Skills 52

Cloudera

DECEMBER 19, 2023

Limit access and capabilities initially. Ensure you can trust your data by using only diverse, high-quality training data that represents different demographics and viewpoints. Trust your data. I’ll highlight some key insights and takeaways from my conversations in the paragraphs that follow. Improve dataset quality.

Government 86

Government Education Unstructured Data Datasets 86

Knowledge Hut

DECEMBER 22, 2023

It was released as a standalone product in July 2015 after adding more features including enterprise-level data connectivity and security options, apart from its original Excel features like Power Query, Power Pivot, and Power View. Microsoft developed it and combines business analytics, data visualization, and best practices.

BI 98

BI Business Intelligence Machine Learning SQL 98

Knowledge Hut

SEPTEMBER 26, 2023

Businesses require an infrastructure that educates their staff to sort and analyze this volume of data to handle such big data. Data engineering services can be used in this situation. Data engineers work on the data to organize and make it usable with the aid of cloud services.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Knowledge Hut

JANUARY 18, 2024

Entering the field of data science can be extremely rewarding and beneficial to your career due to its tremendous future advancement opportunities. Data Scientists collect, analyze, and interpret large amounts of data. Using advanced analytical tools, a data scientist interprets data and presents it in meaningful information.

Data Science 98

Data Science Business Analyst ETL Method Data Architect 98

Knowledge Hut

JANUARY 18, 2024

The need for Data scientists is ever-increasing, and it is bound to provide career growth in the future. Data Science Companies are always looking for people with more qualifications to better their industry. In such a case, Data Science online courses are a great way to determine if this career option is right for you.

Data Science 98

Data Science Amazon Web Services Finance Big Data 98

Cloudera

JANUARY 28, 2022

Then there are the more extensive discussions – scrutiny of the overarching, data strategy questions related to privacy, security, data governance /access and regulatory oversight. These are not straightforward decisions, especially when data breaches always hit the top of the news headlines.

Cloud 111

Cloud Banking Data Governance Government 111

Cloudera

OCTOBER 28, 2020

To start, they look to traditional financial services data, combining and correlating account activity, borrowing history, core banking, investments, and call center data. Below are three examples of customers that have utilized enhanced data and analytics to advance their customer experience initiatives: .

Unstructured Data 70

Unstructured Data Banking Machine Learning Media 70

ProjectPro

JANUARY 27, 2023

Top 7 Data Science Applications in Finance Financial technology, or FinTech, refers to the use of technology by providers of financial services to optimize the usage and delivery of their services to customers. Algorithmic Trading Algorithmic trading is an exciting real-world application of data science in finance.

Finance 52

Finance Data Science Unstructured Data Algorithm 52

Data Engineering Weekly

MARCH 3, 2024

This approach led to a successful expansion of Copilot access across the engineering team, resulting in a significant increase in productivity and adoption, demonstrating a commitment to enhancing developer experience while maintaining safety and security standards. Part 1: Why did we need to build our own SIEM?

Data Engineering 67

Data Engineering Data Engineer Pipeline-centric Engineering 67

U-Next

MARCH 1, 2023

A good Data Engineer will also have experience working with NoSQL solutions such as MongoDB or Cassandra, while knowledge of Hadoop or Spark would be beneficial. In 2022, data engineering will hold a share of 29.8% Being a hybrid role, Data Engineer requires technical as well as business skills.

Data Engineering 75

Data Engineering Data Engineer Non-relational Database Engineering 75