Data Engineering Weekly

MAY 5, 2024

The motivation for Machine Unlearning is critical from the privacy perspective and for model correction, fixing outdated knowledge, and access revocation of the training dataset. link] LinkedIn: LakeChime - A Data Trigger Service for Modern Data Lakes LinkedIn points out two critical flaws in a partitioned approach to data management.

Data Engineering 67

Data Engineering Data Engineer Engineering Google Cloud 67

Knowledge Hut

FEBRUARY 29, 2024

Learning Data Analysis in Excel Data analysis is a process of inspecting, cleaning, transforming and modelling data with an objective of uncover the useful knowledge, results and supporting decision. Learning Data Visualization To discover hidden truth or information on business problem, data needs to be viewed properly.

Data Science 98

Data Science Datasets Database Design Machine Learning 98

Snowflake

JANUARY 24, 2024

Governments collect more data than any other type of entity on the planet, yet their ability to use data to serve citizens more effectively has always been limited. Regulatory compliance, budgetary constraints, reliance on legacy systems and internal resistance to change all play a role. This will be enabled in the U.S.

Government 99

Government Data Management Cloud Data 99

Knowledge Hut

JANUARY 30, 2024

Data extraction is the vital process of retrieving raw data from diverse sources, such as databases, Excel spreadsheets, SaaS platforms, or web scraping efforts. This data can be structured, semi-structured, or entirely unstructured, making it a versatile tool for collecting information from various origins.

ETL Tools 52

ETL Tools Database-centric Data Mining Data Cleanse 52

Knowledge Hut

JANUARY 29, 2024

In today's data-driven world, where information reigns supreme, businesses rely on data to guide their decisions and strategies. However, the sheer volume and complexity of raw data from various sources can often resemble a chaotic jigsaw puzzle.

Raw Data 52

Raw Data Data Mining Data Preparation Structured Data 52

AltexSoft

MAY 12, 2023

In today’s data-driven world, organizations amass vast amounts of information that can unlock significant insights and inform decision-making. A staggering 80 percent of this digital treasure trove is unstructured data, which lacks a pre-defined format or organization. txt), Microsoft Word documents (.doc,docx),

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

Cloudera

APRIL 1, 2024

We’re excited to share that Gartner has recognized Cloudera as a Visionary among all vendors evaluated in the 2023 Gartner® Magic Quadrant for Cloud Database Management Systems. Download the complimentary 2023 Gartner Magic Quadrant for Cloud Database Management Systems report.

Cloud 104

Cloud Unstructured Data Metadata Datasets 104

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

DECEMBER 26, 2023

According to the Cybercrime Magazine, the global data storage is projected to be 200+ zettabytes (1 zettabyte = 10 12 gigabytes) by 2025, including the data stored on the cloud, personal devices, and public and private IT infrastructures. Data Analyst Scientist.

Data Science 97

Data Science BI Business Intelligence Data Mining 97

Knowledge Hut

MARCH 28, 2024

Have you ever wondered how large amounts of data are organized and accessed by computers? This magic lies in the world of data structures. A data structure is a method for organizing, processing, retrieving, & storing information. Enter data structures - they act as organizers for your data.

Algorithm 52

Algorithm Java Utilities Data 52

Knowledge Hut

MARCH 18, 2024

Web services provide the protocols for communicating and exchanging data between different web applications irrespective of underlying platform or language. Imagine you have two separate systems: System A and System B. It is a message protocol specification for exchanging structured data.

Cloud Computing 52

Cloud Computing Programming Language Amazon Web Services Transportation 52

Knowledge Hut

JULY 24, 2023

Disruptive database technologies include, for instance: Blockchain Blockchain is a distributed ledger technology that enables data to be safely stored across several nodes in a decentralized (or sometimes in a centralized) manner. These nodes contain hashed/encrypted information to ensure security at each level.

Database 52

Database NoSQL Management Relational Database 52

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. It’s not just the data itself that is important, but also how that data can be used to make better decisions.

Data Engineering 75

Data Engineering Data Engineer Non-relational Database Engineering 75

Snowflake

NOVEMBER 2, 2023

Rather than defining schema upfront, a user can decide which data and schema they need for their use case. Snowflake has long supported semi-structured data types and file formats like JSON, XML, Parquet, and more recently storage and processing of unstructured data such as PDF documents, images, videos, and audio files.

Data Lake 92

Data Lake Data Warehouse Cloud Unstructured Data 92

Knowledge Hut

MARCH 20, 2024

Data type defines the kind of value that can be stored in a variable or expression, acting as a classification system for data. Data structure, on the other hand, is a way to arrange and store data in computer memory so that it may be accessed and altered quickly. What is Data Type?

Computer Science 52

Computer Science Programming Language Algorithm Software Engineer 52

Knowledge Hut

APRIL 25, 2024

Users may more quickly gain insights by using interactive dashboards and point-and-click data exploration to better understand the broader picture. Scalability To scale up, or vertically scale, a system, a faster server with more powerful processors and memory is needed. What do these, though, mean for businesses?

Big Data 52

Big Data Data Analytics Manufacturing Retail 52

Striim

MAY 1, 2024

UPS Capital recognizes the challenges faced by its customers in securing their package delivery ecosystem and is harnessing digital capabilities and data access to redefine traditional approaches, ensuring improved customer experiences and combating shipping loss.

Google Cloud 52

Google Cloud Insurance Finance Machine Learning 52

Rockset

MAY 21, 2024

Secondly, as LLMs are trained on datasets that are static and often outdated by the time they're deployed, they are unable to provide accurate or relevant information about recent developments or trends. This limitation makes them unsuitable for scenarios where real-time up-to-the-minute information is critical, such as news reporting, etc.

Building 52

Building Utilities Datasets Database 52

Snowflake

MARCH 30, 2023

For this reason, a new data management for ML framework has emerged to help manage this complexity: the “feature store.” Feature store As described in Tecton’s blog , a feature store is a data management system for managing ML feature pipelines, including the management of feature engineering code and data.

Engineering 84

Engineering Raw Data Data Science Scala 84

Knowledge Hut

JUNE 28, 2023

It also entails data utilization, analysis techniques, user roles, and applications, allowing for a comprehensive comparison between business intelligence and data mining cycle. By examining these factors, organizations can make informed decisions on which approach best suits their data analysis and decision-making needs.

Data Mining 52

Data Mining Business Intelligence BI Datasets 52

AltexSoft

JUNE 26, 2023

While today’s world abounds with data, gathering valuable information presents a lot of organizational and technical challenges, which we are going to address in this article. We’ll particularly explore data collection approaches and tools for analytics and machine learning projects. What is data collection?

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52

Data Engineering Weekly

APRIL 7, 2024

The emerging of composable data stack, and open data stack is certainly an interesting trend to watch. A key highlight for me, I spoke to multiple data people stuck in legacy systems and still inching their way to the cloud. I have provided links for informational purposes and do not suggest endorsement.

Data Engineering 70

Data Engineering Data Engineer Engineering Unstructured Data 70

Engineering at Meta

MARCH 18, 2024

Systems and application logs play a key role in operations, observability, and debugging workflows at Meta. We designed the system to support service-level guarantees on log freshness, completeness, durability, query latency, and query result completeness. PyTorch, data readers, checkpointing, framework code, and hardware).

Engineering 91

Engineering Metadata Architecture Designing 91

U-Next

SEPTEMBER 7, 2022

Structuring data refers to converting unstructured data into tables and defining data types and relationships based on a schema. A data warehouse is a type of data management system that is designed to enable and support business intelligence (BI) activities, especially analytics. Amazon Redshift. .

Data Lake 52

Data Lake Data Warehouse Unstructured Data Amazon Web Services 52

The Modern Data Company

MAY 8, 2023

Data lakes, data warehouses, data hubs, data lakehouses, and data operating systems are data management and storage solutions designed to meet different needs in data analytics, integration, and processing. However, data warehouses can experience limitations and scalability challenges.

Data Management 52

Data Management Data Lake Management Data Governance 52

The Modern Data Company

MAY 8, 2023

Data lakes, data warehouses, data hubs, data lakehouses, and data operating systems are data management and storage solutions designed to meet different needs in data analytics, integration, and processing. However, data warehouses can experience limitations and scalability challenges.

Data Management 52

Data Management Data Lake Management Data Governance 52

The Modern Data Company

MAY 8, 2023

Data lakes, data warehouses, data hubs, data lakehouses, and data operating systems are data management and storage solutions designed to meet different needs in data analytics, integration, and processing. However, data warehouses can experience limitations and scalability challenges.

Data Management 52

Data Management Data Lake Management Data Governance 52

Knowledge Hut

MARCH 15, 2024

Making decisions in the database space requires deciding between RDBMS (Relational Database Management System) and NoSQL, each of which has unique features. RDBMS uses SQL to organize data into structured tables, whereas NoSQL is more flexible and can handle a wider range of data types because of its dynamic schemas.

NoSQL 52

NoSQL Database-centric Relational Database PostgreSQL 52

Ascend.io

FEBRUARY 28, 2024

And crucially, what does the future hold for data engineering in an AI-driven world? While data engineering and Artificial Intelligence (AI) may seem like distinct fields at first glance, their symbiosis is undeniable. The foundation of any AI system is high-quality data.

Data Engineering 52

Data Engineering Data Engineer Engineering Metadata 52

Knowledge Hut

JANUARY 3, 2024

Did you know that almost all database management systems (DBMS) use a particular data organization model? This article provides an introduction to the relational model, which is by far the most common data organization model in DBMS today. In the concept of a relational database management system, data is organized into tables.

MongoDB 52

MongoDB Relational Database Database Accessible 52

Knowledge Hut

MARCH 27, 2024

What Is Big Data Analytics? An organization can make informed decisions based on a big data analytics platform, which works by uncovering patterns, correlations, customer preferences and market trends hidden in the data. Some open-source technology for big data analytics are : Hadoop. Apache Spark. Apache Storm.

Big Data 52

Big Data Data Analytics MongoDB Big Data Tools 52

Precisely

SEPTEMBER 6, 2023

Similar laws in other jurisdictions are raising the stakes for enterprises, compelling them to govern their data more effectively than they have in the past. Traditional frameworks for data governance often work well for smaller volumes of data, and for highly structured data. Here are five to consider.

Data Governance 52

Data Governance Big Data Government Unstructured Data 52

Knowledge Hut

MARCH 27, 2024

Think of a database as a smart, organized library that stores and manages information efficiently. On the other hand, data structures are like the tools that help organize and arrange data within a computer program. Table modeling of the data in standard databases facilitates efficient searching and processing.

Database 52

Database Algorithm Relational Database PostgreSQL 52

Knowledge Hut

MARCH 22, 2024

On the other hand, in non-linear data structures, the elements do not form a sequence. The choice between using a linear or non-linear data structure depends on the access patterns needed for the application. More flexible in terms of data organisation and access. Easier to understand and implement.

Algorithm 52

Algorithm Data Datasets Accessible 52

Knowledge Hut

DECEMBER 29, 2023

Specific Skills and Knowledge: Data collection and storage optimization Data processing and interpretation Reporting and displaying statistical and pattern information Developing and evaluating models to handle huge amounts of data Understanding programming languages C. Data mining's usefulness varies per sector.

Data Science 98

Data Science Data Mining Deep Learning Programming Language 98

Knowledge Hut

JANUARY 3, 2024

The linear data structure's elements can all be accessed in one run. There are four primary types of linear data structures: Queue, Linked Lists, Stack, and Arrays. What Is Data Structure? A data structure can be defined as a system of storage that organizes and stores data.

Data Storage 52

Data Storage Data Systems Data Science 52

Monte Carlo

FEBRUARY 27, 2024

Right now, RAG is the essential technique to make GenAI models useful by giving an LLM access to an integrated, dynamic dataset while responding to prompts. The RAG chain starts with a user query, which triggers the system to fetch relevant data from the database.

Data Engineering 59

Data Engineering Data Engineer Engineering High Quality Data 59