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

Knowledge Hut

APRIL 23, 2024

Big data has revolutionized the world of data science altogether. With the help of big data analytics, we can gain insights from large datasets and reveal previously concealed patterns, trends, and correlations. Learn more about the 4 Vs of big data with examples by going for the Big Data certification online course.

Big Data 52

Big Data Media Datasets Unstructured Data 52

Knowledge Hut

JUNE 28, 2023

Parameter Data Mining Business Intelligence (BI) Definition The process of uncovering patterns, relationships, and insights from extensive datasets. Process of analyzing, collecting, and presenting data to support decision-making. Focus Exploration and discovery of hidden patterns and trends in data.

Data Mining 52

Data Mining Business Intelligence BI Datasets 52

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

MARCH 27, 2024

Essential in programming for tasks like sorting, searching, and organizing data within algorithms. Examples MySQL, PostgreSQL, MongoDB Arrays, Linked Lists, Trees, Hash Tables Scaling Challenges Scales well for handling large datasets and complex queries. Flexibility: Offers scalability to manage extensive datasets efficiently.

Database 52

Database Relational Database Algorithm PostgreSQL 52

Monte Carlo

JUNE 6, 2023

The reality is that addressing data quality is unlikely to be the initiative that teams want to prioritize ahead of building shiny new products or services, but it’s often the one that they need to prioritize in order to maintain trust or scale their team and platform. The whole needs to be greater than the sum of its parts.

Data Governance 98

Data Governance Government Data Data Engineering 98

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. But instead of integrating a dynamic database to an existing LLM, fine-tuning involves training an LLM on a smaller, task-specific, and labeled dataset.

Data Engineering 59

Data Engineering Data Engineer Engineering High Quality Data 59

Rockset

JUNE 12, 2023

Amazon DynamoDB’s flexible schema makes it easy to store and retrieve data in a variety of formats, which is particularly useful for Clinical ink’s application that requires handling dynamic, semi-structured data. We also encountered data and infrastructure operational challenges when scaling OpenSearch.

Electronics 52

Electronics Datasets Bytes Architecture 52

Towards Data Science

JUNE 8, 2023

The reality is that addressing data quality is unlikely to be the initiative that teams want to prioritize ahead of building shiny new products or services, but it’s often the one that they need to prioritize in order to maintain trust or scale their team and platform. The whole needs to be greater than the sum of its parts.

Data Governance 73

Data Governance Government Generalist Data Engineering 73

Edureka

FEBRUARY 8, 2024

In-Memory Caching- Memory-optimized instances are suitable for in-memory caching solutions, enhancing the speed of data access. Big Data Processing- Workloads involving large datasets, analytics, and data processing can benefit from the enhanced memory capacity provided by M-Series instances.

AWS 52

AWS NoSQL Deep Learning Datasets 52

Knowledge Hut

OCTOBER 30, 2023

Data Integration: Assist in integrating data from multiple sources into Power BI, ensuring data consistency and accuracy. Data Validation: Help validate data against predefined business rules and ensure data quality. Ensure compliance with data protection regulations.

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. Data scrutiny. Data fairness is one of the dimensions of ethical AI.

Unstructured Data 90

Unstructured Data Pipeline-centric Database-centric Entertainment 90

Knowledge Hut

JULY 26, 2023

Consider exploring relevant Big Data Certification to deepen your knowledge and skills. What is Big Data? Big Data is the term used to describe extraordinarily massive and complicated datasets that are difficult to manage, handle, or analyze using conventional data processing methods.

Big Data 52

Big Data Data Cleanse Retail Healthcare 52

phData: Data Engineering

SEPTEMBER 19, 2023

With the amounts of data involved, this can be crucial to utilizing a data lake effectively. Metadata Management can be performed manually by creating spreadsheets and documents notating information about the various datasets. However, this can be time-consuming and prone to human error, leading to misinformation.

Data Lake 52

Data Lake Process Metadata Data Warehouse 52

Edureka

AUGUST 2, 2023

Python offers a strong ecosystem for data scientists to carry out activities like data cleansing, exploration, visualization, and modeling thanks to modules like NumPy, Pandas, and Matplotlib. Data scientists use SQL to query, update, and manipulate data.

Programming Language 52

Programming Language Programming Scala Pharmaceutical 52

Workfall

JULY 4, 2023

In this blog, we will cover: DBT Overview Snowflake Overview DBT With Snowflake Hands-On Understanding DBT Project Structure Creating Your First Model Conclusion DBT Overview In the magical world of DBT, there are three key concepts that bring order and clarity to the realm of data: models, transformations, and tests.

Data Warehouse 69

Data Warehouse SQL PostgreSQL Database 69

ProjectPro

NOVEMBER 17, 2021

Instead, working on a sentiment analysis project with real datasets will help you stand out in job applications and improve your chances of receiving a call back from your dream company. These reviews have to go through a text processing stage that primarily uses TFIDF (Term Frequency Inverse Document Frequency) to convert text into integers.

Coding 52

Coding Project Entertainment Datasets 52

Knowledge Hut

NOVEMBER 16, 2023

Interpret medical images and documentation Generative AI can be trained to interpret medical images and documentation, providing insights that assist in diagnosis and treatment planning. Automated research reporting With the use of AI, we can generate reports from research data, improving efficiency and accuracy.

Medical 52

Medical Healthcare Hospitality Entertainment 52

AltexSoft

JUNE 29, 2021

In large, data-driven enterprises, MLEs are involved in MLOps, or automation of the entire model life cycle in production. This covers stages from initial model training to monitoring to retraining against new datasets. Creating documentation on machine learning processes. Data-related expertise.

Machine Learning 105

Machine Learning Engineering Algorithm Programming Language 105

Knowledge Hut

MARCH 27, 2024

After obtaining the data, we typically process it using machine learning models and algorithms to try to extract more meaning from the structured data. As a result, experts have created specialized libraries to run these models and continuously train new models using the datasets that we obtain.

Machine Learning 52

Machine Learning Deep Learning Algorithm Certification 52

Striim

JANUARY 4, 2023

Companies need to analyze large volumes of datasets, leading to an increase in data producers and consumers within their IT infrastructures. These companies collect data from production applications and B2B SaaS tools (e.g., This data makes its way into a data repository, like a data warehouse (e.g.,

PostgreSQL 52

PostgreSQL Data Warehouse Data Lake Data 52

Rockset

NOVEMBER 5, 2021

“It took us only a couple days to set up our data pipelines into Rockset and after that, it was pretty straightforward. Desired datasets are instantly and automatically synced into Rockset, which readies the data for queries in a few seconds. The docs were great.”

PostgreSQL 52

PostgreSQL Structured Data Data Lake Data Ingestion 52

ProjectPro

OCTOBER 18, 2021

Datasets like Google Local, Amazon product reviews, MovieLens, Goodreads, NES, Librarything are preferable for creating recommendation engines using machine learning models. They have a well-researched collection of data such as ratings, reviews, timestamps, price, category information, customer likes, and dislikes.

Machine Learning 52

Machine Learning Project Datasets Algorithm 52

Cloudera

JUNE 25, 2021

Using easy-to-define policies, Replication Manager solves one of the biggest barriers for the customers in their cloud adoption journey by allowing them to move both tables/structured data and files/unstructured data to the CDP cloud of their choice easily. The Replication Manager support matrix is documented in our public docs.

Cloud 73

Cloud Data Lake Cloud Storage Metadata 73

Zalando Engineering

NOVEMBER 6, 2017

Ana has been building and leading multidisciplinary teams that include both data scientists and engineers working together on data science products that scale to millions of documents a day, on top of making an impact for the business. Quality structured data is not easy to get in fashion. It’s messy.

Data Science 40

Data Science Deep Learning Media Unstructured Data 40

Knowledge Hut

MAY 2, 2024

To store and process even only a fraction of this amount of data, we need Big Data frameworks as traditional Databases would not be able to store so much data nor traditional processing systems would be able to process this data quickly. collect(): Return all the elements of the dataset as an array at the driver program.

Scala 96

Scala Hadoop Datasets Java 96

ProjectPro

NOVEMBER 14, 2015

Data Integration 3.Scalability Specialized Data Analytics 7.Streaming Specialized Data Analytics 7.Streaming We need to analyze this data and answer a few queries such as which movies were popular etc. Following this, we spring up the Azure spark cluster to perform transformations on the data using Spark SQL.

Hadoop 52

Hadoop Project Big Data Healthcare 52

ProjectPro

JULY 22, 2016

Data warehouses do a good job for what they are meant to do, but with disparate data sources and different data types like transaction logs, social media data, tweets, user reviews, and clickstream data –Data Lakes fulfil a critical need. Data Warehouses do not retain all data whereas Data Lakes do.

Data Lake 40

Data Lake Data Warehouse Hadoop Unstructured Data 40

ProjectPro

JULY 13, 2015

Large commercial banks like JPMorgan have millions of customers but can now operate effectively-thanks to big data analytics leveraged on increasing number of unstructured and structured data sets using the open source framework - Hadoop. It does not help the bank to be responsive to potential investment opportunities.

Hadoop 52

Hadoop Big Data Data Analytics Banking 52

Confluent

AUGUST 29, 2019

Instead of storing tables and columns, Neo4j represents all data as a graph, meaning that the data is a set of nodes with labels and relationships. Nodes are like our data entities (in this example, we use Person ). This approach to structuring data is called the property graph model.

Kafka 55

Kafka Process Algorithm Cloud 55

Precisely

OCTOBER 5, 2023

Determine what data you’ll need Once you’ve determined the use case, brainstorm and dig deeper into what your end goals are and what you need to know to get there. For example, will you need structured data, unstructured, or a combination? sample datasets: are data samples available for download and evaluation?

Raw Data 69

Raw Data Insurance Datasets Telecommunication 69

Rockset

DECEMBER 22, 2020

The reason it’s so popular is because of how it indexes data so it’s efficient for search. However, this comes with a cost in that joining documents is less efficient. There are ways to build relationships in Elasticsearch documents, most common are: nested objects, parent-child joins, and application side joins.

SQL 40

SQL Data MongoDB Aggregated Data 40

AltexSoft

JUNE 26, 2023

We’ll particularly explore data collection approaches and tools for analytics and machine learning projects. What is data collection? It’s the first and essential stage of data-related activities and projects, including business intelligence , machine learning , and big data analytics. No wonder only 0.5

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52

Knowledge Hut

SEPTEMBER 26, 2023

Power BI Basics Microsoft Power BI is a business intelligence and data visualization software that is used to create interactive dashboards and business intelligence reports from various data sources. Dashboards, reports, workspace, datasets, and apps are the building blocks of power BI.

BI 52

BI Business Intelligence Raw Data Data Analysis 52

Monte Carlo

FEBRUARY 26, 2024

Large volumes of data from various sources can be connected and processed, and AI and automated algorithms help automatically detect business rules, as well as assign data quality rules automatically. With Ataccama, AI detects related and duplicate datasets. Castor Castor data catalog. Stemma Stemma data catalog.

Metadata 52

Metadata Government Data Data Governance 52

AltexSoft

NOVEMBER 1, 2023

NER for structuring unstructured data NER plays a pivotal role in converting unstructured text into structured data. By doing so, NER transforms vast amounts of textual content into organized datasets, ready for further analysis. At its most basic, a document or sentence is just a long string of characters.

Deep Learning 52

Deep Learning Machine Learning Datasets Algorithm 52

Data Engineering Weekly

NOVEMBER 20, 2022

Google AI: The Data Cards Playbook: A Toolkit for Transparency in Dataset Documentation Google published Data Cards , a dataset documentation framework aimed at increasing transparency across dataset lifecycles. link] The short YouTube video gives a nice overview of the Data Cards.

Data Engineering 52

Data Engineering Data Engineer Engineering Datasets 52