Data Engineering Weekly

MARCH 5, 2025

In the mid-2000s, Hadoop emerged as a groundbreaking solution for processing massive datasets. It promised to address key pain points: Scaling: Handling ever-increasing data volumes. Speed: Accelerating data insights. Like Hadoop, it aims to tackle scalability, cost, speed, and data silos.

Hadoop 57

Hadoop Metadata Data Ingestion Data Governance 57

Cloudera

NOVEMBER 7, 2023

Are you struggling to manage the ever-increasing volume and variety of data in today’s constantly evolving landscape of modern data architectures? Bucket Layouts in Apache Ozone Interoperability between FS and S3 API Users can store their data in Apache Ozone and can access the data with multiple protocols.

Systems 105

Systems Hadoop Unstructured Data Media 105

Cloudera

APRIL 1, 2024

We scored the highest in hybrid, intercloud, and multi-cloud capabilities because we are the only vendor in the market with a true hybrid data platform that can run on any cloud including private cloud to deliver a seamless, unified experience for all data, wherever it lies. Unlike software, ML models need continuous tuning.

Cloud 105

Cloud Unstructured Data Metadata Government 105

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

AltexSoft

OCTOBER 18, 2022

Regardless of industry, data is considered a valuable resource that helps companies outperform their rivals, and healthcare is not an exception. In this post, we’ll briefly discuss challenges you face when working with medical data and make an overview of publucly available healthcare datasets, along with practical tasks they help solve.

Medical 52

Medical Datasets Machine Learning Hospitality 52

Cloudera

DECEMBER 11, 2020

As mentioned in my previous blog on the topic , the recent shift to remote working has seen an increase in conversations around how data is managed. Toolsets and strategies have had to shift to ensure controlled access to data. It established a data governance framework within its enterprise data lake.

Data Lake 98

Data Lake Government Data Security Unstructured Data 98

Sync Computing

JANUARY 27, 2025

For example, when processing a large dataset, you can add more EC2 worker nodes to speed up the task. Data transfers between regions or zones incur additional costs that can outweigh the cost savings, not to mention the impact on performance. Databricks clusters contain one driver node and one or more worker nodes. M6i , M7g ).

AWS 52

AWS Data Lake Big Data Machine Learning 52

Data Engineering Weekly

SEPTEMBER 18, 2024

Decoupling of Storage and Compute : Data lakes allow observability tools to run alongside core data pipelines without competing for resources by separating storage from compute resources. This opens up new possibilities for monitoring and diagnosing data issues across various sources.

Data Lake 98

Data Lake Data Pipeline Unstructured Data Data 98

Monte Carlo

MARCH 12, 2025

We also integrate GenAI into the Monte Carlo product itself to make the lives of data teams easier through AI-powered monitor recommendations , fixes with AI, and soon, Gen-AI powered root cause analysis (stay tuned for more on that soon). This workflow creates a good balance between speed, cost, and quality of results.

AWS 52

AWS Google Cloud Unstructured Data Coding 52

Monte Carlo

MARCH 12, 2025

We also integrate GenAI into the Monte Carlo product itself to make the lives of data teams easier through AI-powered monitor recommendations , fixes with AI, and soon, Gen-AI powered root cause analysis (stay tuned for more on that soon). This workflow creates a good balance between speed, cost, and quality of results.

AWS 52

AWS Google Cloud Unstructured Data Coding 52

Cloudera

SEPTEMBER 9, 2022

Imagine having self-service access to all business data, anywhere it may be, and being able to explore it all at once. Imagine quickly answering burning business questions nearly instantly, without waiting for data to be found, shared, and ingested. An architectural innovation: Cloudera Data Platform (CDP) and Apache Iceberg.

Architecture 102

Architecture Metadata Machine Learning Unstructured Data 102

Monte Carlo

NOVEMBER 9, 2023

In my opinion, enterprise ready generative AI must be: Secure & private: Your AI application must ensure that your data is secure, private, and compliant, with proper access controls. We *know* what we’re putting in (raw, often unstructured data) and we *know* what we’re getting out, but we don’t know how it got there.

Unstructured Data 86

Unstructured Data Database Data Pipeline Architecture 86

Edureka

JUNE 7, 2024

paintings, songs, code) Historical data relevant to the prediction task (e.g., Generative AI leverages the power of deep learning to build complex statistical models that process and mimic the structures present in different types of data.

Deep Learning 114

Deep Learning Media Algorithm Manufacturing 114

AltexSoft

JUNE 7, 2021

Apache Hadoop is an open-source framework written in Java for distributed storage and processing of huge datasets. The keyword here is distributed since the data quantities in question are too large to be accommodated and analyzed by a single computer. High latency of data access. No real-time data processing.

Big Data Tools 98

Big Data Tools Hadoop Big Data Database-centric 98

Cloudera

OCTOBER 26, 2020

Attribute-based access control and SparkSQL fine-grained access control. Lineage and chain of custody, advanced data discovery and business glossary. Store and access schemas across clusters and rebalance clusters with Cruise Control. Relevance-based text search over unstructured data (text, pdf,jpg, …).

Certification 87

Certification Cloud Kafka Unstructured Data 87

Towards Data Science

OCTOBER 7, 2023

Given LLMs’ capacity to understand and extract insights from unstructured data, businesses are finding value in summarizing, analyzing, searching, and surfacing insights from large amounts of internal information. Let’s explore how a few key sectors are putting gen AI to use.

Unstructured Data 98

Unstructured Data Finance SQL Database 98

ProjectPro

FEBRUARY 8, 2023

Scale Existing Python Code with Ray Python is popular among data scientists and developers because it is user-friendly and offers extensive built-in data processing libraries. For analyzing huge datasets, they want to employ familiar Python primitive types. Glue works absolutely fine with structured as well as unstructured data.

AWS 98

AWS Scala Metadata Data Lake 98

Towards Data Science

DECEMBER 4, 2023

We’ll build a data architecture to support our racing team starting from the three canonical layers : Data Lake, Data Warehouse, and Data Mart. Data Lake A data lake would serve as a repository for raw and unstructured data generated from various sources within the Formula 1 ecosystem: telemetry data from the cars (e.g.

Data Engineering 98

Data Engineering Data Engineer Engineering Data Lake 98

AltexSoft

MAY 27, 2022

The tool processes both structured and unstructured data associated with patients to evaluate the likelihood of their leaving for a home within 24 hours. The main sources of such data are electronic health record ( EHR ) systems which capture tons of important details. Inpatient data anonymization. Factors impacting LOS.

Hospitality 98

Hospitality Medical Healthcare Algorithm 98

Cloudera

DECEMBER 19, 2023

Limit access and capabilities initially. Improve dataset quality. Ensure you can trust your data by using only diverse, high-quality training data that represents different demographics and viewpoints. Our government leaders had several suggestions: Start small. Start with narrow, low-risk use cases.

Government 91

Government Education Unstructured Data Algorithm 91

DataKitchen

APRIL 13, 2021

DataOps needs a directed graph-based workflow that contains all the data access, integration, model and visualization steps in the data analytic production process. It orchestrates complex pipelines, toolchains, and tests across teams, locations, and data centers. Meta-Orchestration . Other Vendors Talking DataOps.

Consulting 120

Consulting Machine Learning Data Science Data Pipeline 120

Snowflake

JUNE 28, 2023

Python Unstructured Data Processing (PuPr) – Unstructured data processing is now natively supported with Python. External Network Access (PrPr) – Allows users to seamlessly connect to external endpoints from their Snowpark code (UDFs/UDTFs and Stored procedures) while maintaining high security and governance.

Python 52

Python Accessibility Accessible Pipeline-centric 52

Knowledge Hut

JUNE 26, 2023

When screening resumes, most hiring managers prioritize candidates who have actual experience working on data engineering projects. Top Data Engineering Projects with Source Code Data engineers make unprocessed data accessible and functional for other data professionals. Which queries do you have?

Data Engineering 98

Data Engineering Data Engineer Coding Project 98

Cloudera

AUGUST 8, 2024

This facilitates improved collaboration across departments via data virtualization, which allows users to view and analyze data without needing to move or replicate it. And through this partnership, we can offer clients cost-effective AI models and well-governed datasets as this industry charges into the future.”

Pharmaceutical 72

Pharmaceutical Unstructured Data Government Data Ingestion 72

Data Engineering Weekly

DECEMBER 16, 2024

Organizations across industries moved beyond experimental phases to implement production-ready GenAI solutions within their data infrastructure. Natural Language Interfaces Companies like Uber, Pinterest, and Intuit adopted sophisticated text-to-SQL interfaces, democratizing data access across their organizations.

Data Engineering 62

Data Engineering Data Engineer Engineering Unstructured Data 62

Knowledge Hut

DECEMBER 22, 2023

Linear Algebra Linear Algebra is a mathematical subject that is very useful in data science and machine learning. A dataset is frequently represented as a matrix. Statistics Statistics are at the heart of complex machine learning algorithms in data science, identifying and converting data patterns into actionable evidence.

Hadoop 98

Hadoop Deep Learning Data Science Machine Learning 98

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

Striim

SEPTEMBER 11, 2024

Understanding the essential components of data pipelines is crucial for designing efficient and effective data architectures. Data warehouses offer high performance and scalability, enabling organizations to manage large volumes of structured data efficiently.

Data Pipeline 98

Data Pipeline Designing Data Lake Data Warehouse 98

Knowledge Hut

DECEMBER 22, 2023

Power BI Desktop Power BI Desktop is free software that can be downloaded and installed to build reports by accessing data easily without the need for advanced report designing or query skills to build a report. Multiple Data Sources Multiple Data Sources support various data sources like Excel, CSV, SQL Server, Web files, etc.

BI 98

BI Business Intelligence Machine Learning SQL 98

Data Engineering Weekly

APRIL 7, 2024

[link] Matt Turck: Full Steam Ahead: The 2024 MAD (Machine Learning, AI & Data) Landscape Coninue the week of insights into the world of data & AI landscape, the 2024 MAD landscape is out. We index only top-tier tables, promoting the use of these higher-quality datasets.

Data Engineering 70

Data Engineering Data Engineer Engineering Unstructured Data 70

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. Big data offers several advantages.

Data Warehouse 52

Data Warehouse Big Data Unstructured Data Hadoop 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

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. The dataset can be either structured or unstructured or both.

Data Science 97

Data Science BI Machine Learning Business Intelligence 97

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 26, 2023

If we look at history, the data that was generated earlier was primarily structured and small in its outlook. A simple usage of Business Intelligence (BI) would be enough to analyze such datasets. However, as we progressed, data became complicated, more unstructured, or, in most cases, semi-structured.

Data Engineering 98

Data Engineering Data Engineer Engineering Hadoop 98

Edureka

MARCH 26, 2025

No Transformation: The input layer only passes data on to the hidden layer below; it does not process or alter the data in any way. Dimensionality: The number of characteristics in the dataset is directly proportional to the number of neurons in the input layer. How are neural networks used in AI?

Raw Data 40

Raw Data Architecture Deep Learning Finance 40