Databand.ai

JULY 19, 2023

Complete Guide to Data Ingestion: Types, Process, and Best Practices Helen Soloveichik July 19, 2023 What Is Data Ingestion? Data Ingestion is the process of obtaining, importing, and processing data for later use or storage in a database. In this article: Why Is Data Ingestion Important?

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Data Ingestion Process Data Cleanse Data Governance 52

Cloudera

JULY 18, 2022

In this blog we will conclude the implementation of our fraud detection use case and understand how Cloudera Stream Processing makes it simple to create real-time stream processing pipelines that can achieve neck-breaking performance at scale. Data decays! It has a shelf life and as time passes its value decreases. Apache Flink.

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Process Kafka Scala SQL 88

Snowflake

JULY 10, 2023

Announced at Summit, we’ve recently added to Snowpark the ability to process files programmatically, with Python in public preview and Java generally available. Data engineers and data scientists can take advantage of Snowflake’s fast engine with secure access to open source libraries for processing images, video, audio, and more.

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Precisely

JULY 20, 2023

In a disruptive market, agility and speed are key to success and a competitive edge – and automating your critical SAP ® processes helps unlock those capabilities. When you set out to improve data quality and integrity, it’s critical to keep in mind the interdependence of process and data.

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Snowflake

SEPTEMBER 11, 2023

Data privacy regulations are sweeping across the globe, with some 71% of countries worldwide adopting data protection and privacy legislation. The European Union’s General Data Protection Regulation (GDPR) , one of the more well-known and far-reaching of these privacy regulations, went into effect on May 25, 2018. 1, Section 3.2,

Cloud 78

Cloud Electronics Government Data Governance 78

Netflix Tech

MARCH 10, 2023

Studio applications use this service to store their media assets, which then goes through an asset cycle of schema validation, versioning, access control, sharing, triggering configured workflows like inspection, proxy generation etc. This pattern grows over time when we need to access and update the existing assets metadata.

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Knowledge Hut

APRIL 25, 2024

Big data is a term that refers to the massive volume of data that organizations generate every day. In the past, this data was too large and complex for traditional data processing tools to handle. There are a variety of big data processing technologies available, including Apache Hadoop, Apache Spark, and MongoDB.

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Knowledge Hut

MARCH 7, 2024

The year 2024 saw some enthralling changes in volume and variety of data across businesses worldwide. The surge in data generation is only going to continue. Foresighted enterprises are the ones who will be able to leverage this data for maximum profitability through data processing and handling techniques.

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Precisely

APRIL 30, 2024

RPA is best suited for simple tasks involving consistent data. It’s challenged by complex data processes and dynamic environments Complete automation platforms are the best solutions for complex data processes. Integration issues: Complex processes often involve interacting with multiple systems and applications.

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Unstructured Data Government Data Validation Programming 59

Knowledge Hut

JANUARY 29, 2024

These servers are primarily responsible for data storage, management, and processing. All cloud models and resources can be accessible from the internet. Access to these resources is possible using any browser software or internet-connected device. Data Science is known to use data analytics software for this process.

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Cloud Computing Data Science Cloud Amazon Web Services 98

Data Engineering Podcast

JANUARY 7, 2024

Summary Data processing technologies have dramatically improved in their sophistication and raw throughput. Unfortunately, the volumes of data that are being generated continue to double, requiring further advancements in the platform capabilities to keep up.

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The Pragmatic Engineer

MARCH 19, 2024

Today, full subscribers got access to a comprehensive Senior-and-above tech compensation research. Source: Cognition So far, all we have is video demos, and accounts of those with access to this tool. In every issue, I cover topics related to Big Tech and startups through the lens of engineering managers and senior engineers.

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Software Engineer Software Engineering Programming Language Media 257

Knowledge Hut

APRIL 23, 2024

Big Data vs Small Data: Volume Big Data refers to large volumes of data, typically in the order of terabytes or petabytes. It involves processing and analyzing massive datasets that cannot be managed with traditional data processing techniques. Small Data is collected and processed at a slower pace.

Big Data 52

Big Data Datasets Data Analysis Media 52

Snowflake

MARCH 14, 2024

Along with SNP Glue, the Snowflake Native App gives customers a simple, flexible and cost-effective solution to get data out of SAP and into Snowflake quickly and accurately. What’s the challenge with unlocking SAP data? Getting direct access to SAP data is critical because it holds such a breadth of ERP information.

IT 93

IT Data Ingestion Data AWS 93

Snowflake

APRIL 8, 2024

BigGeo BigGeo accelerates geospatial data processing by optimizing performance and eliminating challenges typically associated with big data. The Innova-Q dashboard provides access to product safety and quality performance data, historical risk data, and analysis results for proactive risk management.

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Knowledge Hut

APRIL 29, 2024

The arrangement of technologies, protocols, and methods referred to as "cybersecurity" is meant to guard against attacks, damage, malware, viruses, hacking, data theft, and unauthorized access to networks, devices, programs, and data. Significant financial, data and reputational losses may result from this.

Banking 98

Banking Government Media Electronics 98

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

Netflix Tech

NOVEMBER 14, 2023

In the previous installments of this series, we introduced Psyberg and delved into its core operational modes: Stateless and Stateful Data Processing. Pipelines After Psyberg Let’s explore how different modes of Psyberg could help with a multistep data pipeline. In this case, the minimum hour to process the data is hour 2.

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Metadata Data Pipeline Scala Data Workflow 97

Towards Data Science

NOVEMBER 16, 2023

Data Management A tutorial on how to use VDK to perform batch data processing Photo by Mika Baumeister on Unsplash Versatile Data Ki t (VDK) is an open-source data ingestion and processing framework designed to simplify data management complexities.

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Data Process Process Raw Data Data 78

Knowledge Hut

APRIL 23, 2024

As big data evolves and unravels more technology secrets, it might help users achieve ambitious targets. But do you know there are certain disadvantages of big data along with the pros? This article will talk about the challenges faced in using, storing, processing, and retrieving big data.

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Big Data Media Government Big Data Skills 52

FreshBI

MARCH 7, 2024

Initial Problem COFI's clients required timely access to accurate exports, lumber harvesting and pricing data presented in dynamic dashboards for informed decision-making. However, manually compiling and analyzing this data proved to be labor-intensive and time-consuming for COFI.

BI 59

BI Manufacturing Business Intelligence Python 59

Edureka

FEBRUARY 8, 2024

Different instance types offer varying levels of compute power, memory, and storage, which directly influence tasks such as data processing, application responsiveness, and overall system throughput. Key Factors to Consider- When choosing an AWS instance type, several key factors should guide your decision-making process.

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Monte Carlo

FEBRUARY 8, 2024

Sure, a modern data stack can simplify or automate many tasks, but understanding your tools’ capabilities and how they can best be utilized is what really unlocks cost savings and efficiency in your data pipeline. Implement automatic data lifecycle policies to transition data between storage tiers based on age or access patterns.

Data Pipeline 52

Data Pipeline AWS Datasets Data 52

Edureka

AUGUST 2, 2023

Raw data, however, is frequently disorganised, unstructured, and challenging to work with directly. Data processing analysts can be useful in this situation. Let’s take a deep dive into the subject and look at what we’re about to study in this blog: Table of Contents What Is Data Processing Analysis?

Data Process 52

Data Process Process Data Cleanse Data Mining 52

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.

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Amazon Web Services AWS Government Python 118

Knowledge Hut

JANUARY 18, 2024

“Big data Analytics” is a phrase that was coined to refer to amounts of datasets that are so large traditional data processing software simply can’t manage them. For example, big data is used to pick out trends in economics, and those trends and patterns are used to predict what will happen in the future.

Data Process 52

Data Process Process Hadoop Scala 52

Ascend.io

SEPTEMBER 5, 2023

In this article, we’ll explore what Snowflake Snowpark is, the unique functionalities it brings to the table, why it is a game-changer for developers, and how to leverage its capabilities for more streamlined and efficient data processing. What Is Snowflake Snowpark? But Snowpark has catalyzed a significant paradigm shift.

IT 59

IT Scala Java Programming Language 59

Knowledge Hut

APRIL 23, 2024

These data sets consist of extensive and intricate data from diverse sources, including business transactions, social media interactions, and sensor data. Big data stands out due to its significant volume, quick velocity, and wide variety, leading to difficulties in storage, processing, analysis, and interpretation.

Big Data 52

Big Data Media Datasets Unstructured Data 52

Cloudyard

APRIL 4, 2024

However, the volume of daily transaction data poses challenges in effectively segmenting customers and optimizing engagement. This blog post explores how Snowpark, a powerful tool for data processing within Snowflake, can be used to perform RFM segmentation and unlock actionable customer insights.

Retail 40

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Knowledge Hut

MARCH 29, 2024

With pay-as-you-go models, users access services on demand, avoiding the need for hardware maintenance. To access these applications, we had to connect to a Virtual Private Network VPN in order to securely access them remotely. With cloud computing we can access these applications and services through web browser.

Cloud Computing 52

Cloud Computing Cloud Amazon Web Services AWS 52

Ascend.io

DECEMBER 19, 2023

We’ll talk about when and why ETL becomes essential in your Snowflake journey and walk you through the process of choosing the right ETL tool. Our focus is to make your decision-making process smoother, helping you understand how to best integrate ETL into your data strategy. That’s what we call a data pipeline.

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ETL Tools IT Data Pipeline Data Warehouse 52

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. The author expands on the possibility of unified data platforms. A key thought-provoking moment for me while reading the article is this quote.

Data Engineering 67

Data Engineering Data Engineer Engineering Google Cloud 67

Knowledge Hut

APRIL 23, 2024

The Emergence of Data Storage and Processing Technologies A data storage facility first appeared in the form of punch cards, developed by Basile Bouchon to facilitate pattern printing on textiles in looms. Herman Hollerith, a US Bureau employee, developed the analytical engine and strengthened its capacity to store data.

Big Data 52

Big Data Amazon Web Services Media Cloud Computing 52

Precisely

DECEMBER 28, 2023

But insights derived from day-old data don’t cut it. Enterprise technology is having a watershed moment; no longer do we access information once a week, or even once a day. Business success is based on how we use continuously changing data. That’s where streaming data pipelines come into play. Now, information is dynamic.

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Data Pipeline Building Kafka Big Data 91

The Modern Data Company

APRIL 15, 2024

Data is vital to business but the process of getting from data to insights is often murky. Many on the business side may not even care how it happens but understanding this process matters. Making The Sausage – or Getting from Data to Insights Imagine your favorite dish—it’s probably perfect.

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Knowledge Hut

JUNE 26, 2023

If you want to break into the field of data engineering but don't yet have any expertise in the field, compiling a portfolio of data engineering projects may help. Data pipeline best practices should be shown in these initiatives. Source Code: Stock and Twitter Data Extraction Using Python, Kafka, and Spark 2.

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Data Engineering Data Engineer Coding Project 98

Knowledge Hut

MARCH 15, 2024

It does this by doing away with the necessity for venture financing or outside validation prior to granting access to assistance. In addition, it gives users access to the entire range of Microsoft goods and services and facilitates networking between entrepreneurs and other startups inside the Microsoft Partner Ecosystem.

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