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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Cloudera

SEPTEMBER 11, 2018

Last week Cloudera introduced an open end-to-end architecture for IoT and the different components needed to help satisfy today’s enterprise needs regarding operational technology (OT), information technology (IT), data analytics and machine learning (ML), along with modern and traditional application development, deployment, and integration.

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Engineering at Meta

MAY 22, 2024

In recent years, Meta’s data management systems have evolved into a composable architecture that creates interoperability, promotes reusability, and improves engineering efficiency. Data is at the core of every product and service at Meta. We needed to change our thinking to be able to move faster.

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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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Striim

JUNE 6, 2024

For your organization’s data integration and streaming initiatives to succeed, meeting latency requirements is crucial. Low latency, defined by the rapid transmission of data with minimal delay, is essential for maximizing the effectiveness of your data strategy. Here’s what you need to know.

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Data Integration Data Ingestion Healthcare Data Pipeline 52

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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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.

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Knowledge Hut

APRIL 25, 2024

Big data in information technology is used to improve operations, provide better customer service, develop customized marketing campaigns, and take other actions to increase revenue and profits. It is especially true in the world of big data. It is especially true in the world of big data. What Are Big Data T echnologies?

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Knowledge Hut

APRIL 23, 2024

In today's data-driven world, the volume and variety of information are growing unprecedentedly. As organizations strive to gain valuable insights and make informed decisions, two contrasting approaches to data analysis have emerged, Big Data vs Small Data.

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Cloudera

JULY 18, 2022

In part 1 of this blog we discussed how Cloudera DataFlow for the Public Cloud (CDF-PC), the universal data distribution service powered by Apache NiFi, can make it easy to acquire data from wherever it originates and move it efficiently to make it available to other applications in a streaming fashion. Data decays!

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Knowledge Hut

JANUARY 29, 2024

Some techniques add to the development of technology in the business sectors, including Data Science and Cloud Computing, essential aspects of the technology industry. With the help of data science, one can gather all the critical analyses from vast chunks of data stored in clouds. In this model, the data is not 100% secure.

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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.

Management 94

Management Kafka Metadata Media 94

Monte Carlo

MAY 28, 2024

A data ingestion architecture is the technical blueprint that ensures that every pulse of your organization’s data ecosystem brings critical information to where it’s needed most. Ensuring all relevant data inputs are accounted for is crucial for a comprehensive ingestion process.

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Snowflake

MARCH 14, 2024

As a cohesive ERP solution, SAP is often one of the largest data resources in an organization, containing everything from financial and transactional data to master information about customers, vendors, materials, facilities, planning and even HR. What’s the challenge with unlocking SAP data?

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IT Data Ingestion Data AWS 91

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.

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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. Speed to keep up with an accelerating business environment and gain or maintain a competitive edge Improved data quality and integrity – particularly for SAP master data.

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Knowledge Hut

APRIL 23, 2024

With the advent of technology and the arrival of modern communications systems, computer science professionals worldwide realized big data size and value. As big data evolves and unravels more technology secrets, it might help users achieve ambitious targets. Top 10 Disadvantages of Big Data 1.

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Monte Carlo

FEBRUARY 8, 2024

Just as a watchmaker meticulously adjusts every tiny gear and spring in harmonious synchrony for flawless performance, modern data pipeline optimization requires a similar level of finesse and attention to detail. Learn how cost, processing speed, resilience, and data quality all contribute to effective data pipeline optimization.

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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.

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Data Engineering Weekly

DECEMBER 3, 2023

RudderStack is the Warehouse Native CDP, built to help data teams deliver value across the entire data activation lifecycle, from collection to unification and activation. link] Microsoft: Generative AI for Beginners Understanding Gen-AI becomes a mandatory skill for application developers and data engineers.

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Data Engineering Data Engineer Engineering Bytes 70

FreshBI

MARCH 7, 2024

COFI recognized the need to enhance its data delivery mechanisms to meet evolving market demands. Initial Problem COFI's clients required timely access to accurate exports, lumber harvesting and pricing data presented in dynamic dashboards for informed decision-making.

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BI Manufacturing Business Intelligence Python 59

Knowledge Hut

APRIL 23, 2024

Data handling became tedious only after huge amounts of it started to accumulate. For example, in 1880, the US Census Bureau needed to handle the 1880 Census data. They realized that compiling this data and converting it into information would take over 10 years without an efficient system.

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Big Data Amazon Web Services Media Cloud Computing 52

The Modern Data Company

APRIL 15, 2024

The elegance of Data Products is undeniable, but many leaders question the efficacy of their data strategies: Why does the return on data investments often disappoint? Why is proving data’s value becoming harder? Why do data models become more cumbersome than beneficial? What Exactly Is a Data Product?

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Precisely

DECEMBER 28, 2023

The concept of streaming data was born of necessity. 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. Now, information is dynamic.

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Data Pipeline Building Kafka Big Data 91

Knowledge Hut

MAY 21, 2024

It would be helpful to know which laptops are most suited for your needs if you're a data scientist looking for the perfect one for your work. You have several options, but which is the best laptop for data science that satisfies all of your needs and demands? HP Envy 17T is a laptop designed for all your data science needs.

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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 10, 2024

As a seasoned data scientist, I understand the pivotal role data plays in our field. Handling vast amounts of data is essential for maximizing career opportunities. The exponential growth of data, with 55-65 percent being unstructured, as reported by Forbes.com, poses significant challenges for analysis.

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Data Science Python Deep Learning Machine Learning 52

Knowledge Hut

JUNE 26, 2023

Welcome to the world of data engineering, where the power of big data unfolds. If you're aspiring to be a data engineer and seeking to showcase your skills or gain hands-on experience, you've landed in the right spot. Therefore, the greatest thing you can do as a novice is to work on some real-time data engineering initiatives.

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Ascend.io

JUNE 10, 2024

Snowflake Summit 2024 has set the stage for exciting changes in the data landscape. As a data enthusiast and a leader in data engineering, I’m eager to share my reflections on these innovations and their implications for Ascend. Snowflake’s investment in expanding data engineering capabilities is a game-changer.

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Data Engineering Data Engineer Engineering High Quality Data 52

Data Engineering Weekly

SEPTEMBER 24, 2023

Data Engineering Weekly Is Brought to You by RudderStack RudderStack Profiles takes the SaaS guesswork and SQL grunt work out of building complete customer profiles so you can quickly ship actionable, enriched data to every downstream team. Airflow isn’t meant to process the data. See how it works today.

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Data Engineering Data Engineer Engineering Kafka 67

U-Next

MARCH 1, 2023

Introduction Data Engineer is responsible for managing the flow of data to be used to make better business decisions. A solid understanding of relational databases and SQL language is a must-have skill, as an ability to manipulate large amounts of data effectively. In 2022, data engineering will hold a share of 29.8%

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Data Engineering Data Engineer Non-relational Database Engineering 75

The Modern Data Company

FEBRUARY 15, 2023

You can’t blame companies for playing the cards they’re given, but now data debt is costing companies more than they think, even when solutions seem to be working…for now. What Causes Data Debt? Data debt is similar to technical debt. Data, unlike technology, seems simple on the surface.

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Government Data Governance Raw Data Data 98

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.

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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. Want to see Starburst in action?

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Towards Data Science

AUGUST 2, 2023

A Step-by-Step Guide to Building an Effective Data Quality Strategy from Scratch How to build an interpretable data quality framework based on user expectations Photo by Rémi Müller on Unsplash As data engineers, we are (or should be) responsible for the quality of the data we provide. Where do I start?

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Databand.ai

JUNE 28, 2023

Data Pipeline Observability: A Model For Data Engineers Eitan Chazbani June 29, 2023 Data pipeline observability is your ability to monitor and understand the state of a data pipeline at any time. We believe the world’s data pipelines need better data observability. What is data pipeline observability?

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Data Pipeline Data Engineering Data Engineer Engineering 98

Knowledge Hut

JANUARY 18, 2024

Most organizations are still in the initial stages of learning how to apply data science to gain business benefits and healthy returns. To maximize the benefits of data science, people need to have good technical knowledge of managing the data in a production environment, without which the awareness of full stack data science is insufficient.

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