Data Engineering Weekly

MARCH 3, 2024

This approach enables deeper insights into complex datasets that LLMs have not been trained on, demonstrating substantial improvements in data understanding and thematic discovery. The article concludes with a look at data contracts as a concrete example of these principles in practice. link] Nvidia: What Is Sovereign AI?

Data Engineering 67

Data Engineering Data Engineer Pipeline-centric Engineering 67

Databand.ai

MAY 30, 2023

High-quality data is essential for making well-informed decisions, performing accurate analyses, and developing effective strategies. Data quality can be influenced by various factors, such as data collection methods, data entry processes, data storage, and data integration.

Data Cleanse 85

Data Cleanse Datasets Data Governance Data Validation 85

Snowflake

APRIL 18, 2024

This blog post explores how Snowflake can help with this challenge. Legacy SIEM cost factors to keep in mind Data ingestion: Traditional SIEMs often impose limits to data ingestion and data retention. Now there are a few ways to ingest data into Snowflake. But what if security teams didn’t have to make tradeoffs?

Data Lake 80

Data Lake Data Ingestion Bytes Cloud Computing 80

Pinterest Engineering

MAY 2, 2023

We set up a separate dataset for each event type indexed by our system, because we want to have the flexibility to scale these datasets independently. In particular, we wanted our KV store datasets to have the following properties: Allows inserts. We need each dataset to store the last N events for a user.

Lambda Architecture 66

Lambda Architecture Datasets Software Engineer Software Engineering 66

Knowledge Hut

DECEMBER 22, 2023

A data scientist's main responsibility is to draw practical conclusions from complicated data so that you may make informed business decisions. This career guide can assist you in taking the first steps toward a rewarding career in data science if you're wondering how to become a data scientist.

Portfolio 98

Portfolio Data Science Programming Language Scala 98

Knowledge Hut

APRIL 23, 2024

Two popular approaches that have emerged in recent years are data warehouse and big data. While both deal with large datasets, but when it comes to data warehouse vs big data, they have different focuses and offer distinct advantages. Big data offers several advantages.

Data Warehouse 52

Data Warehouse Big Data Unstructured Data Hadoop 52

ProjectPro

JANUARY 24, 2023

Tired of relentlessly searching for the most effective and powerful data warehousing solutions on the internet? This blog is your comprehensive guide to Google BigQuery, its architecture, and a beginner-friendly tutorial on how to use Google BigQuery for your data warehousing activities. Search no more! Did you know ?

Bytes 52

Bytes Google Cloud Data Warehouse Datasets 52

Knowledge Hut

DECEMBER 28, 2023

Hadoop is a popular open-source framework that stores and processes large datasets in a distributed manner. It is designed to handle errors and issues efficiently, making it suitable for local computing and storage. It offers scalable storage, powerful computation, and the ability to handle multiple tasks simultaneously.

Hadoop 52

Hadoop Project Datasets Big Data 52

Edureka

JANUARY 18, 2024

It also discusses available resources and tools, and the current data science landscape. Need for Data Science Data scientists play a vital part in improving decision-making, increasing business efficiency, and turning massive volumes of data into actionable insights.

Data Science 40

Data Science Deep Learning NoSQL Machine Learning 40

phData: Data Engineering

SEPTEMBER 19, 2023

With many data modeling methodologies and processes available, choosing the right approach can be daunting. This blog will guide you through the best data modeling methodologies and processes for your data lake, helping you make informed decisions and optimize your data management practices. What is a Data Lake?

Data Lake 52

Data Lake Process Metadata Data Warehouse 52

Cloudera

JANUARY 26, 2022

Network operating systems let computers communicate with each other; and data storage grew—a 5MB hard drive was considered limitless in 1983 (when compared to a magnetic drum with memory capacity of 10 kB from the 1960s). The amount of data being collected grew, and the first data warehouses were developed.

Cloud 85

Cloud Cloud Computing Hadoop Data Warehouse 85

Lyft Engineering

NOVEMBER 29, 2023

In this particular blog post, we explain how Druid has been used at Lyft and what led us to adopt ClickHouse for our sub-second analytic system. Druid at Lyft Apache Druid is an in-memory, columnar, distributed, open-source data store designed for sub-second queries on real-time and historical data.

Kafka 104

Kafka Data Ingestion Datasets Architecture 104

Knowledge Hut

MARCH 26, 2024

In this blog post, I have shared 30 carefully curated prompts catering to various industries. By offering a diverse array of prompts, this blog post aims to provide valuable resources for professionals seeking to enhance their writing skills or generate fresh ideas within their respective industries. accessibility guidelines.

Media 52

Media Finance Medical Healthcare 52

Big Data Tools

SEPTEMBER 6, 2021

Here’s what’s happening in data engineering right now. But it is incredibly hard to determine whether a dataset is ethical, unbiased, and not skewed manually. Given this is a hot topic and there’s a boatload of money in it, you would expect there to be a wealth of tools to verify data ethics… but you’d be wrong.

Data Engineering 52

Data Engineering Data Engineer Engineering Big Data Tools 52

ProjectPro

JANUARY 19, 2022

Planning to land a successful job as an Azure Data Engineer? Read this blog till the end to learn more about the roles and responsibilities, necessary skillsets, average salaries, and various important certifications that will help you build a successful career as an Azure Data Engineer. Who should take the certification exam?

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

Scott Logic

APRIL 10, 2024

This blog post serves as a dev diary of the process, covering our challenges, contributions made and attempts to validate them. There was some low-level CPU activity, which can increase when data is being read or written, there was memory used to cache data that may be read again soon and there is the data storage itself.

Cloud Storage 52

Cloud Storage Cloud AWS Metadata 52

ProjectPro

JANUARY 31, 2023

If you're looking to break into the exciting field of big data or advance your big data career, being well-prepared for big data interview questions is essential. Get ready to expand your knowledge and take your big data career to the next level! But the concern is - how do you become a big data professional?

Big Data 52

Big Data Hadoop AWS Relational Database 52

Cloudera

AUGUST 31, 2020

It’s not just about having data; it’s about having the right data at the right time in the right context. . Bernard highlighted a number of compelling examples and use cases and also reinforced the fact that with the pandemic at play, datasets that were relevant in January 2020 are totally useless in August.

Insurance 99

Insurance Manufacturing Retail Banking 99

Knowledge Hut

MAY 9, 2024

From Silicon Valley to Wall Street, from healthcare to e-commerce, data scientists are highly valued and well-compensated in various industries and sectors. According to Glassdoor, the average annual pay of a data scientist is USD 126,683. What is Data Science? They manage data storage and the ETL process.

Data Science 52

Data Science Data Mining Data Architect Programming Language 52

Striim

NOVEMBER 8, 2023

What are the four principles of a Data Mesh, and what problems do they solve? A data mesh is technology-agnostic and underpins four main principles described in-depth in this blog post by Zhamak Dehghani. Federated computational governance This principle advocates that data is governed where it is stored.

Architecture 52

Architecture Generalist Government Datasets 52

Knowledge Hut

JULY 26, 2023

Veracity meaning in big data is the degree of accuracy and trustworthiness of data, which plays a pivotal role in deriving meaningful insights and making informed decisions. This blog will delve into the importance of veracity in Big Data, exploring why accuracy matters and how it impacts decision-making processes.

Big Data 52

Big Data Data Cleanse Retail Healthcare 52

Big Data Tools

SEPTEMBER 6, 2021

Here’s what’s happening in data engineering right now. But it is incredibly hard to determine whether a dataset is ethical, unbiased, and not skewed manually. Given this is a hot topic and there’s a boatload of money in it, you would expect there to be a wealth of tools to verify data ethics… but you’d be wrong.

Data Engineering 40

Data Engineering Data Engineer Engineering Big Data Tools 40

Databand.ai

JULY 6, 2023

Data Integrity Testing: Goals, Process, and Best Practices Niv Sluzki July 6, 2023 What Is Data Integrity Testing? Data integrity testing refers to the process of validating the accuracy, consistency, and reliability of data stored in databases, data warehouses, or other data storage systems.

Data Integration 52

Data Integration Process Data Validation Data Governance 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

Knowledge Hut

MARCH 22, 2024

In this blog, I will discuss all sorts of MongoDB careers , different job roles, key responsibilities, salaries, and top companies where you can apply for these positions easily. Role Importance Crucial for building robust and scalable applications that leverage MongoDB for data storage and retrieval. Let’s get started.

MongoDB 52

MongoDB Amazon Web Services Computer Science Education 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 Pipeline-centric 98

Rockset

JUNE 6, 2023

Real-time systems such as Elasticsearch were designed to work off of directly attached storage to allow for fast access in the face of real-time updates. In this blog, we’ll walk through how Rockset provides compute-storage separation while making real-time data available to queries.

Metadata 52

Metadata Datasets Architecture Algorithm 52

ProjectPro

FEBRUARY 8, 2023

Do ETL and data integration activities seem complex to you? Read this blog to understand everything about AWS Glue that makes it one of the most popular data integration solutions in the industry. Did you know the global big data market will likely reach $268.4 Businesses are leveraging big data now more than ever.

AWS 98

AWS Scala Metadata Data Lake 98

ProjectPro

NOVEMBER 15, 2021

Table of Contents 20 Open Source Big Data Projects To Contribute How to Contribute to Open Source Big Data Projects? 20 Open Source Big Data Projects To Contribute There are thousands of open-source projects in action today. This blog will walk through the most popular and fascinating open source big data projects.

Big Data 52

Big Data Project Metadata Programming Language 52

Knowledge Hut

JULY 26, 2023

This blog talks about the important factors and distinctions between mobile and cloud computing to clarify which would suit your needs. Support collaboration and data sharing across multiple devices and locations. Examples include hosting websites, data storage, and large-scale data processing in the cloud.

Cloud Computing 52

Cloud Computing Cloud Cloud Storage Banking 52

Rockset

SEPTEMBER 20, 2022

This blog discusses some emerging use cases for real-time blockchain analytics and some key considerations for developers building dApps. On-chain data has to be tied back to relevant off-chain datasets, which can require complex JOIN operations which lead to increased data latency.

PostgreSQL 52

PostgreSQL MongoDB SQL Datasets 52

AltexSoft

MAY 14, 2021

A growing number of companies now use this data to uncover meaningful insights and improve their decision-making, but they can’t store and process it by the means of traditional data storage and processing units. Key Big Data characteristics. What is Big Data analytics? Big Data analytics processes and tools.

Big Data 78

Big Data Data Analytics IT NoSQL 78

Edureka

JUNE 1, 2023

This is where AWS Data Analytics comes into action, providing businesses with a robust, cloud-based data platform to manage, integrate, and analyze their data. In this blog, we’ll explore the world of Cloud Data Analytics and a real-life application of AWS Data Analytics.

AWS 52

AWS Data Analytics Cloud Amazon Web Services 52

ProjectPro

JANUARY 19, 2022

Source: Image uploaded by Tawfik Borgi on (researchgate.net) So, what is the first step towards leveraging data? The first step is to work on cleaning it and eliminating the unwanted information in the dataset so that data analysts and data scientists can use it for analysis.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

ProjectPro

JANUARY 25, 2022

Here’s What You Need to Know About PySpark This blog will take you through the basics of PySpark, the PySpark architecture, and a few popular PySpark libraries , among other things. Finally, you'll find a list of PySpark projects to help you gain hands-on experience and land an ideal job in Data Science or Big Data.

Big Data 52

Big Data Data Process Process Kafka 52

FreshBI

OCTOBER 1, 2020

When a Pro users publishes their report to the PowerBI service, they can immediately share that report or dataset with other Pro users. Contributors can create / modify some content content and configure refresh settings on datasets. Contributors can create / modify some content content and configure refresh settings on datasets.

BI 52

BI Datasets Finance Accessible 52

Knowledge Hut

APRIL 25, 2023

Top Data Ingestion Tools Some of the most popular Data ingestion tools used in the industry these days are mentioned below along with their prominent features: Apache Kafka: Written in Scala and Java, it delivers data with low latency and high throughput. It is useful for Big Data ingestion.

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Data Ingestion Lambda Architecture Raw Data Kafka 52