phData: Data Engineering

SEPTEMBER 19, 2023

With the amount of data companies are using growing to unprecedented levels, organizations are grappling with the challenge of efficiently managing and deriving insights from these vast volumes of structured and unstructured data. What is a Data Lake? Want to learn more about data governance?

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Data Engineering Weekly

MARCH 24, 2024

The APIs support emitting unstructured log lines and typed metadata key-value pairs (per line). The extracted key-value pairs are written to the line’s metadata. Query clusters support interactive and bulk queries on one or more log streams with predicate filters on log text and metadata.

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Data Engineering Data Engineer Engineering Metadata 62

AltexSoft

AUGUST 29, 2023

In 2010, a transformative concept took root in the realm of data storage and analytics — a data lake. The term was coined by James Dixon , Back-End Java, Data, and Business Intelligence Engineer, and it started a new era in how organizations could store, manage, and analyze their data.

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Knowledge Hut

JULY 24, 2023

In this article, we will explore the concept of data independence in relational databases and how it can benefit your organization by allowing you to work more effectively with your data while ensuring it always remains accessible and secure. What is Data Independence of DBMS? Physical Data Independence in DBMS 1.

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Database Design Relational Database Metadata Database 52

Snowflake

JANUARY 22, 2024

As part of that transition, Fidelity has consolidated its analytics data into its Enterprise Analytics Platform, which is engineered using the Snowflake Data Cloud, making it easier for teams and departments across the company to access the data they need. Data is not duplicated nor transferred across the network.

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Monte Carlo

AUGUST 25, 2023

That’s why it’s essential for teams to choose the right architecture for the storage layer of their data stack. But, the options for data storage are evolving quickly. So let’s get to the bottom of the big question: what kind of data storage layer will provide the strongest foundation for your data platform?

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ProjectPro

FEBRUARY 8, 2023

From identifying consumer trends and patterns to optimizing decision-making, big data has found its place in several industries. But this data is not that easy to manage since a lot of the data that we produce today is unstructured. Then, Glue writes the job's metadata into the embedded AWS Glue Data Catalog.

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Rockset

APRIL 18, 2023

Although tokenization reduces the burden of manually tagging and managing search criteria, keyword search still lacks the ability to return semantically similar results, especially in the context of natural language which relies on associations between words and phrases.

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Monte Carlo

MAY 30, 2023

It’s designed to improve upon the performance and usability challenges of older data storage formats such as Apache Hive and Apache Parquet. Choose the right partitioning strategy Partitioning can significantly improve query performance by reducing the amount of data scanned.

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Monte Carlo

APRIL 24, 2023

Data lakes are useful, flexible data storage repositories that enable many types of data to be stored in its rawest state. Traditionally, after being stored in a data lake, raw data was then often moved to various destinations like a data warehouse for further processing, analysis, and consumption.

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Towards Data Science

DECEMBER 1, 2023

Storage —  Snowflake Snowflake, a cloud-based data warehouse tailored for analytical needs, will serve as our data storage solution. The data volume we will deal with is small, so we will not try to overkill with data partitioning, time travel, Snowpark, and other Snowflake advanced capabilities.

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Data Engineering Data Engineer Project Engineering 69

Engineering at Meta

OCTOBER 31, 2023

SCARF contains a combination of subsystems that analyze code and data usage throughout Meta to aid in the safe and efficient removal of deprecated products. Each represents a class of data — not individual records. SCARF coordinates several kinds of tasks for each data system: metadata collection (e.g.,

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Knowledge Hut

DECEMBER 21, 2023

Cloud-based storage and analytical platform helps business to easily access their data whenever required irrespective of where it is located physically. Reliability : Cloud providers ensure high reliability to their customers based on their SLA which is useful for the data-driven business to operate 24X7.

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Cloud Computing Cloud Algorithm Healthcare 52

LinkedIn Engineering

JULY 27, 2023

Authors: Deven Walia, Vivek Subramaniam , Simon Desowza , and Karthik Subramanian Cloud services have completely changed the way we approach infrastructure management. Furthermore, engineers can access more information about subscription details, the total number of escalations, and the last escalation date.

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Ascend.io

MAY 23, 2023

The data engineering world is full of tips and tricks on how to handle specific patterns that recur with every data pipeline. Even the data stewards who have taken on responsibility for the accuracy and business relevance of the data are often unaware of the nuances of orphaned datasets.

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Towards Data Science

JANUARY 17, 2024

Parquet vs ORC vs Avro vs Delta Lake Photo by Viktor Talashuk on Unsplash The big data world is full of various storage systems, heavily influenced by different file formats. These are key in nearly all data pipelines, allowing for efficient data storage and easier querying and information extraction.

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Knowledge Hut

NOVEMBER 28, 2023

Hence, learning and developing the required data engineer skills set will ensure a better future and can even land you better salaries in good companies anywhere in the world. After all, data engineer skills are required to collect data, transform it appropriately, and make it accessible to data scientists.

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Monte Carlo

JUNE 28, 2022

Traditionally, data lakes held raw data in its native format and were known for their flexibility, speed, and open source ecosystem. By design, data was less structured with limited metadata and no ACID properties. Unity Catalog The Unity Catalog unifies metastores, catalogs, and metadata within Databricks.

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Data Lake Metadata AWS Data Warehouse 52

Grouparoo

JANUARY 11, 2022

When it comes to storing large volumes of data, a simple database will be impractical due to the processing and throughput inefficiencies that emerge when managing and accessing big data. There are two main options available, a data lake and a data warehouse.

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ProjectPro

JANUARY 31, 2023

Big Data is a collection of large and complex semi-structured and unstructured data sets that have the potential to deliver actionable insights using traditional data management tools. Big data operations require specialized tools and techniques since a relational database cannot manage such a large amount of data.

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ProjectPro

NOVEMBER 15, 2021

When any particular project is open-sourced, it makes the source code accessible to anyone. The adaptability and technical superiority of such open-source big data projects make them stand out for community use. You can contribute to Apache Beam open-source big data project here: [link] 2.

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ProjectPro

SEPTEMBER 16, 2021

NoSQL databases are the new-age solutions to distributed unstructured data storage and processing. The speed, scalability, and fail-over safety offered by NoSQL databases are needed in the current times in the wake of Big Data Analytics and Data Science technologies. Hence, writes in Hbase are operation intensive.

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Monte Carlo

AUGUST 19, 2023

A data platform, often referred to as a ‘modern data stack,’ is the central processing hub for an organization’s data ecosystem. I’ve also updated this post to include additional layers frequently found within a modern data platform such as data governance, access management, and machine learning.

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Knowledge Hut

JULY 20, 2023

All of them use image encryption to hide them from unauthorized access. The encryption process ensures that even if an attacker gains access to the encrypted image, they cannot retrieve the original content without the decryption key. Key Management: The encryption key should be securely stored and managed.

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Medical Algorithm Metadata Cloud Storage 40

Monte Carlo

MARCH 28, 2023

At the moment, this tight integration is possible because most zero-ETL architectures require both the transactional database and data warehouse to be from the same cloud provider. No duplicate data storage. Cons : Less ability to customize how the data is treated during the ingestion phase. Pros : Reduced latency.

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ProjectPro

JANUARY 31, 2022

It also offers a unique architecture that allows users to quickly build tables and begin querying data without administrative or DBA involvement. Snowflake is a cloud-based data platform that provides excellent manageability regarding data warehousing, data lakes, data analytics, etc. What Does Snowflake Do?

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Architecture IT Data Warehouse Amazon Web Services 52

Cloudera

AUGUST 31, 2021

While this “data tsunami” may pose a new set of challenges, it also opens up opportunities for a wide variety of high value business intelligence (BI) and other analytics use cases that most companies are eager to deploy. . Traditional data warehouse vendors may have maturity in data storage, modeling, and high-performance analysis.

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Monte Carlo

JANUARY 12, 2024

The concept of big data – complicated datasets that are too dense for traditional computing setups to deal with – is nothing new. But what is new, or still developing at least, is the extent to which data engineers can manage, data scientists can experiment, and data analysts can analyze this treasure trove of raw business insights.

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Knowledge Hut

APRIL 20, 2023

Data governance refers to the set of policies, procedures, mix of people and standards that organisations put in place to manage their data assets. It involves establishing a framework for data management that ensures data quality, privacy, security, and compliance with regulatory requirements.

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Snowflake

MAY 22, 2023

Cross-Cloud Snowgrid Account Replication expands replication beyond databases – general availability Account Replication, now generally available, expands replication beyond databases to account metadata and integrations, making business continuity truly turnkey. Learn more.

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Healthcare Scala Medical Transportation 52

Databand.ai

JUNE 28, 2023

And if you follow your first instinct and use a software application performance management tool (APM) to monitor a DataOps pipeline, it rarely works out. Observability keeps engineers in sync (and confident) “Data pipelines behave very differently than software applications and infrastructure,” says Evgeny. Was this article helpful?

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Data Pipeline Data Engineering Data Engineer Engineering 98

RandomTrees

SEPTEMBER 6, 2020

There is no hardware to select, install, configure or manage and that makes it ideal for organizations that do not want to dedicate resources for support and maintenance. Ongoing maintenance, management and tuning is handled by Snowflake. Snowflake architecture provides flexibility with big data.

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Knowledge Hut

DECEMBER 21, 2023

They can make optimum use of data of all kinds, be it real-time or historical, structured or unstructured. Since Hadoop tools make it easy for organizations to deal with massive amounts of data, they can manage the task internally without outsourcing it to external specialists. The files stored in HDFS are easily accessible.

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Snowflake

MARCH 30, 2023

3EJHjvm Once a business need is defined and a minimal viable product ( MVP ) is scoped, the data management phase begins with: Data ingestion: Data is acquired, cleansed, and curated before it is transformed. Feature engineering: Data is transformed to support ML model training. ML workflow, ubr.to/3EJHjvm

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Snowflake

JULY 10, 2023

With this new Snowpark capability, data engineers and data scientists can process any type of file directly in Snowflake, regardless if files are stored in Snowflake-managed storage or externally. The analyst has read access to the DICOM image files and can create a scoped URL for files using build_scoped_file_url.

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Knowledge Hut

DECEMBER 19, 2023

These languages aid users in accessing the site or app that has been developed. Git is an open source version control system that a developer/ development companies use to manage projects. Version Control Systems are needed to keep track of and manage changes that are being made in the source code.

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Monte Carlo

JANUARY 25, 2023

The question of whether to build versus buy can mean very different things based on what level of the data stack you’re considering. Building” can mean anything from building a system from the ground up to leveraging open source tools to assemble and manage your stack in-house. Let’s jump in!

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