Data Engineering Weekly

MARCH 24, 2024

link] Kai Waehner: The Data Streaming Landscape 2024 This is a comprehensive overview of the state of the data streaming landscape in 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.

Data Engineering 62

Data Engineering Data Engineer Engineering Metadata 62

Monte Carlo

JANUARY 5, 2024

This architecture format consists of several key layers that are essential to helping an organization run fast analytics on structured and unstructured data. Storage layer 3. Metadata layer 4. The data lakehouse’s semantic layer also helps to simplify and open data access in an organization. API layer 5.

Architecture 52

Architecture Data Lake Metadata Unstructured Data 52

Monte Carlo

JANUARY 5, 2024

This architecture format consists of several key layers that are essential to helping an organization run fast analytics on structured and unstructured data. Storage layer 3. Metadata layer 4. The data lakehouse’s semantic layer also helps to simplify and open data access in an organization. API layer 5.

Architecture 52

Architecture Data Lake Metadata Unstructured Data 52

phData: Data Engineering

SEPTEMBER 19, 2023

Data modeling plays a pivotal role in defining the structure, relationships, and semantics of data within a data lake. It provides a blueprint for organizing and representing data to enable efficient querying, analysis, and interpretation. What is a Data Lake? Want to learn more about data governance?

Data Lake 52

Data Lake Process Metadata Data Warehouse 52

Data Engineering Podcast

FEBRUARY 27, 2022

Summary Building a data platform is a complex journey that requires a significant amount of planning to do well. In this episode Tobias Macey, the host of the show, reflects on his plans for building a data platform and what he has learned from running the podcast that is influencing his choices.

Designing 100

Designing Metadata Data Lake Relational Database 100

Precisely

JANUARY 25, 2024

Today’s cloud systems excel at high-volume data storage, powerful analytics, AI, and software & systems development. Cloud-based DevOps provides a modern, agile environment for developing and maintaining applications and services that interact with the organization’s mainframe data.

Metadata 67

Metadata Data Governance Relational Database Government 67

LinkedIn Engineering

JULY 19, 2023

Open source data lakehouse deployments are built on the foundations of compute engines (like Apache Spark, Trino, Apache Flink), distributed storage (HDFS, cloud blob stores), and metadata catalogs / table formats (like Apache Iceberg, Delta, Hudi, Apache Hive Metastore). Tables are governed as per agreed upon company standards.

Big Data 78

Big Data Data Management Management Metadata 78

Precisely

FEBRUARY 9, 2024

Trusted AI Outcomes Require a Focus on Data Integrity Everyone’s talking about artificial intelligence (AI) for its unique ability to automate or accelerate user tasks, resulting in greater efficiency and productivity and a reduced dependence on manual labor. But few organizations have the data integrity required to power meaningful outcomes.

Data Integration 67

Data Integration Government Metadata Data 67

Cloudera

SEPTEMBER 15, 2022

Apache Ozone is a distributed, scalable, and high-performance object store , available with Cloudera Data Platform (CDP), that can scale to billions of objects of varying sizes. Structured data (such as name, date, ID, and so on) will be stored in regular SQL databases like Hive or Impala databases. Diversity of workloads.

Systems 87

Systems Hadoop Metadata Telecommunication 87

Knowledge Hut

JULY 24, 2023

Data independence tells us about the ability to modify the database schema or organization without affecting the applications that use the data. It allows changes to be made at various levels of a database system without causing disruptions or requiring extensive modifications to the applications that rely on the data.

Database Design 52

Database Design Relational Database Metadata Database 52

Monte Carlo

AUGUST 25, 2023

Modern companies are ingesting, storing, transforming, and leveraging more data to drive more decision-making than ever before. Data teams need to balance the need for robust, powerful data platforms with increasing scrutiny on costs. But, the options for data storage are evolving quickly.

Data Lake 52

Data Lake Data Warehouse Unstructured Data Raw Data 52

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

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.

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AWS Scala Metadata Data Lake 98

Towards Data Science

DECEMBER 1, 2023

Photo by Gaining Visuals on Unsplash Here is a simple and fast pet project for Data/Analytics Engineers, who want to kick the tires on Modern Data Stack tools including dbt Core, Snowflake, Fivetran, and GitHub Actions. Now you can easily retrieve it from your account by leveraging “data movement platforms” like Fivetran.

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Data Engineering Data Engineer Project Engineering 70

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.

Metadata 52

Metadata Raw Data Data Lake Data 52

Engineering at Meta

OCTOBER 31, 2023

Moments relied on several pieces of shared Facebook functionality and infrastructure, and deleting it was more complicated than simply turning off servers and removing data tables. Unused data cleanup SCARF implements an unused data type cleanup system for Meta engineers to leverage when they want to ensure consistent removal of unused data.

Data 93

Data Metadata Coding Relational Database 93

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.

Data Lake 52

Data Lake Google Cloud Data Warehouse AWS 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.

Engineering 63

Engineering Data Lake Unstructured Data Metadata 63

Knowledge Hut

DECEMBER 21, 2023

Why Cloud Computing is Important for Data-driven Business? The Cloud computing is crucial for data-driven businesses because it provides scalable and cost-effective ways to store and process huge amounts of data. Cloud computing is a fast-growing area in the technical landscape due to its recent developments.

Cloud Computing 52

Cloud Computing Cloud Algorithm Healthcare 52

Cloudera

NOVEMBER 23, 2021

Operational Database is a relational and non-relational database built on Apache HBase and is designed to support OLTP applications, which use big data. The operational database in Cloudera Data Platform has the following components: . Security and governance policies are set once and applied across all data and workloads.

Database 89

Database Non-relational Database NoSQL Government 89

AltexSoft

JUNE 7, 2021

They both enable you to deal with huge collections of data no matter its format — from Excel tables to user feedback on websites to images and video files. As a result, a Big Data analytics task is split up, with each machine performing its own little part in parallel. You don’t need to archive or clean data before loading.

Big Data Tools 98

Big Data Tools Hadoop Big Data Database-centric 98

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. Let’s step through it.

Datasets 52

Datasets Data Pipeline Metadata Database 52

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.

Big Data 70

Big Data Data Data Storage SQL 70

LinkedIn Engineering

JULY 27, 2023

It’s now much easier to manage large infra requirements that have traditionally demanded an amalgamation of teams like DBA, Infra-SRE, Onprem-SMEs, network managers, and access control managers working together. Costwiz data platform Costwiz relies on a robust and high-performing central data platform for its operations.

Metadata 75

Metadata Utilities Cloud Data Lake 75

Monte Carlo

MARCH 28, 2023

Today, data engineers continue to stomp on hard coded pipelines and on-premises servers as they march up the modern data stack slope of enlightenment. The modern data stack didn’t arise because it did everything better than its predecessor. Data is bigger and faster, but it’s also messier and less governed.

Data Warehouse 126

Data Warehouse Raw Data Data Pipeline Software Engineer 126

ProjectPro

JUNE 22, 2017

Hadoop clusters are resilient to failure meaning whenever data is sent to a particular node for analysis, it is also replicated to other nodes on the hadoop cluster. If the node fails then the replicated copy of the data present on the other node in the cluster can be used for analysis.

Hadoop 52

Hadoop IT Data Analysis Big Data 52

phData: Data Engineering

AUGUST 4, 2023

Data storage is a vital aspect of any Snowflake Data Cloud database. Within Snowflake, data can either be stored locally or accessed from other cloud storage systems. Snowflake hides user data objects and makes them accessible only through SQL queries through the compute layer.

Cloud Storage 52

Cloud Storage Google Cloud Amazon Web Services Data Storage 52

Monte Carlo

JUNE 28, 2022

Over the past several years, cloud data lakes like Databricks have gotten so powerful (and popular) that according to Mordor Intelligence , the data lake market is expected to grow from $3.74 Traditionally, data lakes held raw data in its native format and were known for their flexibility, speed, and open source ecosystem.

Data Lake 52

Data Lake Metadata AWS Data Warehouse 52

ProjectPro

NOVEMBER 7, 2016

We will also look at how each component in the Hadoop ecosystem plays a significant role in making Hadoop efficient for big data processing. This lack of knowledge leads to creating a Hadoop cluster that is more complex than is necessary for a particular big data application making it a pricey implementation. without any difficulties?

Hadoop 40

Hadoop Architecture IT Big Data 40

AltexSoft

NOVEMBER 10, 2021

Well, there’s a new phenomenon in data management that received the name of a data lakehouse. In a nutshell, the lakehouse system leverages low-cost storage to keep large volumes of data in its raw formats just like data lakes. Data warehouse vs data lake vs data lakehouse: What’s the difference.

Architecture 52

Architecture Data Lake Data Warehouse Metadata 52

Knowledge Hut

NOVEMBER 28, 2023

The contemporary world experiences a huge growth in cloud implementations, consequently leading to a rise in demand for data engineers and IT professionals who are well-equipped with a wide range of application and process expertise. Data Engineer certification will aid in scaling up you knowledge and learning of data engineering.

Data Engineering 52

Data Engineering Data Engineer Engineering Generalist 52

ProjectPro

JANUARY 31, 2023

Almost every company employs data models and big data technologies to improve its techniques and marketing campaigns. Big data analytics analyzes structured and unstructured data to generate meaningful insights based on changing market trends, hidden patterns, and correlations. RDBMS stores structured data.

Big Data 52

Big Data Hadoop AWS Relational Database 52

AltexSoft

JULY 29, 2022

Depending on how you measure it, the answer will be 11 million newspaper pages or… just one Hadoop cluster and one tech specialist who can move 4 terabytes of textual data to a new location in 24 hours. Developed in 2006 by Doug Cutting and Mike Cafarella to run the web crawler Apache Nutch, it has become a standard for Big Data analytics.

Hadoop 59

Hadoop Big Data Google Cloud NoSQL 59

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. This article looks at the options available for storing and processing big data, which is too large for conventional databases to handle.

Data Lake 52

Data Lake Data Warehouse Unstructured Data Raw Data 52

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. It was modeled after Amazon’s DynamoDb.

NoSQL 52

NoSQL Database Hadoop Big Data 52

Knowledge Hut

JULY 20, 2023

All of them use image encryption to hide them from unauthorized access. With the increasing prevalence of digital imagery in various domains such as photography, multimedia, medical imaging, and satellite imaging, the need for secure image transmission, storage, and sharing has become paramount. What is Image Encryption?

Medical 40

Medical Algorithm Metadata Cloud Storage 40

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. With reduced disk IO, data locality, and compression, clickhouse is 100-1000x faster than traditional approaches.

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Big Data Project Metadata Programming Language 52