Simon Späti

NOVEMBER 28, 2018

In my recent blog, I researched OLAP technologies, for this post I chose some open-source technologies and used them together to build a full data architecture for a Data Warehouse system. I went with Apache Druid for data storage, Apache Superset for querying and Apache Airflow as a task orchestrator.

Data Warehouse 130

Data Warehouse Data Storage Data Architecture Architecture 130

Cloudera

APRIL 22, 2022

Part of this emphasis extends to helping enterprises deal with their data and overall cloud connectivity as well as local networks. At the same time, operators are also becoming more data- and cloud-centric themselves. The focus has also been hugely centred on compute rather than data storage and analysis.

Data Solutions 134

Data Solutions Amazon Web Services Data Storage Google Cloud 134

Striim

MARCH 21, 2025

A streaming ETL for Snowflake approach loads data to Snowflake from diverse sources such as transactional databases, security systems logs, and IoT sensors/devices in real time , while simultaneously meeting scalability, latency, security, and reliability requirements.

Data Warehouse 52

Data Warehouse MongoDB MySQL Hadoop 52

Monte Carlo

OCTOBER 31, 2024

But what does an AI data engineer do? AI data engineers play a critical role in developing and managing AI-powered data systems. Table of Contents What Does an AI Data Engineer Do? Data Storage Solutions As we all know, data can be stored in a variety of ways. What are they responsible for?

Data Engineering 52

Data Engineering Data Engineer Engineering Unstructured Data 52

ThoughtSpot

NOVEMBER 5, 2024

ThoughtSpot prioritizes the high availability and minimal downtime of our systems to ensure a seamless user experience. In the realm of modern analytics platforms, where rapid and efficient processing of large datasets is essential, swift metadata access and management are critical for optimal system performance. What is metadata?

Metadata 52

Metadata PostgreSQL Java Database 52

Knowledge Hut

DECEMBER 28, 2023

The information system is a very vast concept that encompasses several aspects like database management, the communication system, various devices, several connections, the internet, collection, organization, and storing data and other information-related applications that are typically used in a business forum.

Systems 52

Systems Telecommunication Technology Certification 52

Edureka

JULY 4, 2024

Amazon Elastic File System (EFS) is a service that Amazon Web Services ( AWS ) provides. It is intended to deliver serverless, fully-elastic file storage that enables you to share data independently of capacity and performance. All these features make it easier to safeguard your data and also keep to the legal requirements.

AWS 52

AWS Systems Amazon Web Services Cloud Storage 52

Monte Carlo

NOVEMBER 21, 2024

Instead of handling each piece of data as it arrives, you collect it all and process it in scheduled chunks. It’s like having a designated “laundry day” for your data. This approach is super cost-efficient because you’re not running your systems constantly. The downside?

Data Pipeline 52

Data Pipeline Designing Lambda Architecture Kafka 52

Christophe Blefari

SEPTEMBER 28, 2023

When you are a data engineer you're getting paid to build systems that people can rely on. Big data technologies are dead—bye Zookeeper 👋—but data generated by systems are still massive and is the modern data stack relevant to answer this need in storage and processing?

Big Data 147

Big Data Cloud Storage Hadoop SQL 147

Data Engineering Weekly

MARCH 2, 2025

DeepSeek continues to impact the Data and AI landscape with its recent open-source tools, such as Fire-Flyer File System (3FS) and smallpond. The industry relies more or less on S3 as a de facto data storage, and I found the experimentation on optimizing the S3 read optimization to be an excellent reference.

Data Engineering 62

Data Engineering Data Engineer Engineering Datasets 62

Engineering at Meta

MARCH 12, 2024

We focused on building end-to-end AI systems with a major emphasis on researcher and developer experience and productivity. Grand Teton builds on the many generations of AI systems that integrate power, control, compute, and fabric interfaces into a single chassis for better overall performance, signal integrity, and thermal performance.

Building 145

Building Portfolio Utilities Data Storage 145

Data Engineering Weekly

FEBRUARY 2, 2025

Evals are introduced to evaluate LLM responses through various techniques, including self-evaluation, using another LLM as a judge, or human evaluation to ensure the system's behavior aligns with intentions. It employs a two-tower model approach to learn query and item embeddings from user engagement data.

Data Engineering 57

Data Engineering Data Engineer Engineering Data Lake 57

Edureka

MARCH 20, 2025

In this blog, we’ll dive into the top 7 mobile security threats that are putting both personal and organizational data at risk and explore effective strategies to defend against these dangers. Operating System and App Vulnerabilities No operating system is immune to flaws.

Banking 52

Banking Entertainment Media Transportation 52

Rockset

DECEMBER 19, 2023

From his early days at Quora to leading projects at Facebook and his current venture at Fennel (a real-time feature store for ML), Nikhil has traversed the evolving landscape of machine learning engineering and machine learning infrastructure specifically in the context of recommendation systems.

Systems 52

Systems Machine Learning Deep Learning Media 52

Christophe Blefari

FEBRUARY 24, 2023

In order to improve your data infra you should sometimes try to occasionally kill your data stack , chaos engineering is something that helps discover issues. This goes further than being a data-driven enterprise , you have to put in place a framework the puts data measurement at every product choice, resulting in maturity increase.

Kafka 130

Kafka Data Storage Data Lake Data 130

Knowledge Hut

APRIL 25, 2024

If you pursue the MSc big data technologies course, you will be able to specialize in topics such as Big Data Analytics, Business Analytics, Machine Learning, Hadoop and Spark technologies, Cloud Systems etc. Look for a suitable big data technologies company online to launch your career in the field.

Big Data 98

Big Data Technology Hadoop NoSQL 98

Data Engineering Weekly

OCTOBER 11, 2024

While the modern data stack has undeniably revolutionized data management with its cloud-native approach, its complexities and limitations are becoming increasingly apparent. Agent systems powered by LLMs are already transforming how we code and interact with data. Data engineering followed a similar path.

Manufacturing 109

Manufacturing Transportation Data Warehouse Unstructured Data 109

Monte Carlo

MARCH 3, 2025

Prior to data powering valuable data products like machine learning models and real-time marketing applications, data warehouses were mainly used to create charts in binders that sat off to the side of board meetings. For complex systems, it is the only way to identify issues early and trace them back to the root cause.

Unstructured Data 52

Unstructured Data Data Cloud Computing Banking 52

Ascend.io

NOVEMBER 14, 2024

Automate Data Transformation and Orchestration: Automate data cleaning and transformation tasks using a data automation tool like Ascend to reduce manual effort and improve data consistency. API-Driven Integration Incorporating API-driven integration is also essential for future-proofing data pipelines.

Data Pipeline 52

Data Pipeline Amazon Web Services Data Integration Data 52

Engineering at Meta

JUNE 12, 2024

Data center deployment Once we’ve chosen a GPU and system, the task of placing them in a data center for optimal usage of resources (power, cooling, networking, etc.) Storage We need efficient data-storage solutions to store the vast amounts of data used in model training.

Algorithm 129

Algorithm Data Storage Technology Building 129

Cloudyard

JANUARY 21, 2025

Read Time: 6 Minute, 6 Second In modern data pipelines, handling data in various formats such as CSV, Parquet, and JSON is essential to ensure smooth data processing. However, one of the most common challenges faced by data engineers is the evolution of schemas as new data comes in.

Data Schemas 59

Data Schemas Data Pipeline Data Warehouse Data Storage 59

phData: Data Engineering

FEBRUARY 21, 2025

Prior to making a decision, an organization must consider the Total Cost of Ownership (TCO) for each potential data warehousing solution. On the other hand, cloud data warehouses can scale seamlessly. Vertical scaling refers to the increase in capability of existing computational resources, including CPU, RAM, or storage capacity.

Cloud 52

Cloud Data Warehouse Amazon Web Services Data Ingestion 52

Netflix Tech

MARCH 14, 2023

We implemented a batch processing system for users to submit their requests and wait for the system to generate the output. This limited pilot system greatly reduced the time spent by our users to manually analyze the content. Maintaining disparate systems posed a challenge. Processing took several hours to complete.

Media 119

Media Building Algorithm Machine Learning 119

Striim

SEPTEMBER 11, 2024

Here are six key components that are fundamental to building and maintaining an effective data pipeline. Data sources The first component of a modern data pipeline is the data source, which is the origin of the data your business leverages. Data storage Data storage follows.

Data Pipeline 98

Data Pipeline Designing Data Lake Data Warehouse 98

Snowflake

NOVEMBER 29, 2023

For example, the data storage systems and processing pipelines that capture information from genomic sequencing instruments are very different from those that capture the clinical characteristics of a patient from a site. The principles emphasize machine-actionability (i.e.,

Metadata 97

Metadata Healthcare Medical Data Storage 97

Knowledge Hut

JANUARY 18, 2024

The opportunities are endless in this field — you can get a job as an operation analyst, quantitative analyst, IT systems analyst, healthcare data analyst, data analyst consultant, and many more. A Python with Data Science course is a great career investment and will pay off great rewards in the future. Choose data sets.

Data Science 98

Data Science Business Analyst Data Architect ETL Method 98

Snowflake

SEPTEMBER 25, 2023

A complete view of the enterprise Now, Molex can ingest large volumes of data from customer interactions, SAP production lines, and financial transactions with Snowflake’s cloud-based platform. Data shares are secure, configurable, and controlled completely by the provider account. Access to a share can be revoked at any time.

Manufacturing 103

Manufacturing Cloud Electronics BI 103

Data Engineering Podcast

SEPTEMBER 12, 2021

Summary The Cassandra database is one of the first open source options for globally scalable storage systems. Since its introduction in 2008 it has been powering systems at every scale. Cassandra is primarily used as a system of record. Since its introduction in 2008 it has been powering systems at every scale.

Database 100

Database Kafka Metadata Data Storage 100

Cloudera

AUGUST 11, 2021

Point solutions are still used every day in many enterprise systems, but as IT continues to evolve, the platform approach beats point solutions in almost every use case. A few years ago, there were several choices of data deduplication apps for storage, and now, it’s a standard function in every system.

Cloud 121

Cloud Big Data Cloud Computing Government 121

Data Engineering Weekly

DECEMBER 2, 2023

The paper discusses trade-offs among data freshness, resource cost, and query performance. Ref: [link] In the current state of the data infrastructure, we use a combination of multiple specialized data storage and processing engines to achieve this balance. Here are a few interesting reads. What is Next?

IT 85

IT BI AWS Kafka 85

Precisely

OCTOBER 24, 2024

As your systems age, operational costs grow – including the cost of staffing highly specialized individuals to manage legacy technologies. For example, many organizations are now sunsetting older, more expensive systems in favor of cloud technologies that are more widely understood and easier to staff for.

Cloud 111

Cloud Data Integration Insurance Data 111

Data Engineering Podcast

FEBRUARY 27, 2022

If you’re a data engineering podcast listener, you get credits worth $3000 on an annual subscription TimescaleDB, from your friends at Timescale, is the leading open-source relational database with support for time-series data. Time-series data is time stamped so you can measure how a system is changing.

Designing 100

Designing Metadata Data Lake Relational Database 100

Cloudera

NOVEMBER 1, 2023

Managing the data that represents organizational knowledge is easy for any developer and does not require exhaustive cycles of data science work. Utilizing Pinecone for vector data storage over an in-house open-source vector store can be a prudent choice for organizations.

Machine Learning 110

Machine Learning Data Ingestion Database Architecture 110

Cloudera

FEBRUARY 8, 2021

As advanced use cases, like advanced driver assistance systems featuring lane change departure detection, advanced vehicle diagnostics, or predictive maintenance move forward, the existing infrastructure of the connected car is being stressed. billion in 2019, and is projected to reach $225.16 billion by 2027, registering a CAGR of 17.1%

Manufacturing 108

Manufacturing Machine Learning Data Ingestion Electronics 108

Cloudera

JANUARY 6, 2021

Python is used extensively among Data Engineers and Data Scientists to solve all sorts of problems from ETL/ELT pipelines to building machine learning models. Apache HBase is an effective data storage system for many workflows but accessing this data specifically through Python can be a struggle.

Machine Learning 133

Machine Learning Data Science Database Building 133

Cloudera

OCTOBER 6, 2022

Replace legacy: It’s hard to avoid having “legacy” systems/applications or versions since technology advancements are moving so fast these days. We see this consistently in the data platform/data storage space. . Replacing redundant data storage is a clear opportunity in this category.

Data Lake 90

Data Lake Machine Learning Data Storage Cloud Computing 90

The Pragmatic Engineer

JUNE 13, 2023

For data storage , it uses an object store cluster, running on VAST hardware. In this cluster, around 15 PB of raw data and 21 PB of logical data can be stored. More data can be fitted than there is raw storage available thanks to VAST’s data deduplication.

Cloud 232

Cloud Database Utilities BI 232