Snowflake

MARCH 16, 2023

By partnering with Deloitte as well, the company gets support in critical areas of its data and analytics program, including modernizing and migrating business critical data to the Partnership Data Platform. But in the future I absolutely hope that we can start sharing using the Data Cloud.”

Data Process 52

Data Process Cloud Process IT 52

Booking.com Engineering

DECEMBER 2, 2022

BigQuery also offers native support for nested and repeated data schema[4][5]. We take advantage of this feature in our ad bidding systems, maintaining consistent data views from our Account Specialists’ spreadsheets, to our Data Scientists’ notebooks, to our bidding system’s in-memory data.

Systems 52

Systems Cloud MySQL Relational Database 52

Ripple Engineering

MARCH 2, 2021

How do you make a computer system maximally secure and reliable? Disconnect it from all networks and never change any of the software or data. How do you make a computer system maximally useful? Connect it to networks and make frequent changes to the software and data! What is SOC 2? Why does Ripple want to pass SOC 2?

Systems 52

Systems Banking Certification Designing 52

Data Engineering Podcast

DECEMBER 31, 2018

What are the use cases for Pravega and how does it fit into the data ecosystem? How does it compare with systems such as Kafka and Pulsar for ingesting and persisting unbounded data? What are some of the unique system design patterns that are made possible by Pravega? How do you represent a stream on-disk?

Lambda Architecture 100

Lambda Architecture Process Data Process Kafka 100

Cloudera

SEPTEMBER 11, 2018

The open data processing pipeline. IoT is expected to generate a volume and variety of data greatly exceeding what is being experienced today, requiring modernization of information infrastructure to realize value. The post Building an Open Data Processing Pipeline for IoT appeared first on Cloudera Blog.

Data Process 40

Data Process Process Building Machine Learning 40

Analytics Vidhya

FEBRUARY 7, 2023

Introduction Data engineering is the field of study that deals with the design, construction, deployment, and maintenance of data processing systems. This includes designing and implementing […] The post Most Essential 2023 Interview Questions on Data Engineering appeared first on Analytics Vidhya.

Data Engineering 240

Data Engineering Data Engineer Engineering Data 240

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 NoSQL Hadoop 98

LinkedIn Engineering

OCTOBER 19, 2023

Authors: Bingfeng Xia and Xinyu Liu Background At LinkedIn, Apache Beam plays a pivotal role in stream processing infrastructures that process over 4 trillion events daily through more than 3,000 pipelines across multiple production data centers.

Process 119

Process Lambda Architecture Kafka Machine Learning 119

Confluent

FEBRUARY 6, 2024

Confluent enables real-time, reliable, scalable, and secure communication between IoT devices, applications, and backend systems. Streamline data processing and unlock analytics to boost productivity and time to market while lowering infrastructure costs.

Building 116

Building Data Data Process Systems 116

Knowledge Hut

MAY 2, 2024

Apache Spark is a fast and general-purpose cluster computing system. It also supports a rich set of higher-level tools, including Spark SQL for SQL and structured data processing, MLlib for machine learning, GraphX for graph processing, and Spark Streaming. If you don’t have java installed on your system.

Java 98

Java Hadoop Scala SQL 98

Striim

APRIL 22, 2024

Challenges The primary obstacle for Discovery Health was the sheer scale of data across disparate systems and technologies. This complexity led to significant delays in data processing, impacting their ability to make timely decisions and adversely affecting the customer experience. Sign up for a free trial today!

Healthcare 52

Healthcare Insurance Portfolio Banking 52

Netflix Tech

NOVEMBER 14, 2023

In this context, managing the data, especially when it arrives late, can present a substantial challenge! In this three-part blog post series, we introduce you to Psyberg , our incremental data processing framework designed to tackle such challenges! What is late-arriving data? How does late-arriving data impact us?

Data Engineering 105

Data Engineering Data Engineer Engineering Metadata 105

Knowledge Hut

APRIL 23, 2024

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. Thus, it is no wonder that the origin of big data is a topic many big data professionals like to explore.

Big Data 52

Big Data Amazon Web Services Media Cloud Computing 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.

Big Data 98

Big Data Bytes Data Governance Raw Data 98

Precisely

APRIL 11, 2024

This initiative is a testament to how partnerships, innovation, and a commitment to excellence can redefine the landscape of cloud computing for legacy systems. Solution page Precisely on Amazon Web Services (AWS) Precisely brings data integrity to the AWS cloud.

AWS 72

AWS Amazon Web Services Cloud Cloud Computing 72

Striim

MAY 1, 2024

The sheer volume of data generated from the increasing package deliveries overwhelmed existing data management systems, underscoring a critical need for more advanced data handling capabilities. The absence of real-time data processing capabilities hindered UPS Capital’s risk management and rapid response efforts.

Google Cloud 52

Google Cloud Insurance Finance Machine Learning 52

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. Take patient management systems as an example.

Big Data 52

Big Data Media Government Big Data Skills 52

Precisely

FEBRUARY 29, 2024

Read Addressing poor data quality Following the top two are challenges associated with identifying and maintaining automation tools and solutions, difficulties with resources and personnel, and issues concerning integrating other systems into SAP processes. Poor data quality is also called out as a specific challenge.

IT 59

IT Process Data Collection Data Process 59

Snowflake

APRIL 8, 2024

BigGeo BigGeo accelerates geospatial data processing by optimizing performance and eliminating challenges typically associated with big data. Scientific Financial Systems Beating the market is the driving force for investment management firms — but beating the market is not easy.

Pipeline-centric 126

Pipeline-centric Food Healthcare Unstructured Data 126

LinkedIn Engineering

JANUARY 19, 2024

Data consistency, feature reliability, processing scalability, and end-to-end observability are key drivers to ensuring business as usual (zero disruptions) and a cohesive customer experience. With our new data processing framework, we were able to observe a multitude of benefits, including 99.9%

Recruitment 88

Recruitment Data Process Process Kafka 88

Precisely

APRIL 30, 2024

RPA is best suited for simple tasks involving consistent data. It’s challenged by complex data processes and dynamic environments Complete automation platforms are the best solutions for complex data processes. Integration issues: Complex processes often involve interacting with multiple systems and applications.

Unstructured Data 59

Unstructured Data Government Data Validation Programming 59

Data Engineering Weekly

MAY 16, 2023

In the first part of this series, we talked about design patterns for data creation and the pros & cons of each system from the data contract perspective. In the second part, we will focus on architectural patterns to implement data quality from a data contract perspective. Why is Data Quality Expensive?

Engineering 110

Engineering Kafka Data Pipeline Data Warehouse 110

Pinterest Engineering

SEPTEMBER 12, 2023

It often requires a long process that touches many languages and frameworks. They have to integrate these jobs with workflow systems, test them at scale, tune them, and release into production. This is not an interactive process, and often bugs are not found until later. However, this approach has its own challenges.

Data Process 88

Data Process Process Datasets Scala 88

Knowledge Hut

APRIL 29, 2024

The stakes are high in the banking and financial industry since substantial financial sums are at risk and the potential for significant economic upheaval if banks and other financial systems are compromised. One of the officials fell for the phishing email and clicked on a dubious link, which allowed the malware to hack the system.

Banking 98

Banking Government Media Electronics 98

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. What do you have planned for the future of your academic research?

Data Process 147

Data Process Process Data Lake High Quality Data 147

Striim

MAY 16, 2024

Table of Contents The Rise of GenAI in Customer Experiences GenAI represents a leap in how businesses can leverage artificial intelligence (AI) to glean insights from vast amounts of data instantly. Retrieval-Augmented Generation : Striim’s platform employs RAG for infusing more context into the decision-making capabilities of GenAI systems.

Algorithm 52

Algorithm Media Transportation Machine Learning 52

Knowledge Hut

DECEMBER 28, 2023

Competitive Advantage: Utilizing Hadoop projects can give organizations a competitive edge through data-driven insights. Diverse Data Processing: Hadoop supports various data types and complex analysis challenges. Cost-Effectiveness: Hadoop is a cost-effective solution compared to traditional data processing systems.

Hadoop 52

Hadoop Project Datasets Big Data 52

Netflix Tech

DECEMBER 14, 2023

Engineers from across the company came together to share best practices on everything from Data Processing Patterns to Building Reliable Data Pipelines. The result was a series of talks which we are now sharing with the rest of the Data Engineering community!

Data Engineering 103

Data Engineering Data Engineer Engineering Metadata 103

Knowledge Hut

APRIL 23, 2024

Big Data vs Small Data: Volume Big Data refers to large volumes of data, typically in the order of terabytes or petabytes. It involves processing and analyzing massive datasets that cannot be managed with traditional data processing techniques.

Big Data 52

Big Data Datasets Data Analysis Media 52

Data Engineering Weekly

JANUARY 28, 2024

[link] Snap: Airflow Evolution at Snap Snap writes about its Airflow infrastructure evolution by combining multiple isolated instances into a multi-tenant system with RBAC enablement. If you have a data quality problem, success like this can seem out of reach.

Data Engineering 57

Data Engineering Data Engineer Engineering AWS 57

Knowledge Hut

MAY 2, 2024

Apache Spark is a fast and general-purpose cluster computing system. It also supports a rich set of higher-level tools, including Spark SQL for SQL and structured data processing, MLlib for machine learning, GraphX for graph processing, and Spark Streaming. is installed in your system. Minimum of 8 GB RAM.

Hadoop 52

Hadoop Java Scala Programming Language 52

Data Engineering Weekly

MAY 5, 2024

[link] Uber: From Predictive to Generative – How Michelangelo Accelerates Uber’s AI Journey Constantly adopting and implementing tech advancement with an existing system indicates efficient engineering. Hallucinations and the system's lack of explainability are the primary reasons for mistrust in Gen AI.

Data Engineering 67

Data Engineering Data Engineer Engineering Google Cloud 67

Netflix Tech

NOVEMBER 14, 2023

In the previous installments of this series, we introduced Psyberg and delved into its core operational modes: Stateless and Stateful Data Processing. Pipelines After Psyberg Let’s explore how different modes of Psyberg could help with a multistep data pipeline. Metadata Recording : Metadata is persisted for traceability.

Metadata 97

Metadata Data Pipeline Scala Data Workflow 97

DataKitchen

OCTOBER 20, 2023

The Challenge: High Stakes in the Age of Personalized Data Observability The primary challenge stems from the requirement of Data Consumers for personalized monitoring and alerts based on their unique data processing needs. Data Observability platforms often need to deliver this level of customization.

Insurance 67

Insurance Pharmaceutical Data Data Ingestion 67

Snowflake

MARCH 14, 2024

They applied solutions like SAP BusinessObjects Data Services, Fivetran and Qlik, or used extractors to get SAP data into SAP BW and then attached more tools to get the data from SAP BW into other systems. Those trade-offs became less acceptable as demand for near real-time data and analytics increased.

IT 91

IT Data Ingestion Data AWS 91

Ascend.io

NOVEMBER 21, 2023

The emergence of cloud data warehouses, offering scalable and cost-effective data storage and processing capabilities, initiated a pivotal shift in data management methodologies. Extract The initial stage of the ELT process is the extraction of data from various source systems.

Raw Data 52

Raw Data Data Warehouse Data Cleanse Data Integration 52

Knowledge Hut

JUNE 30, 2023

This article suggests the top eight data engineer books ranging from beginner-friendly manuals to in-depth technical references. What is Data Engineering? It refers to a series of operations to convert raw data into a format suitable for analysis, reporting, and machine learning which you can learn from data engineer books.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52