Precisely

OCTOBER 2, 2023

Manual, error-prone SAP data processes simply don’t cut it anymore. Automating the processes that create and maintain the vast amounts of interdependent data that support your SAP ERP business processes is key to gaining agility, speed, and improved data quality and integrity. Automation.

Process 64

Process Finance Government Data Management 64

Data Engineering Podcast

DECEMBER 31, 2018

Summary As more companies and organizations are working to gain a real-time view of their business, they are increasingly turning to stream processing technologies to fullfill that need. However, the storage requirements for continuous, unbounded streams of data are markedly different than that of batch oriented workloads.

Lambda Architecture 100

Lambda Architecture Process Data Process Kafka 100

Knowledge Hut

JANUARY 30, 2024

ITIL Processes ITIL comprises several processes that make it extremely adaptable, scalable, and diverse. These processes consist of activities with specified inputs, causes, and outputs. Let's look at some of the ITIL Processes and ideas that underpin them. This process is completed through five successive activities.

Process 52

Process Certification Portfolio Accessible 52

Data Engineering Podcast

APRIL 24, 2022

WhyLogs is a powerful library for flexibly instrumenting all of your data systems to understand the entire lifecycle of your data from source to productionized model. You have full control over your data and their plugin system lets you integrate with all of your other data tools, including data warehouses and SaaS platforms.

Machine Learning 100

Machine Learning Systems Data Lake Metadata 100

Data Engineering Podcast

JULY 27, 2020

Summary A majority of the scalable data processing platforms that we rely on are built as distributed systems. Kyle Kingsbury created the Jepsen framework for testing the guarantees of distributed data processing systems and identifying when and why they break.

Systems 100

Systems Building Scala Java 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. Telemetry data routed to the Cloudera Enterprise Data Hub flows into Apache Kafka.

Data Process 40

Data Process Process Building Machine Learning 40

Databand.ai

JULY 19, 2023

Complete Guide to Data Ingestion: Types, Process, and Best Practices Helen Soloveichik July 19, 2023 What Is Data Ingestion? Data Ingestion is the process of obtaining, importing, and processing data for later use or storage in a database. In this article: Why Is Data Ingestion Important?

Data Ingestion 52

Data Ingestion Process Data Cleanse Data Governance 52

Booking.com Engineering

DECEMBER 2, 2022

From a technical perspective, solving this requires machine learning and operational infrastructure at scale, which is processing performance feedback, assessing historical performance and after running algorithms, communicating results back to a search engine provider. PPC as a business represents a global optimization problem.

Systems 52

Systems Cloud MySQL Relational Database 52

Cloudera

JULY 18, 2022

In this blog we will conclude the implementation of our fraud detection use case and understand how Cloudera Stream Processing makes it simple to create real-time stream processing pipelines that can achieve neck-breaking performance at scale. Data decays! It has a shelf life and as time passes its value decreases. Apache Flink.

Process 86

Process Kafka Scala SQL 86

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

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

Precisely

JULY 20, 2023

In a disruptive market, agility and speed are key to success and a competitive edge – and automating your critical SAP ® processes helps unlock those capabilities. When you set out to improve data quality and integrity, it’s critical to keep in mind the interdependence of process and data.

Process 40

Process Finance Government Coding 40

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

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

LinkedIn Engineering

JANUARY 19, 2024

This multi-entity handover process involves huge amounts of data updating and cloning. 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.

Recruitment 88

Recruitment Data Process Process Kafka 88

Data Engineering Weekly

MARCH 8, 2023

Pathway is a Python framework for realtime data stream processing that handles updates for you. You can set up your processing pipeline, and Pathway will ingest the new streaming data points for you, sending you alerts in realtime. This portion of the data is called a window.

Process 52

Process Data Media Data Storage 52

Pinterest Engineering

SEPTEMBER 12, 2023

Behind the scenes, hundreds of ML engineers iteratively improve a wide range of recommendation engines that power Pinterest, processing petabytes of data and training thousands of models using hundreds of GPUs. In some cases, petabytes of data are streamed into training jobs to train a model.

Data Process 87

Data Process Process Datasets Scala 87

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 115

Building Data Data Process Systems 115

Precisely

FEBRUARY 29, 2024

Complexity is at the core of SAP automation challenges The core challenges to automating SAP processes essentially boil down to complexity. The business processes themselves are complex, as are the data objects associated with each SAP record. Let’s start with the complexity of the business processes.

IT 59

IT Process Data Collection Data Process 59

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

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 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

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

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 127

Pipeline-centric Food Healthcare Unstructured Data 127

Striim

MAY 1, 2024

UPS Capital provides customs brokerage services to navigate import/export processes, supply chain optimization tools like supply chain analytics and inventory management, and technology solutions like the UPS Capital Merchant Services platform and UPS Capital Cargo Finance platform.

Google Cloud 52

Google Cloud Insurance Finance Machine Learning 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

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. Top 10 Disadvantages of Big Data 1.

Big Data 52

Big Data Media Government Big Data Skills 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

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. This rigorous testing process not only tested our resolve but also provided a unique opportunity to enhance our product.

AWS 72

AWS Amazon Web Services Cloud Cloud Computing 72

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

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

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. Small Data is collected and processed at a slower pace.

Big Data 52

Big Data Datasets Data Analysis Media 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

JANUARY 18, 2024

“Big data Analytics” is a phrase that was coined to refer to amounts of datasets that are so large traditional data processing software simply can’t manage them. For example, big data is used to pick out trends in economics, and those trends and patterns are used to predict what will happen in the future.

Data Process 52

Data Process Process Hadoop Scala 52

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 94

IT Data Ingestion Data AWS 94

Towards Data Science

NOVEMBER 16, 2023

Data Management A tutorial on how to use VDK to perform batch data processing Photo by Mika Baumeister on Unsplash Versatile Data Ki t (VDK) is an open-source data ingestion and processing framework designed to simplify data management complexities.

Data Process 77

Data Process Process Raw Data Data 77