ProjectPro

JUNE 18, 2015

Big Data holds the promise of changing how businesses and people solve real world problems and Crowdsourcing plays a vital role in managing big data. Let’s understand how crowdsourcing big data can revolutionize business processes. When we think of big data, we think of enterprise crowdsourcing.

Big Data 52

Big Data Process Data Cleanse Data Analytics 52

ProjectPro

APRIL 8, 2015

It is labelled as the next generation platform for data processing because of its low cost and ultimate scalable data processing capabilities. Here are top 6 big data analytics vendors that are serving Hadoop needs of various big data companies by providing commercial support. billion by 2020.

Hadoop 40

Hadoop Big Data Data Solutions Amazon Web Services 40

Cloudera

SEPTEMBER 26, 2023

Organizations increasingly rely on streaming data sources not only to bring data into the enterprise but also to perform streaming analytics that accelerate the process of being able to get value from the data early in its lifecycle.

Kafka 95

Kafka Technology IT Government 95

Ripple Engineering

JULY 9, 2024

  Ripple's Journey and Challenges with the Legacy System Our legacy system was once at the forefront of big data processing, but as our operations grew, we faced a tangle of complexities. High maintenance costs and a system that struggled to meet the real-time demands of our data-driven initiatives.

Hadoop 96

Hadoop Data Lake Machine Learning Raw Data 96

DataKitchen

APRIL 13, 2021

Testing and Data Observability. Process Analytics. We have also included vendors for the specific use cases of ModelOps, MLOps, DataGovOps and DataSecOps which apply DataOps principles to machine learning, AI, data governance, and data security operations. . Reflow — A system for incremental data processing in the cloud.

Consulting 121

Consulting Machine Learning Data Science Data Pipeline 121

The Modern Data Company

APRIL 12, 2023

The market’s technical talent shortage and the high demand for analytics experts can make it difficult for healthcare organizations to find and retain the in-house expertise they need to design, deploy, and maintain cutting-edge data solutions. Resistance to Change Healthcare organizations can be slow to adopt new technologies.

Healthcare 98

Healthcare Hospitality Medical Electronics 98

Towards Data Science

MAY 30, 2023

Comparing the performance of ORC and Parquet on spatial joins across 2 Billion rows on an old Nvidia GeForce GTX 1060 GPU on a local machine Photo by Clay Banks on Unsplash Over the past few weeks I have been digging a bit deeper into the advances that GPU data processing libraries have made since I last focused on it in 2019.

Data Engineering 97

Data Engineering Data Engineer Engineering Datasets 97

Towards Data Science

JULY 26, 2024

Learn from Software Engineers and Discover the Joy of ‘Worse is Better’ Thinking source: unsplash.com Recently, I have had the fortune of speaking to a number of data engineers and data architects about the problems they face with data in their businesses. Don’t be afraid to champion radical simplicity in your data team.

Data Engineering 75

Data Engineering Data Engineer Engineering Data Warehouse 75

Precisely

MAY 2, 2024

That’s what makes slow, manual customer data management so damaging. These processes are prone to errors, and poor-quality data can lead to delays in order processing and a host of downstream shipping and invoicing problems that put your customer relationships at risk. What is Customer Master Data in SAP?

Coding Skills 68

Coding Skills Food Data Portfolio 68

Striim

AUGUST 31, 2023

Showing how Kappa unifies batch and streaming pipelines The development of Kappa architecture has revolutionized data processing by allowing users to quickly and cost-effectively reduce data integration costs. Stream processors, storage layers, message brokers, and databases make up the basic components of this architecture.

Data Integration 69

Data Integration Architecture Amazon Web Services Machine Learning 69

Knowledge Hut

NOVEMBER 2, 2023

An Azure Data Engineer is a professional responsible for designing, implementing, and managing data solutions using Microsoft's Azure cloud platform. They work with various Azure services and tools to build scalable, efficient, and reliable data pipelines, data storage solutions, and data processing systems.

Data Engineering 52

Data Engineering Data Engineer Engineering Pipeline-centric 52

Edureka

FEBRUARY 7, 2023

An Azure Data Engineer is responsible for designing, implementing, and maintaining data management and data processing systems on the Microsoft Azure cloud platform. They work with large and complex data sets and are responsible for ensuring that data is stored, processed, and secured efficiently and effectively.

Data Engineering 52

Data Engineering Data Engineer Engineering Programming Language 52

Striim

JULY 31, 2024

At Striim, we’re excited to partner with GigaOm to present an exclusive webinar that promises to shed light on a game-changing topic in the world of data: “The Rise of Streaming Data Platforms: Embrace the Future Now.” Real-time data processing has evolved from a competitive advantage to a necessity.

Big Data 52

Big Data Machine Learning SQL Utilities 52

Knowledge Hut

APRIL 25, 2024

To excel in big data and make a career out of it, one can opt for top Big Data certifications. What is Big Data? Big data is the collection of huge amounts of data exponentially growing over time. This data is so vast that the traditional data processing software cannot manage it.

Big Data 97

Big Data Entertainment Transportation Banking 97

Knowledge Hut

DECEMBER 28, 2023

In this comprehensive guide, we will demystify the process of achieving the Azure Data Engineer certification. This blog will guide us through the Azure Data Engineer certification path , equipping us with insights necessary for this transformative journey. Who is an Azure Data Engineer?

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Knowledge Hut

MARCH 20, 2024

Speaking from experience, the data engineers in this role are right in the thick of it all. From start to finish, Azure data engineer roles and responsibilities revolve around designing, implementing, and managing data solutions specifically tailored for the Azure platform.

Data Engineering 52

Data Engineering Data Engineer Engineering Certification 52

Knowledge Hut

MARCH 15, 2024

Speaking from experience, the data engineers in this role are right in the thick of it all. From start to finish, Azure data engineer roles and responsibilities revolve around designing, implementing, and managing data solutions specifically tailored for the Azure platform.

Data Engineering 52

Data Engineering Data Engineer Engineering Certification 52

Knowledge Hut

NOVEMBER 17, 2023

Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure Storage, Azure Data Lake, Azure Blob Storage, Azure Cosmos DB, Azure Stream Analytics, Azure HDInsight, and other Azure data services are just a few of the many Azure data services that Azure data engineers deal with.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

Knowledge Hut

DECEMBER 29, 2023

A Data Engineer's primary responsibility is the construction and upkeep of a data warehouse. In this role, they would help the Analytics team become ready to leverage both structured and unstructured data in their model creation processes. They construct pipelines to collect and transform data from many sources.

Data Science 98

Data Science Data Mining Deep Learning Programming Language 98

Knowledge Hut

NOVEMBER 18, 2023

In the fast-developing field of data engineering, there is an increasing need for experts who can handle large amounts of data. Your expertise in this in-demand technology will be demonstrated by your possession of an Azure Data Engineer certification , from one of the top cloud platforms for data solutions.

Data Engineering 52

Data Engineering Data Engineer Engineering Certification 52

Snowflake

JUNE 13, 2023

“By using Snowflake’s platform as the analytical engine behind our Power BI and SAP data, we now have a much more governable data solution. We can load and transform data much faster than before.” With data processing and analytics, you sometimes want to fail fast to answer your most pressing production questions.

Cloud 52

Cloud Manufacturing Datasets Scala 52

Ascend.io

SEPTEMBER 5, 2023

In the fast-evolving landscape of cloud data solutions, Snowflake has consistently been at the forefront of innovation, offering enterprises sophisticated tools to optimize their data management. Snowpark is a library equipped with an API that developers can use for querying and processing data within the Snowflake Data Cloud.

IT 59

IT Scala Java Programming Language 59

Knowledge Hut

NOVEMBER 17, 2023

Azure Data Engineers play an important role in building efficient, secure, and intelligent data solutions on Microsoft Azure's powerful platform. The position of Azure Data Engineers is becoming increasingly important as businesses attempt to use the power of data for strategic decision-making and innovation.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Lake 52

Knowledge Hut

DECEMBER 26, 2023

You can execute this by learning data science with python and working on real projects. These skills are essential to collect, clean, analyze, process and manage large amounts of data to find trends and patterns in the dataset. Using Big Data, they provide technical solutions and insights that can help achieve business goals.

Data Science 97

Data Science BI Machine Learning Business Intelligence 97

Knowledge Hut

MARCH 28, 2024

Azure Data Engineer Career Demands & Benefits Azure has become one of the most powerful platforms in the industry, where Microsoft offers a variety of data services and analytics tools. As a result, organizations are looking to capitalize on cloud-based data solutions. GDPR, HIPAA), and industry standards.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

Knowledge Hut

SEPTEMBER 26, 2023

Organisations are constantly looking for robust and effective platforms to manage and derive value from their data in the constantly changing landscape of data analytics and processing. These platforms provide strong capabilities for data processing, storage, and analytics, enabling companies to fully use their data assets.

Data Lake 52

Data Lake Database-centric Machine Learning Pipeline-centric 52

Knowledge Hut

SEPTEMBER 25, 2023

Who is an Azure Data Engineer? As an Azure Data Engineer, you will be expected to design, implement, and manage data solutions on the Microsoft Azure cloud platform. They guarantee that the data is efficiently cleaned, converted, and loaded.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Lake 52

Edureka

FEBRUARY 9, 2023

Azure Data Engineers Jobs – The Demand According to Gartner, by 2023, 80-90 % of all databases will be deployed or transferred to a cloud platform, with only 5% ever evaluated for repatriation to on-premises. As long as there is data to process, data engineers will be in high demand.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Mining 52

Ascend.io

JULY 3, 2024

Automation Automating repetitive tasks and data workflows minimizes manual intervention and reduces errors. By leveraging advanced tools and technologies, organizations can streamline processes such as data extraction, transformation, and loading (ETL). Check out this session from the 2023 Data Automation Summit.

Data Workflow 52

Data Workflow Data Pipeline Data Data Engineer 52

Precisely

MARCH 14, 2023

New technologies are making it easier for customers to process increasingly large datasets more rapidly. Then, data clouds from providers like Snowflake and Databricks made deploying and managing enterprise-grade data solutions much simpler and more cost-effective. Cloud-native data execution is just the beginning.

Data Integration 52

Data Integration High Quality Data BI Data 52

Knowledge Hut

JULY 5, 2024

Hadoop and Spark: The cavalry arrived in the form of Hadoop and Spark, revolutionizing how we process and analyze large datasets. Cloud Era: Cloud platforms like AWS and Azure took center stage, making sophisticated data solutions accessible to all.

Data Engineering 52

Data Engineering Data Engineer Engineering Hadoop 52

Edureka

FEBRUARY 9, 2023

Azure Data Engineering is a rapidly growing field that involves designing, building, and maintaining data processing systems using Microsoft Azure technologies. As the demand for data engineers grows, having a well-written resume that stands out from the crowd is critical.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

Snowflake

JULY 24, 2023

Around 1500 people across a wide range of roles, from accountants and financial controllers to top-level managers, rely on Fortum’s financial data, meaning it has to be highly accessible while remaining completely secure and compliant. Our data infrastructure had simply reached the end of its life.”

Engineering 52

Engineering Building Finance Data Lake 52

Sync Computing

NOVEMBER 20, 2024

They focus on providing cost-effective cluster design, modular development for reusability, and massively parallel processing to enhance performance for Databricks workloads. Synergy between Apex Systems and Gradient Apexs global pool of technical experts makes it easy to build bespoke data solutions to match your initial needs.

Systems 52

Systems Consulting Machine Learning Data Pipeline 52

Monte Carlo

SEPTEMBER 25, 2024

A data lake is essentially a vast digital dumping ground where companies toss all their raw data, structured or not. A modern data stack can be built on top of this data storage and processing layer, or a data lakehouse or data warehouse, to store data and process it before it is later transformed and sent off for analysis.

Data Lake 52

Data Lake Food Google Cloud AWS 52

Ascend.io

JULY 3, 2024

This fragmented approach led to inefficiencies, delays, and a lack of coherence in data workflows. Historical Context and Evolution: Traditional Data Management: In the past, data management processes were largely manual, with a focus on batch processing. Want to learn more about CI/CD?

Data Workflow 52

Data Workflow Data Pipeline Data Data Engineer 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