The Modern Data Company

MAY 10, 2023

In our previous post, The Pros and Cons of Leading Data Management and Storage Solutions , we untangled the differences among data lakes, data warehouses, data lakehouses, data hubs, and data operating systems. Data lakes offer a scalable and cost-effective solution.

Data Management 52

Data Management Management Data Lake Data Warehouse 52

Knowledge Hut

JULY 5, 2024

Cloud Era: Cloud platforms like AWS and Azure took center stage, making sophisticated data solutions accessible to all. Modern Landscape: Today, Data Engineering involves slick ETL processes, real-time streaming, and the concept of data lakes, shaping the backbone of our data-driven world.

Data Engineer 52

Data Engineer Data Engineering Engineering Data Cleanse 52

DataKitchen

DECEMBER 7, 2021

This book is not available until January 2022, but considering all the hype around the data mesh, we expect it to be a best seller. In the book, author Zhamak Dehghani reveals that, despite the time, money, and effort poured into them, data warehouses and data lakes fail when applied at the scale and speed of today’s organizations.

Data Governance 98

Data Governance Big Data Data Science Government 98

Edureka

FEBRUARY 9, 2023

As the demand for data engineers grows, having a well-written resume that stands out from the crowd is critical. Azure data engineers are essential in the design, implementation, and upkeep of cloud-based data solutions. This language is used to interact with databases and perform data manipulations and querying.

Data Engineer 52

Data Engineer Data Engineering Engineering Amazon Web Services 52

Precisely

MARCH 27, 2023

We help enterprise leaders deliver transformational results, focusing first on the “why” and then proceed to design and execution that helps them to attain a measurable ROI for an enterprise data strategy. We help companies design, implement, operationalize, and ultimately optimize their enterprise data solutions.

Consulting 52

Consulting Food Pharmaceutical Data Lake 52

Edureka

FEBRUARY 7, 2023

Azure Data Engineers use a variety of Azure data services, such as Azure Synapse Analytics, Azure Data Factory, Azure Stream Analytics, and Azure Databricks, to design and implement data solutions that meet the needs of their organization. More than 546,200 new roles related to big data will result from this.

Data Engineer 52

Data Engineer Data Engineering Engineering Programming Language 52

Cloudera

NOVEMBER 18, 2021

Every one of our 22 finalists is utilizing cloud technology to push next-generation data solutions to benefit the everyday people who need it most – across industries including science, health, financial services and telecommunications. In doing so, Bank of the West has modernized and centralized its Big Data platform in just one year.

Banking 77

Banking Data Lake Telecommunication Data 77

Knowledge Hut

SEPTEMBER 21, 2023

At the heart of it, an Azure Data Engineer is a data professional who creates and maintains complex systems to collect, store, and analyze big data for organizations. We are the architects of data, ensuring its integrity, security, and accessibility.

Data Engineer 52

Data Engineer Data Engineering Engineering Cloud Computing 52

ProjectPro

FEBRUARY 8, 2017

With the use of various SQL-on-Hadoop tools like Hive, Impala, Phoenix, Presto and Drill, query accelerators are bridging the gap between traditional data warehouse systems and the world of big data. 2) Big Data is no longer just Hadoop A common misconception is that Big Data and Hadoop are synonymous.

Big Data 40

Big Data Hadoop Data Lake Machine Learning 40

Knowledge Hut

APRIL 25, 2024

Common dashboard templates Standard power bi dashboard templates already speed up the design process and enable users to import historical and current data. Connections to Data Sources To combine data from many sources for analysis, BI Dashboards can link to Data Warehouses, Data Marts, Data Lakes, Operating Systems, etc.

Business Intelligence 52

Business Intelligence BI Raw Data Data Lake 52

Monte Carlo

MARCH 24, 2023

Data corruption Like a backup hard drive or SD card that refuses to work…on a much bigger scale. Data duplication When using multiple sources, or in the process of re-running failed jobs you might end up with the same data entered more than once. But what about the permissions and policies surrounding that table?

Data Warehouse 52

Data Warehouse AWS Cloud Database 52

Striim

AUGUST 31, 2023

Treating batch and streaming as separate pipelines for separate use cases drives up complexity, cost, and ultimately deters data teams from solving business problems that truly require data streaming architectures.

Data Integration 69

Data Integration Architecture Amazon Web Services Machine Learning 69

AltexSoft

FEBRUARY 11, 2023

It serves as a foundation for the entire data management strategy and consists of multiple components including data pipelines; , on-premises and cloud storage facilities – data lakes , data warehouses , data hubs ;, data streaming and Big Data analytics solutions ( Hadoop , Spark , Kafka , etc.);

Data Architect 87

Data Architect Certification Generalist Big Data 87

The Modern Data Company

APRIL 15, 2024

Here’s why they’re game-changers: Central oversight with flexible use: Data Products allow for a bird’s-eye view of your data landscape while supporting specialized needs through isolated “data planes.”

Government 52

Government Metadata Data Data Management 52

Databand.ai

DECEMBER 13, 2022

She publishes a popular blog on Medium , featuring advice for data engineers and posts frequently on LinkedIn about coding and data engineering. He is also an AWS Certified Solutions Architect and AWS Certified Big Data expert. His most passionate topics include MLOps, machine learning, data quality and data governance.

Data Engineer 52

Data Engineer Data Engineering Engineering AWS 52

phData: Data Engineering

SEPTEMBER 27, 2024

Both persistent staging and data lakes involve storing large amounts of raw data. But persistent staging is typically more structured and integrated into your overall customer data pipeline. Building a composable CDP requires some serious data engineering chops. Looking for purchase data? New user sign-up?

Data 52

Data Raw Data Data Lake Architecture 52

ProjectPro

JULY 1, 2016

These Hadoop distributions now adhere to a specific set of expectations to run big data solutions. ostatic.com With many companies still struggling with Hadoop complexities to yield data-driven results, MapR announced its new initiative Spyglass. Source: [link] ) BMC evolving with Hadoop to launch new data solutions.

Hadoop 40

Hadoop Big Data Data Lake Algorithm 40

ProjectPro

JANUARY 31, 2022

The cloud is the only platform to handle today's colossal data volumes because of its flexibility and scalability. Launched in 2014, Snowflake is one of the most popular cloud data solutions on the market. Snowflake is a data warehousing platform that runs on the cloud. To increase reliability over Data Lake 1.0,

Architecture 52

Architecture IT Data Warehouse Amazon Web Services 52