The Modern Data Company

MAY 8, 2023

Data lakes, data warehouses, data hubs, data lakehouses, and data operating systems are data management and storage solutions designed to meet different needs in data analytics, integration, and processing. Potential downsides of data lakes include governance and integration challenges.

Data Management 52

Data Management Management Data Lake Data Governance 52

The Modern Data Company

MAY 8, 2023

Data lakes, data warehouses, data hubs, data lakehouses, and data operating systems are data management and storage solutions designed to meet different needs in data analytics, integration, and processing. Potential downsides of data lakes include governance and integration challenges.

Data Management 52

Data Management Data Lake Management Data Governance 52

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. What factors are most important when building a data management ecosystem?

Data Management 52

Data Management Management Data Lake Data Warehouse 52

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. What factors are most important when building a data management ecosystem?

Data Management 52

Data Management Management Data Lake Data Warehouse 52

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. What factors are most important when building a data management ecosystem?

Data Management 52

Data Management Management Data Lake Data Warehouse 52

Cloudera

SEPTEMBER 26, 2023

IBM and Cloudera’s common goal is to accelerate data-driven decision making for enterprise customers, working on defining and executing the best solution for each customer. You can now elevate your data potential and activate AI’s capabilities through the synergic integration between IBM watsonx and Cloudera.

Kafka 100

Kafka Technology IT Government 100

DataKitchen

APRIL 13, 2021

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. . ModelOp — Governs, monitors, and orchestrates models across the enterprise. Process Analytics.

Consulting 124

Consulting Machine Learning Data Science Data Pipeline 124

Cloudera

DECEMBER 12, 2022

Over the past few months industry analysts have been making some pretty controversial recommendations for data management in the cloud. Pat isn’t the only analyst talking hybrid and multi-cloud for data management, although he may be the most entertaining. Neither do the point solution (more on them later).

Cloud 100

Cloud Entertainment Telecommunication Insurance 100

Cloudera

JULY 29, 2022

Corporations are generating unprecedented volumes of data, especially in industries such as telecom and financial services industries (FSI). However, not all these organizations will be successful in using data to drive business value and increase profits. Is yours among the organizations hoping to cash in big with a big data solution?

Data Architecture 94

Data Architecture Architecture Unstructured Data Government 94

Cloudera

DECEMBER 14, 2020

One trend that we’ve seen this year, is that enterprises are leveraging streaming data as a way to traverse through unplanned disruptions, as a way to make the best business decisions for their stakeholders. . Today, a new modern data platform is here to transform how businesses take advantage of real-time analytics.

Process 75

Process Kafka Government Big Data 75

Towards Data Science

MAY 19, 2023

Tech Target , defines a data silo as a repository of data controlled by one department or business unit and, therefore, not wholly or easily accessible by other departments within the same organisation. Absence or poor adoption of company-wide guidelines surrounding the creation and deployment of data products.

Pipeline-centric 104

Pipeline-centric Data Software Engineer Software Engineering 104

The Modern Data Company

APRIL 15, 2024

Understands how different pieces of data (books) relate to each other, helping users find related information. Keeps the library orderly, adjusting as new data arrives. Tracks key performance indicators to understand the use and value of the data. Manages information about data access and monitors data quality.

Government 52

Government Metadata Data Data Management 52

AltexSoft

FEBRUARY 11, 2023

Data architecture is the organization and design of how data is collected, transformed, integrated, stored, and used by a company. Bad data management be like, Source: Makeameme Data architects are sometimes confused with other roles inside the data science team.

Data Architect 87

Data Architect Certification Generalist Big Data 87

Precisely

JANUARY 6, 2023

Environmental, social, and governance (ESG) initiatives are topics of discussion everywhere – in the workplace, social media, news outlets, and beyond. Recent public advocacy efforts around climate issues, diversity and inclusion, data privacy, and more have been driving forces in pushing ESG to the forefront. And for good reason.

Government 52

Government Education Data Integration Media 52

Ascend.io

DECEMBER 4, 2024

Further Exloration: What is data automation? Deploy DataOps DataOps , or Data Operations, is an approach that applies the principles of DevOps to data management. It aims to streamline and automate data workflows, enhance collaboration and improve the agility of data teams.

Data Pipeline 52

Data Pipeline Metadata Data Workflow Data 52

Knowledge Hut

MARCH 28, 2024

Data Engineer Career: Overview Currently, with the enormous growth in the volume, variety, and veracity of data generated and the will of large firms to store and analyze their data, data management is a critical aspect of data science. That’s where data engineers are on the go.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

Ascend.io

DECEMBER 4, 2024

Further Exloration: What is data automation? Deploy DataOps DataOps , or Data Operations, is an approach that applies the principles of DevOps to data management. It aims to streamline and automate data workflows, enhance collaboration and improve the agility of data teams.

Data Pipeline 52

Data Pipeline Metadata Data Workflow Data 52

Precisely

MAY 2, 2024

When it comes to customer-related transactions and analytics, your data’s integrity, accuracy, and accessibility directly impact your business’s ability to operate efficiently and deliver value to customers. That’s what makes slow, manual customer data management so damaging. The solution?

Coding Skills 69

Coding Skills Food Data Portfolio 69

Snowflake

JUNE 13, 2023

“We needed to clear a large data backlog to do things faster—including producing reports at high speed,” said Sanjeev Kumar, Head of Data Management and Analytics at tesa. “By 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.

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. This enhances data governance and aids in decision-making.

IT 59

IT Scala Java Programming Language 59

Data Engineering Weekly

MARCH 30, 2023

We discussed that the siloed nature of many data products has led to industry consolidation, ultimately benefiting customers. Throughout our discussion, we touch on how the Modern Data Stack (MDS) movement has resulted in various specialized tools in areas such as ingestion, cataloging, governance, and quality.

Machine Learning 52

Machine Learning Government AWS Data Engineering 52

Knowledge Hut

DECEMBER 29, 2023

Types of Specializations in Data Science (Areas of Data Science) The fields of business, research, and government are all increasingly using data science. Learning Outcomes: You will understand the processes and technology necessary to operate large data warehouses.

Data Science 98

Data Science Data Mining Deep Learning Programming Language 98

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.

Food 52

Food Consulting Pharmaceutical Data Lake 52

Ascend.io

OCTOBER 8, 2024

Data engineering is the backbone of any data-driven organization, responsible for building and maintaining the infrastructure that supports data collection, storage, and analysis. Traditionally, data engineers have focused on the technical aspects of data management, ensuring data pipelines run smoothly and efficiently.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Architecture 52

Precisely

MARCH 14, 2023

Then, data clouds from providers like Snowflake and Databricks made deploying and managing enterprise-grade data solutions much simpler and more cost-effective. Now, almost any company can build a solid, cost-effective data analytics or BI practice grounded in these new cloud platforms.

Data Integration 52

Data Integration High Quality Data BI Data 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

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. Final thoughts on the importance of creating a strong resume for the role of an Azure Data Engineer.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

Knowledge Hut

DECEMBER 26, 2023

IBM is the leading supplier of Big Data-related products and services. IBM Big Data solutions include features such as data storage, data management, and data analysis. It also provides Big Data products, the most notable of which is Hadoop-based Elastic MapReduce.

Big Data 52

Big Data Unstructured Data Amazon Web Services Hadoop 52

ProjectPro

FEBRUARY 1, 2017

ii) AtScale survey reveals that more than half of the organizations having big data solutions living on the cloud today that is likely to increase to 3/4th. iv) Companies building big data solutions on hadoop will focus on data governance and security menace as a frontier of their big data initiatives in 2017.

Hadoop 52

Hadoop MongoDB Big Data Kafka 52

Knowledge Hut

MARCH 26, 2024

Extensive experience in enterprise architecture, solution design, and IT governance. Excellent communication, stakeholder management, and leadership skills. Role Level: Mid to senior-level position requiring expertise in data architecture, database technologies, and analytics platforms. Strong business acumen.

Amazon Web Services 52

Amazon Web Services Google Cloud Computer Science AWS 52

Knowledge Hut

JULY 5, 2024

Early Days: Picture this – a time when data was handled manually, no computers in sight. Computing Revolution: Enter computers, and data management took a leap. Big Data Boom: Fast forward to the 2000s, and Big Data crashed onto the scene. It was all about paperwork and manual record-keeping.

Data Engineering 52

Data Engineering Data Engineer Engineering Hadoop 52

ProjectPro

JUNE 18, 2015

"- said Martha Crow, Senior VP of Global Testing at Lionbridge Big data is all the rage these days as various organizations dig through large datasets to enhance their operations and discover novel solutions to big data problems. Organizations need to collect thousands of data points to meet large scale decision challenges.

Big Data 52

Big Data Process Data Cleanse Data Analytics 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 23, 2024

Small Data is well-suited for focused decision-making, where specific insights drive actions. Big Data vs Small Data: Storage and Cost Big Data: Managing and storing Big Data requires specialized storage systems capable of handling large volumes of data.

Big Data 52

Big Data Datasets Data Analysis Media 52

Knowledge Hut

SEPTEMBER 22, 2023

The Azure Data Engineering Certificate is designed for data engineers and developers who wish to show that they are experts at creating and implementing data solutions using Microsoft Azure data services. Azure identity, access and security, as well as governance and compliance, are other abilities that are taught.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

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. Transform The final and critical phase in the ELT process is the transformation of data.

Raw Data 52

Raw Data Data Warehouse Data Cleanse Data Integration 52

Knowledge Hut

DECEMBER 27, 2023

CDH (Cloudera Distribution for Hadoop) Totally open source with a free platform distribution encompassing Apache Hadoop, Apache Spark, Apache Impala, and others for unlimited data processing. Allows unlimited data processing with high security and governance. Superb customer support with high security and governance.

Big Data Tools 59

Big Data Tools Big Data Hadoop Database-centric 59