Databand.ai

AUGUST 30, 2023

DataOps Architecture Legacy data architectures, which have been widely used for decades, are often characterized by their rigidity and complexity. These systems typically consist of siloed data storage and processing environments, with manual processes and limited collaboration between teams.

Architecture 52

Architecture Data Ingestion Data Governance Data Cleanse 52

The Modern Data Company

MAY 10, 2023

Data governance and security: Evaluate the native security, data governance, and data quality management features. Because data lakes can have performance limitations for these use cases, a data warehouse may be a better fit. A more flexible solution like a data lake or lakehouse may be better.

Data Management 52

Data Management Data Lake Management Data Warehouse 52

The Modern Data Company

MAY 10, 2023

Data governance and security: Evaluate the native security, data governance, and data quality management features. Because data lakes can have performance limitations for these use cases, a data warehouse may be a better fit. A more flexible solution like a data lake or lakehouse may be better.

Data Management 52

Data Management Management Data Lake Data Warehouse 52

The Modern Data Company

MAY 10, 2023

Data governance and security: Evaluate the native security, data governance, and data quality management features. Because data lakes can have performance limitations for these use cases, a data warehouse may be a better fit. A more flexible solution like a data lake or lakehouse may be better.

Data Management 52

Data Management Management Data Lake Data Warehouse 52

Knowledge Hut

APRIL 29, 2024

Before planning for remote team collaboration and workflows, companies must develop policies and select tools that have cloud security and data storage enabled as this protects your information with governance and compliance rules. The way going forward Life is unpredictable and so is the way people work.

Project 98

Project Portfolio Cloud Data Storage 98

Knowledge Hut

APRIL 26, 2024

Also called data storage areas , they help users to understand the essential insights about the information they represent. Machine Learning without data sets will not exist because ML depends on data sets to bring out relevant insights and solve real-world problems. Data is not available in a specific format.

Datasets 98

Datasets Machine Learning Deep Learning Finance 98

Cloudera

NOVEMBER 1, 2022

It’s no secret that IT modernization is a top priority for the US federal government. To quote Gartner VP Sid Nag, the “irrational exuberance of procuring cloud services” gave way to a more rational approach that prioritizes governance and security over which cloud to migrate workloads to, be it public, private, or hybrid. .

Cloud 88

Cloud Government Cloud Computing Data Architecture 88

Snowflake

SEPTEMBER 11, 2023

Canada, in addition to being one of those 71% of countries with data protection and privacy legislation, stands out as an early adopter of privacy legislation. Quebec takes that a step further with its Bill 64, now referred to as Law 25, which modernizes data protection and privacy legislation for Canada’s second most populated province.

Cloud 77

Cloud Electronics Government Data Governance 77

Knowledge Hut

APRIL 23, 2024

The history of big data takes people on an astonishing journey of big data evolution, tracing the timeline of big data. The Emergence of Data Storage and Processing Technologies A data storage facility first appeared in the form of punch cards, developed by Basile Bouchon to facilitate pattern printing on textiles in looms.

Big Data 52

Big Data Amazon Web Services Media Cloud Computing 52

Data Engineering Weekly

MARCH 3, 2024

The migration enhanced data quality, lineage visibility, performance improvements, cost reductions, and better reliability and scalability, setting a robust foundation for future expansions and onboarding. This approach helps maintain accuracy, relevance, and compliance in generative AI applications.

Data Engineering 67

Data Engineering Data Engineer Pipeline-centric Engineering 67

Databand.ai

MAY 30, 2023

High-quality data is essential for making well-informed decisions, performing accurate analyses, and developing effective strategies. Data quality can be influenced by various factors, such as data collection methods, data entry processes, data storage, and data integration.

Data Cleanse 85

Data Cleanse Datasets Data Governance Data Validation 85

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. This is one of the disadvantages of big data in healthcare.

Big Data 52

Big Data Media Government Big Data Skills 52

phData: Data Engineering

SEPTEMBER 19, 2023

This blog will guide you through the best data modeling methodologies and processes for your data lake, helping you make informed decisions and optimize your data management practices. What is a Data Lake? What are Data Modeling Methodologies, and Why Are They Important for a Data Lake? Contact phData Today!

Data Lake 52

Data Lake Process Metadata Data Warehouse 52

Cloudera

MARCH 22, 2023

While a business analyst may wonder why the values in their customer satisfaction dashboard have not changed since yesterday, a DBA may want to know why one of today’s queries took so long, and a system administrator needs to find out why data storage is skewed to a few nodes in the cluster.

Data Governance 88

Data Governance Government Business Analyst Metadata 88

Cloudera

JUNE 27, 2023

The way to achieve this balance is by moving to a modern data architecture (MDA) that makes it easier to manage, integrate, and govern large volumes of distributed data. When you deploy a platform that supports MDA you can consolidate other systems, like legacy data mediation and disparate data storage solutions.

Data Architecture 62

Data Architecture Architecture Data Governance Government 62

Knowledge Hut

MARCH 28, 2024

Job Role 1: Azure Data Engineer Azure Data Engineers develop, deploy, and manage data solutions with Microsoft Azure data services. They use many data storage, computation, and analytics technologies to develop scalable and robust data pipelines. GDPR, HIPAA), and industry standards.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

Precisely

MARCH 23, 2023

Is your company making commitments to environmental, social, and governance (ESG) efforts? How are you quantifying those results, and can you make sure you have the most accurate and current data? In summary: your ESG data needs data integrity. Let’s examine that more.

Data Integration 52

Data Integration Government High Quality Data Data 52

Knowledge Hut

JANUARY 18, 2024

IBM is one of the best companies to work for in Data Science. The platform allows not only data storage but also deep data processing by making use of Apache Hadoop. The CDP private cloud is a scalable data storage solution that can handle analytical and machine learning workloads.

Data Science 98

Data Science Amazon Web Services Finance Big Data 98

Monte Carlo

JUNE 2, 2024

Monitoring and Ensuring Data Quality and Performance: In 68% of job postings, engineers use data observability tools such as Monte Carlo to monitor the health and performance of data systems, ensuring data quality, detecting anomalies, and troubleshooting issues to keep data pipelines reliable.

Engineering 52

Engineering Amazon Web Services Data Science AWS 52

Monte Carlo

JUNE 2, 2024

Monitoring and Ensuring Data Quality and Performance: In 68% of job postings, engineers use data observability tools such as Monte Carlo to monitor the health and performance of data systems, ensuring data quality, detecting anomalies, and troubleshooting issues to keep data pipelines reliable.

Engineering 52

Engineering Amazon Web Services Data Science AWS 52

AltexSoft

AUGUST 29, 2023

In 2010, a transformative concept took root in the realm of data storage and analytics — a data lake. The term was coined by James Dixon , Back-End Java, Data, and Business Intelligence Engineer, and it started a new era in how organizations could store, manage, and analyze their data.

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

Christophe Blefari

JUNE 16, 2023

The power of pre-commit and SQLFluff —SQL is a query programming language used to retrieve information from data storages, and like any other programming language, you need to enforce checks at all times. This is where you should use pre-commit and SQLFluff. PS: I just split the Fast News to have a smaller one.

Programming Language 130

Programming Language SQL PostgreSQL Data 130

Knowledge Hut

DECEMBER 23, 2023

Topics covered include: Virtual Machines (VMs) Azure Virtual Network Azure Resource Manager (ARM) Azure Storage Azure Identity and Access Management Azure Monitor and Azure Security Center 2. It is the highest level of certification in the Azure Solutions Architect track.

Cloud Computing 52

Cloud Computing Certification Data Lake Government 52

Christophe Blefari

JANUARY 20, 2024

formats — This is a huge part of data engineering. Picking the right format for your data storage. Read technical blogs, watch conferences and read 📘 Designing Data-Intensive Applications (even if it could be overkill). Wrong format often means bad querying performance and user-experience.

Data Engineering 130

Data Engineering Data Engineer Engineering Hadoop 130

Data Engineering Weekly

NOVEMBER 26, 2023

We’ve seen a fleet of tools like TextToSQL ; Slack bots to ask questions to your data warehouse , Chat interface for spreadsheets , and even the English SDK for Spark ! I believe the impact of LLM will go further down in the stack with data storage formats in the coming years. Let me know your thoughts in the comments.

Data Engineering 70

Data Engineering Data Engineer Engineering Kafka 70

Knowledge Hut

MARCH 20, 2024

An Azure Data Engineer is a professional specializing in designing, implementing, and managing data solutions on the Microsoft Azure cloud platform. They possess expertise in various aspects of data engineering. As an Azure data engineer myself, I was responsible for managing data storage, processing, and analytics.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Governance 52

Knowledge Hut

MARCH 15, 2024

An Azure Data Engineer is a professional specializing in designing, implementing, and managing data solutions on the Microsoft Azure cloud platform. They possess expertise in various aspects of data engineering. As an Azure data engineer myself, I was responsible for managing data storage, processing, and analytics.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Governance 52

Towards Data Science

DECEMBER 15, 2023

I am the first senior machine learning engineer at DataGrail, a company that provides a suite of B2B services helping companies secure and manage their customer data. It appears that brand trust and safety weren’t enough motivation on their own to get many businesses to tighten up the ship where data protection was concerned.

Machine Learning 90

Machine Learning Data Science Data Security Data Storage 90

Knowledge Hut

SEPTEMBER 25, 2023

This exam demonstrates your understanding of cloud concepts, Azure architecture, governance, management , and services. Under this course, the syllabus requires you to describe cloud concepts, Azure architecture and services, and Azure management and governance. The primary cost is USD 99 (based on the location).

Certification 52

Certification Cloud Computing Programming Language Government 52

Edureka

AUGUST 1, 2023

These networks are typically used by organizations that require strict control over their data, such as consortiums or government institutions. Both permissioned and private blockchains provide an exclusive and secure space for transactions and data storage.

Data Transparency 52

Data Transparency Data Storage Healthcare Finance 52

U-Next

MARCH 12, 2023

These programs and technologies include, among other things, servers, databases, networking, and data storage. Cloud-based storage enables you to store files in a remote database as opposed to a local or proprietary hard drive. Which of the following is appropriate for managing governance across many Azure subscriptions?

Cloud Computing 75

Cloud Computing Unstructured Data Cloud Government 75

phData: Data Engineering

APRIL 4, 2023

Instead of focusing on all the manual steps required to ingest data, cleanse it, prepare it for usage, hash and block sensitive data, and then start querying it, modern organizations see great value in reducing data lake management efforts through pipeline automation and governance.

Data Lake 52

Data Lake Amazon Web Services Data Cleanse Data Warehouse 52

Monte Carlo

JUNE 4, 2024

Not just separating compute from storage, but “compute from compute” with multiple workloads running on the same data. Governance : Snowpark Container Services and a unified platform for data and governance. Collaboration : Native apps and data sharing so you can share across regions and organizations.

Government 45

Government Unstructured Data Coding Machine Learning 45

Knowledge Hut

MARCH 13, 2024

Salary: $105,000 - $ 110,000 Big Data Engineer Job Growth and Salary Job opportunities for big data engineers continue to grow as the new technology enters business strategies. Data will play an essential role in deciding business models and government policies.

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

Knowledge Hut

MARCH 13, 2024

Salary: $105,000 - $ 110,000 Big Data Engineer Job Growth and Salary Job opportunities for big data engineers continue to grow as the new technology enters business strategies. Data will play an essential role in deciding business models and government policies.

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

Data Engineering Weekly

MARCH 24, 2024

Their implementation involved creating Data Mesh Environments (DMEs) for better infrastructure, ensuring homogeneous technology use, and establishing a singular user access point, significantly enhancing scalability and governance while supporting continuous innovation.

Data Engineering 62

Data Engineering Data Engineer Engineering Metadata 62

Monte Carlo

APRIL 24, 2023

Data lakes are useful, flexible data storage repositories that enable many types of data to be stored in its rawest state. Notice how Snowflake dutifully avoids (what may be a false) dichotomy by simply calling themselves a “data cloud.”

Data Lake 52

Data Lake Google Cloud Data Warehouse AWS 52