Dataconomy

SEPTEMBER 27, 2023

The Microsoft Certified Solutions Associate and Microsoft Certified Solutions Expert certifications cover a wide range of topics related to Microsoft’s technology suite, including Windows operating systems, Azure cloud computing, Office productivity software, Visual Studio programming tools, and SQL Server databases.

Database Administration 113

Database Administration Database Azure Cloud Computing 113

ODSC - Open Data Science

JUNE 22, 2023

While databases were the traditional way to store large amounts of data, a new storage method has developed that can store even more significant and varied amounts of data. These are called data lakes. What Are Data Lakes? However, even digital information has to be stored somewhere.

Data Lakes 98

Data Lakes Data Warehouse Database Data Science 98

Analytics Vidhya

JULY 29, 2022

This article was published as a part of the Data Science Blogathon. Introduction Processing large amounts of raw data from various sources requires appropriate tools and solutions for effective data integration. Building an ETL pipeline using Apache […].

ETL 383

ETL Data Science Analytics Analytics 383

Smart Data Collective

JANUARY 22, 2020

In recent years, cloud computing has gained increasing popularity and proved its effectiveness. There is no doubt that cloud services are changing the business environment. Small companies value the ability to store documents in the cloud and conveniently manage them. Risks Associated with Cloud Computing.

Cloud Computing 76

Cloud Computing Data Warehouse Database Algorithm 76

IBM Journey to AI blog

DECEMBER 7, 2023

Online analytical processing (OLAP) database systems and artificial intelligence (AI) complement each other and can help enhance data analysis and decision-making when used in tandem. Defining OLAP today OLAP database systems have significantly evolved since their inception in the early 1990s.

Data Preparation 72

Data Preparation Database Data Analysis Data Analysis 72

Alation

JANUARY 17, 2023

The modern data stack is a combination of various software tools used to collect, process, and store data on a well-integrated cloud-based data platform. It is known to have benefits in handling data due to its robustness, speed, and scalability. Data ingestion/integration services. Data orchestration tools.

Data Warehouse 52

Data Warehouse ETL Tableau Cloud Data 52

Pickl AI

OCTOBER 6, 2024

It is a crucial data integration process that involves moving data from multiple sources into a destination system, typically a data warehouse. This process enables organisations to consolidate their data for analysis and reporting, facilitating better decision-making. ETL stands for Extract, Transform, and Load.

ETL 52

ETL Data Warehouse Data Quality Data Lakes 52

Analytics Vidhya

FEBRUARY 20, 2023

Introduction Azure data factory (ADF) is a cloud-based data ingestion and ETL (Extract, Transform, Load) tool. The data-driven workflow in ADF orchestrates and automates data movement and data transformation.

Azure 282

Azure ETL Analytics Analytics 282

Mlearning.ai

FEBRUARY 16, 2023

The demand for information repositories enabling business intelligence and analytics is growing exponentially, giving birth to cloud solutions. The ultimate need for vast storage spaces manifests in data warehouses: specialized systems that aggregate data coming from numerous sources for centralized management and consistency.

Data Warehouse 52

Data Warehouse Business Intelligence Business Intelligence Database 52

Alation

DECEMBER 14, 2021

It’s only been 15 years since AWS took the first steps to the cloud with S3 and EC2, which launched in 2006. With the database services launched soon after, developers had all the tools they needed to create applications without having to create the infrastructure to run them. Quick Takes: Cloud Use Cases & Stories.

AWS 52

AWS Data Lakes Data Warehouse Machine Learning 52

AWS Machine Learning Blog

JULY 17, 2023

With cloud computing, as compute power and data became more available, machine learning (ML) is now making an impact across every industry and is a core part of every business and industry. Amazon Redshift is a fully managed, fast, secure, and scalable cloud data warehouse.

Clustering 79

Clustering AWS ML ML 79

Pickl AI

NOVEMBER 4, 2024

Role of Data Engineers in the Data Ecosystem Data Engineers play a crucial role in the data ecosystem by bridging the gap between raw data and actionable insights. They are responsible for building and maintaining data architectures, which include databases, data warehouses, and data lakes.

Data Engineering 52

Data Engineering Data Engineering Data Engineer Data Engineering 52

Precisely

JANUARY 25, 2024

Many organizations adopt a long-term approach, leveraging the relative strengths of both mainframe and cloud systems. This integrated strategy keeps a wide range of IT options open, blending the reliability of mainframes with the innovation of cloud computing. Let’s examine each of these patterns in greater detail.

Data Governance 69

Data Governance Database Cloud Data Data Lakes 69

phData

NOVEMBER 1, 2023

The Snowflake Data Cloud offers a scalable, cloud-native data warehouse that provides the flexibility, performance, and ease of use needed to meet the demands of modern businesses. Cloud computing resources can quickly become a financial burden if not managed effectively.

Data Warehouse 52

Data Warehouse SQL Database Cloud Computing 52

Analytics Vidhya

FEBRUARY 25, 2023

Introduction A data lake is a centralized and scalable repository storing structured and unstructured data. The need for a data lake arises from the growing volume, variety, and velocity of data companies need to manage and analyze.

Data Lakes 178

Data Lakes Analytics Analytics Data Warehouse 178

phData

OCTOBER 12, 2023

Even farther along the maturative curve, having access to enable features like data encryption/decryption will allow your data organization to easily take advantage of leading-edge capabilities. Incremental processing and data freshness scans become trivial and easy thanks to the metadata Fivetran brings into your cloud data warehouse.

Data Warehouse 52

Data Warehouse Database Cloud Data Data Pipeline 52

Pickl AI

APRIL 6, 2023

In-depth knowledge of distributed systems like Hadoop and Spart, along with computing platforms like Azure and AWS. Sound knowledge of relational databases or NoSQL databases like Cassandra. Answer : Microsoft Azure is a cloud computing platform and service that Microsoft provides. What is Microsoft Azure?

Azure 52

Azure Data Engineering Data Engineering Data Engineer 52

Pickl AI

DECEMBER 10, 2024

Summary: Oracle’s Exalytics, Exalogic, and Exadata transform enterprise IT with optimised analytics, middleware, and database systems. AI, hybrid cloud, and advanced analytics empower businesses to achieve operational excellence and drive digital transformation.

Database 52

Database Analytics Analytics Business Intelligence 52

Precisely

MARCH 10, 2023

Think back to the early 2000s, a time of big data warehouses with rigid structures. Organizations searched for ways to add more data, more variety of data, bigger sets of data, and faster computing speed. There was a massive expansion of efforts to design and deploy big data technologies.

Analytics 59

Analytics Data Warehouse Analytics Big Data 59

Dataconomy

FEBRUARY 23, 2023

Collecting, storing, and processing large datasets Data engineers are also responsible for collecting, storing, and processing large volumes of data. This involves working with various data storage technologies, such as databases and data warehouses, and ensuring that the data is easily accessible and can be analyzed efficiently.

Big Data 91

Big Data Big Data Data Engineering Data Engineering 91

phData

JUNE 27, 2023

The modern data stack (MDS) has seen massive changes over the past few decades, fueled by technological advances and new platforms. As a result, we are presented with specialized data platforms, databases, and warehouses. All of which have a specific role used to collect, store, process, and analyze data.

SQL 52

SQL Database Data Quality Data Warehouse 52

phData

JANUARY 15, 2024

Access Controls and User Authentication Access control regulates who can interact with various database objects, such as tables, views, and functions. In Snowflake, securable objects (representing database resources) are controlled through roles. HITRUST: Meeting stringent standards for safeguarding healthcare data.

Data Governance 52

Data Governance Database Data Warehouse Cloud Computing 52

Alation

APRIL 14, 2022

Cloud providers like Amazon Web Services, Microsoft Azure, Google, and Alibaba not only provide capacity beyond what the data center can provide, their current and emerging capabilities and services drive the execution of AI/ML away from the data center. The future lies in the cloud. Cloud governance. Scheduling.

Data Governance 59

Data Governance ML ML Cloud Data 59

ODSC - Open Data Science

JULY 11, 2023

Hybrid data centers: This refers to a combination of different data center solutions such as using a mix of on-premises, co-location, and cloud-based data centers to meet specific needs. Alternatives to using a data center: 1. They are typically used by organizations to store and manage their own data.

Data Lakes 40

Data Lakes AI AI Cloud Computing 40

phData

MAY 25, 2023

Snowflake is a cloud computing–based data cloud company that provides data warehousing services that are far more scalable and flexible than traditional data warehousing products. Importing data allows you to ingest a copy of the source data into an in-memory database.

Power BI 84

Power BI Analytics Analytics Azure 84

Pickl AI

SEPTEMBER 5, 2024

By leveraging Azure’s capabilities, you can gain the skills and experience needed to excel in this dynamic field and contribute to cutting-edge data solutions. Microsoft Azure, often referred to as Azure, is a robust cloud computing platform developed by Microsoft. What is Azure?

Azure 52

Azure Data Scientist Data Science Machine Learning 52

Dataconomy

FEBRUARY 12, 2024

The acronym ETL—Extract, Transform, Load—has long been the linchpin of modern data management, orchestrating the movement and manipulation of data across systems and databases. This methodology has been pivotal in data warehousing, setting the stage for analysis and informed decision-making.

ETL 195

ETL Data Governance Machine Learning Machine Learning 195