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

Cloudera

MARCH 5, 2024

With built-in features like time travel, schema evolution, and streamlined data discovery, Iceberg empowers data teams to enhance data lake management while upholding data integrity. Zero Downtime Upgrades Beyond improvements to Iceberg and Ozone, the platform now boasts Zero Downtime Upgrades (ZDU).

Data Lake 86

Data Lake Government Data Storage Kafka 86

Precisely

NOVEMBER 9, 2023

According to the 2023 Data Integrity Trends and Insights Report , data quality is the #1 barrier to achieving data integrity. And poor address quality is the top challenge preventing business leaders from effectively using location data to add context and multidimensional value to their decision-making processes.

Data Integration 65

Data Integration Medical Insurance Retail 65

Hevo

DECEMBER 29, 2023

Microsoft SQL Server, an RDBMS popular for its robust database management capabilities, offers a diverse range of data types to cater to varied data storage needs. However, data practitioners experience a variety of challenges related to the SQL Server data types.

SQL 40

SQL Data Storage Data Data Integration 40

Knowledge Hut

DECEMBER 21, 2023

Few benefits of Cloud computing are listed below: Scalability: With Cloud computing we get scalable applications which suits for large scale production systems for Businesses which store and process large sets of data. Create a data integrity protection system based on blockchain that is compatible with current cloud computing platforms.

Cloud Computing 52

Cloud Computing Cloud Algorithm Healthcare 52

Knowledge Hut

SEPTEMBER 25, 2023

As an Azure Data Engineer, you will be expected to design, implement, and manage data solutions on the Microsoft Azure cloud platform. You will be in charge of creating and maintaining data pipelines, data storage solutions, data processing, and data integration to enable data-driven decision-making inside a company.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Lake 52

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 Cleanse Data Governance 52

Hevo

APRIL 26, 2024

In today’s data-driven world, data storage and analysis are essential to derive deeper insights for smarter decision-making. As data volumes increase, organizations consider shifting transactional data from Oracle databases on AWS RDS to a powerful platform like Google BigQuery.

AWS 52

AWS Data Storage Database Data 52

Knowledge Hut

APRIL 23, 2024

While data warehouses focus on structured data for historical analysis, big data platforms enable processing and analysis of diverse, large-scale, and often unstructured data in real-time. Data Warehouse or Big Data: Accepted Data Source Data Warehouse accepts various internal and external data sources.

Data Warehouse 52

Data Warehouse Big Data Unstructured Data Hadoop 52

Databand.ai

MAY 30, 2023

Data quality can be influenced by various factors, such as data collection methods, data entry processes, data storage, and data integration. Maintaining high data quality is crucial for organizations to gain valuable insights, make informed decisions, and achieve their goals.

Data Cleanse 85

Data Cleanse Datasets Data Governance Data Validation 85

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

The Modern Data Company

MAY 10, 2023

Avoid data warehouses if your organization: Deals with diverse data types, including unstructured and semi-structured data. A more flexible solution like a data lake or lakehouse may be better. Needs a cost-effective and easily scalable data storage solution, particularly for large volumes of data.

Data Management 52

Data Management Management Data Lake Data Warehouse 52

The Modern Data Company

MAY 10, 2023

Avoid data warehouses if your organization: Deals with diverse data types, including unstructured and semi-structured data. A more flexible solution like a data lake or lakehouse may be better. Needs a cost-effective and easily scalable data storage solution, particularly for large volumes of data.

Data Management 52

Data Management Management Data Lake Data Warehouse 52

The Modern Data Company

MAY 10, 2023

Avoid data warehouses if your organization: Deals with diverse data types, including unstructured and semi-structured data. A more flexible solution like a data lake or lakehouse may be better. Needs a cost-effective and easily scalable data storage solution, particularly for large volumes of data.

Data Management 52

Data Management Management Data Lake Data Warehouse 52

Knowledge Hut

NOVEMBER 17, 2023

Data Modeling The process of creating a logical and physical data model for a system is known as data modeling. Understanding data modeling concepts like entity-relationship diagrams, data normalization, and data integrity is a requirement for an Azure Data Engineer.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

Edureka

FEBRUARY 7, 2023

This exam measures your ability to design and implement data management, data processing, and data security solutions using Azure data services. The course covers the skills and knowledge required to design and implement data management, data processing, and data security solutions using Azure data services.

Data Engineering 52

Data Engineering Data Engineer Engineering Programming Language 52

Knowledge Hut

DECEMBER 28, 2023

The certification path covers a comprehensive range of topics crucial for a successful career as an Azure Data Engineer: Data storage options like Azure Data Lake Storage and Azure SQL Data Warehouse Data processing solutions such as Azure Databricks and Azure Stream Analytics.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Knowledge Hut

APRIL 25, 2023

Data modeling: Data engineers should be able to design and develop data models that help represent complex data structures effectively. Data processing: Data engineers should know data processing frameworks like Apache Spark, Hadoop, or Kafka, which help process and analyze data at scale.

Data Engineering 52

Data Engineering Data Engineer Engineering Google Cloud 52

Knowledge Hut

JULY 24, 2023

The ability of a DBMS to change its schema definition at one level without affecting the schema definition at the next level is called data independence. But why do we need data integrity in a DBMS? In addition to data entered by users, database systems typically store large amounts of data.

Database Design 52

Database Design Relational Database Metadata Database 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. This approach ensures that only processed and refined data is housed in the data warehouse, leaving the raw data outside of it.

Raw Data 52

Raw Data Data Warehouse Data Cleanse Data Integration 52

Hevo

AUGUST 17, 2023

Businesses often rely on multiple data storage and processing services to meet their diverse requirements. Google Sheets and Azure Synapse are well-known choices used for storing data. While Google Sheets offer a cost-effective data storage facility, Azure Synapse provides data warehousing and advanced analytics capabilities.

Data Storage 52

Data Storage Data Process Data Integration 52

Hevo

APRIL 12, 2024

This data can be thoroughly analyzed to gain valuable insights that optimize business performance. There are various tools and platforms that facilitate data storage and analysis. sources using multiple techniques. Moving your SQL […]

SQL 40

SQL Data Storage Data Data Integration 40

ProjectPro

FEBRUARY 8, 2023

ETL developer is a software developer who uses various tools and technologies to design and implement data integration processes across an organization. The role of an ETL developer is to extract data from multiple sources, transform it into a usable format and load it into a data warehouse or any other destination database.

ETL Tools 52

ETL Tools Data Cleanse Data Warehouse Big Data 52

Towards Data Science

JANUARY 17, 2024

Parquet vs ORC vs Avro vs Delta Lake Photo by Viktor Talashuk on Unsplash The big data world is full of various storage systems, heavily influenced by different file formats. These are key in nearly all data pipelines, allowing for efficient data storage and easier querying and information extraction.

Big Data 75

Big Data Data Data Storage SQL 75

Knowledge Hut

APRIL 23, 2024

Legal and Regulatory Issues Legal and regulatory issues in big data might persist despite many measures companies undertake to safeguard users and insulate themselves from potential lawsuits. Data governance, i.e., the internal policies designed to manage data storage and access, plays a key role in controlling such risks.

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

Knowledge Hut

MARCH 22, 2024

You maintain the data integrity, security, and performance by monitoring, optimizing, and troubleshooting database operations. Education & Skills Required Bachelor’s or Master’s degree in Computer Science, Data Science , or a related field. Good Hold on MongoDB and data modeling. Strong programming skills (e.g.,

MongoDB 52

MongoDB Amazon Web Services Computer Science Education 52

Knowledge Hut

JULY 27, 2023

With cyber threats becoming increasingly complex and sophisticated, it is crucial for organizations and individuals to implement strong security measures to safeguard sensitive information and maintain data integrity. It is mainly employed for checking data integrity in non-critical applications.

IT 52

IT Algorithm Utilities Data Integration 52

Knowledge Hut

NOVEMBER 17, 2023

Data Architecture and Design: These experts excel in creating effective data structures that meet scalability requirements, ensure optimal data storage, processing, and retrieval, and correspond with business demands. Azure Data Factory stands at the forefront, orchestrating data workflows.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Lake 52

Ascend.io

SEPTEMBER 14, 2023

Use Case: Transforming monthly sales data to weekly averages import dask.dataframe as dd data = dd.read_csv('large_dataset.csv') mean_values = data.groupby('category').mean().compute() compute() Data Storage Python extends its mastery to data storage, boasting smooth integrations with both SQL and NoSQL databases.

Data Engineering 52

Data Engineering Data Engineer Python Engineering 52

Knowledge Hut

JULY 26, 2023

The use of hash tables or hash indexes allows for compact storage of data records. Each bucket or slot within the hash table can hold multiple data records associated with the same hash code, maximizing the efficiency of data storage. It uses hash codes and hash tables to provide fast access to data records.

Database 52

Database Data Storage Utilities Coding 52

Monte Carlo

NOVEMBER 20, 2023

But as businesses pivot and technologies advance, data migrations are—regrettably—unavoidable. Much like a chess grandmaster contemplating his next play, data migrations are a strategic move. A good data storage migration ensures data integrity, platform compatibility, and future relevance.

MongoDB 52

MongoDB ETL Tools Database Data 52

Hevo

MAY 30, 2023

If you’re involved in the data space, you must have come across the term AWS Data Engineering. To explain in simple words, AWS Data Engineering manages Data Pipelines, Data Transfer, and Data Storage. In this article, you will learn about the process and tools in AWS Data Engineering.

AWS 52

AWS Data Engineering Data Engineer Engineering 52

Hevo

MAY 18, 2023

Data is regularly transferred between apps using these files. BigQuery, Google’s data warehouse as a service, combines data storage and analytics in one package. Databases support CSV files on a regular basis. BigQuery allows […]

Data Warehouse 52

Data Warehouse Data Storage Data Database 52

Hevo

MAY 1, 2023

Modern businesses are data-driven – they use data in daily operations and decision-making. Data is collected from a variety of data storage systems, formats, and locations, and data engineers have a hefty job structuring, cleaning, and integrating this data.

ETL Tools 52

ETL Tools Data Storage Data Engineering Data Engineer 52

Monte Carlo

JULY 11, 2023

This can involve altering values, suppressing certain data points, or selectively presenting information to support a particular agenda. System or technical errors: Errors within the data storage, retrieval, or analysis systems can introduce inaccuracies. is the gas station actually where the map says it is?).

Data Cleanse 40

Data Cleanse Datasets Data Governance Government 40

Hevo

FEBRUARY 23, 2023

As businesses continue to generate massive amounts of data, the need for efficient and scalable data storage and analysis solutions becomes increasingly important. Two popular options for data warehousing are Google BigQuery and Azure Synapse Analytics, both of which offer powerful features for processing large datasets.

Data Storage 52

Data Storage Datasets Process Data 52