Astera

DECEMBER 16, 2024

Key Features No-Code Data Pipeline: With Hevo Data, users can set up data pipelines without the need for coding skills, which reduces reliance on technical resources. Wide Source Integration: The platform supports connections to over 150 data sources. Similarly, the custom plans are also not very customizable.

Data Warehouse 52

Data Warehouse Real-time Data Monitoring Data Quality 52

Astera

SEPTEMBER 25, 2024

It provides many features for data integration and ETL. While Airbyte is a reputable tool, it lacks certain key features, such as built-in transformations and good documentation. Generative AI Support: Airbyte provides access to LLM frameworks and supports vector data to power generative AI applications.

Real-time Data 52

Real-time Data Data Warehouse Documentation Monitoring 52

Sisense

MAY 26, 2020

In this post, we’ll discuss these challenges in detail and include some tips and tricks to help you handle text data more easily. Unstructured data and Big Data. Most common challenges we face in NLP are around unstructured data and Big Data. is “big” and highly unstructured. Real-time data.

Big Data 98

Big Data Real-time Data Documentation 98

Whizlabs

DECEMBER 16, 2020

Splunk is proprietary software that provides a web-based interface for searching, monitoring, and evaluating machine-based big data. It performs different functions, such as collecting, indexing, and correlating real-time data in a container that has searchable properties. Preparing for a Big Data interview?

Big Data 91

Big Data Monitoring Visualization Real-time Data 91

Astera

DECEMBER 16, 2022

Businesses operating in the tech industry are among the most significant data recipients. The rise of big data has sharply raised the volume of data that needs to be gathered, processed, and analyzed. Let’s explore the 7 data management challenges that tech companies face and how to overcome them. See Case Sudy.

Data Management 52

Data Management Data Warehouse Big Data Procurement 52

Astera

DECEMBER 16, 2022

Businesses operating in the tech industry are among the most significant data recipients. The rise of big data has sharply raised the volume of data that needs to be gathered, processed, and analyzed. Let’s explore the 7 data management challenges that tech companies face and how to overcome them. See Case Sudy.

Data Management 52

Data Management Data Warehouse Big Data Procurement 52

Astera

DECEMBER 2, 2022

Businesses operating in the tech industry are among the most significant data recipients. The rise of big data has sharply raised the volume of data that needs to be gathered, processed, and analyzed. Let’s explore the 7 data management challenges that tech companies face and how to overcome them. See Case Sudy.

Data Management 52

Data Management Data Warehouse Big Data Procurement 52

Data Pine

JUNE 5, 2019

When presenting data and communicating insights, it is important to create a dialogue – no one likes being preached throughout a whole presentation. Dashboards allow you to “tease out” patterns in your data that you might not see in a purely numerical format. Additionally, people have different levels of “tech-savvy.”

Logistics 126

Logistics Visualization Data Visualization Digital 126

Astera

JANUARY 17, 2024

Common methods include Extract, Transform, and Load (ETL), Extract, Load, and Transform (ELT), data replication, and Change Data Capture (CDC). Each of these methods serves a unique purpose and is chosen based on factors such as the volume of data, the complexity of the data structures, and the need for real-time data availability.

Real-time Data 52

Real-time Data Data Warehouse Data Management Data Security 52

Astera

NOVEMBER 30, 2023

It’s designed to efficiently handle and process vast volumes of diverse data, providing a unified and organized view of information. With its ability to adapt to changing data types and offer real-time data processing capabilities, it empowers businesses to make timely, data-driven decisions.

Data Warehouse 52

Data Warehouse Big Data Healthcare Data Governance 52

Data Pine

JANUARY 21, 2020

Big data plays a crucial role in online data analysis , business information, and intelligent reporting. Companies must adjust to the ambiguity of data, and act accordingly. Another crucial factor to consider is the possibility to utilize real-time data.

Business Intelligence 103

Business Intelligence Business Intelligence Procurement Visualization 103

Astera

DECEMBER 21, 2022

A research study shows that businesses that engage in data-driven decision-making experience 5 to 6 percent growth in their productivity. These data extraction tools are now a necessity for majority organizations. Extract Data from Unstructured Documents with ReportMiner. What is Data Extraction? Data Mining.

Data Mining 52

Data Mining Documentation Data Quality Data Warehouse 52

Astera

FEBRUARY 26, 2024

Automated data mapping Data quality and profiling. Real-time data previews Workflow Automation Job Scheduler Matillion Matillion ETL is also a cloud-native data integration platform designed to ETL data into cloud data warehouses such as Azure Synapse Analytisc, Amazon Redshift, Google BigQuery, and Snowflake.

Data Warehouse 52

Data Warehouse Data Quality Real-time Data Documentation 52

Astera

JUNE 6, 2023

ETL architectures have become a crucial solution for managing and processing large volumes of data efficiently, addressing the challenges faced by organizations in the era of big data. Regular monitoring, testing, and documentation practices are crucial to maintaining reliability and scalability.

Data Quality 52

Data Quality Monitoring Data Warehouse Data Security 52

Astera

MAY 25, 2023

Unlocking the Potential of Amazon Redshift Amazon Redshift is a powerful cloud-based data warehouse that enables quick and efficient processing and analysis of big data. Amazon Redshift can handle large volumes of data without sacrificing performance or scalability.

Data Warehouse 52

Data Warehouse Data Modelling Banking Real-time Data 52

Astera

JANUARY 2, 2024

Breaking down data silos and building a single source of truth (SSOT) are some prerequisites that organizations must do right to ensure data accuracy. Big Data Management Growing data volumes compel organizations to invest in scalable data management solutions.

Data Management 52

Data Management Data Warehouse Data Governance Data Quality 52

Astera

OCTOBER 31, 2023

On the other hand, an ELT pipeline is geared towards loading data into the destination system as quickly as possible. The data is then transformed using the destination system’s processing capabilities when required. Documentation: Document your ETL pipeline, including details about data sources, transformation logic, and destination.

Data Warehouse 52

Data Warehouse Monitoring Data Quality Documentation 52

Astera

OCTOBER 27, 2023

Data Ingestion Layer: The data journey in a cloud data warehouse begins with the data ingestion layer, which is responsible for seamlessly collecting and importing data. This layer often employs ETL processes to ensure that the data is transformed and formatted for optimal storage and analysis.

Data Warehouse 52

Data Warehouse Data Quality Big Data Predictive Analytics 52

Astera

SEPTEMBER 20, 2024

There are several types of NoSQL databases, including document stores (e.g., This global presence ensures consistent and efficient data retrieval regardless of location. Flexible Data Models: Cloud databases often support multiple data models, such as relational, document, key-value, and graph databases.

Data Warehouse 40

Data Warehouse Cloud Computing E-Commerce Documentation 40

Data Pine

AUGUST 29, 2022

The saying “knowledge is power” has never been more relevant, thanks to the widespread commercial use of big data and data analytics. The rate at which data is generated has increased exponentially in recent years. Essential Big Data And Data Analytics Insights. million searches per day and 1.2

Big Data 105

Big Data Data Analytics Data Analytics Data Mining 105

Smart Data Collective

JUNE 6, 2021

While you may think that you understand the desires of your customers and the growth rate of your company, data-driven decision making is considered a more effective way to reach your goals. The use of big data analytics is, therefore, worth considering—as well as the services that have come from this concept, such as Google BigQuery.

Big Data 342

Big Data Data Analytics Data Analytics Data Warehouse 342

Data Pine

FEBRUARY 22, 2022

Over the past 5 years, big data and BI became more than just data science buzzwords. Without real-time insight into their data, businesses remain reactive, miss strategic growth opportunities, lose their competitive edge, fail to take advantage of cost savings options, don’t ensure customer satisfaction… the list goes on.

Business Intelligence 87

Business Intelligence Business Intelligence Chief Data Officer Government 87

Data Pine

APRIL 16, 2019

The term ‘big data’ alone has become something of a buzzword in recent times – and for good reason. The cost of waiting to see what happens is well documented…. 8) Present the data in a meaningful way. We read about it everywhere. 9) Set measurable goals for decision making.

IBM Maintenance 115

IBM Maintenance IBM cost IBM Support Retail 115

Astera

AUGUST 28, 2024

The concept of data analysis is as old as the data itself. Big data and the need for quickly analyzing large amounts of data have led to the development of various tools and platforms with a long list of features. Offers granular access control to maintain data integrity and regulatory compliance.

IBM Support 40

IBM Support IBM Maintenance IBM cost Data Mining 40