what are big data tools?
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There are a number of big data tools available in the market such as Hadoop which helps in storing and processing large data, Spark helps in-memory calculation, Storm helps in faster processing of unbounded data, Apache Cassandra provides high availability and scalability of a database, MongoDB provides cross-platform ...
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['SAS. It is one of those data science tools which are specifically designed for statistical operations. ... ', 'Apache Spark. ... ', 'BigML. ... ', 'D3. ... ', 'MATLAB. ... ', 'Excel. ... ', 'ggplot2. ... ', 'Tableau.']
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Spark is a fast and general processing engine compatible with Hadoop data. It can run in Hadoop clusters through YARN or Spark's standalone mode, and it can process data in HDFS, HBase, Cassandra, Hive, and any Hadoop InputFormat.
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Sqoop (SQL-to-Hadoop) is a big data tool that offers the capability to extract data from non-Hadoop data stores, transform the data into a form usable by Hadoop, and then load the data into HDFS. This process is called ETL, for Extract, Transform, and Load. ... Like Pig, Sqoop is a command-line interpreter.
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['RightData.', 'Informatica Data Validation.', 'QuerySurge.', 'ICEDQ.', 'Datagaps ETL Validator.', 'QualiDI.', 'Talend Open Studio for Data Integration.', "Codoid's ETL Testing Services."]
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['Need For Synchronization Across Disparate Data Sources. ... ', 'Acute Shortage Of Professionals Who Understand Big Data Analysis. ... ', 'Getting Meaningful Insights Through The Use Of Big Data Analytics. ... ', 'Getting Voluminous Data Into The Big Data Platform.']
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['AI and machine learning.', 'Blockchain.', 'Python.', 'Amazon Web Services.', 'Hadoop/Big Data.', 'Mobile technologies (Android or OS)', 'Advanced JavaScript framework (e.g., Angular, React, VueJS)', 'Spring Boot/microservices.']
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Apache Spark is a data processing framework that can quickly perform processing tasks on very large data sets, and can also distribute data processing tasks across multiple computers, either on its own or in tandem with other distributed computing tools.
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['Spreadsheets. Spreadsheets are hands-down the best-known data tool. ... ', 'SQL. ... ', 'Statistical Software. ... ', 'Visualization and Dashboarding. ... ', 'Analytics Tools. ... ', 'Business Intelligence.']
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['OLAP (Online Analytical Processing) This component of BI allows executives to sort and select aggregates of data for strategic monitoring. ... ', 'Advanced Analytics or Corporate Performance Management (CPM) ... ', 'Real-time BI. ... ', 'Data Warehousing. ... ', 'Data Sources.']
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['Analytica — visual analytics and statistics package.', 'Angoss — products KnowledgeSEEKER and KnowledgeSTUDIO incorporate several data mining algorithms.', 'ASReml — for restricted maximum likelihood analyses.', 'BMDP — general statistics package.', 'Cornerstone — engineering & DoE focused statistical software.']
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The best data visualization tools include Google Charts, Tableau, Grafana, Chartist. js, FusionCharts, Datawrapper, Infogram, ChartBlocks, and D3. js. The best tools offer a variety of visualization styles, are easy to use, and can handle large data sets.
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Big data challenges include capturing data, data storage, data analysis, search, sharing, transfer, visualization, querying, updating, information privacy and data source. Big data was originally associated with three key concepts: volume, variety, and velocity.
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ETL tools collect, read, and migrate large volumes of raw data from multiple data sources and across disparate platforms. They load that data into a single database, data store, or data warehouse for easy access.
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["The 'Tell Me' Box. ... ", 'Forecasting. ... ', 'Search field (PivotTables) ... ', 'Date Grouping (PivotTables) ... ', 'Histograms and Pareto charts. ... ', 'Sunburst charts. ... ', 'Waterfall charts. ... ', '3D data map.']
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Data collection tools refer to the devices/instruments used to collect data, such as a paper questionnaire or computer-assisted interviewing system. Case Studies, Checklists, Interviews, Observation sometimes, and Surveys or Questionnaires are all tools used to collect data.
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['Amazon Redshift. Redshift is a cloud-based data warehousing tool for enterprises. ... ', 'Microsoft Azure. Azure SQL data warehouse is a cloud-based relational database from Microsoft. ... ', 'Google BigQuery. ... ', 'Snowflake. ... ', 'Micro Focus Vertica. ... ', 'Teradata. ... ', 'Amazon DynamoDB. ... ', 'PostgreSQL.']